Modeling the distribution of diffuse nitrogen sources and sinks in the Neuse River Basin of North Carolina, USA
This study quantified nonpoint source nitrogen (NPS-N) sources and sinks across the 14,582 km2 Neuse River Basin (NRB) located in North Carolina, to provide tabular data summaries and graphic overlay products to support the development of management approaches to best achieve established N reduction...
Gespeichert in:
Veröffentlicht in: | Journal of the American Water Resources Association 2005-10, Vol.41 (5), p.1129-1147 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 1147 |
---|---|
container_issue | 5 |
container_start_page | 1129 |
container_title | Journal of the American Water Resources Association |
container_volume | 41 |
creator | Lunetta, R.S Greene, R.G Lyon, J.G |
description | This study quantified nonpoint source nitrogen (NPS-N) sources and sinks across the 14,582 km2 Neuse River Basin (NRB) located in North Carolina, to provide tabular data summaries and graphic overlay products to support the development of management approaches to best achieve established N reduction goals. First, a remote sensor derived, land cover classification was performed to support modeling needs. Modeling efforts included the development of a mass balance model to quantify potential N sources and sinks, followed by a precipitation event driven hydrologic model to effectively transport excess N across the landscape to individual stream reaches to support subsequent labeling of transported N values corresponding to source origin. Results indicated that agricultural land contributed 55 percent of the total annual NPS-N loadings, followed by forested land at 23 percent (background), and urban areas at 21 percent. Average annual N source contributions were quantified for agricultural (1.4 kg/ha), urban (1.2 kg/ha), and forested cover types (0.5 kg/ha). Nonpoint source N contributions were greatest during the winter (40 percent), followed by spring (32 percent), summer (28 percent), and fall (0.3 percent). Seasonal total N loadings shifted from urban dominated and forest dominated sources during the winter, to agricultural sources in the spring and summer. A quantitative assessment of the significant NRB land use activities indicated that high (greater than 70 percent impervious) and medium (greater than 35 percent impervious) density urban development were the greatest contributors of NPS-N on a unit area basis (1.9 and 1.6 kg/ha/yr, respectively), followed by row crops and pasture/hay cover types (1.4 kg/ha/yr). |
doi_str_mv | 10.1111/j.1752-1688.2005.tb03789.x |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_20982445</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>20982445</sourcerecordid><originalsourceid>FETCH-LOGICAL-c417t-980e468bee271aba0d9738242475e47e7bc9b27a2f13afea603b167bb4ac89723</originalsourceid><addsrcrecordid>eNqFkUFv1DAQhSMEEqXwG7CQ4ESCx3bimFtZQaGURdCu6M2aZCdbb9O42Ala_j0OuypHfLGt980b6b0sewG8gHTebAvQpcihqutCcF4WY8Olrk2xe5Ad3UsP05sbmSutrh5nT2Lccg4l1PIo81_8mno3bNh4TWzt4hhcM43OD8x36d91UyQ2uDH4DQ0s-im0FBkOaxbdcBOZG_5OLmnmvrtfFNg7TNI8vvRhvGYLDD5twNdsdXHyNHvUYR_p2eE-zlYf3l8uPubnX08_LU7O81aBHnNTc1JV3RAJDdggXxsta6GE0iUpTbppTSM0ig4kdoQVlw1UumkUtrXRQh5nr_a-d8H_nCiO9tbFlvoeB_JTtIKbZKfK_4KgdCWgggS-3YNt8DEG6uxdcLcYflvgdi7Dbu2cuJ0Tt3MZ9lCG3aXhl4ctGFvsu4BD6-I_Bw11aZROXL7nUhG0u9cx3NhKS13aH8tTe3Z2Cebz1dJ-S_zzPd-ht7gJyXN1IThIDjzlB0b-AfTIpKM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>14762161</pqid></control><display><type>article</type><title>Modeling the distribution of diffuse nitrogen sources and sinks in the Neuse River Basin of North Carolina, USA</title><source>Wiley Online Library Journals Frontfile Complete</source><creator>Lunetta, R.S ; Greene, R.G ; Lyon, J.G</creator><creatorcontrib>Lunetta, R.S ; Greene, R.G ; Lyon, J.G</creatorcontrib><description>This study quantified nonpoint source nitrogen (NPS-N) sources and sinks across the 14,582 km2 Neuse River Basin (NRB) located in North Carolina, to provide tabular data summaries and graphic overlay products to support the development of management approaches to best achieve established N reduction