Loading…
Satellite-based rainwater harvesting sites assessment for Dera Ghazi Khan, Punjab, Pakistan
Water scarcity in arid regions poses significant livelihood challenges and necessitates proactive measures such as rainwater harvesting (RWH) systems. This study focuses on identifying RWH sites in Dera Ghazi Khan (DG Khan) district, which recently experienced severe water shortages. Given the diffi...
Saved in:
| Published in: | Environmental science and pollution research international 2024-07, Vol.31 (32), p.45399-45413 |
|---|---|
| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Subjects: | |
| Citations: | Items that this one cites |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| cited_by | |
|---|---|
| cites | cdi_FETCH-LOGICAL-c2049-d8c8bc18ef289cc3267b88d626c3672ef0a7093355eeed2503ac3da93e7bd0f83 |
| container_end_page | 45413 |
| container_issue | 32 |
| container_start_page | 45399 |
| container_title | Environmental science and pollution research international |
| container_volume | 31 |
| creator | Aziz, Samman Dasti, Muhammad Y. S. Abrar, Mashal Mumtaz, Faisal Tariq, Aqil |
| description | Water scarcity in arid regions poses significant livelihood challenges and necessitates proactive measures such as rainwater harvesting (RWH) systems. This study focuses on identifying RWH sites in Dera Ghazi Khan (DG Khan) district, which recently experienced severe water shortages. Given the difficulty of large-scale ground surveys, satellite remote sensing data and Geographic Information System (GIS) techniques were utilized. The Analytic Hierarchy Process (AHP) approach was employed for site selection, considering various criteria, including land use/land cover, precipitation, geological features, slope, and drainage. Landsat 8 OLI imagery, GPM satellite precipitation data, soil maps, and SRTM DEM were key inputs. Integrating these data layers in GIS facilitated the production of an RWH potential map for the region. The study identified 9 RWH check dams, 12 farm ponds, and 17 percolation tanks as suitable for mitigating water scarcity, particularly for irrigation and livestock consumption during dry periods. The research region was classified into four RWH zones based on suitability, with 9% deemed Very Good, 33% Good, 53% Poor, and 5% Very Poor for RWH projects. The generated suitability map is a valuable tool for hydrologists, decision-makers, and stakeholders in identifying RWH potential in arid regions, thereby ensuring water reliability, efficiency, and socio-economic considerations. |
| doi_str_mv | 10.1007/s11356-024-34195-9 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3075704981</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3082045896</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2049-d8c8bc18ef289cc3267b88d626c3672ef0a7093355eeed2503ac3da93e7bd0f83</originalsourceid><addsrcrecordid>eNqNkU1P3DAQhi0EArrlD3BAlrj00IA_ktg-ItrSCqQitT31YE2cCZtl16GepFX762u6QBEHxMEay_PMOzN-GduX4kgKYY5JSl3VhVBloUvpqsJtsF1Zy7IwpXObj-477BXRQgglnDLbbEdbV-tauV32_QuMuFz2IxYNELY8QR9_5bfE55B-Io19vOKU88SBCIlWGEfeDYm_wwT8bA5_en4-h_iWX05xAU2OcN3TCPE12-pgSbh3F2fs24f3X08_Fhefzz6dnlwUQYnSFa0NtgnSYqesC0Gr2jTWtrWqg66Nwk6AEU7rqkLEVlVCQ9AtOI2maUVn9Yy9WevepOHHlEf2q55C3goiDhN5LStt8lEvQIWpTB7KyowePkEXw5RiXiRTNk9e3X7ijKk1FdJAlLDzN6lfQfrtpfC3Lvm1Sz675P-55F0uOriTnpoVtg8l97ZkQK8Byql4hel_72dk_wIP6pwe</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3082045896</pqid></control><display><type>article</type><title>Satellite-based rainwater harvesting sites assessment for Dera Ghazi Khan, Punjab, Pakistan</title><source>Springer Link</source><creator>Aziz, Samman ; Dasti, Muhammad Y. S. ; Abrar, Mashal ; Mumtaz, Faisal ; Tariq, Aqil</creator><creatorcontrib>Aziz, Samman ; Dasti, Muhammad Y. S. ; Abrar, Mashal ; Mumtaz, Faisal ; Tariq, Aqil</creatorcontrib><description>Water scarcity in arid regions poses significant livelihood challenges and necessitates proactive measures such as rainwater harvesting (RWH) systems. This study focuses on identifying RWH sites in Dera Ghazi Khan (DG Khan) district, which recently experienced severe water shortages. Given the difficulty of large-scale ground surveys, satellite remote sensing data and Geographic Information System (GIS) techniques were utilized. The Analytic Hierarchy Process (AHP) approach was employed for site selection, considering various criteria, including