Item talk:Q142816
From geokb
{
"OpenAlex": {
"id": "https://openalex.org/A5046127749",
"orcid": "https://orcid.org/0000-0001-8442-182X",
"display_name": "Yi Zheng",
"display_name_alternatives": [
"Y. Zheng",
"Y. X. Zheng",
"Yi Zheng",
"Zheng Yi"
],
"works_count": 196,
"cited_by_count": 5165,
"summary_stats": {
"2yr_mean_citedness": 10.157894736842104,
"h_index": 36,
"i10_index": 107
},
"ids": {
"openalex": "https://openalex.org/A5046127749",
"orcid": "https://orcid.org/0000-0001-8442-182X"
},
"affiliations": [
{
"institution": {
"id": "https://openalex.org/I3045169105",
"ror": "https://ror.org/049tv2d57",
"display_name": "Southern University of Science and Technology",
"country_code": "CN",
"type": "education",
"lineage": [
"https://openalex.org/I3045169105"
]
},
"years": [
2024,
2023,
2022,
2021,
2020,
2019,
2018,
2017,
2016
]
},
{
"institution": {
"id": "https://openalex.org/I4210141849",
"ror": "https://ror.org/04z3map19",
"display_name": "National Administration of Surveying, Mapping and Geoinformation of China",
"country_code": "CN",
"type": "government",
"lineage": [
"https://openalex.org/I4210141849"
]
},
"years": [
2024
]
},
{
"institution": {
"id": "https://openalex.org/I139024713",
"ror": "https://ror.org/04azbjn80",
"display_name": "Guangdong University of Technology",
"country_code": "CN",
"type": "education",
"lineage": [
"https://openalex.org/I139024713"
]
},
"years": [
2024,
2018
]
},
{
"institution": {
"id": "https://openalex.org/I198423848",
"ror": "https://ror.org/0502a2655",
"display_name": "National Institute for Occupational Safety and Health",
"country_code": "US",
"type": "facility",
"lineage": [
"https://openalex.org/I1289490764",
"https://openalex.org/I1299022934",
"https://openalex.org/I198423848"
]
},
"years": [
2023,
2022,
2021,
2020,
2019,
2018,
2017,
2015
]
},
{
"institution": {
"id": "https://openalex.org/I1289490764",
"ror": "https://ror.org/042twtr12",
"display_name": "Centers for Disease Control and Prevention",
"country_code": "US",
"type": "government",
"lineage": [
"https://openalex.org/I1289490764",
"https://openalex.org/I1299022934"
]
},
"years": [
2023,
2020,
2019,
2018,
2017
]
},
{
"institution": {
"id": "https://openalex.org/I4210093674",
"ror": "https://ror.org/00jjkh886",
"display_name": "Zhoukou Normal University",
"country_code": "CN",
"type": "education",
"lineage": [
"https://openalex.org/I4210093674"
]
},
"years": [
2022
]
},
{
"institution": {
"id": "https://openalex.org/I4210115210",
"ror": "https://ror.org/0247xas18",
"display_name": "Guigang City People's Hospital",
"country_code": "CN",
"type": "healthcare",
"lineage": [
"https://openalex.org/I4210115210"
]
},
"years": [
2022
]
},
{
"institution": {
"id": "https://openalex.org/I20382870",
"ror": "https://ror.org/00scwqd12",
"display_name": "Missouri University of Science and Technology",
"country_code": "US",
"type": "education",
"lineage": [
"https://openalex.org/I20382870"
]
},
"years": [
2018,
2017,
2016,
2015,
2011,
2009,
2008
]
},
{
"institution": {
"id": "https://openalex.org/I4210147811",
"ror": "https://ror.org/05rcfc739",
"display_name": "Shenzhen Municipal People's Government",
"country_code": "CN",
"type": "government",
"lineage": [
"https://openalex.org/I4210147811"
]
},
"years": [
2018
]
},
{
"institution": {
"id": "https://openalex.org/I4210098582",
"ror": "https://ror.org/00rjhhq63",
"display_name": "ZTE (China)",
"country_code": "CN",
"type": "company",
"lineage": [
"https://openalex.org/I4210098582"
]
},
"years": [
2018
]
}
],
"last_known_institutions": [
{
"id": "https://openalex.org/I3045169105",
"ror": "https://ror.org/049tv2d57",
"display_name": "Southern University of Science and Technology",
"country_code": "CN",
"type": "education",
"lineage": [
"https://openalex.org/I3045169105"
]
}
],
"topics": [
{
"id": "https://openalex.org/T10330",
"display_name": "Hydrological Modeling and Water Resource Management",
"count": 78,
"subfield": {
"id": "https://openalex.org/subfields/2312",
"display_name": "Water Science and Technology"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10930",
"display_name": "Global Flood Risk Assessment and Management",
"count": 29,
"subfield": {
"id": "https://openalex.org/subfields/2306",
"display_name": "Global and Planetary Change"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10894",
"display_name": "Groundwater Flow and Transport Modeling",
"count": 22,
"subfield": {
"id": "https://openalex.org/subfields/2305",
"display_name": "Environmental Engineering"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10969",
"display_name": "Optimal Operation of Water Resources Systems",
"count": 21,
"subfield": {
"id": "https://openalex.org/subfields/2212",
"display_name": "Ocean Engineering"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11311",
"display_name": "Biogeochemical Cycling of Nutrients in Aquatic Ecosystems",
"count": 20,
"subfield": {
"id": "https://openalex.org/subfields/2304",
"display_name": "Environmental Chemistry"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11490",
"display_name": "Hydrological Modeling using Machine Learning Methods",
"count": 19,
"subfield": {
"id": "https://openalex.org/subfields/2305",
"display_name": "Environmental Engineering"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10398",
"display_name": "Stable Isotope Analysis of Groundwater and Precipitation",
"count": 16,
"subfield": {
"id": "https://openalex.org/subfields/1906",
"display_name": "Geochemistry and Petrology"
},
"field": {
"id": "https://openalex.org/fields/19",
"display_name": "Earth and Planetary Sciences"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11634",
"display_name": "Assessment of Surface Water Quality",
"count": 15,
"subfield": {
"id": "https://openalex.org/subfields/2312",
"display_name": "Water Science and Technology"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11119",
"display_name": "Urban Stormwater Management and Sustainable Drainage Systems",
