Gis-Based Site Selection For Rainwater Harvesting (Rwh) Systems In Davao City Philippines
Fillmore D Masancay | Josephine Niña D Balilahon | Diana Jane B Bolivar | Shaira Angelique P Rodrigo
Discipline: others in engineering
Abstract:
The looming water crisis and environmental problems aggravated by climate change,
such as flooding, the implementation of RWH systems for different applications is deemed
an effective solution, especially for areas with abundant rainfall, such as Davao City. This
study utilized QGIS to map suitable site for open area rainwater harvesting (RWH) systems
in Davao City, Philippines. This study aimed to identify potential location sites for RWH
systems in Davao City by producing suitability maps using weighted overlay analysis. The
Weighted Overlay Analysis was implemented to produce a suitability map based on the
assigned weights of datasets to influence the overall RWH suitability. The datasets employed
include slope, rainfall, land use, soil type, and lineament density. Findings show that the
very highly suitable areas for RWH systems are located mostly in the districts of Marilog,
Baguio, Calinan, Paquibato and some parts of Tugbok. In addition to the same districts,
Calinan, and Tugbok have highly suitable areas for the RWH system. Unsuitable areas, or
areas that were not recommended to implement RWH systems were concentrated in the
district of Agdao, Buhangin, Bunawan, and Poblacion, where urban areas are located. The
resulting suitability map can benefit the local authorities and planners in implementing
RWH systems for the development of city’s agriculture in water resource conservation, and
flood management, supporting sustainable development and climate resilience in Davao City.
References:
- Abrams, M., Crippen, R., & Fujisada, H. (2020). ASTER Global Digital Elevation Model (GDEM) and ASTER Global Water Body Dataset (ASTWBD). Remote Sensing, 12(7), 1156. https://doi.org/10.3390/rs12071156
- Adham, A., Riksen, M., Abed, R., Shadeed, S., & Ritsema, C. (2022). Assessing suitable techniques for rainwater harvesting using Analytical hierarchy process (AHP) methods and GIS techniques. Water, 14(13), 2110. https://doi.org/10.3390/w14132110
- Adham, A., Riksen, M., Ouessar, M., & Ritsema, C. (2016). A methodology to assess and evaluate rainwater harvesting techniques in (SEMI-) arid regions. Water, 8(5), 198. https://doi.org/10.3390/w8050198
- Ahmed, S. A., Jesson, M., & Sharifi, S. (2023). Selection frameworks for potential rainwater harvesting sites in arid and semi-arid regions: A systematic literature review. Water, 15(15), 2782. https://doi.org/10.3390/w15152782
- Al-Adamat, R. (2008). GIS as a decision support system for siting water harvesting ponds in the Basalt Aquifer/NE Jordan. Journal of Environmental Assessment Policy and Management, 10(02), 189–206. https://doi.org/10.1142/s1464333208003020
- Al-Shabeeb, A. R. (2016). The use of AHP within GIS in selecting potential sites for water harvesting sites in the Azraq Basin—Jordan. Journal of Geographic Information System, 08(01), 73–88. https://doi.org/10.4236/jgis.2016.81008
- Ball, J. (2001). Soil and water relationships. Noble Research Institute. https://www.noble.org/regenerative-agriculture/soil/soil-and-water-relationships/
- Bañados, J. H., & Quijano, I. P. (2022). Rainwater retention site assessment for urban flood risk reduction and flood defence in Mandaue City, Philippines. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-3/W1-2022, 1–7. https://doi.org/10.5194/isprs-annals-x-3-w1-2022-1-2022
- Buraihi, F. H., & Shariff, A. R. M. (2015). Selection of rainwater harvesting sites by using remote sensing and GIS techniques: A case study of Kirkuk, Iraq. Jurnal Teknologi, 76(15). https://doi.org/10.11113/jt.v76.5955
- ClimateData.ca. (2023). Importance of using 30 years of data — ClimateData.ca.
- Critchley, W., Siegert, K., Chapman, C., & Finket, M. (2013). Water harvesting: A manual guide for the design and construction of water harvesting schemes for plant production. Scientific Publishers.
- Department of Agriculture. (2019). Rainwater harvesting seen as solution to water scarcity. Official Portal of the Department of Agriculture.
- D’Silva, T. C., Verma, S., Magdaline, R. M., Chandra, R., & Khan, A. A. (2021). Environmental resilience and sustainability through green technologies: A case evidence from rural coastal India. Environmental Engineering Research, 27(5), 210262–0. https://doi.org/10.4491/eer.2021.262
- Dumdumaya, C. E., & Cabrera, J. S. (2023). Determination of future land use changes using remote sensing imagery and artificial neural network algorithm: A case study of Davao City, Philippines. Artificial Intelligence in Geosciences, 4, 111–118. https://doi.org/10.1016/j.aiig.2023.08.002
- El-Sayed, A. M., Elewa, H. H., Abdel Wahed, M., & Abu Salem, H. S. (2022). Runoff water harvesting optimization using RS, GIS and watershed modeling in Wadi El-Assiuti, Eastern Desert, Egypt. Annals of the Geological Survey of Egypt, 39(39). https://doi.org/10.21608/asge.2022.321087
- Government of Newfoundland and Labrador. (2019). Science resources and support documents – Education. Education.
- Institute for Global Environmental Strategies. (2020). FY 2019 City-to-City Collaboration for Low-Carbon Society.
- IPCC. (2007). Climate Change 2007: Synthesis Report. Contribution of Working Groups I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (p. 104).
