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Abstrakty
In this study, an integrated approach has been adopted for optimum selection of locations for rain water harvesting (RWH) in Kohat district of Pakistan. Various thematic layers including runof depth, land cover/land use, slope and drainage density have been incorporated as input to the analysis. Other biophysical criteria such as geological setup, soil texture and drainage streams characteristics were also taken into account. Drainage density and slope were derived from digital elevation model, and map of land use/land cover was prepared using supervised classifcation of multi-spectral Sentinel-2 images of the area. Aforementioned thematic layers are assigned respective weights of their importance and combined in GIS environment to form a RWH potential map of the region. The generated suitability map is classifed into three potential zones: high, moderate and low suitability zones consisting of area 638 km2 (21%), 1859 km2 (62%) and 519 km2 (17%), respectively. The suitability map has been used to mark accumulation points on the down streams as potential spots of water storage. In addition, site suitability of artifcial structures for RWH consisting of farm ponds, check dams and percolation tanks has also been assessed, showing 3.2%, 3% and 4.5% of the total area as a ft for each of the structure, respectively. The derived suitability will aid policy makers to easily determine potential sites for RWH structures to store water and tackle acute paucity of water in the area.
Wydawca
Czasopismo
Rocznik
Tom
Strony
1175--1185
Opis fizyczny
Bibliogr. 27 poz.
Twórcy
autor
- RS and GIS Group, Department of Space Science, University of the Punjab, Lahore, Pakistan
autor
- Department of Space Science, University of the Punjab, Lahore, Pakistan
autor
- Department of Space Science, University of the Punjab, Lahore, Pakistan
autor
- Department of Space Science, University of the Punjab, Lahore, Pakistan
Bibliografia
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- 10. Kadam AK, Kale SS, Pande NN, Pawar NJ, Sankhua RN (2012) Identifying potential rainwater harvesting sites of a semi-arid, basaltic region of Western India, using SCS-CN method. Water Resour Manag 26(9):2537–2554
- 11. Khalid J, Marsumi A, Shamma AMA (2017) Selection of suitable sites for water harvesting structures in a flood prone area using remote sensing and GIS-case study. J Environ Earth Sci 7(4):91–100
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- 15. Mahmood K, Ul-Haq Z, Faizi F, Tariq S, Muhammad AN, Rana AD (2019) Monitoring open dumping of municipal waste in Gujranwala, Pakistan using a combination of satellite based bio-indicators and GIS analysis. Ecol Ind 107:105613
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Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-533626d3-48a8-4869-b72f-4501b8876378