Estimating Nonpoint Source Pollution in the Upper Yangtze River Using the Export Coefficient Model, Remote Sensing, and Geographical Information System
Recently, increasing nutrient (i.e., nitrogen and phosphorus) concentrations have been observed in the surface water of many countries and this nonpoint source (NPS) pollution has become an important factor in the deterioration of water quality in the upper reach of the Yangtze River Basin. In this...
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| Veröffentlicht in: | Journal of hydraulic engineering (New York, N.Y.) N.Y.), 2009, Vol.135 (9), p.698-704 |
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| container_title | Journal of hydraulic engineering (New York, N.Y.) |
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| creator | Liu, Rui-min Yang, Zhi-feng Shen, Zhen-yao Yu, Shaw L Ding, Xiao-wen Wu, Xing Liu, Fang |
| description | Recently, increasing nutrient (i.e., nitrogen and phosphorus) concentrations have been observed in the surface water of many countries and this nonpoint source (NPS) pollution has become an important factor in the deterioration of water quality in the upper reach of the Yangtze River Basin. In this paper, the NPS pollution loads in the upper reach of Yangtze River Basin in the year 2000 were estimated using export coefficient model and remote sensing techniques. The spatial distributions of the NPS loads within the watershed were then displayed using geographical information system. Results indicated that the total nitrogen load was
1.947×
106
t
and the total phosphorus load was
8.364×
104
t
. Important source areas for the nutrients were croplands in the Jinsha R. and Jialing R. watershed, as well as the Chongqing municipality. |
| doi_str_mv | 10.1061/(ASCE)0733-9429(2009)135:9(698) |
| format | Article |
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1.947×
106
t
and the total phosphorus load was
8.364×
104
t
. Important source areas for the nutrients were croplands in the Jinsha R. and Jialing R. watershed, as well as the Chongqing municipality.</description><identifier>ISSN: 0733-9429</identifier><identifier>EISSN: 1943-7900</identifier><identifier>DOI: 10.1061/(ASCE)0733-9429(2009)135:9(698)</identifier><language>eng</language><publisher>American Society of Civil Engineers</publisher><subject>China ; Coefficients ; Deterioration ; Estimating ; Exports ; Freshwater ; Geographic information systems ; Geographical information systems ; Hydraulic engineering ; International trade ; Mathematical models ; Municipalities ; Nonpoint pollution ; Nonpoint sources ; Nutrients ; Phosphorus ; Pollution abatement ; Remote sensing ; River basins ; Rivers ; Satellite navigation systems ; Spatial distribution ; Surface water ; TECHNICAL PAPERS ; Water pollution ; Water quality ; Watersheds</subject><ispartof>Journal of hydraulic engineering (New York, N.Y.), 2009, Vol.135 (9), p.698-704</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a416t-1353dfc2f06404dab368130aa21e20672c2c8b0d2acd1a9c7441094406b647683</citedby><cites>FETCH-LOGICAL-a416t-1353dfc2f06404dab368130aa21e20672c2c8b0d2acd1a9c7441094406b647683</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://ascelibrary.org/doi/pdf/10.1061/(ASCE)0733-9429(2009)135:9(698)$$EPDF$$P50$$Gasce$$H</linktopdf><linktohtml>$$Uhttp://ascelibrary.org/doi/abs/10.1061/(ASCE)0733-9429(2009)135:9(698)$$EHTML$$P50$$Gasce$$H</linktohtml><link.rule.ids>314,776,780,4009,27902,27903,27904,75940,75948</link.rule.ids></links><search><creatorcontrib>Liu, Rui-min</creatorcontrib><creatorcontrib>Yang, Zhi-feng</creatorcontrib><creatorcontrib>Shen, Zhen-yao</creatorcontrib><creatorcontrib>Yu, Shaw L</creatorcontrib><creatorcontrib>Ding, Xiao-wen</creatorcontrib><creatorcontrib>Wu, Xing</creatorcontrib><creatorcontrib>Liu, Fang</creatorcontrib><title>Estimating Nonpoint Source Pollution in the Upper Yangtze River Using the Export Coefficient Model, Remote Sensing, and Geographical Information System</title><title>Journal of hydraulic engineering (New York, N.Y.)