Assessment of impacts of land use changes on surface water using L-THIA model (case study: Zayandehrud river basin)
Land use changes in a basin are the most important factors affecting its hydrology and water quality. A hydrological model is an effective tool in assessing the effects of land use change on surface water. In this study, the effects of land use changes in the Zayandehrud basin are estimated using lo...
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| Veröffentlicht in: | Environmental monitoring and assessment 2016-12, Vol.188 (12), p.690-690, Article 690 |
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| creator | Mirzaei, M. Solgi, E. Salmanmahiny, A. |
| description | Land use changes in a basin are the most important factors affecting its hydrology and water quality. A hydrological model is an effective tool in assessing the effects of land use change on surface water. In this study, the effects of land use changes in the Zayandehrud basin are estimated using long-term hydrologic impact assessment model. This model is applicable using long-term data on climate, soil hydrological groups, and land use maps. The study covered three land uses across 18 years (from 1997 to 2015), and we used data on 30 years of precipitation (from 1985 to 2015) in the model. The results of modeling revealed that the average runoff volume increased from around 5,765,034 m
3
in 1997 to 8,894,525 m
3
in 2015. The results also showed an increase in runoff depth. Land use changes over the study period showed an increase of residential areas, bare land, and agricultural lands and a decrease of pasture and forests. The results can be used to make decisions and monitor changes in land use to control the depth and volume of runoff. Using output maps helps in delimitation of the areas that have high runoff average and in implementation of the management plans for controlling the amount of runoff in these areas. Appropriate land use design can decrease impacts of land use changes including hydrologic effects. |
| doi_str_mv | 10.1007/s10661-016-5705-5 |
| format | Article |
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3
in 1997 to 8,894,525 m
3
in 2015. The results also showed an increase in runoff depth. Land use changes over the study period showed an increase of residential areas, bare land, and agricultural lands and a decrease of pasture and forests. The results can be used to make decisions and monitor changes in land use to control the depth and volume of runoff. Using output maps helps in delimitation of the areas that have high runoff average and in implementation of the management plans for controlling the amount of runoff in these areas. Appropriate land use design can decrease impacts of land use changes including hydrologic effects.</description><identifier>ISSN: 0167-6369</identifier><identifier>EISSN: 1573-2959</identifier><identifier>DOI: 10.1007/s10661-016-5705-5</identifier><identifier>PMID: 27885617</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Agricultural land ; Agriculture ; Agriculture - trends ; Atmospheric Protection/Air Quality Control/Air Pollution ; Climate ; Climatic data ; Earth and Environmental Science ; Ecology ; Ecotoxicology ; Environment ; Environmental Management ; Environmental Monitoring ; Floods ; Forests ; Hydrologic cycle ; Hydrologic models ; Hydrology ; Iran ; Land use ; Models, Theoretical ; Monitoring/Environmental Analysis ; Natural resources ; Pasture ; Residential areas ; River basins ; Rivers ; Rivers - chemistry ; Runoff ; Runoff volume ; Surface water ; Water Quality ; Watersheds</subject><ispartof>Environmental monitoring and assessment, 2016-12, Vol.188 (12), p.690-690, Article 690</ispartof><rights>Springer International Publishing Switzerland 2016</rights><rights>Environmental Monitoring and Assessment is a copyright of Springer, 2016.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-11c1917f8153ffbda11b811a6359fd1d873117dc892a90e90d1b09f6603173d13</citedby><cites>FETCH-LOGICAL-c372t-11c1917f8153ffbda11b811a6359fd1d873117dc892a90e90d1b09f6603173d13</cites><orcidid>0000-0002-4589-4840</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10661-016-5705-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10661-016-5705-5$$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/27885617$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mirzaei, M.</creatorcontrib><creatorcontrib>Solgi, E.</creatorcontrib><creatorcontrib>Salmanmahiny, A.</creatorcontrib><title>Assessment of impacts of land use changes on surface water using L-THIA model (case study: Zayandehrud river basin)</title><title>Environmental monitoring and assessment</title><addtitle>Environ Monit Assess</addtitle><addtitle>Environ Monit Assess</addtitle><description>Land use changes in a basin are the most important factors affecting its hydrology and water quality. A hydrological model is an effective tool in assessing the effects of land use change on surface water. In this study, the effects of land use changes in the Zayandehrud basin are estimated using long-term hydrologic impact assessment model. This model is applicable using long-term data on climate, soil hydrological groups, and land use maps. The study covered three land uses across 18 years (from 1997 to 2015), and we used data on 30 years of precipitation (from 1985 to 2015) in the model. The results of modeling revealed that the average runoff volume increased from around 5,765,034 m
3
in 1997 to 8,894,525 m
3
