A GIS-based integrative approach for land use optimization in a semi-arid watershed
The proper use of natural resources can preserve these valuable assets. In line with the management of natural resources, land use optimization can be highly useful. The aim of the present study is to propose an appropriate integrative model for optimized allocation of lands for surface runoff and s...
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2018-01-01
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| Series: | Global Journal of Environmental Science and Management |
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| author | S.M. Tajbakhsh H. Memarian A. Kheyrkhah |
| author_facet | S.M. Tajbakhsh H. Memarian A. Kheyrkhah |
| author_sort | S.M. Tajbakhsh |
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| description | The proper use of natural resources can preserve these valuable assets. In line with the management of natural resources, land use optimization can be highly useful. The aim of the present study is to propose an appropriate integrative model for optimized allocation of lands for surface runoff and sediment load minimization and net income maximization in Bayg watershed, Iran. In this study, five categories of land uses, i.e. irrigated orchard, rangeland, irrigated farming, rainfed farming and almond orchard were spatially optimized to minimize surface runoff and sediment yield and to increase net income by integrating three approaches: weighted goal programming, analytic hierarchy process and multi-objective land allocation algorithm. To achieve the target levels in this work, the acreages of almond orchard and rainfed farming should be reduced by 100% and 37.32% respectively, and irrigated farming acreage should be increased by 138.53%. Through these alterations in the land use acreage, the sediment load will be reduced by 16.78% and net income will be improved by 72.52%. However, runoff volume will be increased by 0.22%. Results indicated that weighted goal programming satisfied 96% and 46% of the target levels of sediment load and net income respectively, but failed to reduce runoff volume. Therefore, it is necessary for managers to control runoff using the strategies related to runoff harvesting, especially on steep slopes. Generally, it can be concluded that a combination of the techniques weighted goal programming, analytic hierarchy process and multi-objective land allocation is highly capable to optimize land use and land covers based on the conflicting objectives. |
| format | Article |
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| institution | Kabale University |
| issn | 2383-3572 2383-3866 |
| language | English |
| publishDate | 2018-01-01 |
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| series | Global Journal of Environmental Science and Management |
| spelling | doaj-art-17235d16614940199c6ba6d0e7cb41ca2025-02-02T14:12:37ZengGJESM PublisherGlobal Journal of Environmental Science and Management2383-35722383-38662018-01-0141314610.22034/gjesm.2018.04.01.00428202A GIS-based integrative approach for land use optimization in a semi-arid watershedS.M. Tajbakhsh0H. Memarian1A. Kheyrkhah2Department of Watershed Management, Faculty of Natural Resources and Environment, University of Birjand, Birjand, IranDepartment of Watershed Management, Faculty of Natural Resources and Environment, University of Birjand, Birjand, IranDepartment of Watershed Management, Faculty of Natural Resources and Environment, University of Birjand, Birjand, IranThe proper use of natural resources can preserve these valuable assets. In line with the management of natural resources, land use optimization can be highly useful. The aim of the present study is to propose an appropriate integrative model for optimized allocation of lands for surface runoff and sediment load minimization and net income maximization in Bayg watershed, Iran. In this study, five categories of land uses, i.e. irrigated orchard, rangeland, irrigated farming, rainfed farming and almond orchard were spatially optimized to minimize surface runoff and sediment yield and to increase net income by integrating three approaches: weighted goal programming, analytic hierarchy process and multi-objective land allocation algorithm. To achieve the target levels in this work, the acreages of almond orchard and rainfed farming should be reduced by 100% and 37.32% respectively, and irrigated farming acreage should be increased by 138.53%. Through these alterations in the land use acreage, the sediment load will be reduced by 16.78% and net income will be improved by 72.52%. However, runoff volume will be increased by 0.22%. Results indicated that weighted goal programming satisfied 96% and 46% of the target levels of sediment load and net income respectively, but failed to reduce runoff volume. Therefore, it is necessary for managers to control runoff using the strategies related to runoff harvesting, especially on steep slopes. Generally, it can be concluded that a combination of the techniques weighted goal programming, analytic hierarchy process and multi-objective land allocation is highly capable to optimize land use and land covers based on the conflicting objectives.http://www.gjesm.net/article_28202_06294d2156e89e85baf5218e012b2562.pdfAnalytic hierarchy process (AHP)Goal programmingLand use optimizationMulti-objective land allocation (MOLA)Net incomeRunoff volumeSediment loadWeighted goal programming (WGP) |
| spellingShingle | S.M. Tajbakhsh H. Memarian A. Kheyrkhah A GIS-based integrative approach for land use optimization in a semi-arid watershed Global Journal of Environmental Science and Management Analytic hierarchy process (AHP) Goal programming Land use optimization Multi-objective land allocation (MOLA) Net income Runoff volume Sediment load Weighted goal programming (WGP) |
| title | A GIS-based integrative approach for land use optimization in a semi-arid watershed |
| title_full | A GIS-based integrative approach for land use optimization in a semi-arid watershed |
| title_fullStr | A GIS-based integrative approach for land use optimization in a semi-arid watershed |
| title_full_unstemmed | A GIS-based integrative approach for land use optimization in a semi-arid watershed |
| title_short | A GIS-based integrative approach for land use optimization in a semi-arid watershed |
| title_sort | gis based integrative approach for land use optimization in a semi arid watershed |
| topic | Analytic hierarchy process (AHP) Goal programming Land use optimization Multi-objective land allocation (MOLA) Net income Runoff volume Sediment load Weighted goal programming (WGP) |
| url | http://www.gjesm.net/article_28202_06294d2156e89e85baf5218e012b2562.pdf |
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