"count": 12,
"subfield": {
"id": "https://openalex.org/subfields/2305",
"display_name": "Environmental Engineering"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11284",
"display_name": "Coalbed Methane Recovery and Utilization Practices",
"count": 11,
"subfield": {
"id": "https://openalex.org/subfields/2212",
"display_name": "Ocean Engineering"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T13909",
"display_name": "Ecological Assessment and Urban Development",
"count": 11,
"subfield": {
"id": "https://openalex.org/subfields/2303",
"display_name": "Ecology"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T12724",
"display_name": "Integrated Management of Water, Energy, and Food Resources",
"count": 11,
"subfield": {
"id": "https://openalex.org/subfields/2312",
"display_name": "Water Science and Technology"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10122",
"display_name": "Impact of Persistent Organic Pollutants on Environment and Health",
"count": 11,
"subfield": {
"id": "https://openalex.org/subfields/2307",
"display_name": "Health, Toxicology and Mutagenesis"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10266",
"display_name": "Global Forest Drought Response and Climate Change",
"count": 10,
"subfield": {
"id": "https://openalex.org/subfields/2306",
"display_name": "Global and Planetary Change"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T14249",
"display_name": "On-line Monitoring of Wastewater Quality",
"count": 9,
"subfield": {
"id": "https://openalex.org/subfields/2311",
"display_name": "Industrial and Manufacturing Engineering"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10686",
"display_name": "Endocrine Disruption by Chemical Exposure",
"count": 8,
"subfield": {
"id": "https://openalex.org/subfields/2307",
"display_name": "Health, Toxicology and Mutagenesis"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11619",
"display_name": "Challenges and Applications of Detonation Propulsion Technology",
"count": 8,
"subfield": {
"id": "https://openalex.org/subfields/2202",
"display_name": "Aerospace Engineering"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11371",
"display_name": "Urban Wind Environment and Air Quality Modeling",
"count": 8,
"subfield": {
"id": "https://openalex.org/subfields/2305",
"display_name": "Environmental Engineering"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10032",
"display_name": "Marine Biogeochemistry and Ecosystem Dynamics",
"count": 8,
"subfield": {
"id": "https://openalex.org/subfields/1910",
"display_name": "Oceanography"
},
"field": {
"id": "https://openalex.org/fields/19",
"display_name": "Earth and Planetary Sciences"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10302",
"display_name": "Importance and Conservation of Freshwater Biodiversity",
"count": 8,
"subfield": {
"id": "https://openalex.org/subfields/2309",
"display_name": "Nature and Landscape Conservation"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10753",
"display_name": "Microplastic Pollution in Marine and Terrestrial Environments",
"count": 7,
"subfield": {
"id": "https://openalex.org/subfields/2310",
"display_name": "Pollution"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10419",
"display_name": "Antibiotic Resistance in Aquatic Environments and Wastewater",
"count": 7,
"subfield": {
"id": "https://openalex.org/subfields/2310",
"display_name": "Pollution"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T12697",
"display_name": "Real-time Water Quality Monitoring and Aquaculture Management",
"count": 7,
"subfield": {
"id": "https://openalex.org/subfields/2312",
"display_name": "Water Science and Technology"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10029",
"display_name": "Climate Change and Variability Research",
"count": 7,
"subfield": {
"id": "https://openalex.org/subfields/2306",
"display_name": "Global and Planetary Change"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T13689",
"display_name": "Development and Management of Urban Underground Space",
"count": 6,
"subfield": {
"id": "https://openalex.org/subfields/2215",
"display_name": "Building and Construction"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
}
],
"topic_share": [
{
"id": "https://openalex.org/T11490",
"display_name": "Hydrological Modeling using Machine Learning Methods",
"value": 0.0002771,
"subfield": {
"id": "https://openalex.org/subfields/2305",
"display_name": "Environmental Engineering"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10330",
"display_name": "Hydrological Modeling and Water Resource Management",
"value": 0.000242,
"subfield": {
"id": "https://openalex.org/subfields/2312",
"display_name": "Water Science and Technology"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11119",
"display_name": "Urban Stormwater Management and Sustainable Drainage Systems",
"value": 0.0001806,
"subfield": {
"id": "https://openalex.org/subfields/2305",
"display_name": "Environmental Engineering"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11284",
"display_name": "Coalbed Methane Recovery and Utilization Practices",
"value": 0.0001573,
"subfield": {
"id": "https://openalex.org/subfields/2212",
"display_name": "Ocean Engineering"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10930",
"display_name": "Global Flood Risk Assessment and Management",
"value": 0.0001478,
"subfield": {
"id": "https://openalex.org/subfields/2306",
"display_name": "Global and Planetary Change"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11311",
"display_name": "Biogeochemical Cycling of Nutrients in Aquatic Ecosystems",
"value": 0.0001346,
"subfield": {
"id": "https://openalex.org/subfields/2304",
"display_name": "Environmental Chemistry"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T14427",
"display_name": "Hydrologic Data Management and Analysis",
"value": 0.0001331,
"subfield": {
