Identifying potential sites for rainwater harvesting ponds (embung) in Indonesia's semi-arid region using GIS-based MCA techniques and satellite rainfall data
People have used rainwater harvesting (RWH) technology for generations to a considerable extent in semi-arid and arid regions. In addition to meeting domestic needs, this technology can be utilized for agricultural purposes as well as soil and water conservation measures. Modeling the identification...
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| description | People have used rainwater harvesting (RWH) technology for generations to a considerable extent in semi-arid and arid regions. In addition to meeting domestic needs, this technology can be utilized for agricultural purposes as well as soil and water conservation measures. Modeling the identification of the appropriate pond's location therefore becomes crucial. This study employs a Geo Information System (GIS) based multi-criteria analysis (MCA) approach and satellite rainfall data, Global Satellite Mapping of Precipitation (GSMaP) to determine the suitable locations for the ponds in a semi-arid area of Indonesia, Liliba watershed, Timor. The criteria for determining the location of the reservoir refer to the FAO and Indonesia's small ponds guideline. The watershed's biophysical characteristics and the socioeconomic situation were taken into consideration when selecting the site. According our statistical analysis, the correlation coefficient results of satellite daily precipitation were weak and moderate, but the results were strong and extremely strong for longer time scales (monthly). Our analysis shows that about 13% of the entire stream system is not suitable for ponds, whereas areas that are both good suitability and excellent suitability for ponds make up 24% and 3% of the total stream system. 61% of the locations are partially suited. The results are then verified against simple field observations. Our analysis suggests that there are 13 locations suitable for pond construction. The combination of geospatial data, GIS, a multi-criteria analysis, and a field survey proved effective for the RWH site selection in a semi-arid region with limited data, especially on the first and second order streams. |
| doi_str_mv | 10.1371/journal.pone.0286061 |
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In addition to meeting domestic needs, this technology can be utilized for agricultural purposes as well as soil and water conservation measures. Modeling the identification of the appropriate pond's location therefore becomes crucial. This study employs a Geo Information System (GIS) based multi-criteria analysis (MCA) approach and satellite rainfall data, Global Satellite Mapping of Precipitation (GSMaP) to determine the suitable locations for the ponds in a semi-arid area of Indonesia, Liliba watershed, Timor. The criteria for determining the location of the reservoir refer to the FAO and Indonesia's small ponds guideline. The watershed's biophysical characteristics and the socioeconomic situation were taken into consideration when selecting the site. According our statistical analysis, the correlation coefficient results of satellite daily precipitation were weak and moderate, but the results were strong and extremely strong for longer time scales (monthly). Our analysis shows that about 13% of the entire stream system is not suitable for ponds, whereas areas that are both good suitability and excellent suitability for ponds make up 24% and 3% of the total stream system. 61% of the locations are partially suited. The results are then verified against simple field observations. Our analysis suggests that there are 13 locations suitable for pond construction. The combination of geospatial data, GIS, a multi-criteria analysis, and a field survey proved effective for the RWH site selection in a semi-arid region with limited data, especially on the first and second order streams.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0286061</identifier><identifier>PMID: 37285375</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Arid regions ; Arid zones ; Biology and Life Sciences ; Computer and Information Sciences ; Correlation coefficient ; Correlation coefficients ; Creeks & streams ; Daily precipitation ; Drought ; Earth Sciences ; Environmental aspects ; Geographic Information Systems ; Harvest ; Humans ; Hydrologic data ; Indonesia ; Irrigation ; Land use ; Landslides & mudslides ; Management ; Multiple criterion ; People and Places ; Physical Sciences ; Pond construction ; Ponds ; Precipitation ; Rain ; Rain water ; Rain-water (Water-supply) ; Rainfall ; Rainfall data ; Rainwater ; Rainwater recovery systems ; Satellites ; Seasons ; Semi arid areas ; Semiarid lands ; Semiarid zones ; Site selection ; Social Sciences ; Soil conservation ; Soil formation ; Soil water ; Soils ; Spatial data ; Statistical analysis ; Streams ; Technology ; Topography ; Water conservation ; Water harvesting ; Water Supply - methods ; Watersheds</subject><ispartof>PloS one, 2023-06, Vol.18 (6), p.e0286061-e0286061</ispartof><rights>Copyright: © 2023 Suni et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2023 Public Library of Science</rights><rights>2023 Suni et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 Suni et al 2023 Suni et al</rights><rights>2023 Suni et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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In addition to meeting domestic needs, this technology can be utilized for agricultural