Item talk:Q238983
From geokb
{
"USGS Publications Warehouse": {
"@context": "https://schema.org",
"@type": "Article",
"additionalType": "Journal Article",
"name": "Predicting cyanobacterial abundance, microcystin, and geosmin in a eutrophic drinking-water reservoir using a 14-year dataset",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "USGS Publications Warehouse IndexID",
"value": "70181018",
"url": "https://pubs.usgs.gov/publication/70181018"
},
{
"@type": "PropertyValue",
"propertyID": "USGS Publications Warehouse Internal ID",
"value": 70181018
},
{
"@type": "PropertyValue",
"propertyID": "DOI",
"value": "10.1080/10402381.2016.1263694",
"url": "https://doi.org/10.1080/10402381.2016.1263694"
}
],
"journal": {
"@type": "Periodical",
"name": "Lake and Reservoir Management"
},
"inLanguage": "en",
"isPartOf": [
{
"@type": "CreativeWorkSeries",
"name": "Lake and Reservoir Management"
}
],
"datePublished": "2017",
"dateModified": "2017-02-11",
"abstract": "Cyanobacterial blooms degrade water quality in drinking water supply reservoirs by producing toxic and taste-and-odor causing secondary metabolites, which ultimately cause public health concerns and lead to increased treatment costs for water utilities. There have been numerous attempts to create models that predict cyanobacteria and their secondary metabolites, most using linear models; however, linear models are limited by assumptions about the data and have had limited success as predictive tools. Thus, lake and reservoir managers need improved modeling techniques that can accurately predict large bloom events that have the highest impact on recreational activities and drinking-water treatment processes. In this study, we compared 12 unique linear and nonlinear regression modeling techniques to predict cyanobacterial abundance and the cyanobacterial secondary metabolites microcystin and geosmin using 14\u00a0years of physiochemical water quality data collected from Cheney Reservoir, Kansas. Support vector machine (SVM), random forest (RF), boosted tree (BT), and Cubist modeling techniques were the most predictive of the compared modeling approaches. SVM, RF, and BT modeling techniques were able to successfully predict cyanobacterial abundance, microcystin, and geosmin concentrations <60,000 cells/mL, 2.5\u00a0\u00b5g/L, and 20\u00a0ng/L, respectively. Only Cubist modeling predicted maxima concentrations of cyanobacteria and geosmin; no modeling technique was able to predict maxima microcystin concentrations. Because maxima concentrations are a primary concern for lake and reservoir managers, Cubist modeling may help predict the largest and most noxious concentrations of cyanobacteria and their secondary metabolites.",
"description": "17 p.",
"publisher": {
"@type": "Organization",
"name": "Informa UK Limited"
},
"author": [
{
"@type": "Person",
"name": "Graham, Jennifer L. jlgraham@usgs.gov",
"givenName": "Jennifer L.",
"familyName": "Graham",
"email": "jlgraham@usgs.gov",
"identifier": {
"@type": "PropertyValue",
"propertyID": "ORCID",
"value": "0000-0002-6420-9335",
"url": "https://orcid.org/0000-0002-6420-9335"
},
"affiliation": [
{
"@type": "Organization",
"name": "Kansas Water Science Center",
"url": "https://www.usgs.gov/centers/kansas-water-science-center"
},
{