"id": "https://openalex.org/subfields/1907",
"display_name": "Geology"
},
"field": {
"id": "https://openalex.org/fields/19",
"display_name": "Earth and Planetary Sciences"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10398",
"display_name": "Stable Isotope Analysis of Groundwater and Precipitation",
"value": 0.0001264,
"subfield": {
"id": "https://openalex.org/subfields/1906",
"display_name": "Geochemistry and Petrology"
},
"field": {
"id": "https://openalex.org/fields/19",
"display_name": "Earth and Planetary Sciences"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T13909",
"display_name": "Ecological Assessment and Urban Development",
"value": 0.000121,
"subfield": {
"id": "https://openalex.org/subfields/2303",
"display_name": "Ecology"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10894",
"display_name": "Groundwater Flow and Transport Modeling",
"value": 0.0001185,
"subfield": {
"id": "https://openalex.org/subfields/2305",
"display_name": "Environmental Engineering"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10969",
"display_name": "Optimal Operation of Water Resources Systems",
"value": 0.0001147,
"subfield": {
"id": "https://openalex.org/subfields/2212",
"display_name": "Ocean Engineering"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T12724",
"display_name": "Integrated Management of Water, Energy, and Food Resources",
"value": 0.0001125,
"subfield": {
"id": "https://openalex.org/subfields/2312",
"display_name": "Water Science and Technology"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11634",
"display_name": "Assessment of Surface Water Quality",
"value": 8.83e-05,
"subfield": {
"id": "https://openalex.org/subfields/2312",
"display_name": "Water Science and Technology"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T13689",
"display_name": "Development and Management of Urban Underground Space",
"value": 8.3e-05,
"subfield": {
"id": "https://openalex.org/subfields/2215",
"display_name": "Building and Construction"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T12368",
"display_name": "Application of Grey System Theory in Forecasting",
"value": 7.78e-05,
"subfield": {
"id": "https://openalex.org/subfields/1803",
"display_name": "Management Science and Operations Research"
},
"field": {
"id": "https://openalex.org/fields/18",
"display_name": "Decision Sciences"
},
"domain": {
"id": "https://openalex.org/domains/2",
"display_name": "Social Sciences"
}
},
{
"id": "https://openalex.org/T14177",
"display_name": "Environmental Impact on Lake Baikal Ecosystem",
"value": 7.78e-05,
"subfield": {
"id": "https://openalex.org/subfields/2303",
"display_name": "Ecology"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T12083",
"display_name": "Karst Hydrogeology and Geohazards",
"value": 7.74e-05,
"subfield": {
"id": "https://openalex.org/subfields/1904",
"display_name": "Earth-Surface Processes"
},
"field": {
"id": "https://openalex.org/fields/19",
"display_name": "Earth and Planetary Sciences"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T14359",
"display_name": "Disaster Response Robotics and Environmental Management",
"value": 7.1e-05,
"subfield": {
"id": "https://openalex.org/subfields/2212",
"display_name": "Ocean Engineering"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10122",
"display_name": "Impact of Persistent Organic Pollutants on Environment and Health",
"value": 6.88e-05,
"subfield": {
"id": "https://openalex.org/subfields/2307",
"display_name": "Health, Toxicology and Mutagenesis"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10686",
"display_name": "Endocrine Disruption by Chemical Exposure",
"value": 6.73e-05,
"subfield": {
"id": "https://openalex.org/subfields/2307",
"display_name": "Health, Toxicology and Mutagenesis"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11624",
"display_name": "Application of Constructed Wetlands for Wastewater Treatment",
"value": 5.99e-05,
"subfield": {
"id": "https://openalex.org/subfields/2311",
"display_name": "Industrial and Manufacturing Engineering"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T12911",
"display_name": "Development and Application of Water Poverty Index",
"value": 5.59e-05,
"subfield": {
"id": "https://openalex.org/subfields/2312",
"display_name": "Water Science and Technology"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11619",
"display_name": "Challenges and Applications of Detonation Propulsion Technology",
"value": 5.5e-05,
"subfield": {
"id": "https://openalex.org/subfields/2202",
"display_name": "Aerospace Engineering"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10753",
"display_name": "Microplastic Pollution in Marine and Terrestrial Environments",
"value": 5.45e-05,
"subfield": {
"id": "https://openalex.org/subfields/2310",
"display_name": "Pollution"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10419",
"display_name": "Antibiotic Resistance in Aquatic Environments and Wastewater",
"value": 5.26e-05,
"subfield": {
"id": "https://openalex.org/subfields/2310",
"display_name": "Pollution"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
}
],
"x_concepts": [
{
"id": "https://openalex.org/C86803240",
"wikidata": "https://www.wikidata.org/wiki/Q420",
"display_name": "Biology",
"level": 0,
"score": 82.7
},
{
"id": "https://openalex.org/C127413603",
"wikidata": "https://www.wikidata.org/wiki/Q11023",
"display_name": "Engineering",
"level": 0,
"score": 82.1
},
{
"id": "https://openalex.org/C39432304",
"wikidata": "https://www.wikidata.org/wiki/Q188847",
"display_name": "Environmental science",
"level": 0,
"score": 79.6
},
{
"id": "https://openalex.org/C127313418",
"wikidata": "https://www.wikidata.org/wiki/Q1069",
"display_name": "Geology",
"level": 0,
"score": 71.4
},
{
"id": "https://openalex.org/C18903297",
"wikidata": "https://www.wikidata.org/wiki/Q7150",
"display_name": "Ecology",
"level": 1,
"score": 69.9
},
{
"id": "https://openalex.org/C205649164",
