The impact of land use and socio-economic factors on ammonia nitrogen pollution in Weihe River watershed, China
Rapid socio-economic development has led to a significant deterioration in the water environment, which has limited sustainable regional development. The soil and water assessment tool (SWAT) and statistical regression method were used to model the ammonia nitrogen (NH 4 + -N) pollution and explore...
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| Veröffentlicht in: | Environmental science and pollution research international 2021-04, Vol.28 (14), p.17659-17674 |
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| creator | Bi, Zhilei Zhang, Yan Shi, Peng Zhang, Xin Shan, Zexuan Ren, Lijiang |
| description | Rapid socio-economic development has led to a significant deterioration in the water environment, which has limited sustainable regional development. The soil and water assessment tool (SWAT) and statistical regression method were used to model the ammonia nitrogen (NH
4
+
-N) pollution and explore the impacts of land use and socio-economic factors on NH
4
+
-N pollution within the Weihe River watershed in China from 2015 to 2018. The result of SWAT model revealed that the NH
4
+
-N concentrations were usually relatively high under low runoff conditions and relatively low under high runoff conditions. The average NH
4
+
-N concentration in the upper reaches was 0.77 mg/L, whereas it was 0.87 mg/L in the middle and lower reaches of the watershed. Serious NH
4
+
-N pollution mainly occurred in 2015 and 2016, and the V (2.0 mg/L) and V+ (>2.0 mg/L) water quality classes were associated with approximately 6.67% and 28.94% of the total watershed area, respectively. The multiple linear regression indicated that the building land and secondary industry were the significant controlling factors (
P
< 0.01). According to the scenario analysis, modelled scenarios for interception measures reduced the NH
4
+
-N load to a greater degree than scenarios for source control measures. To improve the surface water quality in the Weihe River, it is recommended to adjust industrial structure, increase sewage treatment, and strengthen the rural management of the watershed. |
| doi_str_mv | 10.1007/s11356-020-11960-0 |
| format | Article |
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4
+
-N) pollution and explore the impacts of land use and socio-economic factors on NH
4
+
-N pollution within the Weihe River watershed in China from 2015 to 2018. The result of SWAT model revealed that the NH
4
+
-N concentrations were usually relatively high under low runoff conditions and relatively low under high runoff conditions. The average NH
4
+
-N concentration in the upper reaches was 0.77 mg/L, whereas it was 0.87 mg/L in the middle and lower reaches of the watershed. Serious NH
4
+
-N pollution mainly occurred in 2015 and 2016, and the V (2.0 mg/L) and V+ (>2.0 mg/L) water quality classes were associated with approximately 6.67% and 28.94% of the total watershed area, respectively. The multiple linear regression indicated that the building land and secondary industry were the significant controlling factors (
P
< 0.01). According to the scenario analysis, modelled scenarios for interception measures reduced the NH
4
+
-N load to a greater degree than scenarios for source control measures. To improve the surface water quality in the Weihe River, it is recommended to adjust industrial structure, increase sewage treatment, and strengthen the rural management of the watershed.</description><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-020-11960-0</identifier><identifier>PMID: 33400117</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Ammonia ; Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; China ; Earth and Environmental Science ; Economic development ; Economic Factors ; Economics ; Ecotoxicology ; Environment ; Environmental Chemistry ; Environmental Health ; Environmental Monitoring ; Environmental science ; Hydrologic models ; Impact analysis ; Interception ; Land use ; Nitrogen ; Nitrogen - analysis ; Pollution ; Regional development ; Regional planning ; Regression analysis ; Research Article ; Rivers ; Runoff ; Sewage treatment ; Social factors ; Socioeconomic factors ; Socioeconomics ; Soil water ; Statistical analysis ; Surface water ; Sustainable development ; Waste Water Technology ; Wastewater treatment ; Water Management ; Water Pollutants, Chemical - analysis ; Water pollution ; Water Pollution Control ; Water quality ; Water quality control ; Watersheds</subject><ispartof>Environmental science and pollution research international, 2021-04, Vol.28 (14), p.17659-17674</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c428t-91a78971455e5e50582915c34c6921cac05abb6b37ab70a12f04498cacaeda853</citedby><cites>FETCH-LOGICAL-c428t-91a78971455e5e50582915c34c6921cac05abb6b37ab70a12f04498cacaeda853</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11356-020-11960-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11356-020-11960-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33400117$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bi, Zhilei</creatorcontrib><creatorcontrib>Zhang, Yan</creatorcontrib><creatorcontrib>Shi, Peng</creatorcontrib><creatorcontrib>Zhang, Xin</creatorcontrib><creatorcontrib>Shan, Zexuan</creatorcontrib><creatorcontrib>Ren, Lijiang</creatorcontrib><title>The impact of land use and socio-economic factors on ammonia nitrogen pollution in Weihe River watershed, China</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>Rapid socio-economic development has led to a significant deterioration in the water environment, which has limited sustainable regional development. The soil and water assessment tool (SWAT) and statistical regression method were used to model the ammonia nitrogen (NH
4
+
-N) pollution and explore the impacts of land use and socio-economic factors on NH
4
+
-N pollution within the Weihe River watershed in China from 2015 to 2018. The result of SWAT model revealed that the NH
4
+
-N concentrations were usually relatively high under low runoff conditions and relatively low under high runoff conditions. The average NH
4
+
-N concentration in the upper reaches was 0.77 mg/L, whereas it was 0.87 mg/L in the middle and lower reaches of the watershed. Serious NH