in 2015. The results also showed an increase in runoff depth. Land use changes over the study period showed an increase of residential areas, bare land, and agricultural lands and a decrease of pasture and forests. The results can be used to make decisions and monitor changes in land use to control the depth and volume of runoff. Using output maps helps in delimitation of the areas that have high runoff average and in implementation of the management plans for controlling the amount of runoff in these areas. Appropriate land use design can decrease impacts of land use changes including hydrologic effects.</description><subject>Agricultural land</subject><subject>Agriculture</subject><subject>Agriculture - trends</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Climate</subject><subject>Climatic data</subject><subject>Earth and Environmental Science</subject><subject>Ecology</subject><subject>Ecotoxicology</subject><subject>Environment</subject><subject>Environmental Management</subject><subject>Environmental Monitoring</subject><subject>Floods</subject><subject>Forests</subject><subject>Hydrologic cycle</subject><subject>Hydrologic models</subject><subject>Hydrology</subject><subject>Iran</subject><subject>Land use</subject><subject>Models, Theoretical</subject><subject>Monitoring/Environmental Analysis</subject><subject>Natural resources</subject><subject>Pasture</subject><subject>Residential areas</subject><subject>River basins</subject><subject>Rivers</subject><subject>Rivers - chemistry</subject><subject>Runoff</subject><subject>Runoff volume</subject><subject>Surface water</subject><subject>Water Quality</subject><subject>Watersheds</subject><issn>0167-6369</issn><issn>1573-2959</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kc1O3DAUha0KVKa0D9BNZYkNLAy-8diO2Y1QKUgjsYFNN5bjHwiaJINvQjVvX0dDq6oSK1s-3zm27yHkK_Bz4FxfIHClgHFQTGoumfxAFiC1YJWR5oAsiqCZEsockU-Iz5xzo5fmIzmqdF1LBXpBcIUYEbvYj3RItO22zo84bzeuD3TCSP2T6x9jOespTjk5H-kvN8ZcxLZ_pGt2f3O7ot0Q4oaeelccOE5hd0l_ul3JiE95CjS3r8XRuGI5-0wOk9tg_PK2HpOH6-_3Vzdsfffj9mq1Zl7oamQAHgzoVIMUKTXBATQ1gFNCmhQg1FoA6OBrUznDo-EBGm6SUlyAFgHEMTnd527z8DJFHG3Xoo-b8rM4TGihXi55JTTwgp78hz4PU-7L62ZKzIm1KhTsKZ8HxByT3ea2c3lngdu5EbtvxJbB27kRK4vn21vy1HQx_HX8qaAA1R7AIpVB53-ufjf1N2OqlIY</recordid><startdate>20161201</startdate><enddate>20161201</enddate><creator>Mirzaei, M.</creator><creator>Solgi, E.</creator><creator>Salmanmahiny, A.</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><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>7QL</scope><scope>7SN</scope><scope>7ST</scope><scope>7T7</scope><scope>7TG</scope><scope>7TN</scope><scope>7U7</scope><scope>7UA</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>KL.</scope><scope>L.-</scope><scope>L.G</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7N</scope><scope>P64</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4589-4840</orcidid></search><sort><creationdate>20161201</creationdate><title>Assessment of impacts of land use changes on surface water using L-THIA model (case study: Zayandehrud river basin)</title><author>Mirzaei, M. ; Solgi, E. ; Salmanmahiny, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-11c1917f8153ffbda11b811a6359fd1d873117dc892a90e90d1b09f6603173d13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Agricultural land</topic><topic>Agriculture</topic><topic>Agriculture - 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Academic</collection><jtitle>Environmental monitoring and assessment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mirzaei, M.</au><au>Solgi, E.</au><au>Salmanmahiny, A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of impacts of land use changes on surface water using L-THIA model (case study: Zayandehrud river basin)</atitle><jtitle>Environmental monitoring and assessment</jtitle><stitle>Environ Monit Assess</stitle><addtitle>Environ Monit Assess</addtitle><date>2016-12-01</date><risdate>2016</risdate><volume>188</volume><issue>12</issue><spage>690</spage><epage>690</epage><pages>690-690</pages><artnum>690</artnum><issn>0167-6369</issn><eissn>1573-2959</eissn><abstract>Land use changes in a basin are the most important factors affecting its hydrology and water quality. A hydrological model is an effective tool in assessing the effects of land use change on surface water. In this study, the effects of land use changes in the Zayandehrud basin are estimated using long-term hydrologic impact assessment model. This model is applicable using long-term data on climate, soil hydrological groups, and land use maps. The study covered three land uses across 18 years (from 1997 to 2015), and we used data on 30 years of precipitation (from 1985 to 2015) in the model. The results of modeling revealed that the average runoff volume increased from around 5,765,034 m
3
in 1997 to 8,894,525 m
3
in 2015. The results also showed an increase in runoff depth. Land use changes over the study period showed an increase of residential areas, bare land, and agricultural lands and a decrease of pasture and forests. The results can be used to make decisions and monitor changes in land use to control the depth and volume of runoff. Using output maps helps in delimitation of the areas that have high runoff average and in implementation of the management plans for controlling the amount of runoff in these areas. Appropriate land use design can decrease impacts of land use changes including hydrologic effects.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>27885617</pmid><doi>10.1007/s10661-016-5705-5</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-4589-4840</orcidid></addata></record> |
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| ispartof | Environmental monitoring and assessment, 2016-12, Vol.188 (12), p.690-690, Article 690 |
| issn | 0167-6369 1573-2959 |
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| source | MEDLINE; SpringerLink Journals - AutoHoldings |
| subjects | Agricultural land Agriculture Agriculture - trends Atmospheric Protection/Air Quality Control/Air Pollution Climate Climatic data Earth and Environmental Science Ecology Ecotoxicology Environment Environmental Management Environmental Monitoring Floods Forests Hydrologic cycle Hydrologic models Hydrology Iran Land use Models, Theoretical Monitoring/Environmental Analysis Natural resources Pasture Residential areas River basins Rivers Rivers - chemistry Runoff Runoff volume Surface water Water Quality Watersheds |
| title | Assessment of impacts of land use changes on surface water using L-THIA model (case study: Zayandehrud river basin) |
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