"wikidata": "https://www.wikidata.org/wiki/Q1071",
"display_name": "Geography",
"level": 0,
"score": 61.2
},
{
"id": "https://openalex.org/C41008148",
"wikidata": "https://www.wikidata.org/wiki/Q21198",
"display_name": "Computer science",
"level": 0,
"score": 51.5
},
{
"id": "https://openalex.org/C121332964",
"wikidata": "https://www.wikidata.org/wiki/Q413",
"display_name": "Physics",
"level": 0,
"score": 51.0
},
{
"id": "https://openalex.org/C185592680",
"wikidata": "https://www.wikidata.org/wiki/Q2329",
"display_name": "Chemistry",
"level": 0,
"score": 43.9
},
{
"id": "https://openalex.org/C187320778",
"wikidata": "https://www.wikidata.org/wiki/Q1349130",
"display_name": "Geotechnical engineering",
"level": 1,
"score": 38.3
},
{
"id": "https://openalex.org/C76886044",
"wikidata": "https://www.wikidata.org/wiki/Q2883300",
"display_name": "Hydrology (agriculture)",
"level": 2,
"score": 36.2
},
{
"id": "https://openalex.org/C95457728",
"wikidata": "https://www.wikidata.org/wiki/Q309",
"display_name": "History",
"level": 0,
"score": 34.7
},
{
"id": "https://openalex.org/C166957645",
"wikidata": "https://www.wikidata.org/wiki/Q23498",
"display_name": "Archaeology",
"level": 1,
"score": 34.7
},
{
"id": "https://openalex.org/C178790620",
"wikidata": "https://www.wikidata.org/wiki/Q11351",
"display_name": "Organic chemistry",
"level": 1,
"score": 34.7
},
{
"id": "https://openalex.org/C33923547",
"wikidata": "https://www.wikidata.org/wiki/Q395",
"display_name": "Mathematics",
"level": 0,
"score": 33.7
},
{
"id": "https://openalex.org/C151730666",
"wikidata": "https://www.wikidata.org/wiki/Q7205",
"display_name": "Paleontology",
"level": 1,
"score": 29.1
},
{
"id": "https://openalex.org/C62520636",
"wikidata": "https://www.wikidata.org/wiki/Q944",
"display_name": "Quantum mechanics",
"level": 1,
"score": 28.6
},
{
"id": "https://openalex.org/C105795698",
"wikidata": "https://www.wikidata.org/wiki/Q12483",
"display_name": "Statistics",
"level": 1,
"score": 25.5
},
{
"id": "https://openalex.org/C119857082",
"wikidata": "https://www.wikidata.org/wiki/Q2539",
"display_name": "Machine learning",
"level": 1,
"score": 24.0
},
{
"id": "https://openalex.org/C162324750",
"wikidata": "https://www.wikidata.org/wiki/Q8134",
"display_name": "Economics",
"level": 0,
"score": 23.5
},
{
"id": "https://openalex.org/C58640448",
"wikidata": "https://www.wikidata.org/wiki/Q42515",
"display_name": "Cartography",
"level": 1,
"score": 23.0
},
{
"id": "https://openalex.org/C111368507",
"wikidata": "https://www.wikidata.org/wiki/Q43518",
"display_name": "Oceanography",
"level": 1,
"score": 21.9
},
{
"id": "https://openalex.org/C31972630",
"wikidata": "https://www.wikidata.org/wiki/Q844240",
"display_name": "Computer vision",
"level": 1,
"score": 20.9
},
{
"id": "https://openalex.org/C87717796",
"wikidata": "https://www.wikidata.org/wiki/Q146326",
"display_name": "Environmental engineering",
"level": 1,
"score": 20.4
},
{
"id": "https://openalex.org/C114793014",
"wikidata": "https://www.wikidata.org/wiki/Q52109",
"display_name": "Geomorphology",
"level": 1,
"score": 20.4
}
],
"counts_by_year": [
{
"year": 2024,
"works_count": 8,
"cited_by_count": 1160
},
{
"year": 2023,
"works_count": 17,
"cited_by_count": 1490
},
{
"year": 2022,
"works_count": 19,
"cited_by_count": 1384
},
{
"year": 2021,
"works_count": 19,
"cited_by_count": 939
},
{
"year": 2020,
"works_count": 20,
"cited_by_count": 607
},
{
"year": 2019,
"works_count": 15,
"cited_by_count": 457
},
{
"year": 2018,
"works_count": 26,
"cited_by_count": 266
},
{
"year": 2017,
"works_count": 9,
"cited_by_count": 140
},
{
"year": 2016,
"works_count": 11,
"cited_by_count": 134
},
{
"year": 2015,
"works_count": 14,
"cited_by_count": 91
},
{
"year": 2014,
"works_count": 6,
"cited_by_count": 56
},
{
"year": 2013,
"works_count": 1,
"cited_by_count": 18
},
{
"year": 2012,
"works_count": 6,
"cited_by_count": 19
}
],
"works_api_url": "https://api.openalex.org/works?filter=author.id:A5046127749",
"updated_date": "2024-08-19T08:45:08.624026",
"created_date": "2023-07-21",
"_id": "https://openalex.org/A5046127749"
},
"ORCID": {
"@context": "http://schema.org",
"@type": "Person",
"@id": "https://orcid.org/0000-0001-8442-182X",
"mainEntityOfPage": "https://orcid.org/0000-0001-8442-182X",
"givenName": "Yi",
"familyName": "Zheng",
"alumniOf": [
{
"@type": "Organization",
"name": "Peking University",
"alternateName": "Department of Urban and Environmental Sciences",
"identifier": {
"@type": "PropertyValue",
"propertyID": "RINGGOLD",
"value": "12465"
}
},
{
"@type": "Organization",
"name": "University of California Santa Barbara",
"alternateName": "Bren School of Environmental Science and Management",
"identifier": {
"@type": "PropertyValue",
"propertyID": "RINGGOLD",
"value": "8786"
}
}
],
"affiliation": {
"@type": "Organization",
"name": "Peking University",
"alternateName": "College of Engineering",
"identifier": {
"@type": "PropertyValue",
"propertyID": "RINGGOLD",
"value": "12465"
}
},
"@reverse": {
"creator": [
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2023wr035876",
"name": "Deciphering the Mechanism of Better Predictions of Regional LSTM Models in Ungauged Basins",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2023wr035876"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2023wr036170",
"name": "Distributed Hydrological Modeling With Physics\u2010Encoded Deep Learning: A General Framework and Its Application in the Amazon",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2023wr036170"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1038/s41586-024-07020-z",
"name": "Fertilizer management for global ammonia emission reduction",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1038/s41586-024-07020-z"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2022wr033943",