purposes as well as soil and water conservation measures. Modeling the identification of the appropriate pond's location therefore becomes crucial. This study employs a Geo Information System (GIS) based multi-criteria analysis (MCA) approach and satellite rainfall data, Global Satellite Mapping of Precipitation (GSMaP) to determine the suitable locations for the ponds in a semi-arid area of Indonesia, Liliba watershed, Timor. The criteria for determining the location of the reservoir refer to the FAO and Indonesia's small ponds guideline. The watershed's biophysical characteristics and the socioeconomic situation were taken into consideration when selecting the site. According our statistical analysis, the correlation coefficient results of satellite daily precipitation were weak and moderate, but the results were strong and extremely strong for longer time scales (monthly). Our analysis shows that about 13% of the entire stream system is not suitable for ponds, whereas areas that are both good suitability and excellent suitability for ponds make up 24% and 3% of the total stream system. 61% of the locations are partially suited. The results are then verified against simple field observations. Our analysis suggests that there are 13 locations suitable for pond construction. 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Joko</au><au>Istiarto</au><au>Yaseen, Zaher Mundher</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identifying potential sites for rainwater harvesting ponds (embung) in Indonesia's semi-arid region using GIS-based MCA techniques and satellite rainfall data</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2023-06-07</date><risdate>2023</risdate><volume>18</volume><issue>6</issue><spage>e0286061</spage><epage>e0286061</epage><pages>e0286061-e0286061</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>People have used rainwater harvesting (RWH) technology for generations to a considerable extent in semi-arid and arid regions. In addition to meeting domestic needs, this technology can be utilized for agricultural purposes as well as soil and water conservation measures. Modeling the identification of the appropriate pond's location therefore becomes crucial. This study employs a Geo Information System (GIS) based multi-criteria analysis (MCA) approach and satellite rainfall data, Global Satellite Mapping of Precipitation (GSMaP) to determine the suitable locations for the ponds in a semi-arid area of Indonesia, Liliba watershed, Timor. The criteria for determining the location of the reservoir refer to the FAO and Indonesia's small ponds guideline. The watershed's biophysical characteristics and the socioeconomic situation were taken into consideration when selecting the site. According our statistical analysis, the correlation coefficient results of satellite daily precipitation were weak and moderate, but the results were strong and extremely strong for longer time scales (monthly). Our analysis shows that about 13% of the entire stream system is not suitable for ponds, whereas areas that are both good suitability and excellent suitability for ponds make up 24% and 3% of the total stream system. 61% of the locations are partially suited. The results are then verified against simple field observations. Our analysis suggests that there are 13 locations suitable for pond construction. The combination of geospatial data, GIS, a multi-criteria analysis, and a field survey proved effective for the RWH site selection in a semi-arid region with limited data, especially on the first and second order streams.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>37285375</pmid><doi>10.1371/journal.pone.0286061</doi><orcidid>https://orcid.org/0000-0003-1045-5749</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Arid regions Arid zones Biology and Life Sciences Computer and Information Sciences Correlation coefficient Correlation coefficients Creeks & streams Daily precipitation Drought Earth Sciences Environmental aspects Geographic Information Systems Harvest Humans Hydrologic data Indonesia Irrigation Land use Landslides & mudslides Management Multiple criterion People and Places Physical Sciences Pond construction Ponds Precipitation Rain Rain water Rain-water (Water-supply) Rainfall Rainfall data Rainwater Rainwater recovery systems Satellites Seasons Semi arid areas Semiarid lands Semiarid zones Site selection Social Sciences Soil conservation Soil formation Soil water Soils Spatial data Statistical analysis Streams Technology Topography Water conservation Water harvesting Water Supply - methods Watersheds |
| title | Identifying potential sites for rainwater harvesting ponds (embung) in Indonesia's semi-arid region using GIS-based MCA techniques and satellite rainfall data |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T17%3A47%3A34IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Identifying%20potential%20sites%20for%20rainwater%20harvesting%20ponds%20(embung)%20in%20Indonesia's%20semi-arid%20region%20using%20GIS-based%20MCA%20techniques%20and%20satellite%20rainfall%20data&rft.jtitle=PloS%20one&rft.au=Suni,%20Yulius%20Patrisius%20Kau&rft.date=2023-06-07&rft.volume=18&rft.issue=6&rft.spage=e0286061&rft.epage=e0286061&rft.pages=e0286061-e0286061&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0286061&rft_dat=%3Cgale_plos_%3EA752130941%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2823477499&rft_id=info:pmid/37285375&rft_galeid=A752130941&rft_doaj_id=oai_doaj_org_article_384ebb974cd84761a4193fb5d962cb0a&rfr_iscdi=true |