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Stochastic modelling of N-leaching using GIS and multivariate statistical methods
After the growing season, a part of the nitrogen remains in forms sensitive to changes of the conditions, such as nitrate. In years with above-average precipitation a significant amount of nitrate can leave the rooting zone. Integration of knowledge related to environmental conditions of a certain a...
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| Published in: | Water Science & Technology 1998-01, Vol.38 (10), p.191-197 |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-a2408-fe0fd25646ec4048f927dfbb36cb429ff99d591cff663e03e7775323c6b5b1713 |
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| container_end_page | 197 |
| container_issue | 10 |
| container_start_page | 191 |
| container_title | Water Science & Technology |
| container_volume | 38 |
| creator | NEMETH, T PASZTOR, L SZABO, J |
| description | After the growing season, a part of the nitrogen remains in forms sensitive to changes of the conditions, such as nitrate. In years with above-average precipitation a significant amount of nitrate can leave the rooting zone. Integration of knowledge related to environmental conditions of a certain area with the soil, water, and crop management practices helps to prevent the simultaneity of the unfavourable processes leading to nitrate leaching, thus water resources may be protected from nitrate pollution of agricultural origin. In our work we present a stochastic approach for the evaluation of the vulnerability of soils for nitrate leaching. The method was applied for mapping N-leaching hazard in Hungary at a scale of 1:1M. |
| doi_str_mv | 10.1016/S0273-1223(98)00749-5 |
| format | article |
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In years with above-average precipitation a significant amount of nitrate can leave the rooting zone. Integration of knowledge related to environmental conditions of a certain area with the soil, water, and crop management practices helps to prevent the simultaneity of the unfavourable processes leading to nitrate leaching, thus water resources may be protected from nitrate pollution of agricultural origin. In our work we present a stochastic approach for the evaluation of the vulnerability of soils for nitrate leaching. The method was applied for mapping N-leaching hazard in Hungary at a scale of 1:1M.</description><identifier>ISSN: 0273-1223</identifier><identifier>ISBN: 0080433960</identifier><identifier>ISBN: 9780080433967</identifier><identifier>EISSN: 1996-9732</identifier><identifier>EISSN: 0264-1275</identifier><identifier>DOI: 10.1016/S0273-1223(98)00749-5</identifier><identifier>CODEN: WSTED4</identifier><language>eng</language><publisher>New York NY: Pergamon Press</publisher><subject>Agricultural management ; Agricultural pollution ; Agronomy. Soil science and plant productions ; Applied sciences ; Biological and medical sciences ; Crop management ; Earth sciences ; Earth, ocean, space ; Engineering and environment geology. Geothermics ; Environmental conditions ; Evaluation ; Exact sciences and technology ; Freshwater ; Fundamental and applied biological sciences. Psychology ; Geographical information systems ; Groundwaters ; Growing season ; Hungary ; Leaching ; Modelling ; Natural water pollution ; Nitrates ; Nitrogen ; Pollution ; Pollution abatement ; Pollution, environment geology ; Rooting ; Soil ; Soil and water pollution ; Soil mapping ; Soil science ; Soil water ; Statistical methods ; Stochastic models ; Stochasticity ; Vulnerability ; Water pollution ; Water resources ; Water treatment and pollution</subject><ispartof>Water Science & Technology, 1998-01, Vol.38 (10), p.191-197</ispartof><rights>1999 INIST-CNRS</rights><rights>Copyright IWA Publishing Nov 1998</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a2408-fe0fd25646ec4048f927dfbb36cb429ff99d591cff663e03e7775323c6b5b1713</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>309,310,314,780,784,789,790,23930,23931,25140,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=1573467$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><contributor>Grabow, WOK</contributor><contributor>Van Der