"name": "Groundwater Vulnerability in a Megacity Under Climate and Economic Changes: A Coupled Sociohydrological Analysis",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2022wr033943"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.agwat.2023.108500",
"name": "Simulating drip irrigation in large-scale and high-resolution ecohydrological models: From emitters to the basin",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.agwat.2023.108500"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2022wr033942",
"name": "Complex Effects of Tides on Coastal Groundwater Revealed by High\u2010Resolution Integrated Flow Modeling",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2022wr033942"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.jhydrol.2023.129806",
"name": "Deriving analytical expressions of the spatial information entropy index on riverine water quality dynamics",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.jhydrol.2023.129806"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2023gl103369",
"name": "Ecological Flow Management Identified as Leading Driver of Grassland Greening in the Gobi Desert Using Deep Learning",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2023gl103369"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2022wr033673",
"name": "Assimilating Low\u2010Cost High\u2010Frequency Sensor Data in Watershed Water Quality Modeling: A Bayesian Approach",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2022wr033673"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.jenvman.2022.116557",
"name": "Impact of climate change on coastal water quality and its interaction with pollution prevention efforts",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.jenvman.2022.116557"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2022wr031979",
"name": "Trends in River Total Suspended Sediments Driven by Dams and Soil Erosion: A Comparison Between the Yangtze and Mekong Rivers",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2022wr031979"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.chemosphere.2022.134632",
"name": "Road runoff as a significant nonpoint source of parabens and their metabolites in urban rivers",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.chemosphere.2022.134632"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1021/acs.est.2c02232",
"name": "Predicting Dynamic Riverine Nitrogen Export in Unmonitored Watersheds: Leveraging Insights of AI from Data-Rich Regions",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1021/acs.est.2c02232"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2022gl099022",
"name": "Continuous Loss of Global Lake Ice Across Two Centuries Revealed by Satellite Observations and Numerical Modeling",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2022gl099022"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1038/s43016-022-00513-y",
"name": "Policy-enabled stabilization of nitrous oxide emissions from livestock production in China over 1978\u20132017",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1038/s43016-022-00513-y"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1021/acs.est.1c08114",
"name": "Response to Comment on \u201cOxidative Stress, Endocrine Disturbance, and Immune Interference in Humans Showed Relationships to Serum Bisphenol Concentrations in a Dense Industrial Area\u201d",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1021/acs.est.1c08114"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1021/acsestwater.1c00235",
"name": "Comprehensive Optimization Framework for Low Impact Development Facility Layout Design with Cost\u2013Benefit Analysis: A Case Study in Shenzhen City, China",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1021/acsestwater.1c00235"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2021wr031352",
"name": "Evaluating Distributed Policies for Conjunctive Surface Water\u2010Groundwater Management in Large River Basins: Water Uses Versus Hydrological Impacts",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2021wr031352"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2021wr030185",
"name": "Uncovering Flooding Mechanisms Across the Contiguous United States Through Interpretive Deep Learning on Representative Catchments",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2021wr030185"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2020wr029121",
"name": "Automatic Quality Control of Crowdsourced Rainfall Data With Multiple Noises: A Machine Learning Approach",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2020wr029121"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2020wr029397",
"name": "Improving the Scientific Understanding of the Paradox of Irrigation Efficiency: An Integrated Modeling Approach to Assessing Basin\u2010Scale Irrigation Efficiency",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2020wr029397"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2021gl095614",
"name": "High\u2010Resolution Mapping of Ice Cover Changes in Over 33,000 Lakes Across the North Temperate Zone",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2021gl095614"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.jhazmat.2021.125047",
"name": "Improving urban drainage systems to mitigate PPCPs pollution in surface water: A watershed perspective",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.jhazmat.2021.125047"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.jclepro.2021.126335",
"name": "Role of Sponge City Development in China\u2019s battle against urban water pollution: Insights from a transjurisdictional water quality management study",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.jclepro.2021.126335"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1021/acs.est.0c07587",
"name": "Oxidative Stress, Endocrine Disturbance, and Immune Interference in Humans Showed Relationships to Serum Bisphenol Concentrations in a Dense Industrial Area",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1021/acs.est.0c07587"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.jhydrol.2020.125313",