"@type": "Organization",
"name": "New York Water Science Center",
"url": "https://www.usgs.gov/centers/new-york-water-science-center"
}
]
},
{
"@type": "Person",
"name": "Harris, Ted D.",
"givenName": "Ted D.",
"familyName": "Harris"
}
],
"funder": [
{
"@type": "Organization",
"name": "Kansas Water Science Center",
"url": "https://www.usgs.gov/centers/kansas-water-science-center"
}
],
"spatialCoverage": [
{
"@type": "Place",
"additionalType": "country",
"name": "United States",
"url": "https://geonames.org/4074035"
},
{
"@type": "Place",
"additionalType": "state",
"name": "Kansas"
},
{
"@type": "Place",
"additionalType": "unknown",
"name": "Cheney Reservoir",
"url": "https://geonames.org/4269450"
},
{
"@type": "Place",
"geo": [
{
"@type": "GeoShape",
"additionalProperty": {
"@type": "PropertyValue",
"name": "GeoJSON",
"value": {
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"properties": {},
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-97.94174194335936,
37.666429212090605
],
[
-97.94174194335936,
37.845037026243425
],
[
-97.72270202636717,
37.845037026243425
],
[
-97.72270202636717,
37.666429212090605
],
[
-97.94174194335936,
37.666429212090605
]
]
]
}
}
]
}
}
},
{
"@type": "GeoCoordinates",
"latitude": 37.75573311916702,
"longitude": -97.83222198486327
}
]
}
]
},
"OpenAlex": {
"abstract_inverted_index": {
"Harris": [
0
],
"TD,": [
1
],
"Graham": [
2
],
"JL.": [
3
],
"2017.": [
4
],
"Predicting": [
5
],
"cyanobacterial": [
6,
136,
140,
193
],
"abundance,": [
7,
194
],
"microcystin,": [
8,
195
],
"and": [
9,
36,
47,
67,
85,
95,
117,
129,
138,
144,
169,
184,
196,
203,
215,
236,
246,
252
],
"geosmin": [
10,
145,
197
],
"in": [
11,
28
],
"a": [
12,
17,
231
],
"eutrophic": [
13
],
"drinking-water": [
14,
118
],
"reservoir": [
15,
96,
237
],
"using": [
16,
72,
146
],
"14-year": [
18
],
"dataset.": [
19
],
"Lake": [
20
],
"Reserve": [
21
],
"Manage.": [
22
],
"33:32-48.Cyanobacterial": [
23
],
"blooms": [
24
],
"degrade": [
25
],
"water": [
26,
30,
54,
151
],
"quality": [
27,
152
],
"drinking": [
29
],
"supply": [
31
],
"reservoirs": [
32
],
"by": [
33,
80
],
"producing": [
34
],
"toxic": [
35
],
"taste-and-odor": [
37
],
"causing": [
38
],
"secondary": [
39,
69,
141,
254
],
"metabolites,": [
40,
70
],
"which": [
41
],
"ultimately": [
42
],
"cause": [
43
],
"public": [
44
],
"health": [
45
],
"concerns": [
46
],
"lead": [
48
],
"to": [
49,
61,
134,
190,
222
],
"increased": [
50
],
"treatment": [
51,
119
],
"costs": [
52
],
"for": [
53,
234
],
"utilities.": [
55
],
"There": [
56
],
"have": [
57,
86,
110
],
"been": [
58
],
"numerous": [
59
],
"attempts": [
60
],
"create": [
62
],
"models": [
63,
77
],
"that": [
64,
102,
109
],
"predict": [
65,
105,
135,
192,
223,
243
],
"cyanobacteria": [
66,
214,
251
],
"their": [
68,
253
],
"most": [
71,
175,
247
],
"linear": [
73,
76,
128
],
"models;": [
74
],
"however,": [
75
],
"are": [
78,
230
],
"limited": [
79,
88
],
"assumptions": [
81
],
"about": [
82
],
"the": [
83,
111,
139,
174,
178,
244
],
"data": [
84,
153
],
"had": [
87
],
"success": [
89
],
"as": [
90
],
"predictive": [
91,
176
],
"tools.": [
92
],
"Thus,": [
93
],
"lake": [
94,
235
],
"managers": [
97
],
"need": [
98
],
"improved": [
99
],
"modeling": [
100,
132,
171,
180,
186,
209,
218,
240
],
"techniques": [
101,
133,
