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Flow discharge simulation based on land use change predictions
Haraz River is one of the most important rivers in Iran, which has been faced with successive inappropriate land use changes and environmental degradation practices in recent decades. In this way, the impact of land use changes on stream flow generation, evaporation and hydrological processes of the...
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Published in: | Environmental earth sciences 2017-08, Vol.76 (16), p.1-17, Article 588 |
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description | Haraz River is one of the most important rivers in Iran, which has been faced with successive inappropriate land use changes and environmental degradation practices in recent decades. In this way, the impact of land use changes on stream flow generation, evaporation and hydrological processes of the Haraz basin has been studied. Land use maps for the years of 1988, 2000 and 2013 were prepared and assessed for any changes in land use using land change modeler and logistic regression methods. GEOMOD method was also used for accuracy tests of models. The calibration periods of 1988–2000, 1988–2013 and also Markov chain with hard prediction model were applied in order to predict the future land use for 2025. Besides, SWAT model was used to evaluate the watershed-scale impacts of land use change. Evaluating the calibration periods using GEOMOD method and some parameters showed a more accurate prediction for the period of 1988–2013 than the 1988–2000 period. Likewise, the results indicated that the rate of changes from 2013 to 2025 will be decreased in terms of forest and range lands (6751.05 and 168,09.01 ha, respectively) and will be increased in terms of residential areas, irrigated farming, gardens and bare lands up to 1567.2, 1405.68, 3039.38 and 174,05.55 ha, respectively. The assessment of model efficiency showed that the SWAT model has acceptable performance to simulate the flow discharge. Overall, the model outcomes indicated that land use changes lead to increase the average runoff in the study area. As a matter of fact, this issue has significant effects on water resources, economic and social situations, and hence, efficient strategies are needed for an integrated management in the Haraz basin. |
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In this way, the impact of land use changes on stream flow generation, evaporation and hydrological processes of the Haraz basin has been studied. Land use maps for the years of 1988, 2000 and 2013 were prepared and assessed for any changes in land use using land change modeler and logistic regression methods. GEOMOD method was also used for accuracy tests of models. The calibration periods of 1988–2000, 1988–2013 and also Markov chain with hard prediction model were applied in order to predict the future land use for 2025. Besides, SWAT model was used to evaluate the watershed-scale impacts of land use change. Evaluating the calibration periods using GEOMOD method and some parameters showed a more accurate prediction for the period of 1988–2013 than the 1988–2000 period. Likewise, the results indicated that the rate of changes from 2013 to 2025 will be decreased in terms of forest and range lands (6751.05 and 168,09.01 ha, respectively) and will be increased in terms of residential areas, irrigated farming, gardens and bare lands up to 1567.2, 1405.68, 3039.38 and 174,05.55 ha, respectively. The assessment of model efficiency showed that the SWAT model has acceptable performance to simulate the flow discharge. Overall, the model outcomes indicated that land use changes lead to increase the average runoff in the study area. As a matter of fact, this issue has significant effects on water resources, economic and social situations, and hence, efficient strategies are needed for an integrated management in the Haraz basin.</description><identifier>ISSN: 1866-6280</identifier><identifier>EISSN: 1866-6299</identifier><identifier>DOI: 10.1007/s12665-017-6906-0</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Biogeosciences ; Calibration ; Computer simulation ; Discharge ; Earth and Environmental Science ; Earth Sciences ; Environmental degradation ; Environmental Science and Engineering ; Evaporation ; Geochemistry ; Geology ; Hydrologic models ; Hydrologic processes ; Hydrology ; Hydrology/Water Resources ; Irrigated farming ; Land use ; Markov chains ; Methods ; Model accuracy ; Original Article ; Prediction models ; Residential areas ; Rivers ; Runoff ; Simulation ; Stream discharge ; Stream flow ; Terrestrial Pollution ; Water resources ; Watersheds</subject><ispartof>Environmental earth sciences, 2017-08, Vol.76 (16), p.1-17, Article 588</ispartof><rights>Springer-Verlag GmbH Germany 2017</rights><rights>Environmental Earth Sciences is a copyright of Springer, (2017). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c382t-ace50bd118aa3636ec93540b51f36568079304c94eed1e81a2cfe9fbb127e2d3</citedby><cites>FETCH-LOGICAL-c382t-ace50bd118aa3636ec93540b51f36568079304c94eed1e81a2cfe9fbb127e2d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Kavian, Ataollah</creatorcontrib><creatorcontrib>Golshan, Mohammad</creatorcontrib><creatorcontrib>Abdollahi, Zahra</creatorcontrib><title>Flow discharge simulation based on land use change predictions</title><title>Environmental earth sciences</title><addtitle>Environ Earth Sci</addtitle><description>Haraz River is one of the most important rivers in Iran, which has been faced with successive inappropriate land use changes and environmental degradation practices in recent decades. In this way, the impact of land use changes on stream flow generation, evaporation and hydrological processes of the Haraz basin has been studied. Land use maps for the years of 1988, 2000 and 2013 were prepared and assessed for any changes in land use using land change modeler and logistic regression methods. GEOMOD method was also used for accuracy tests of models. The calibration periods of 1988–2000, 1988–2013 and also Markov chain with hard prediction model were applied in order to predict the future land use for 2025. Besides, SWAT model was used to evaluate the watershed-scale impacts of land use change. Evaluating the calibration periods using GEOMOD method and some parameters showed a more accurate prediction for the period of 1988–2013 than the 1988–2000 period. Likewise, the results indicated that the rate of changes from 2013 to 2025 will be decreased in terms of forest and range lands (6751.05 and 168,09.01 ha, respectively) and will be increased in terms of residential areas, irrigated farming, gardens and bare lands up to 1567.2, 1405.68, 3039.38 and 174,05.55 ha, respectively. The assessment of model efficiency showed that the SWAT model has acceptable performance to simulate the flow discharge. Overall, the model outcomes indicated that land use changes lead to increase the average runoff in the study area. As a matter of fact, this issue has significant effects on water resources, economic and social situations, and hence, efficient strategies are needed for an integrated management in the Haraz basin.</description><subject>Biogeosciences</subject><subject>Calibration</subject><subject>Computer simulation</subject><subject>Discharge</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Environmental degradation</subject><subject>Environmental Science and Engineering</subject><subject>Evaporation</subject><subject>Geochemistry</subject><subject>Geology</subject><subject>Hydrologic models</subject><subject>Hydrologic processes</subject><subject>Hydrology</subject><subject>Hydrology/Water Resources</subject><subject>Irrigated farming</subject><subject>Land use</subject><subject>Markov chains</subject><subject>Methods</subject><subject>Model accuracy</subject><subject>Original Article</subject><subject>Prediction models</subject><subject>Residential areas</subject><subject>Rivers</subject><subject>Runoff</subject><subject>Simulation</subject><subject>Stream discharge</subject><subject>Stream flow</subject><subject>Terrestrial Pollution</subject><subject>Water resources</subject><subject>Watersheds</subject><issn>1866-6280</issn><issn>1866-6299</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp1kEFLxDAQhYMouKz7A7wVPEdnkjZtLoIsrgoLXvYe0mSqXbrtmrSI_94sFfHiXGYO33vDe4xdI9wiQHkXUShVcMCSKw2KwxlbYKUUV0Lr89-7gku2inEPaSTKRC7Y_aYbPjPfRvduwxtlsT1MnR3boc9qG8ln6ehs77MpUpaYPjHHQL51JyZesYvGdpFWP3vJdpvH3fqZb1-fXtYPW-5kJUZuHRVQe8TKWqmkIqdlkUNdYCNVoSootYTc6ZzII1VohWtIN3WNoiTh5ZLdzLbHMHxMFEezH6bQp48GtUopc61lonCmXBhiDNSYY2gPNnwZBHMqysxFmVSUORVlIGnErImJTeHCH-d_Rd9qKWpa</recordid><startdate>20170801</startdate><enddate>20170801</enddate><creator>Kavian, Ataollah</creator><creator>Golshan, Mohammad</creator><creator>Abdollahi, Zahra</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope></search><sort><creationdate>20170801</creationdate><title>Flow discharge simulation based on land use change predictions</title><author>Kavian, Ataollah ; Golshan, Mohammad ; Abdollahi, Zahra</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c382t-ace50bd118aa3636ec93540b51f36568079304c94eed1e81a2cfe9fbb127e2d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Biogeosciences</topic><topic>Calibration</topic><topic>Computer simulation</topic><topic>Discharge</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Environmental degradation</topic><topic>Environmental Science and Engineering</topic><topic>Evaporation</topic><topic>Geochemistry</topic><topic>Geology</topic><topic>Hydrologic models</topic><topic>Hydrologic processes</topic><topic>Hydrology</topic><topic>Hydrology/Water Resources</topic><topic>Irrigated farming</topic><topic>Land use</topic><topic>Markov chains</topic><topic>Methods</topic><topic>Model accuracy</topic><topic>Original Article</topic><topic>Prediction models</topic><topic>Residential areas</topic><topic>Rivers</topic><topic>Runoff</topic><topic>Simulation</topic><topic>Stream discharge</topic><topic>Stream flow</topic><topic>Terrestrial Pollution</topic><topic>Water resources</topic><topic>Watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kavian, Ataollah</creatorcontrib><creatorcontrib>Golshan, Mohammad</creatorcontrib><creatorcontrib>Abdollahi, Zahra</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</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>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Science Journals</collection><collection>Environmental Science 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>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Environmental earth sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kavian, Ataollah</au><au>Golshan, Mohammad</au><au>Abdollahi, Zahra</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Flow discharge simulation based on land use change predictions</atitle><jtitle>Environmental earth sciences</jtitle><stitle>Environ Earth Sci</stitle><date>2017-08-01</date><risdate>2017</risdate><volume>76</volume><issue>16</issue><spage>1</spage><epage>17</epage><pages>1-17</pages><artnum>588</artnum><issn>1866-6280</issn><eissn>1866-6299</eissn><abstract>Haraz River is one of the most important rivers in Iran, which has been faced with successive inappropriate land use changes and environmental degradation practices in recent decades. In this way, the impact of land use changes on stream flow generation, evaporation and hydrological processes of the Haraz basin has been studied. Land use maps for the years of 1988, 2000 and 2013 were prepared and assessed for any changes in land use using land change modeler and logistic regression methods. GEOMOD method was also used for accuracy tests of models. The calibration periods of 1988–2000, 1988–2013 and also Markov chain with hard prediction model were applied in order to predict the future land use for 2025. Besides, SWAT model was used to evaluate the watershed-scale impacts of land use change. Evaluating the calibration periods using GEOMOD method and some parameters showed a more accurate prediction for the period of 1988–2013 than the 1988–2000 period. Likewise, the results indicated that the rate of changes from 2013 to 2025 will be decreased in terms of forest and range lands (6751.05 and 168,09.01 ha, respectively) and will be increased in terms of residential areas, irrigated farming, gardens and bare lands up to 1567.2, 1405.68, 3039.38 and 174,05.55 ha, respectively. The assessment of model efficiency showed that the SWAT model has acceptable performance to simulate the flow discharge. Overall, the model outcomes indicated that land use changes lead to increase the average runoff in the study area. As a matter of fact, this issue has significant effects on water resources, economic and social situations, and hence, efficient strategies are needed for an integrated management in the Haraz basin.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s12665-017-6906-0</doi><tpages>17</tpages></addata></record> |
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subjects | Biogeosciences Calibration Computer simulation Discharge Earth and Environmental Science Earth Sciences Environmental degradation Environmental Science and Engineering Evaporation Geochemistry Geology Hydrologic models Hydrologic processes Hydrology Hydrology/Water Resources Irrigated farming Land use Markov chains Methods Model accuracy Original Article Prediction models Residential areas Rivers Runoff Simulation Stream discharge Stream flow Terrestrial Pollution Water resources Watersheds |
title | Flow discharge simulation based on land use change predictions |
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