"name": "Exploring spatial heterogeneity and temporal dynamics of human-hydrological interactions in large river basins with intensive agriculture: A tightly coupled, fully integrated modeling approach",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.jhydrol.2020.125313"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1002/essoar.10504725.1",
"name": "Automatic Quality Control of Crowdsourced Rainfall Data with Multiple Noises: A Machine Learning Approach",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1002/essoar.10504725.1"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.jhydrol.2020.125201",
"name": "The transborder flux of phosphorus in the Lancang-Mekong River Basin: Magnitude, patterns and impacts from the cascade hydropower dams in China",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.jhydrol.2020.125201"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.jhydrol.2020.125175",
"name": "A comprehensive study on spectral analysis and anomaly detection of river water quality dynamics with high time resolution measurements",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.jhydrol.2020.125175"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2019jd031972",
"name": "Evaluation of Different Roof Materials for the Mitigation of Urban Warming in a Subtropical Monsoon Climate",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2019jd031972"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2020gl088229",
"name": "Improving AI System Awareness of Geoscience Knowledge: Symbiotic Integration of Physical Approaches and Deep Learning",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2020gl088229"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.jclepro.2020.119967",
"name": "Balancing competing interests in the Mekong River Basin via the operation of cascade hydropower reservoirs in China: Insights from system modeling",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.jclepro.2020.119967"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1007/s10653-019-00406-3",
"name": "Assessing the interlinkage of green and blue water in an arid catchment in Northwest China",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1007/s10653-019-00406-3"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1007/s00477-019-01714-x",
"name": "Effects of agricultural activities on the temporal variations of streamflow: trends and long memory",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1007/s00477-019-01714-x"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.ecoenv.2019.04.083",
"name": "Occurrence, distribution, bioaccumulation, and ecological risk of bisphenol analogues, parabens and their metabolites in the Pearl River Estuary, South China",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.ecoenv.2019.04.083"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.agwat.2019.105697",
"name": "The nexus of water, ecosystems and agriculture in arid areas: A multiobjective optimization study on system efficiencies",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.agwat.2019.105697"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.agrformet.2019.03.022",
"name": "Northward shift of historical methane emission hotspots from the livestock sector in China and assessment of potential mitigation options",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.agrformet.2019.03.022"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.jconhyd.2019.04.007",
"name": "Quantifying colloid fate and transport through dense vegetation and soil systems using a particle-plugging tempered fractional-derivative model",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.jconhyd.2019.04.007"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.scitotenv.2019.03.324",
"name": "Nexus of water, energy and ecosystems in the upper Mekong River: A system analysis of phosphorus transport through cascade reservoirs",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.scitotenv.2019.03.324"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2018wr024480",
"name": "Advancing Opportunistic Sensing in Hydrology: A Novel Approach to Measuring Rainfall With Ordinary Surveillance Cameras",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2018wr024480"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.agrformet.2018.11.017",
"name": "A simple and objective method to partition evapotranspiration into transpiration and evaporation at eddy-covariance sites",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.agrformet.2018.11.017"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.rse.2018.12.007",
"name": "Monitoring and understanding the water transparency changes of fifty large lakes on the Yangtze Plain based on long-term MODIS observations",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.rse.2018.12.007"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.scitotenv.2018.09.315",
"name": "Photolysis of enrofloxacin, pefloxacin and sulfaquinoxaline in aqueous solution by UV/H2O2, UV/Fe(II), and UV/H2O2/Fe(II) and the toxicity of the final reaction solutions on zebrafish embryos",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.scitotenv.2018.09.315"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.jhydrol.2018.09.064",
"name": "A computer vision-based approach to fusing spatiotemporal data for hydrological modeling",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.jhydrol.2018.09.064"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.jenvman.2018.08.069",
"name": "A review on agro-industrial waste (AIW) derived adsorbents for water and wastewater treatment",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.jenvman.2018.08.069"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.isprsjprs.2018.08.020",