172,
187
],
"can": [
103
],
"accurately": [
104
],
"large": [
106
],
"bloom": [
107
],
"events": [
108
],
"highest": [
112
],
"impact": [
113
],
"on": [
114
],
"recreational": [
115
],
"activities": [
116
],
"processes.": [
120
],
"In": [
121
],
"this": [
122
],
"study,": [
123
],
"we": [
124
],
"compared": [
125,
179
],
"12": [
126
],
"unique": [
127
],
"nonlinear": [
130
],
"regression": [
131
],
"abundance": [
137
],
"metabolites": [
142
],
"microcystin": [
143,
225
],
"14": [
147
],
"years": [
148
],
"of": [
149,
177,
213,
250
],
"physiochemical": [
150
],
"collected": [
154
],
"from": [
155
],
"Cheney": [
156
],
"Reservoir,": [
157
],
"Kansas.": [
158
],
"Support": [
159
],
"vector": [
160
],
"machine": [
161
],
"(SVM),": [
162
],
"random": [
163
],
"forest": [
164
],
"(RF),": [
165
],
"boosted": [
166
],
"tree": [
167
],
"(BT),": [
168
],
"Cubist": [
170,
208,
239
],
"were": [
173,
188
],
"approaches.": [
181
],
"SVM,": [
182
],
"RF,": [
183
],
"BT": [
185
],
"able": [
189,
221
],
"successfully": [
191
],
"concentrations": [
198,
212,
229,
249
],
"<60,000": [
199
],
"cells/mL,": [
200
],
"2.5": [
201
],
"\u00b5g/L,": [
202
],
"20": [
204
],
"ng/L,": [
205
],
"respectively.": [
206
],
"Only": [
207
],
"predicted": [
210
],
"maxima": [
211,
224,
228
],
"geosmin;": [
216
],
"no": [
217
],
"technique": [
219
],
"was": [
220
],
"concentrations.": [
226
],
"Because": [
227
],
"primary": [
232
],
"concern": [
233
],
"managers,": [
238
],
"may": [
241
],
"help": [
242
],
"largest": [
245
],
"noxious": [
248
],
"metabolites.": [
255
]
},
"apc_list": null,
"apc_paid": null,
"authorships": [
{
"author_position": "first",
"author": {
"id": "https://openalex.org/A5011156971",
"display_name": "Ted D. Harris",
"orcid": "https://orcid.org/0000-0003-0944-8007"
},
"institutions": [
{
"id": "https://openalex.org/I146416000",
"display_name": "University of Kansas",
"ror": "https://ror.org/001tmjg57",
"country_code": "US",
"type": "education",
"lineage": [
"https://openalex.org/I146416000"
]
}
],
"countries": [
"US"
],
"is_corresponding": true,
"raw_author_name": "Ted D. Harris",
"raw_affiliation_strings": [
"Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS"
],
"affiliations": [
{
"raw_affiliation_string": "Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS",
"institution_ids": [
"https://openalex.org/I146416000"
]
}
]
},
{
"author_position": "last",
"author": {
"id": "https://openalex.org/A5025464681",
"display_name": "Jennifer L. Graham",
"orcid": "https://orcid.org/0000-0002-6420-9335"
},
"institutions": [
{
"id": "https://openalex.org/I1286329397",
"display_name": "United States Geological Survey",
"ror": "https://ror.org/035a68863",
"country_code": "US",
"type": "government",
"lineage": [
"https://openalex.org/I1286329397",
"https://openalex.org/I1335927249"
]
}
],
"countries": [
"US"
],
"is_corresponding": false,
"raw_author_name": "Jennifer L. Graham",
"raw_affiliation_strings": [
"US Geological Survey, Lawrence, KS"
],
"affiliations": [
{
"raw_affiliation_string": "US Geological Survey, Lawrence, KS",
"institution_ids": [
"https://openalex.org/I1286329397"
]
}
]
}
],
"best_oa_location": null,
"biblio": {
"volume": "33",
"issue": "1",
"first_page": "32",
"last_page": "48"
},
"cited_by_api_url": "https://api.openalex.org/works?filter=cites:W2570626411",