land use/land cover, precipitation, geological features, slope, and drainage. Landsat 8 OLI imagery, GPM satellite precipitation data, soil maps, and SRTM DEM were key inputs. Integrating these data layers in GIS facilitated the production of an RWH potential map for the region. The study identified 9 RWH check dams, 12 farm ponds, and 17 percolation tanks as suitable for mitigating water scarcity, particularly for irrigation and livestock consumption during dry periods. The research region was classified into four RWH zones based on suitability, with 9% deemed Very Good, 33% Good, 53% Poor, and 5% Very Poor for RWH projects. The generated suitability map is a valuable tool for hydrologists, decision-makers, and stakeholders in identifying RWH potential in arid regions, thereby ensuring water reliability, efficiency, and socio-economic considerations.</description><identifier>ISSN: 1614-7499</identifier><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-024-34195-9</identifier><identifier>PMID: 38963629</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Analytic hierarchy process ; Aquatic Pollution ; Arid regions ; Arid zones ; Atmospheric Protection/Air Quality Control/Air Pollution ; Check dams ; decision making ; drainage ; Earth and Environmental Science ; Ecotoxicology ; Environment ; Environmental Chemistry ; Environmental Health ; Farm ponds ; farms ; Geographic information systems ; Geological mapping ; Hydrologic data ; Information processing ; irrigation ; Irrigation tanks ; Irrigation water ; Land cover ; Land use ; Landsat ; livelihood ; Livestock ; Pakistan ; Percolation ; rain ; Rain water ; Rainwater recovery systems ; Remote sensing ; Research Article ; Satellite imagery ; Satellites ; Site selection ; socioeconomics ; soil ; Soil layers ; Soil maps ; stakeholders ; Waste Water Technology ; Water harvesting ; Water Management ; Water Pollution Control ; Water scarcity ; Water shortages</subject><ispartof>Environmental science and pollution research international, 2024-07, Vol.31 (32), p.45399-45413</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2049-d8c8bc18ef289cc3267b88d626c3672ef0a7093355eeed2503ac3da93e7bd0f83</cites><orcidid>0000-0003-1322-126X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38963629$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Aziz, Samman</creatorcontrib><creatorcontrib>Dasti, Muhammad Y. S.</creatorcontrib><creatorcontrib>Abrar, Mashal</creatorcontrib><creatorcontrib>Mumtaz, Faisal</creatorcontrib><creatorcontrib>Tariq, Aqil</creatorcontrib><title>Satellite-based rainwater harvesting sites assessment for Dera Ghazi Khan, Punjab, Pakistan</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>Water scarcity in arid regions poses significant livelihood challenges and necessitates proactive measures such as rainwater harvesting (RWH) systems. This study focuses on identifying RWH sites in Dera Ghazi Khan (DG Khan) district, which recently experienced severe water shortages. Given the difficulty of large-scale ground surveys, satellite remote sensing data and Geographic Information System (GIS) techniques were utilized. The Analytic Hierarchy Process (AHP) approach was employed for site selection, considering various criteria, including land use/land cover, precipitation, geological features, slope, and drainage. Landsat 8 OLI imagery, GPM satellite precipitation data, soil maps, and SRTM DEM were key inputs. Integrating these data layers in GIS facilitated the production of an RWH potential map for the region. The study identified 9 RWH check dams, 12 farm ponds, and 17 percolation tanks as suitable for mitigating water scarcity, particularly for irrigation and livestock consumption during dry periods. The research region was classified into four RWH zones based on suitability, with 9% deemed Very Good, 33% Good, 53% Poor, and 5% Very Poor for RWH projects. The generated suitability map is a valuable tool for hydrologists, decision-makers, and stakeholders in identifying RWH potential in arid regions, thereby ensuring water reliability, efficiency, and socio-economic considerations.