goals. First, a remote sensor derived, land cover classification was performed to support modeling needs. Modeling efforts included the development of a mass balance model to quantify potential N sources and sinks, followed by a precipitation event driven hydrologic model to effectively transport excess N across the landscape to individual stream reaches to support subsequent labeling of transported N values corresponding to source origin. Results indicated that agricultural land contributed 55 percent of the total annual NPS-N loadings, followed by forested land at 23 percent (background), and urban areas at 21 percent. Average annual N source contributions were quantified for agricultural (1.4 kg/ha), urban (1.2 kg/ha), and forested cover types (0.5 kg/ha). Nonpoint source N contributions were greatest during the winter (40 percent), followed by spring (32 percent), summer (28 percent), and fall (0.3 percent). Seasonal total N loadings shifted from urban dominated and forest dominated sources during the winter, to agricultural sources in the spring and summer. A quantitative assessment of the significant NRB land use activities indicated that high (greater than 70 percent impervious) and medium (greater than 35 percent impervious) density urban development were the greatest contributors of NPS-N on a unit area basis (1.9 and 1.6 kg/ha/yr, respectively), followed by row crops and pasture/hay cover types (1.4 kg/ha/yr).</description><identifier>ISSN: 1093-474X</identifier><identifier>EISSN: 1752-1688</identifier><identifier>DOI: 10.1111/j.1752-1688.2005.tb03789.x</identifier><identifier>CODEN: JWRAF5</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>agricultural land ; cartography ; Earth sciences ; Earth, ocean, space ; Engineering and environment geology. Geothermics ; Exact sciences and technology ; forests ; Freshwater ; geographic information systems ; geographical distribution ; Hydrology ; Hydrology. Hydrogeology ; mathematical models ; nitrogen ; nitrogen modeling ; nonpoint source pollution ; pollution load ; Pollution, environment geology ; remote sensing ; seasonal variation ; spatial data ; surface water hydrology ; urban areas ; water pollution ; watershed hydrology</subject><ispartof>Journal of the American Water Resources Association, 2005-10, Vol.41 (5), p.1129-1147</ispartof><rights>2005 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c417t-980e468bee271aba0d9738242475e47e7bc9b27a2f13afea603b167bb4ac89723</citedby><cites>FETCH-LOGICAL-c417t-980e468bee271aba0d9738242475e47e7bc9b27a2f13afea603b167bb4ac89723</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17185947$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Lunetta, R.S</creatorcontrib><creatorcontrib>Greene, R.G</creatorcontrib><creatorcontrib>Lyon, J.G</creatorcontrib><title>Modeling the distribution of diffuse nitrogen sources and sinks in the Neuse River Basin of North Carolina, USA</title><title>Journal of the American Water Resources Association</title><description>This study quantified nonpoint source nitrogen (NPS-N) sources and sinks across the 14,582 km2 Neuse River Basin (NRB) located in North Carolina, to provide tabular data summaries and graphic overlay products to support the development of management approaches to best achieve established N reduction goals. First, a remote sensor derived, land cover classification was performed to support modeling needs. Modeling efforts included the development of a mass balance model to quantify potential N sources and sinks, followed by a precipitation event driven hydrologic model to effectively transport excess N across the landscape to individual stream reaches to support subsequent labeling of transported N values corresponding to source origin. Results indicated that agricultural land contributed 55 percent of the total annual NPS-N loadings, followed by forested land at 23 percent (background), and urban areas at 21 percent. Average annual N source contributions were quantified for agricultural (1.4 kg/ha), urban (1.2 kg/ha), and forested cover types (0.5 kg/ha). Nonpoint source N contributions were greatest during the winter (40 percent), followed by spring (32 percent), summer (28 percent), and fall (0.3 percent). Seasonal total N loadings shifted from urban dominated and forest dominated sources during the winter, to agricultural sources in the spring and summer. A quantitative assessment of the significant NRB land use activities indicated that high (greater than 70 percent impervious) and medium (greater than 35 percent impervious) density urban development were the greatest contributors of NPS-N on a unit area basis (1.9 and 1.6 kg/ha/yr, respectively), followed by row crops and pasture/hay cover types (1.4 kg/ha/yr).