Evaluation of non-point sources pollution impacts by integrated 3S information technologies and GWLF modelling
Assessing the potential of non-point source pollution to assist in the planning of Best Management Practice (BMP) is significant for improving pollution prevention and control in a river basin. In many cases, however, the grid-based modelling analysis is prohibitively laborious and hindered because...
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| Veröffentlicht in: | Water science and technology 2002-01, Vol.46 (6-7), p.217-224 |
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| creator | NING, S.-K JENG, K.-Y CHANG, N.-B |
| description | Assessing the potential of non-point source pollution to assist in the planning of Best Management Practice (BMP) is significant for improving pollution prevention and control in a river basin. In many cases, however, the grid-based modelling analysis is prohibitively laborious and hindered because of insufficient information. This paper presents a new and fast methodology for catchment land-use identification and waste load estimation by properly integrating the skills of remote sensing (RS), geographic information system (GIS), global positioning system (GPS), and the Generalized Watershed Loading Functions (GWLF) model. In this analysis, eight types of land-use patterns in the watershed area of the Kao-Ping River Basin were classified with the aid of SPOT satellite images, Erdas Imagine image processing system, and ArcView GIS system. Hydrologic and geographical features were obtained or derived by the Digital Elevation Model (DEM) and GIS technique simultaneously. The GWLF model was used to estimate the waste loads of non-point sources in terms of the total phosphorus (TP) and total nitrogen (TN). It shows that the variations of TN and TP loadings are closely related to the amount of rainfall over seasons. Final managerial policy can be made with respect to the identified three impact levels of nutrient loadings in the Kao-Ping River Basin, southern Taiwan, which could eventually perform as part of the Total Maximum Daily Load (TMDL) study in this region. |
| doi_str_mv | 10.2166/wst.2002.0682 |
| format | Article |
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In many cases, however, the grid-based modelling analysis is prohibitively laborious and hindered because of insufficient information. This paper presents a new and fast methodology for catchment land-use identification and waste load estimation by properly integrating the skills of remote sensing (RS), geographic information system (GIS), global positioning system (GPS), and the Generalized Watershed Loading Functions (GWLF) model. In this analysis, eight types of land-use patterns in the watershed area of the Kao-Ping River Basin were classified with the aid of SPOT satellite images, Erdas Imagine image processing system, and ArcView GIS system. Hydrologic and geographical features were obtained or derived by the Digital Elevation Model (DEM) and GIS technique simultaneously. The GWLF model was used to estimate the waste loads of non-point sources in terms of the total phosphorus (TP) and total nitrogen (TN). It shows that the variations of TN and TP loadings are closely related to the amount of rainfall over seasons. Final managerial policy can be made with respect to the identified three impact levels of nutrient loadings in the Kao-Ping River Basin, southern Taiwan, which could eventually perform as part of the Total Maximum Daily Load (TMDL) study in this region.</description><identifier>ISSN: 0273-1223</identifier><identifier>ISBN: 9781843394242</identifier><identifier>ISBN: 1843394243</identifier><identifier>EISSN: 1996-9732</identifier><identifier>DOI: 10.2166/wst.2002.0682</identifier><identifier>PMID: 12380994</identifier><identifier>CODEN: WSTED4</identifier><language>eng</language><publisher>London: IWA</publisher><subject>Best management practices ; Catchment area ; Digital Elevation Models ; Earth sciences ; Earth, ocean, space ; Ecosystem ; Engineering and environment geology. Geothermics ; Environmental impact ; Environmental Monitoring - methods ; Evaluation ; Exact sciences and technology ; Freshwater ; Geographic Information Systems ; Geographical information systems ; Global positioning systems ; GPS ; Hydrology ; Image processing ; Information systems ; Information technology ; Land use ; Mineral nutrients ; Modelling ; Models, Theoretical ; Nitrogen - analysis ; Nonpoint source pollution ; Nutrient loading ; Phosphorus ; Phosphorus - analysis ; Point source pollution ; Policies ; Pollution ; Pollution abatement ; Pollution prevention ; Pollution sources ; Pollution, environment geology ; Positioning systems ; Rain ; Rainfall ; Remote sensing ; River basins ; Rivers ; Satellite imagery ; Satellite navigation systems ; Satellites ; Seasons ; Spacecraft ; Taiwan ; Taiwan, Kao-Ping R ; Total maximum daily load ; Waste load ; Water Pollutants - analysis ; Water pollution ; Water Supply ; Watersheds</subject><ispartof>Water science and technology, 2002-01, Vol.46 (6-7), p.217-224</ispartof><rights>2002 INIST-CNRS</rights><rights>Copyright IWA Publishing Sep 2002</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c410t-b0570a25310430186e04b16965de4b8b8e1a02df231a8cf1425f0573be808c0d3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>309,310,314,777,781,786,787,27905,27906</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=14182550$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/12380994$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>NING, S.-K</creatorcontrib><creatorcontrib>JENG, K.