"cited_by_count": 59,
"cited_by_percentile_year": {
"min": 97,
"max": 98
},
"concepts": [
{
"id": "https://openalex.org/c2781226839",
"wikidata": "https://www.wikidata.org/wiki/Q424720",
"display_name": "Microcystin",
"level": 4,
"score": 0.89462626,
"qid": null
},
{
"id": "https://openalex.org/c2777358917",
"wikidata": "https://www.wikidata.org/wiki/Q420233",
"display_name": "Geosmin",
"level": 3,
"score": 0.8916371,
"qid": null
},
{
"id": "https://openalex.org/c186699998",
"wikidata": "https://www.wikidata.org/wiki/Q156698",
"display_name": "Eutrophication",
"level": 3,
"score": 0.731448,
"qid": "Q159131"
},
{
"id": "https://openalex.org/c39432304",
"wikidata": "https://www.wikidata.org/wiki/Q188847",
"display_name": "Environmental science",
"level": 0,
"score": 0.6380661,
"qid": "Q166085"
},
{
"id": "https://openalex.org/c120305227",
"wikidata": "https://www.wikidata.org/wiki/Q326139",
"display_name": "Algal bloom",
"level": 4,
"score": 0.612462,
"qid": null
},
{
"id": "https://openalex.org/c2780797713",
"wikidata": "https://www.wikidata.org/wiki/Q625376",
"display_name": "Water quality",
"level": 2,
"score": 0.598897,
"qid": "Q159335"
},
{
"id": "https://openalex.org/c77077793",
"wikidata": "https://www.wikidata.org/wiki/Q336019",
"display_name": "Abundance (ecology)",
"level": 2,
"score": 0.5243697,
"qid": null
},
{
"id": "https://openalex.org/c2779669040",
"wikidata": "https://www.wikidata.org/wiki/Q93315",
"display_name": "Cyanobacteria",
"level": 3,
"score": 0.49210805,
"qid": null
},
{
"id": "https://openalex.org/c12267149",
"wikidata": "https://www.wikidata.org/wiki/Q282453",
"display_name": "Support vector machine",
"level": 2,
"score": 0.46623063,
"qid": null
},
{
"id": "https://openalex.org/c2776056151",
"wikidata": "https://www.wikidata.org/wiki/Q309928",
"display_name": "Microcystis",
"level": 4,
"score": 0.42641956,
"qid": null
},
{
"id": "https://openalex.org/c18903297",
"wikidata": "https://www.wikidata.org/wiki/Q7150",
"display_name": "Ecology",
"level": 1,
"score": 0.32395005,
"qid": "Q158972"
},
{
"id": "https://openalex.org/c2780892065",
"wikidata": "https://www.wikidata.org/wiki/Q184755",
"display_name": "Phytoplankton",
"level": 3,
"score": 0.22117159,
"qid": "Q159371"
},
{
"id": "https://openalex.org/c2778916471",
"wikidata": "https://www.wikidata.org/wiki/Q485537",
"display_name": "Odor",
"level": 2,
"score": 0.21068919,
"qid": null
},
{
"id": "https://openalex.org/c119857082",
"wikidata": "https://www.wikidata.org/wiki/Q2539",
"display_name": "Machine learning",
"level": 1,
"score": 0.19338381,
"qid": "Q169132"
},
{
"id": "https://openalex.org/c86803240",
"wikidata": "https://www.wikidata.org/wiki/Q420",
"display_name": "Biology",
"level": 0,
"score": 0.19319063,
"qid": "Q158998"
},
{
"id": "https://openalex.org/c41008148",
"wikidata": "https://www.wikidata.org/wiki/Q21198",
"display_name": "Computer science",
"level": 0,
"score": 0.1493321,
"qid": "Q158969"
},
{
"id": "https://openalex.org/c142796444",
"wikidata": "https://www.wikidata.org/wiki/Q181394",
"display_name": "Nutrient",
"level": 2,
"score": 0.12405321,
"qid": null
},
{
"id": "https://openalex.org/c54355233",
"wikidata": "https://www.wikidata.org/wiki/Q7162",
"display_name": "Genetics",
"level": 1,
"score": 0.0,