</description><subject>agricultural land</subject><subject>cartography</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Engineering and environment geology. Geothermics</subject><subject>Exact sciences and technology</subject><subject>forests</subject><subject>Freshwater</subject><subject>geographic information systems</subject><subject>geographical distribution</subject><subject>Hydrology</subject><subject>Hydrology. Hydrogeology</subject><subject>mathematical models</subject><subject>nitrogen</subject><subject>nitrogen modeling</subject><subject>nonpoint source pollution</subject><subject>pollution load</subject><subject>Pollution, environment geology</subject><subject>remote sensing</subject><subject>seasonal variation</subject><subject>spatial data</subject><subject>surface water hydrology</subject><subject>urban areas</subject><subject>water pollution</subject><subject>watershed hydrology</subject><issn>1093-474X</issn><issn>1752-1688</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><recordid>eNqFkUFv1DAQhSMEEqXwG7CQ4ESCx3bimFtZQaGURdCu6M2aZCdbb9O42Ala_j0OuypHfLGt980b6b0sewG8gHTebAvQpcihqutCcF4WY8Olrk2xe5Ad3UsP05sbmSutrh5nT2Lccg4l1PIo81_8mno3bNh4TWzt4hhcM43OD8x36d91UyQ2uDH4DQ0s-im0FBkOaxbdcBOZG_5OLmnmvrtfFNg7TNI8vvRhvGYLDD5twNdsdXHyNHvUYR_p2eE-zlYf3l8uPubnX08_LU7O81aBHnNTc1JV3RAJDdggXxsta6GE0iUpTbppTSM0ig4kdoQVlw1UumkUtrXRQh5nr_a-d8H_nCiO9tbFlvoeB_JTtIKbZKfK_4KgdCWgggS-3YNt8DEG6uxdcLcYflvgdi7Dbu2cuJ0Tt3MZ9lCG3aXhl4ctGFvsu4BD6-I_Bw11aZROXL7nUhG0u9cx3NhKS13aH8tTe3Z2Cebz1dJ-S_zzPd-ht7gJyXN1IThIDjzlB0b-AfTIpKM</recordid><startdate>20051001</startdate><enddate>20051001</enddate><creator>Lunetta, R.S</creator><creator>Greene, R.G</creator><creator>Lyon, J.G</creator><general>Blackwell Publishing Ltd</general><general>American Water Resources Association</general><scope>FBQ</scope><scope>BSCLL</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>C1K</scope><scope>SOI</scope><scope>7QH</scope><scope>7TG</scope><scope>7TV</scope><scope>7UA</scope><scope>F1W</scope><scope>H97</scope><scope>KL.</scope><scope>L.G</scope></search><sort><creationdate>20051001</creationdate><title>Modeling the distribution of diffuse nitrogen sources and sinks in the Neuse River Basin of North Carolina, USA</title><author>Lunetta, R.S ; Greene, R.G ; Lyon, J.G</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c417t-980e468bee271aba0d9738242475e47e7bc9b27a2f13afea603b167bb4ac89723</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>agricultural land</topic><topic>cartography</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Engineering and environment geology. Geothermics</topic><topic>Exact sciences and technology</topic><topic>forests</topic><topic>Freshwater</topic><topic>geographic information systems</topic><topic>geographical distribution</topic><topic>Hydrology</topic><topic>Hydrology. Hydrogeology</topic><topic>mathematical models</topic><topic>nitrogen</topic><topic>nitrogen modeling</topic><topic>nonpoint source pollution</topic><topic>pollution load</topic><topic>Pollution, environment geology</topic><topic>remote sensing</topic><topic>seasonal variation</topic><topic>spatial data</topic><topic>surface water hydrology</topic><topic>urban areas</topic><topic>water pollution</topic><topic>watershed hydrology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lunetta, R.S</creatorcontrib><creatorcontrib>Greene, R.G</creatorcontrib><creatorcontrib>Lyon, J.G</creatorcontrib><collection>AGRIS</collection><collection>Istex</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Pollution Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Journal