-Y</creatorcontrib><creatorcontrib>CHANG, N.-B</creatorcontrib><title>Evaluation of non-point sources pollution impacts by integrated 3S information technologies and GWLF modelling</title><title>Water science and technology</title><addtitle>Water Sci Technol</addtitle><description>Assessing the potential of non-point source pollution to assist in the planning of Best Management Practice (BMP) is significant for improving pollution prevention and control in a river basin. In many cases, however, the grid-based modelling analysis is prohibitively laborious and hindered because of insufficient information. This paper presents a new and fast methodology for catchment land-use identification and waste load estimation by properly integrating the skills of remote sensing (RS), geographic information system (GIS), global positioning system (GPS), and the Generalized Watershed Loading Functions (GWLF) model. In this analysis, eight types of land-use patterns in the watershed area of the Kao-Ping River Basin were classified with the aid of SPOT satellite images, Erdas Imagine image processing system, and ArcView GIS system. Hydrologic and geographical features were obtained or derived by the Digital Elevation Model (DEM) and GIS technique simultaneously. The GWLF model was used to estimate the waste loads of non-point sources in terms of the total phosphorus (TP) and total nitrogen (TN). It shows that the variations of TN and TP loadings are closely related to the amount of rainfall over seasons. Final managerial policy can be made with respect to the identified three impact levels of nutrient loadings in the Kao-Ping River Basin, southern Taiwan, which could eventually perform as part of the Total Maximum Daily Load (TMDL) study in this region.</description><subject>Best management practices</subject><subject>Catchment area</subject><subject>Digital Elevation Models</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Ecosystem</subject><subject>Engineering and environment geology. Geothermics</subject><subject>Environmental impact</subject><subject>Environmental Monitoring - methods</subject><subject>Evaluation</subject><subject>Exact sciences and technology</subject><subject>Freshwater</subject><subject>Geographic Information Systems</subject><subject>Geographical information systems</subject><subject>Global positioning systems</subject><subject>GPS</subject><subject>Hydrology</subject><subject>Image processing</subject><subject>Information systems</subject><subject>Information technology</subject><subject>Land use</subject><subject>Mineral nutrients</subject><subject>Modelling</subject><subject>Models, Theoretical</subject><subject>Nitrogen - analysis</subject><subject>Nonpoint source pollution</subject><subject>Nutrient loading</subject><subject>Phosphorus</subject><subject>Phosphorus - analysis</subject><subject>Point source pollution</subject><subject>Policies</subject><subject>Pollution</subject><subject>Pollution abatement</subject><subject>Pollution prevention</subject><subject>Pollution sources</subject><subject>Pollution, environment geology</subject><subject>Positioning systems</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Remote sensing</subject><subject>River basins</subject><subject>Rivers</subject><subject>Satellite imagery</subject><subject>Satellite navigation systems</subject><subject>Satellites</subject><subject>Seasons</subject><subject>Spacecraft</subject><subject>Taiwan</subject><subject>Taiwan, Kao-Ping R</subject><subject>Total maximum daily load</subject><subject>Waste load</subject><subject>Water Pollutants - analysis</subject><subject>Water pollution</subject><subject>Water Supply</subject><subject>Watersheds</subject><issn>0273-1223</issn><issn>1996-9732</issn><isbn>9781843394242</isbn><isbn>1843394243</isbn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp90c2L1DAYBvDgB-447tGrFEQ9dXzz5qPJUZbdVRjwoOIxpGk6dmmTmrTK_vdmnIEFD55CyC8PyfsQ8pLCDqmU73_nZYcAuAOp8BHZUK1lrRuGj8mlbhRVnDHNkeMTsgFsWE0R2QV5nvMdADSMwzNyQZEp0JpvSLj-ZcfVLkMMVeyrEEM9xyEsVY5rcj5XcxzH9e_xMM3WLblq76sC_CHZxXcV-1J2fUzTKWPx7keIYzwM5a4NXXX7fX9TTbHz4ziEwwvytLdj9pfndUu-3Vx_vfpY7z_ffrr6sK8dp7DULYgGLApGgTOgSnrgLZVais7zVrXKUwvY9cioVa6nHEVfrrDWK1AOOrYl7065c4o_V58XMw3ZlTfY4OOaTcOFRqG4KPLtfyWCbECW7C15_Q-8KyMK5ReG6jJ0yVQji6pPyqWYc_K9mdMw2XRvKJhjgaYUaI4FmmOBxb86p67t5LsHfW6ogDdnYLOzY59scEN-cJwqFALYHw44oFk</recordid><startdate>20020101</startdate><enddate>20020101</enddate><creator>NING, S.-K</creator><creator>JENG, K.-Y</creator><creator>CHANG, N.-B</creator><general>IWA</general><general>IWA Publishing</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7UA</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H96</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L.G</scope><scope>L6V</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>7ST</scope><scope>7TV</scope><scope>7U6</scope></search><sort><creationdate>20020101</creationdate><title>Evaluation of non-point sources pollution impacts by integrated 3S information technologies and GWLF modelling</title><author>NING, S.-K ; JENG, K.-Y ; CHANG, N.