</description><subject>Analytic hierarchy process</subject><subject>Aquatic Pollution</subject><subject>Arid regions</subject><subject>Arid zones</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Check dams</subject><subject>decision making</subject><subject>drainage</subject><subject>Earth and Environmental Science</subject><subject>Ecotoxicology</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Farm ponds</subject><subject>farms</subject><subject>Geographic information systems</subject><subject>Geological mapping</subject><subject>Hydrologic data</subject><subject>Information processing</subject><subject>irrigation</subject><subject>Irrigation tanks</subject><subject>Irrigation water</subject><subject>Land cover</subject><subject>Land use</subject><subject>Landsat</subject><subject>livelihood</subject><subject>Livestock</subject><subject>Pakistan</subject><subject>Percolation</subject><subject>rain</subject><subject>Rain water</subject><subject>Rainwater recovery systems</subject><subject>Remote sensing</subject><subject>Research Article</subject><subject>Satellite imagery</subject><subject>Satellites</subject><subject>Site selection</subject><subject>socioeconomics</subject><subject>soil</subject><subject>Soil layers</subject><subject>Soil maps</subject><subject>stakeholders</subject><subject>Waste Water Technology</subject><subject>Water harvesting</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><subject>Water scarcity</subject><subject>Water shortages</subject><issn>1614-7499</issn><issn>0944-1344</issn><issn>1614-7499</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNqNkU1P3DAQhi0EArrlD3BAlrj00IA_ktg-ItrSCqQitT31YE2cCZtl16GepFX762u6QBEHxMEay_PMOzN-GduX4kgKYY5JSl3VhVBloUvpqsJtsF1Zy7IwpXObj-477BXRQgglnDLbbEdbV-tauV32_QuMuFz2IxYNELY8QR9_5bfE55B-Io19vOKU88SBCIlWGEfeDYm_wwT8bA5_en4-h_iWX05xAU2OcN3TCPE12-pgSbh3F2fs24f3X08_Fhefzz6dnlwUQYnSFa0NtgnSYqesC0Gr2jTWtrWqg66Nwk6AEU7rqkLEVlVCQ9AtOI2maUVn9Yy9WevepOHHlEf2q55C3goiDhN5LStt8lEvQIWpTB7KyowePkEXw5RiXiRTNk9e3X7ijKk1FdJAlLDzN6lfQfrtpfC3Lvm1Sz675P-55F0uOriTnpoVtg8l97ZkQK8Byql4hel_72dk_wIP6pwe</recordid><startdate>20240701</startdate><enddate>20240701</enddate><creator>Aziz, Samman</creator><creator>Dasti, Muhammad Y. S.</creator><creator>Abrar, Mashal</creator><creator>Mumtaz, Faisal</creator><creator>Tariq, Aqil</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QL</scope><scope>7SN</scope><scope>7T7</scope><scope>7TV</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>K9.</scope><scope>M7N</scope><scope>P64</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0003-1322-126X</orcidid></search><sort><creationdate>20240701</creationdate><title>Satellite-based rainwater harvesting sites assessment for Dera Ghazi Khan, Punjab, Pakistan</title><author>Aziz, Samman ; Dasti, Muhammad Y. S. ; Abrar, Mashal ; Mumtaz, Faisal ; Tariq, Aqil</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2049-d8c8bc18ef289cc3267b88d626c3672ef0a7093355eeed2503ac3da93e7bd0f83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Analytic hierarchy process</topic><topic>Aquatic Pollution</topic><topic>Arid regions</topic><topic>Arid zones</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Check dams</topic><topic>decision making</topic><topic>drainage</topic><topic>Earth and Environmental Science</topic><topic>Ecotoxicology</topic><topic>Environment</topic><topic>Environmental Chemistry</topic><topic>Environmental Health</topic><topic>Farm ponds</topic><topic>farms</topic><topic>Geographic information systems</topic><topic>Geological mapping</topic><topic>Hydrologic data</topic><topic>Information processing</topic><topic>irrigation</topic><topic>Irrigation tanks</topic><topic>Irrigation water</topic><topic>Land cover</topic><topic>Land use</topic><topic>Landsat</topic><topic>livelihood</topic><topic>Livestock</topic><topic>Pakistan</topic><topic>Percolation</topic><topic>rain</topic><topic>Rain water</topic><topic>Rainwater recovery systems</topic><topic>Remote sensing</topic><topic>Research Article</topic><topic>Satellite imagery</topic><topic>Satellites</topic><topic>Site selection</topic><topic>socioeconomics</topic><topic>soil</topic><topic>Soil layers</topic><topic>Soil maps</topic><topic>stakeholders</topic><topic>Waste Water Technology</topic><topic>Water harvesting</topic><topic>Water Management</topic><topic>Water Pollution Control</topic><topic>Water scarcity</topic><topic>Water shortages</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Aziz, Samman</creatorcontrib><creatorcontrib>Dasti, Muhammad Y. S.