"qid": "Q158979"
},
{
"id": "https://openalex.org/c169760540",
"wikidata": "https://www.wikidata.org/wiki/Q207011",
"display_name": "Neuroscience",
"level": 1,
"score": 0.0,
"qid": "Q166291"
},
{
"id": "https://openalex.org/c523546767",
"wikidata": "https://www.wikidata.org/wiki/Q10876",
"display_name": "Bacteria",
"level": 2,
"score": 0.0,
"qid": "Q159066"
}
],
"corresponding_author_ids": [
"https://openalex.org/A5011156971"
],
"corresponding_institution_ids": [
"https://openalex.org/I146416000"
],
"countries_distinct_count": 1,
"counts_by_year": [
{
"year": 2024,
"cited_by_count": 5
},
{
"year": 2023,
"cited_by_count": 16
},
{
"year": 2022,
"cited_by_count": 13
},
{
"year": 2021,
"cited_by_count": 11
},
{
"year": 2020,
"cited_by_count": 9
},
{
"year": 2019,
"cited_by_count": 4
},
{
"year": 2018,
"cited_by_count": 1
}
],
"created_date": "2017-01-13",
"datasets": [
"https://openalex.org/W4394116128"
],
"display_name": "Predicting cyanobacterial abundance, microcystin, and geosmin in a eutrophic drinking-water reservoir using a 14-year dataset",
"doi": "https://doi.org/10.1080/10402381.2016.1263694",
"fulltext_origin": "ngrams",
"fwci": 2.297,
"grants": [],
"has_fulltext": true,
"id": "https://openalex.org/W2570626411",
"ids": {
"openalex": "https://openalex.org/W2570626411",
"doi": "https://doi.org/10.1080/10402381.2016.1263694",
"mag": "2570626411"
},
"indexed_in": [
"crossref"
],
"institutions_distinct_count": 2,
"is_paratext": false,
"is_retracted": false,
"keywords": [
{
"id": "https://openalex.org/keywords/geosmin",
"display_name": "Geosmin",
"score": 0.8916371
},
{
"id": "https://openalex.org/keywords/water-quality",
"display_name": "Water Quality",
"score": 0.508757
},
{
"id": "https://openalex.org/keywords/microcystis",
"display_name": "Microcystis",
"score": 0.42641956
}
],
"language": "en",
"locations": [
{
"is_oa": false,
"landing_page_url": "https://doi.org/10.1080/10402381.2016.1263694",
"pdf_url": null,
"source": {
"id": "https://openalex.org/S199190827",
"display_name": "Lake and Reservoir Management",
"issn_l": "0743-8141",
"issn": [
"0743-8141"
],
"is_oa": false,
"is_in_doaj": false,
"is_core": true,
"host_organization": "https://openalex.org/P4310320547",
"host_organization_name": "Taylor & Francis",
"host_organization_lineage": [
"https://openalex.org/P4310320547"
],
"host_organization_lineage_names": [
"Taylor & Francis"
],
"type": "journal"
},
"license": null,
"license_id": null,
"version": null,
"is_accepted": false,
"is_published": false
}
],
"locations_count": 1,
"mesh": [],
"ngrams_url": "https://api.openalex.org/works/W2570626411/ngrams",
"open_access": {
"is_oa": false,
"oa_status": "closed",
"oa_url": null,
"any_repository_has_fulltext": false
},
"primary_location": {
"is_oa": false,
"landing_page_url": "https://doi.org/10.1080/10402381.2016.1263694",
"pdf_url": null,
"source": {
"id": "https://openalex.org/S199190827",
"display_name": "Lake and Reservoir Management",
"issn_l": "0743-8141",
"issn": [
"0743-8141"
],
"is_oa": false,
"is_in_doaj": false,
"is_core": true,
"host_organization": "https://openalex.org/P4310320547",
"host_organization_name": "Taylor & Francis",
"host_organization_lineage": [
"https://openalex.org/P4310320547"
],
"host_organization_lineage_names": [
"Taylor & Francis"
],