</title><description>Recently, increasing nutrient (i.e., nitrogen and phosphorus) concentrations have been observed in the surface water of many countries and this nonpoint source (NPS) pollution has become an important factor in the deterioration of water quality in the upper reach of the Yangtze River Basin. In this paper, the NPS pollution loads in the upper reach of Yangtze River Basin in the year 2000 were estimated using export coefficient model and remote sensing techniques. The spatial distributions of the NPS loads within the watershed were then displayed using geographical information system. Results indicated that the total nitrogen load was
1.947×
106
t
and the total phosphorus load was
8.364×
104
t
. Important source areas for the nutrients were croplands in the Jinsha R. and Jialing R. watershed, as well as the Chongqing municipality.</description><subject>China</subject><subject>Coefficients</subject><subject>Deterioration</subject><subject>Estimating</subject><subject>Exports</subject><subject>Freshwater</subject><subject>Geographic information systems</subject><subject>Geographical information systems</subject><subject>Hydraulic engineering</subject><subject>International trade</subject><subject>Mathematical models</subject><subject>Municipalities</subject><subject>Nonpoint pollution</subject><subject>Nonpoint sources</subject><subject>Nutrients</subject><subject>Phosphorus</subject><subject>Pollution abatement</subject><subject>Remote sensing</subject><subject>River basins</subject><subject>Rivers</subject><subject>Satellite navigation systems</subject><subject>Spatial distribution</subject><subject>Surface water</subject><subject>TECHNICAL PAPERS</subject><subject>Water pollution</subject><subject>Water quality</subject><subject>Watersheds</subject><issn>0733-9429</issn><issn>1943-7900</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNqFkctuEzEUhi0EEqHwDl5BInXg-NLxuAukKgqlUrmoIQtWluPxpK4m9mA7iPIivC62grosK8vyd_5zjj-E3hB4S6Al7-YX6-VqAYKxRnIq5xRALgg7O5fzVnaLJ2hGJGeNkABP0eyBe45epHQHQHihZujPKmW319n5Hf4c_BScz3gdDtFY_DWM4yG74LHzON9avJkmG_F37Xf5t8U37me5bVItra-rX1OIGS-DHQZnnC1Bn0Jvx1N8Y_chW7y2vsKnWPseX9qwi3q6dUaP-MoPIdYpSq_1fcp2_xI9G_SY7Kt_5wnafFh9W35srr9cXi0vrhvNSZubsi_rB0MHaDnwXm9Z2xEGWlNiKbSCGmq6LfRUm55oaQTnBCTn0G5bLtqOnaDXx9wphh8Hm7Lau2TsOGpvwyEpxjvKiYT_ghQ6VhJFAeePgkQIQc7K3Kyg74-oiSGlaAc1xSIj3isCqkpWqkpWVZ6q8lSVrMrSSqqirwScHwN06aDuijZfPuuh-vHivy89rdw</recordid><startdate>2009</startdate><enddate>2009</enddate><creator>Liu, Rui-min</creator><creator>Yang, Zhi-feng</creator><creator>Shen, Zhen-yao</creator><creator>Yu, Shaw L</creator><creator>Ding, Xiao-wen</creator><creator>Wu, Xing</creator><creator>Liu, Fang</creator><general>American Society of Civil Engineers</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SU</scope><scope>7TB</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope><scope>7QH</scope><scope>7TV</scope><scope>7UA</scope><scope>F1W</scope><scope>H96</scope><scope>H97</scope><scope>L.G</scope></search><sort><creationdate>2009</creationdate><title>Estimating Nonpoint Source Pollution in the Upper Yangtze River Using the Export Coefficient Model, Remote Sensing, and Geographical Information System</title><author>Liu, Rui-min ; Yang, Zhi-feng ; Shen, Zhen-yao ; Yu, Shaw L ; Ding, Xiao-wen ; Wu, Xing ; Liu, Fang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a416t-1353dfc2f06404dab368130aa21e20672c2c8b0d2acd1a9c7441094406b647683</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>China</topic><topic>Coefficients</topic><topic>Deterioration</topic><topic>Estimating</topic><topic>Exports</topic><topic>Freshwater</topic><topic>Geographic