-B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c410t-b0570a25310430186e04b16965de4b8b8e1a02df231a8cf1425f0573be808c0d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Best management practices</topic><topic>Catchment area</topic><topic>Digital Elevation Models</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Ecosystem</topic><topic>Engineering and environment geology. Geothermics</topic><topic>Environmental impact</topic><topic>Environmental Monitoring - methods</topic><topic>Evaluation</topic><topic>Exact sciences and technology</topic><topic>Freshwater</topic><topic>Geographic Information Systems</topic><topic>Geographical information systems</topic><topic>Global positioning systems</topic><topic>GPS</topic><topic>Hydrology</topic><topic>Image processing</topic><topic>Information systems</topic><topic>Information technology</topic><topic>Land use</topic><topic>Mineral nutrients</topic><topic>Modelling</topic><topic>Models, Theoretical</topic><topic>Nitrogen - analysis</topic><topic>Nonpoint source pollution</topic><topic>Nutrient loading</topic><topic>Phosphorus</topic><topic>Phosphorus - analysis</topic><topic>Point source pollution</topic><topic>Policies</topic><topic>Pollution</topic><topic>Pollution abatement</topic><topic>Pollution prevention</topic><topic>Pollution sources</topic><topic>Pollution, environment geology</topic><topic>Positioning systems</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Remote sensing</topic><topic>River basins</topic><topic>Rivers</topic><topic>Satellite imagery</topic><topic>Satellite navigation systems</topic><topic>Satellites</topic><topic>Seasons</topic><topic>Spacecraft</topic><topic>Taiwan</topic><topic>Taiwan, Kao-Ping R</topic><topic>Total maximum daily load</topic><topic>Waste load</topic><topic>Water Pollutants - analysis</topic><topic>Water pollution</topic><topic>Water Supply</topic><topic>Watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>NING, S.-K</creatorcontrib><creatorcontrib>JENG, K.-Y</creatorcontrib><creatorcontrib>CHANG, N.-B</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Water Resources Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</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>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Engineering Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environment Abstracts</collection><collection>Pollution Abstracts</collection><collection>Sustainability Science Abstracts</collection><jtitle>Water science and technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>NING, S.-K</au><au>JENG, K.-Y</au><au>CHANG, N.-B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of non-point sources pollution impacts by integrated 3S information technologies and GWLF modelling</atitle><jtitle>Water science and technology</jtitle><addtitle>Water Sci Technol</addtitle><date>2002-01-01</date><risdate>2002</risdate><volume>46</volume><issue>6-7</issue><spage>217</spage><epage>224</epage><pages>217-224</pages><issn>0273-1223</issn><eissn>1996-9732</eissn><isbn>9781843394242</isbn><isbn>1843394243</isbn><coden>WSTED4</coden><abstract>Assessing the potential of non-point source pollution to assist in the planning of Best Management Practice (BMP) is significant for improving pollution prevention and control in a river basin. In many cases, however, the grid-based modelling analysis is prohibitively laborious and hindered because of insufficient information. This paper presents a new and fast methodology for catchment land-use identification and waste load estimation by properly integrating the skills of remote sensing (RS), geographic information system (GIS), global positioning system (GPS), and the Generalized Watershed Loading Functions (GWLF) model. In this analysis, eight types of land-use patterns in the watershed area of the Kao-Ping River Basin were classified with the aid of SPOT satellite images, Erdas Imagine image processing system, and ArcView GIS system. Hydrologic and geographical features were obtained or derived by the Digital Elevation Model (DEM) and GIS technique simultaneously. The GWLF model was used to estimate the waste loads of non-point sources in terms of the total phosphorus (TP) and total nitrogen (TN). It shows that the variations of TN and TP loadings are closely related to the amount of rainfall over seasons. Final managerial policy can be made with respect to the identified three impact levels of nutrient loadings in the Kao-Ping River Basin, southern Taiwan, which could eventually perform as part of the Total Maximum Daily Load (TMDL) study in this region.</abstract><cop>London</cop><pub>IWA</pub><pmid>12380994</pmid><doi>10.2166/wst.2002.0682</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0273-1223 |
| ispartof | Water science and technology, 2002-01, Vol.46 (6-7), p.217-224 |
| issn | 0273-1223 1996-9732 |
| language | eng |
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| source | MEDLINE; EZB-FREE-00999 freely available EZB journals |
| subjects | Best management practices Catchment area Digital Elevation Models Earth sciences Earth, ocean, space Ecosystem Engineering and environment geology. Geothermics Environmental impact Environmental Monitoring - methods Evaluation Exact sciences and technology Freshwater Geographic Information Systems Geographical information systems Global positioning systems GPS Hydrology Image processing Information systems Information technology Land use Mineral nutrients Modelling Models, Theoretical Nitrogen - analysis Nonpoint source pollution Nutrient loading Phosphorus Phosphorus - analysis Point source pollution Policies Pollution Pollution abatement Pollution prevention Pollution sources Pollution, environment geology Positioning systems Rain Rainfall Remote sensing River basins Rivers Satellite imagery Satellite navigation systems Satellites Seasons Spacecraft Taiwan Taiwan, Kao-Ping R Total maximum daily load Waste load Water Pollutants - analysis Water pollution Water Supply Watersheds |
| title | Evaluation of non-point sources pollution impacts by integrated 3S information technologies and GWLF modelling |
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