"name": "Exploring the potential of Rayleigh-corrected reflectance in coastal and inland water applications: A simple aerosol correction method and its merits",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.isprsjprs.2018.08.020"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/w10111529",
"name": "An Integrated Modeling Approach to Study the Surface Water-Groundwater Interactions and Influence of Temporal Damping Effects on the Hydrological Cycle in the Miho Catchment in South Korea",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/w10111529"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.envsoft.2018.08.011",
"name": "A comprehensive graphical modeling platform designed for integrated hydrological simulation",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.envsoft.2018.08.011"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1007/s11783-018-1081-4",
"name": "Inverse uncertainty characteristics of pollution source identification for river chemical spill incidents by stochastic analysis",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1007/s11783-018-1081-4"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2018wr023364",
"name": "The Nexus of Water, Ecosystems, and Agriculture in Endorheic River Basins: A System Analysis Based on Integrated Ecohydrological Modeling",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2018wr023364"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/w10081105",
"name": "Joint Operation of Surface Water and Groundwater Reservoirs to Address Water Conflicts in Arid Regions: An Integrated Modeling Study",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/w10081105"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2018jd028432",
"name": "Role of Groundwater in the Dryland Ecohydrological System: A Case Study of the Heihe River Basin",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2018jd028432"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.advwatres.2018.04.006",
"name": "Joint analysis of input and parametric uncertainties in watershed water quality modeling: A formal Bayesian approach",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.advwatres.2018.04.006"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.watres.2018.01.057",
"name": "Quantitative design of emergency monitoring network for river chemical spills based on discrete entropy theory",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.watres.2018.01.057"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.cej.2017.12.078",
"name": "Integrated aerobic granular sludge and membrane process for enabling municipal wastewater treatment and reuse water production",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.cej.2017.12.078"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.chemosphere.2017.11.125",
"name": "Immunotoxicity of bisphenol S and F are similar to that of bisphenol A during zebrafish early development",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.chemosphere.2017.11.125"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.jhydrol.2017.12.041",
"name": "An integrated hydrological modeling approach for detection and attribution of climatic and human impacts on coastal water resources",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.jhydrol.2017.12.041"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.biortech.2017.11.036",
"name": "Membrane fouling mechanism of biofilm-membrane bioreactor (BF-MBR): Pore blocking model and membrane cleaning",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.biortech.2017.11.036"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1002/2017jd027889",
"name": "Hydrological Cycle in the Heihe River Basin and Its Implication for Water Resource Management in Endorheic Basins",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1002/2017jd027889"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1088/1748-9326/aa8a33",
"name": "Influence of watershed topographic and socio-economic attributes on the climate sensitivity of global river water quality",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1088/1748-9326/aa8a33"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/w9090723",
"name": "Investigating Hydrochemical Groundwater Processes in an Inland Agricultural Area with Limited Data: A Clustering Approach",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/w9090723"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1002/2017gl074344",
"name": "What controls the partitioning between baseflow and mountain block recharge in the Qinghai-Tibet Plateau?",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1002/2017gl074344"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.ecolmodel.2017.04.017",
"name": "An integrated ecohydrological modeling approach to exploring the dynamic interaction between groundwater and phreatophytes",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.ecolmodel.2017.04.017"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1038/srep33245",
"name": "PAH contamination in Beijing\u2019s topsoil: A unique indicator of the megacity\u2019s evolving energy consumption and overall environmental quality",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1038/srep33245"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.envpol.2016.04.101",
"name": "Transport mechanisms of soil-bound mercury in the erosion process during rainfall-runoff events",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.envpol.2016.04.101"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.advwatres.2015.12.007",
"name": "Multiple-response Bayesian calibration of watershed water quality models with significant input and model structure errors",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.advwatres.2015.12.007"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.cageo.2015.09.019",
"name": "Development of a visualization tool for integrated surface water\u2013groundwater modeling",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.cageo.2015.09.019"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1007/s00477-015-1091-8",