information systems</topic><topic>Geographical information systems</topic><topic>Hydraulic engineering</topic><topic>International trade</topic><topic>Mathematical models</topic><topic>Municipalities</topic><topic>Nonpoint pollution</topic><topic>Nonpoint sources</topic><topic>Nutrients</topic><topic>Phosphorus</topic><topic>Pollution abatement</topic><topic>Remote sensing</topic><topic>River basins</topic><topic>Rivers</topic><topic>Satellite navigation systems</topic><topic>Spatial distribution</topic><topic>Surface water</topic><topic>TECHNICAL PAPERS</topic><topic>Water pollution</topic><topic>Water quality</topic><topic>Watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Rui-min</creatorcontrib><creatorcontrib>Yang, Zhi-feng</creatorcontrib><creatorcontrib>Shen, Zhen-yao</creatorcontrib><creatorcontrib>Yu, Shaw L</creatorcontrib><creatorcontrib>Ding, Xiao-wen</creatorcontrib><creatorcontrib>Wu, Xing</creatorcontrib><creatorcontrib>Liu, Fang</creatorcontrib><collection>CrossRef</collection><collection>Environmental Engineering Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Aqualine</collection><collection>Pollution Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Journal of hydraulic engineering (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Rui-min</au><au>Yang, Zhi-feng</au><au>Shen, Zhen-yao</au><au>Yu, Shaw L</au><au>Ding, Xiao-wen</au><au>Wu, Xing</au><au>Liu, Fang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimating Nonpoint Source Pollution in the Upper Yangtze River Using the Export Coefficient Model, Remote Sensing, and Geographical Information System</atitle><jtitle>Journal of hydraulic engineering (New York, N.Y.)</jtitle><date>2009</date><risdate>2009</risdate><volume>135</volume><issue>9</issue><spage>698</spage><epage>704</epage><pages>698-704</pages><issn>0733-9429</issn><eissn>1943-7900</eissn><abstract>Recently, increasing nutrient (i.e., nitrogen and phosphorus) concentrations have been observed in the surface water of many countries and this nonpoint source (NPS) pollution has become an important factor in the deterioration of water quality in the upper reach of the Yangtze River Basin. In this paper, the NPS pollution loads in the upper reach of Yangtze River Basin in the year 2000 were estimated using export coefficient model and remote sensing techniques. The spatial distributions of the NPS loads within the watershed were then displayed using geographical information system. Results indicated that the total nitrogen load was
1.947×
106
t
and the total phosphorus load was
8.364×
104
t
. Important source areas for the nutrients were croplands in the Jinsha R. and Jialing R. watershed, as well as the Chongqing municipality.</abstract><pub>American Society of Civil Engineers</pub><doi>10.1061/(ASCE)0733-9429(2009)135:9(698)</doi><tpages>7</tpages></addata></record> |
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| source | American Society of Civil Engineers:NESLI2:Journals:2014 |
| subjects | China Coefficients Deterioration Estimating Exports Freshwater Geographic information systems Geographical information systems Hydraulic engineering International trade Mathematical models Municipalities Nonpoint pollution Nonpoint sources Nutrients Phosphorus Pollution abatement Remote sensing River basins Rivers Satellite navigation systems Spatial distribution Surface water TECHNICAL PAPERS Water pollution Water quality Watersheds |
| title | Estimating Nonpoint Source Pollution in the Upper Yangtze River Using the Export Coefficient Model, Remote Sensing, and Geographical Information System |
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