Vlies, A</contributor><contributor>Lesouef, A</contributor><contributor>Haas, C</contributor><contributor>Watanabe, Y</contributor><contributor>Milburn, A</contributor><contributor>Hall, ER</contributor><contributor>Dohmann, M</contributor><contributor>Nagle, PT</contributor><contributor>Orhon, D</contributor><contributor>Purdon, CD</contributor><contributor>Nagle, PT (eds)</contributor><creatorcontrib>NEMETH, T</creatorcontrib><creatorcontrib>PASZTOR, L</creatorcontrib><creatorcontrib>SZABO, J</creatorcontrib><title>Stochastic modelling of N-leaching using GIS and multivariate statistical methods</title><title>Water Science & Technology</title><description>After the growing season, a part of the nitrogen remains in forms sensitive to changes of the conditions, such as nitrate. In years with above-average precipitation a significant amount of nitrate can leave the rooting zone. Integration of knowledge related to environmental conditions of a certain area with the soil, water, and crop management practices helps to prevent the simultaneity of the unfavourable processes leading to nitrate leaching, thus water resources may be protected from nitrate pollution of agricultural origin. In our work we present a stochastic approach for the evaluation of the vulnerability of soils for nitrate leaching. The method was applied for mapping N-leaching hazard in Hungary at a scale of 1:1M.</description><subject>Agricultural management</subject><subject>Agricultural pollution</subject><subject>Agronomy. Soil science and plant productions</subject><subject>Applied sciences</subject><subject>Biological and medical sciences</subject><subject>Crop management</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Engineering and environment geology. Geothermics</subject><subject>Environmental conditions</subject><subject>Evaluation</subject><subject>Exact sciences and technology</subject><subject>Freshwater</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Geographical information systems</subject><subject>Groundwaters</subject><subject>Growing season</subject><subject>Hungary</subject><subject>Leaching</subject><subject>Modelling</subject><subject>Natural water pollution</subject><subject>Nitrates</subject><subject>Nitrogen</subject><subject>Pollution</subject><subject>Pollution abatement</subject><subject>Pollution, environment geology</subject><subject>Rooting</subject><subject>Soil</subject><subject>Soil and water pollution</subject><subject>Soil mapping</subject><subject>Soil science</subject><subject>Soil water</subject><subject>Statistical methods</subject><subject>Stochastic models</subject><subject>Stochasticity</subject><subject>Vulnerability</subject><subject>Water pollution</subject><subject>Water resources</subject><subject>Water treatment and pollution</subject><issn>0273-1223</issn><issn>1996-9732</issn><issn>0264-1275</issn><isbn>0080433960</isbn><isbn>9780080433967</isbn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><recordid>eNqFkd1LwzAUxYMf4Db9E4SCIvpQvUnapHmUoXMwFJk-hzRNXEc_tEkF_3vTbSj44ksugd853HsOQqcYrjFgdrMEwmmMCaGXIrsC4ImI0z00wkKwWHBK9tEYIIOEUsHgAI1--CM0dm4NQUITGKHnpW_1Sjlf6qhuC1NVZfMWtTZ6jCuj9Gr49W54Z_NlpJoiqvvKl5-qK5U3kfPKl4NYVVFt_Kot3DE6tKpy5mQ3J-j1_u5l-hAvnmbz6e0iViSBLLYGbEFSljCjE0gyKwgvbJ5TpvOECGuFKFKBtbWMUQPUcM5TSqhmeZpjjukEXWx937v2ozfOy7p0OhygGtP2ToYoCM5w9j9IGYiwUgDP_oDrtu-acEQwC0lygXEaqHRL6a51rjNWvndlrboviUEO5chNOXIIW4pMbsqRg-58565ciMt2qtGl-xWnoRDG6TeXB4uv</recordid><startdate>19980101</startdate><enddate>19980101</enddate><creator>NEMETH, T</creator><creator>PASZTOR, L</creator><creator>SZABO, J</creator><general>Pergamon Press</general><general>IWA Publishing</general><scope>IQODW</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>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>7TV</scope></search><sort><creationdate>19980101</creationdate><title>Stochastic modelling of N-leaching using GIS and multivariate statistical methods</title><author>NEMETH, T ; PASZTOR, L ; SZABO, J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a2408-fe0fd25646ec4048f927dfbb36cb429ff99d591cff663e03e7775323c6b5b1713</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Agricultural management</topic><topic>Agricultural pollution</topic><topic>Agronomy. Soil science and plant productions</topic><topic>Applied sciences</topic><topic>Biological and medical sciences</topic><topic>Crop management</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Engineering