"name": "Markov Chain Monte Carlo (MCMC) uncertainty analysis for watershed water quality modeling and management",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1007/s00477-015-1091-8"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.agwat.2015.08.022",
"name": "Optimizing conjunctive use of surface water and groundwater for irrigation to address human-nature water conflicts: A surrogate modeling approach",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.agwat.2015.08.022"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1002/2015wr016881",
"name": "Exploring scale-dependent ecohydrological responses in a large endorheic river basin through integrated surface water-groundwater modeling",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1002/2015wr016881"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1002/2014wr016653",
"name": "Optimizing water resources management in large river basins with integrated surface water\u2010groundwater modeling: A surrogate\u2010based approach",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1002/2014wr016653"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.envpol.2014.09.011",
"name": "Evaluating potential non-point source loading of PAHs from contaminated soils: A fugacity-based modeling approach",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.envpol.2014.09.011"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.envsoft.2014.10.011",
"name": "Modeling surface water-groundwater interaction in arid and semi-arid regions with intensive agriculture",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.envsoft.2014.10.011"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1007/s11430-014-5033-y",
"name": "Numerical modeling of regional groundwater flow in the Heihe River Basin, China: Advances and new insights",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1007/s11430-014-5033-y"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1002/2014wr015366",
"name": "Systematic assessment of the uncertainty in integrated surface water-groundwater modeling based on the probabilistic collocation method",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1002/2014wr015366"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.scitotenv.2014.02.097",
"name": "Assessing the polycyclic aromatic hydrocarbon (PAH) pollution of urban stormwater runoff: A dynamic modeling approach",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.scitotenv.2014.02.097"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/b978-0-444-63249-4.00006-3",
"name": "Addressing the Uncertainty in Modeling Watershed Nonpoint Source Pollution",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/b978-0-444-63249-4.00006-3"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.envpol.2013.07.029",
"name": "Impact of carbonaceous materials in soil on the transport of soil-bound PAHs during rainfall-runoff events",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.envpol.2013.07.029"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1007/s10661-012-2769-8",
"name": "Assessing the value of information for water quality management: a watershed perspective from China",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1007/s10661-012-2769-8"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.envpol.2012.07.030",
"name": "Enrichment behavior and transport mechanism of soil-bound PAHs during rainfall-runoff events",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.envpol.2012.07.030"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.advwatres.2011.04.016",
"name": "Uncertainty assessment for watershed water quality modeling: A Probabilistic Collocation Method based approach",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.advwatres.2011.04.016"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1111/j.1752-1688.2008.00232.x",
"name": "Stochastic Watershed Water Quality Simulation for TMDL Development - A Case Study in the Newport Bay Watershed1",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1111/j.1752-1688.2008.00232.x"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2006wr005345",
"name": "Uncertainty assessment in watershed-scale water quality modeling and management: 1. Framework and application of generalized likelihood uncertainty estimation (GLUE) approach",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2006wr005345"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2006wr005346",
"name": "Uncertainty assessment in watershed-scale water quality modeling and management: 2. Management objectives constrained analysis of uncertainty (MOCAU)",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2006wr005346"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2005wr004539",
"name": "Understanding parameter sensitivity and its management implications in watershed-scale water quality modeling",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2005wr004539"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1111/j.1752-1688.2004.tb04455.x",
"name": "DETERMINING CRITICAL WATER QUALITY CONDITIONS FOR INORGANIC NITROGEN IN DRY, SEMI-URBANIZED WATERSHEDS",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1111/j.1752-1688.2004.tb04455.x"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1007/s00128-003-0148-4",
"name": "Kriging and PAH Pollution Assessment in the Topsoil of Tianjin Area",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1007/s00128-003-0148-4"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1081/pfc-120019899",
"name": "Medium Scale Spatial Structures of Polycyclic Aromatic Hydrocarbons in the Topsoil of Tianjin Area",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1081/pfc-120019899"
}
}
]
},
"identifier": {
"@type": "PropertyValue",
"propertyID": "Scopus Author ID",
"value": "56409084200"
}
}
}