"type": "journal"
},
"license": null,
"license_id": null,
"version": null,
"is_accepted": false,
"is_published": false
},
"primary_topic": {
"id": "https://openalex.org/T10236",
"display_name": "Eutrophication and Harmful Algal Blooms",
"score": 0.9996,
"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"
}
},
"publication_date": "2017-01-02",
"publication_year": 2017,
"referenced_works": [
"https://openalex.org/W1490086354",
"https://openalex.org/W1506512487",
"https://openalex.org/W1540185726",
"https://openalex.org/W1564992943",
"https://openalex.org/W1565645420",
"https://openalex.org/W1582248076",
"https://openalex.org/W175712196",
"https://openalex.org/W1904140637",
"https://openalex.org/W1977168270",
"https://openalex.org/W1977327806",
"https://openalex.org/W1982695038",
"https://openalex.org/W2002904847",
"https://openalex.org/W2028254260",
"https://openalex.org/W2032364256",
"https://openalex.org/W2043593166",
"https://openalex.org/W2044972669",
"https://openalex.org/W2060920717",
"https://openalex.org/W2064506991",
"https://openalex.org/W2075784822",
"https://openalex.org/W2080101008",
"https://openalex.org/W2083740903",
"https://openalex.org/W2085148598",
"https://openalex.org/W2085422144",
"https://openalex.org/W2087802302",
"https://openalex.org/W2089719624",
"https://openalex.org/W2094564876",
"https://openalex.org/W2095827732",
"https://openalex.org/W2111280505",
"https://openalex.org/W2113162751",
"https://openalex.org/W2123716783",
"https://openalex.org/W2132408631",
"https://openalex.org/W2135838413",
"https://openalex.org/W2141601384",
"https://openalex.org/W2141878080",
"https://openalex.org/W2162758206",
"https://openalex.org/W2299362253",
"https://openalex.org/W2346326547",
"https://openalex.org/W2356670324",
"https://openalex.org/W2395602656",
"https://openalex.org/W2507672515",
"https://openalex.org/W2515865775",
"https://openalex.org/W2592116174",
"https://openalex.org/W4230059971",
"https://openalex.org/W429766147"
],
"referenced_works_count": 44,
"related_works": [
"https://openalex.org/W4385267947",
"https://openalex.org/W3162254187",
"https://openalex.org/W2078958936",
"https://openalex.org/W2073556641",
"https://openalex.org/W2067597777",
"https://openalex.org/W2062600589",
"https://openalex.org/W2033579619",
"https://openalex.org/W1994717423",
"https://openalex.org/W1964019338",
"https://openalex.org/W1832456971"
],
"sustainable_development_goals": [
{
"id": "https://metadata.un.org/sdg/6",
"score": 0.84,
"display_name": "Clean water and sanitation"
}
],
"title": "Predicting cyanobacterial abundance, microcystin, and geosmin in a eutrophic drinking-water reservoir using a 14-year dataset",
"topics": [
{
"id": "https://openalex.org/T10236",
"display_name": "Eutrophication and Harmful Algal Blooms",
"score": 0.9996,
"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/T11634",
"display_name": "Assessment of Surface Water Quality",
"score": 0.9857,
"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/T11311",
"display_name": "Biogeochemical Cycling of Nutrients in Aquatic Ecosystems",
"score": 0.9614,
"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"
}
}
],
"type": "article",
"type_crossref": "journal-article",
"updated_date": "2024-08-09T18:59:25.221281",
"versions": [],
"qid": null
}
}