and environment geology. Geothermics</topic><topic>Environmental conditions</topic><topic>Evaluation</topic><topic>Exact sciences and technology</topic><topic>Freshwater</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Geographical information systems</topic><topic>Groundwaters</topic><topic>Growing season</topic><topic>Hungary</topic><topic>Leaching</topic><topic>Modelling</topic><topic>Natural water pollution</topic><topic>Nitrates</topic><topic>Nitrogen</topic><topic>Pollution</topic><topic>Pollution abatement</topic><topic>Pollution, environment geology</topic><topic>Rooting</topic><topic>Soil</topic><topic>Soil and water pollution</topic><topic>Soil mapping</topic><topic>Soil science</topic><topic>Soil water</topic><topic>Statistical methods</topic><topic>Stochastic models</topic><topic>Stochasticity</topic><topic>Vulnerability</topic><topic>Water pollution</topic><topic>Water resources</topic><topic>Water treatment and pollution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>NEMETH, T</creatorcontrib><creatorcontrib>PASZTOR, L</creatorcontrib><creatorcontrib>SZABO, J</creatorcontrib><collection>Pascal-Francis</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)</collection><collection>ProQuest Central</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest 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</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>Pollution Abstracts</collection><jtitle>Water Science & Technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>NEMETH, T</au><au>PASZTOR, L</au><au>SZABO, J</au><au>Grabow, WOK</au><au>Van Der Vlies, A</au><au>Lesouef, A</au><au>Haas, C</au><au>Watanabe, Y</au><au>Milburn, A</au><au>Hall, ER</au><au>Dohmann, M</au><au>Nagle, PT</au><au>Orhon, D</au><au>Purdon, CD</au><au>Nagle, PT (eds)</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Stochastic modelling of N-leaching using GIS and multivariate statistical methods</atitle><jtitle>Water Science & Technology</jtitle><date>1998-01-01</date><risdate>1998</risdate><volume>38</volume><issue>10</issue><spage>191</spage><epage>197</epage><pages>191-197</pages><issn>0273-1223</issn><eissn>1996-9732</eissn><eissn>0264-1275</eissn><isbn>0080433960</isbn><isbn>9780080433967</isbn><coden>WSTED4</coden><abstract>After the growing season, a part of the nitrogen remains in forms sensitive to changes of the conditions, such as nitrate. In years with above-average precipitation a significant amount of nitrate can leave the rooting zone. Integration of knowledge related to environmental conditions of a certain area with the soil, water, and crop management practices helps to prevent the simultaneity of the unfavourable processes leading to nitrate leaching, thus water resources may be protected from nitrate pollution of agricultural origin. In our work we present a stochastic approach for the evaluation of the vulnerability of soils for nitrate leaching. The method was applied for mapping N-leaching hazard in Hungary at a scale of 1:1M.</abstract><cop>New York NY</cop><cop>Oxford</cop><pub>Pergamon Press</pub><doi>10.1016/S0273-1223(98)00749-5</doi><tpages>7</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0273-1223 |
| ispartof | Water Science & Technology, 1998-01, Vol.38 (10), p.191-197 |
| issn | 0273-1223 1996-9732 0264-1275 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_19921818 |
| source | Alma/SFX Local Collection |
| subjects | Agricultural management Agricultural pollution Agronomy. Soil science and plant productions Applied sciences Biological and medical sciences Crop management Earth sciences Earth, ocean, space Engineering and environment geology. Geothermics Environmental conditions Evaluation Exact sciences and technology Freshwater Fundamental and applied biological sciences. Psychology Geographical information systems Groundwaters Growing season Hungary Leaching Modelling Natural water pollution Nitrates Nitrogen Pollution Pollution abatement Pollution, environment geology Rooting Soil Soil and water pollution Soil mapping Soil science Soil water Statistical methods Stochastic models Stochasticity Vulnerability Water pollution Water resources Water treatment and pollution |
| title | Stochastic modelling of N-leaching using GIS and multivariate statistical methods |
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