</creatorcontrib><creatorcontrib>Abrar, Mashal</creatorcontrib><creatorcontrib>Mumtaz, Faisal</creatorcontrib><creatorcontrib>Tariq, Aqil</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Pollution Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Environmental science and pollution research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aziz, Samman</au><au>Dasti, Muhammad Y. S.</au><au>Abrar, Mashal</au><au>Mumtaz, Faisal</au><au>Tariq, Aqil</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Satellite-based rainwater harvesting sites assessment for Dera Ghazi Khan, Punjab, Pakistan</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2024-07-01</date><risdate>2024</risdate><volume>31</volume><issue>32</issue><spage>45399</spage><epage>45413</epage><pages>45399-45413</pages><issn>1614-7499</issn><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>Water scarcity in arid regions poses significant livelihood challenges and necessitates proactive measures such as rainwater harvesting (RWH) systems. This study focuses on identifying RWH sites in Dera Ghazi Khan (DG Khan) district, which recently experienced severe water shortages. Given the difficulty of large-scale ground surveys, satellite remote sensing data and Geographic Information System (GIS) techniques were utilized. The Analytic Hierarchy Process (AHP) approach was employed for site selection, considering various criteria, including land use/land cover, precipitation, geological features, slope, and drainage. Landsat 8 OLI imagery, GPM satellite precipitation data, soil maps, and SRTM DEM were key inputs. Integrating these data layers in GIS facilitated the production of an RWH potential map for the region. The study identified 9 RWH check dams, 12 farm ponds, and 17 percolation tanks as suitable for mitigating water scarcity, particularly for irrigation and livestock consumption during dry periods. The research region was classified into four RWH zones based on suitability, with 9% deemed Very Good, 33% Good, 53% Poor, and 5% Very Poor for RWH projects. The generated suitability map is a valuable tool for hydrologists, decision-makers, and stakeholders in identifying RWH potential in arid regions, thereby ensuring water reliability, efficiency, and socio-economic considerations.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>38963629</pmid><doi>10.1007/s11356-024-34195-9</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0003-1322-126X</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1614-7499 |
| ispartof | Environmental science and pollution research international, 2024-07, Vol.31 (32), p.45399-45413 |
| issn | 1614-7499 0944-1344 1614-7499 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_3075704981 |
| source | Springer Link |
| subjects | Analytic hierarchy process Aquatic Pollution Arid regions Arid zones Atmospheric Protection/Air Quality Control/Air Pollution Check dams decision making drainage Earth and Environmental Science Ecotoxicology Environment Environmental Chemistry Environmental Health Farm ponds farms Geographic information systems Geological mapping Hydrologic data Information processing irrigation Irrigation tanks Irrigation water Land cover Land use Landsat livelihood Livestock Pakistan Percolation rain Rain water Rainwater recovery systems Remote sensing Research Article Satellite imagery Satellites Site selection socioeconomics soil Soil layers Soil maps stakeholders Waste Water Technology Water harvesting Water Management Water Pollution Control Water scarcity Water shortages |
| title | Satellite-based rainwater harvesting sites assessment for Dera Ghazi Khan, Punjab, Pakistan |
| url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T07%3A58%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Satellite-based%20rainwater%20harvesting%20sites%20assessment%20for%20Dera%20Ghazi%20Khan,%20Punjab,%20Pakistan&rft.jtitle=Environmental%20science%20and%20pollution%20research%20international&rft.au=Aziz,%20Samman&rft.date=2024-07-01&rft.volume=31&rft.issue=32&rft.spage=45399&rft.epage=45413&rft.pages=45399-45413&rft.issn=1614-7499&rft.eissn=1614-7499&rft_id=info:doi/10.1007/s11356-024-34195-9&rft_dat=%3Cproquest_cross%3E3082045896%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c2049-d8c8bc18ef289cc3267b88d626c3672ef0a7093355eeed2503ac3da93e7bd0f83%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3082045896&rft_id=info:pmid/38963629&rfr_iscdi=true |