4
+
-N pollution mainly occurred in 2015 and 2016, and the V (2.0 mg/L) and V+ (>2.0 mg/L) water quality classes were associated with approximately 6.67% and 28.94% of the total watershed area, respectively. The multiple linear regression indicated that the building land and secondary industry were the significant controlling factors (
P
< 0.01). According to the scenario analysis, modelled scenarios for interception measures reduced the NH
4
+
-N load to a greater degree than scenarios for source control measures. To improve the surface water quality in the Weihe River, it is recommended to adjust industrial structure, increase sewage treatment, and strengthen the rural management of the watershed.</description><subject>Ammonia</subject><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>China</subject><subject>Earth and Environmental Science</subject><subject>Economic development</subject><subject>Economic Factors</subject><subject>Economics</subject><subject>Ecotoxicology</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Environmental Monitoring</subject><subject>Environmental science</subject><subject>Hydrologic models</subject><subject>Impact analysis</subject><subject>Interception</subject><subject>Land use</subject><subject>Nitrogen</subject><subject>Nitrogen - analysis</subject><subject>Pollution</subject><subject>Regional development</subject><subject>Regional planning</subject><subject>Regression analysis</subject><subject>Research Article</subject><subject>Rivers</subject><subject>Runoff</subject><subject>Sewage treatment</subject><subject>Social factors</subject><subject>Socioeconomic factors</subject><subject>Socioeconomics</subject><subject>Soil water</subject><subject>Statistical analysis</subject><subject>Surface water</subject><subject>Sustainable development</subject><subject>Waste Water Technology</subject><subject>Wastewater treatment</subject><subject>Water Management</subject><subject>Water Pollutants, Chemical - analysis</subject><subject>Water pollution</subject><subject>Water Pollution Control</subject><subject>Water quality</subject><subject>Water quality 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impact of land use and socio-economic factors on ammonia nitrogen pollution in Weihe River watershed, China</title><author>Bi, Zhilei ; Zhang, Yan ; Shi, Peng ; Zhang, Xin ; Shan, Zexuan ; Ren, Lijiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c428t-91a78971455e5e50582915c34c6921cac05abb6b37ab70a12f04498cacaeda853</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Ammonia</topic><topic>Aquatic Pollution</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>China</topic><topic>Earth and Environmental Science</topic><topic>Economic development</topic><topic>Economic Factors</topic><topic>Economics</topic><topic>Ecotoxicology</topic><topic>Environment</topic><topic>Environmental Chemistry</topic><topic>Environmental Health</topic><topic>Environmental Monitoring</topic><topic>Environmental science</topic><topic>Hydrologic 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Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bi, Zhilei</au><au>Zhang, Yan</au><au>Shi, Peng</au><au>Zhang, Xin</au><au>Shan, Zexuan</au><au>Ren, Lijiang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The impact of land use and socio-economic factors on ammonia nitrogen pollution in Weihe River watershed, China</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2021-04-01</date><risdate>2021</risdate><volume>28</volume><issue>14</issue><spage>17659</spage><epage>17674</epage><pages>17659-17674</pages><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>Rapid socio-economic development has led to a significant deterioration in the water environment, which has limited sustainable regional development. The soil and water assessment tool (SWAT) and statistical regression method were used to model the ammonia nitrogen (NH
4
+
-N) pollution and explore the impacts of land use and socio-economic factors on NH
4
+
-N pollution within the Weihe River watershed in China from 2015 to 2018. The result of SWAT model revealed that the NH
4
+
-N concentrations were usually relatively high under low runoff conditions and relatively low under high runoff conditions. The average NH
4
+
-N concentration in the upper reaches was 0.77 mg/L, whereas it was 0.87 mg/L in the middle and lower reaches of the watershed. Serious NH
4
+
-N pollution mainly occurred in 2015 and 2016, and the V (2.0 mg/L) and V+ (>2.0 mg/L) water quality classes were associated with approximately 6.67% and 28.94% of the total watershed area, respectively. The multiple linear regression indicated that the building land and secondary industry were the significant controlling factors (
P
< 0.01). According to the scenario analysis, modelled scenarios for interception measures reduced the NH
4
+
-N load to a greater degree than scenarios for source control measures. To improve the surface water quality in the Weihe River, it is recommended to adjust industrial structure, increase sewage treatment, and strengthen the rural management of the watershed.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>33400117</pmid><doi>10.1007/s11356-020-11960-0</doi><tpages>16</tpages></addata></record> |
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| subjects | Ammonia Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution China Earth and Environmental Science Economic development Economic Factors Economics Ecotoxicology Environment Environmental Chemistry Environmental Health Environmental Monitoring Environmental science Hydrologic models Impact analysis Interception Land use Nitrogen Nitrogen - analysis Pollution Regional development Regional planning Regression analysis Research Article Rivers Runoff Sewage treatment Social factors Socioeconomic factors Socioeconomics Soil water Statistical analysis Surface water Sustainable development Waste Water Technology Wastewater treatment Water Management Water Pollutants, Chemical - analysis Water pollution Water Pollution Control Water quality Water quality control Watersheds |
| title | The impact of land use and socio-economic factors on ammonia nitrogen pollution in Weihe River watershed, China |
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