of the American Water Resources Association</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lunetta, R.S</au><au>Greene, R.G</au><au>Lyon, J.G</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling the distribution of diffuse nitrogen sources and sinks in the Neuse River Basin of North Carolina, USA</atitle><jtitle>Journal of the American Water Resources Association</jtitle><date>2005-10-01</date><risdate>2005</risdate><volume>41</volume><issue>5</issue><spage>1129</spage><epage>1147</epage><pages>1129-1147</pages><issn>1093-474X</issn><eissn>1752-1688</eissn><coden>JWRAF5</coden><abstract>This study quantified nonpoint source nitrogen (NPS-N) sources and sinks across the 14,582 km2 Neuse River Basin (NRB) located in North Carolina, to provide tabular data summaries and graphic overlay products to support the development of management approaches to best achieve established N reduction goals. First, a remote sensor derived, land cover classification was performed to support modeling needs. Modeling efforts included the development of a mass balance model to quantify potential N sources and sinks, followed by a precipitation event driven hydrologic model to effectively transport excess N across the landscape to individual stream reaches to support subsequent labeling of transported N values corresponding to source origin. Results indicated that agricultural land contributed 55 percent of the total annual NPS-N loadings, followed by forested land at 23 percent (background), and urban areas at 21 percent. Average annual N source contributions were quantified for agricultural (1.4 kg/ha), urban (1.2 kg/ha), and forested cover types (0.5 kg/ha). Nonpoint source N contributions were greatest during the winter (40 percent), followed by spring (32 percent), summer (28 percent), and fall (0.3 percent). Seasonal total N loadings shifted from urban dominated and forest dominated sources during the winter, to agricultural sources in the spring and summer. A quantitative assessment of the significant NRB land use activities indicated that high (greater than 70 percent impervious) and medium (greater than 35 percent impervious) density urban development were the greatest contributors of NPS-N on a unit area basis (1.9 and 1.6 kg/ha/yr, respectively), followed by row crops and pasture/hay cover types (1.4 kg/ha/yr).</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/j.1752-1688.2005.tb03789.x</doi><tpages>19</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1093-474X |
ispartof | Journal of the American Water Resources Association, 2005-10, Vol.41 (5), p.1129-1147 |
issn | 1093-474X 1752-1688 |
language | eng |
recordid | cdi_proquest_miscellaneous_20982445 |
source | Wiley Online Library Journals Frontfile Complete |
subjects | agricultural land cartography Earth sciences Earth, ocean, space Engineering and environment geology. Geothermics Exact sciences and technology forests Freshwater geographic information systems geographical distribution Hydrology Hydrology. Hydrogeology mathematical models nitrogen nitrogen modeling nonpoint source pollution pollution load Pollution, environment geology remote sensing seasonal variation spatial data surface water hydrology urban areas water pollution watershed hydrology |
title | Modeling the distribution of diffuse nitrogen sources and sinks in the Neuse River Basin of North Carolina, USA |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T17%3A11%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Modeling%20the%20distribution%20of%20diffuse%20nitrogen%20sources%20and%20sinks%20in%20the%20Neuse%20River%20Basin%20of%20North%20Carolina,%20USA&rft.jtitle=Journal%20of%20the%20American%20Water%20Resources%20Association&rft.au=Lunetta,%20R.S&rft.date=2005-10-01&rft.volume=41&rft.issue=5&rft.spage=1129&rft.epage=1147&rft.pages=1129-1147&rft.issn=1093-474X&rft.eissn=1752-1688&rft.coden=JWRAF5&rft_id=info:doi/10.1111/j.1752-1688.2005.tb03789.x&rft_dat=%3Cproquest_cross%3E20982445%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=14762161&rft_id=info:pmid/&rfr_iscdi=true |