Analisis Kesesuaian Lokasi Bendung Kecil dan Daerah Pemanenan Air Hujan (PAH) dengan Menggunakan Sistem Informasi Geogerafis (SIG) di Wilayah Perkotaan

*Atep Hermawan  -  Institut Pertanian Bogor, Indonesia
Yanuar Juardi Purwanto  -  Institut Pertanian Bogor, Indonesia
Nora Herdiana Pandjaitan  -  Institut Pertanian Bogor, Indonesia
Received: 11 Dec 2018; Published: 29 May 2020.
Open Access
Citation Format:

Assessment of site suitability for water harvesting in Sentul City is an important, because the Sentul City area often problems with water supply and is expected to prediction a water deficit in 2050, other problems are floods often occur in the downstream during the rainy season. This study aims to analyze the suitability of the location for small dam and reservoirs determine the number of small dam and reservoirs that can be built in Sentul City based on location suitability maps. Identifying locations for the construction of small dam and reservoirs can use of Geographic Information System (GIS), the approach used multi criteria analysis and weighted overlay techniques with software ArcGIS. Six criteria were considered for this study, which include topographic factors (slope), land use, soil texture, rainfall, and distance to the river and distance to the road. The multi criteria analysis approach, each criterion was assigned a weight with slope being considered as the most important factor. Weighted overlay analysis was performed in ArcGIS and determination of suitable small dam and reservoir site was done from the summation of weight of each contributing factor. A final suitability map was generated which indicated that 34% of the total study area showed that the area was not suitable, 31% highly suitable, 27% was suitable, 6% was moderately suitable and 2% was low suitable for dam construction. Based on suitable map, 5 (five) samall dam and 9 (nine) reservoir can be used to water harvesting that can be used as raw water sources in Sentul City.

Keywords: criterion; map; suitable level; weighted overlay
Funding: IPB University

Article Metrics:

  1. Ahmad, I., & Verma, M. K. (2016). Site suitability mapping for water storage structures using remote sensing & GIS for Sheonath basin in Chhattisgarh state. International Journal of Applied Engineering Research.
  2. Ashley, R. M., Balmfort, D. J., Saul, A. J., & Blanskby, J. D. (2005). Flooding in the future - Predicting climate change, risks and responses in urban areas. Water Science and Technology.
  3. Brown, R. R., Keath, N., & Wong, T. H. F. (2009). Urban water management in cities: historical, current and future regimes. Water Science and Technology.
  4. Dai, X. (2016). Dam Site Selection Using an Integrated Method of AHP and GIS for Decision Making Support in Bortala Title, Northwest China. Lund University.
  5. Deng, Y., Wilson, J. P., & Bauer, B. O. (2007). DEM resolution dependencies of terrain attributes across a landscape. International Journal of Geographical Information Science.
  6. Dep PU. (1986). Kriteria perencanaan bagian bangunan utama standar perencanaan irigasi KP 02 Keputusan Direktur Jenderal Pengairan Nomor: 185/KPTS/A/1986. Jakarta: Departemen Pekerjaan Umum.
  7. Djokic, D. (2012). Hydrologic and Hydraulic Modeling with ArcGIS. In Esri International User Conference.
  8. Farrelly, M., & Brown, R. (2011). Rethinking urban water management: Experimentation as a way forward? Global Environmental Change.
  9. Forzieri, G., Gardenti, M., Caparrini, F., & Castelli, F. (2008). A methodology for the pre-selection of suitable sites for surface and underground small dams in arid areas: A case study in the region of Kidal, Mali. Physics and Chemistry of the Earth.
  10. Gül, A., Gezer, A., & Kane, B. (2006). Multi-criteria analysis for locating new urban forests: An example from Isparta, Turkey. Urban Forestry and Urban Greening.
  11. Harahap, S. (2018). Evaluasi Lanskap Bagi Peruntukan Situ Di Sentul City. Institut Pertanian Bogor.
  12. Jha, M. K., Chowdary, V. M., Kulkarni, Y., & Mal, B. C. (2014). Rainwater harvesting planning using geospatial techniques and multicriteria decision analysis. Resources, Conservation and Recycling.
  13. Mbilinyi, B. P., Tumbo, S. D., Mahoo, H. F., & Mkiramwinyi, F. O. (2007). GIS-based decision support system for identifying potential sites for rainwater harvesting. Physics and Chemistry of the Earth.
  14. Mbilinyi, B., & Tumbo, H. (2013). GIS-Based decision Support System for Identifying Potential Sites for Rainwater Harvesting Decision Support Systems. Morogoro: Sokoine University of Agriculture.
  15. Mehrabi, H., Zeinivand B, H., Hadidi, M., & Assistant, C. A. (2012). Site Selection for Groundwater Artificial Recharge in Silakhor Rangelands Using GIS Technique. Journal of Rangeland Science.
  16. Mendoza, G., & Macoun, P. (1999). Guidelines for applying multi-criteria analysis to the assessment of criteria and indicators. The Criteria and Indicators Toolbox Series No. 9. Jakarta: Centre for International Forestry Research (CIFOR).
  17. Mosate, T. (2016). Application of Gis to Determine Suitable Sites for Surface Rainwater Harvesting In a Semi-Arid Catchment. University of Dar es Salaam.
  18. Njiru, F. (2015). No TitleHydrological information for Dam site selection by Integrating Geographic Information System (GIS) and Analytical Hierarchical Process (AHP). University of Nairobi.
  19. Ramakrishnan, D., Bandyopadhyay, A., & Kusuma, K. N. (2009). SCS-CN and GIS-based approach for identifying potential water harvesting sites in the Kali Watershed, Mahi River Basin, India. Journal of Earth System Science.
  20. Salih, S. A., & Al-Tarif, A. S. M. (2012). Using of GIS Spatial Analyses to Study the Selected Location for Dam Reservoir on Wadi Al-Jirnaf, West of Shirqat Area, Iraq. Journal of Geographic Information System.
  21. Singh, J. P., Singh, D., & Litoria, P. K. (2009). Selection of suitable sites for water harvesting structures in Soankhad watershed, Punjab using remote sensing and geographical information system (RS&GIS) approach- a case study. Journal of the Indian Society of Remote Sensing.
  22. Singh, P., Gupta, A., & Singh, M. (2014). Hydrological inferences from watershed analysis for water resource management using remote sensing and GIS techniques. Egyptian Journal of Remote Sensing and Space Science.
  23. Soedibyo. (2003). Teknik Bendungano Title. Jakarta: Pradnya Paramita.
  24. Travar, I., Andreas, L., Kumpiene, J., & Lagerkvist, A. (2015). Development of drainage water quality from a landfill cover built with secondary construction materials. Waste Management.
  25. Xiao-jun, W., Jian-yun, Z., Shahid, S., ElMahdi, A., Rui-min, H., Zhen-xin, B., & Ali, M. (2012). Water resources management strategy for adaptation to droughts in China. Mitigation and Adaptation Strategies for Global Change.
  26. Ziadat, M. T. AL. (2014). Applications of Planned Behavior Theory (TPB) in Jordanian Tourism. International Journal of Marketing Studies.

Last update: 2021-01-25 19:54:53

No citation recorded.

Last update: 2021-01-25 19:54:54

No citation recorded.