- Jayswal, P. S., Gontia, N. K., Sondarva, K. N., & Patel, V. A. (2023). Site selection for rainwater harvesting using remote sensing, GIS and AHP. International Journal of Plant and Soil Science, 35(18), 1360–1378. https://doi.org/10.9734/ijpss/2023/v35i183403
- 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, 83, 96–111. https://doi.org/10.1016/j.resconrec.2013.12.003
- Kadam, A., Kale, S., Pande, N. N., Pawar, N. J., & Sankhua, R. N. (2012). Identifying potential rainwater harvesting sites of a semi-arid, basaltic region of western India, using SCS-CN method. Water Resources Management, 26(9), 2537–2554. https://doi.org/10.1007/s11269-012-0031-3
- Kapli, F. W. A., Azis, F. A., Suhaimi, H., Shamsuddin, N., & Abas, P. E. (2023). Feasibility studies of rainwater harvesting system for ablution purposes. Water, 15(9), 1686. https://doi.org/10.3390/w15091686
- Khan, D., Raziq, A., Young, H. V., Sardar, T., & Liou, Y. (2022). Identifying potential sites for rainwater harvesting structures in Ghazi Tehsil, Khyber Pakhtunkhwa, Pakistan, using geospatial approach. Remote Sensing, 14(19), 5008. https://doi.org/10.3390/rs14195008
- Lumbera, M. P., Cruz, M. L. F., & Junio, J. M. (2023). Issues, challenges, and strategies for the implementation of roof-based rainwater harvesting systems in the Philippines. In AIP Conference Proceedings, 2785(1). AIP Publishing. https://doi.org/10.1063/5.0147972
- Mageshkumar, P., Subbaiyan, A., Elango, L., & Thirumoorthy, P. (2019). Application of geospatial techniques in delineating groundwater potential zones: A case study from South India. Arabian Journal of Geosciences, 12(5). https://doi.org/10.1007/s12517-019-4289-0
- Mbilinyi, B., 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, Parts A/B/C, 32(15–18), 1074–1081. https://doi.org/10.1016/j.pce.2007.07.014
- Mechell, J., & Lesikar, B. (2008). Rainwater harvesting: Soil storage and infiltration systems. Texas FARMER Collection.
- Mugo, G. M., & Odera, P. A. (2019). Site selection for rainwater harvesting structures in Kiambu County-Kenya. The Egyptian Journal of Remote Sensing and Space Science, 22(2), 155–164. https://doi.org/10.1016/j.ejrs.2018.05.003
- Mukaromah, H. (2020). Rainwater harvesting as an alternative water source in Semarang, Indonesia: The problems and benefits. In IOP Conference Series: Earth and Environmental Science, 447(1), 012059. IOP Publishing. https://doi.org/10.1088/1755-1315/447/1/012059
- Necesito, I. V., Felix, M. L. A., Kim, L. H., Cheong, T. S., & Jeong, S. (2013). Analysis on rainwater harvesting system as a source of non-potable water for flood mitigation in Metro Manila. Journal of Wetlands Research, 15(2), 223–231. https://doi.org/10.17663/JWR.2013.15.2.223
- Office of the City Planning and Development Coordinator – Davao City. (2021). Comprehensive development plan 2018–2022, Volume 1–Ecological profile.
- Patel, D., Samal, D. R., Prieto, C., & Eslamian, S. (2021). Application of RS and GIS for locating rainwater harvesting structure systems. In Handbook of Water Harvesting and Conservation: Basic Concepts and Fundamentals (pp. 127–143). https://doi.org/10.1002/9781119478911.ch9
- Philippine Atmospheric, Geophysical and Astronomical Services Administration. (2021). Climatological normals of Davao City (1991–2020).
- Preeti, P., Shendryk, Y., & Rahman, A. (2022). Identification of suitable sites using GIS for rainwater harvesting structures to meet irrigation demand. Water, 14(21), 3480. https://doi.org/10.3390/w14213480
- Quinn, R., Rougé, C., & Stovin, V. (2021). Quantifying the performance of dual-use rainwater harvesting systems. Water Research X, 10, 100081. https://doi.org/10.1016/j.wroa.2020.100081
- Rahman, N. F. A., Awangku, A. A. H., Tai, V. C., & Shariff, S. M. (2021). Site selection of water reservoir based on weighted overlay in ARCGIS (Case Study: Bachok, Kelantan). Sci. Int, 33, 135–139.
- Rebuelta, V. Z. (2023). Water stakeholders discuss critical water problems in Davao City.
- Setiawan, O., & Nandini, R. (2022). Identification of suitable sites for rainwater harvesting using GIS-based multi-criteria approach in Nusa Penida Island, Bali Province, Indonesia. In IOP Conference Series, 1039(1), 012010. https://doi.org/10.1088/1755-1315/1039/1/012010
- Taher, J. K., Nasimi, M. N., Nasimi, M. N., & Boyce, S. E. (2022). Identifying suitable sites for rainwater harvesting using GIS & multi-criteria decision-making techniques in Badghis Province of Afghanistan. Central Asian Journal of Water Research, 8(2), 46–69. https://doi.org/10.29258/cajwr/2022-r1.v8-2/46-69.eng
- Yegizaw, E. S., Ejegu, M. A., Tolossa, A. T., Halefom, A., Andualem, T. G., Tegegne, M. A., Walle, W. M., Shibeshie, S. E., & Dirar, T. M. (2022). Geospatial and AHP approach rainwater harvesting site identification in drought-prone areas, South Gonder Zone, Northwest Ethiopia. Journal of the Indian Society of Remote Sensing, 50(7), 1321–1331. https://doi.org/10.1007/s12524-022-01528-5
ISSN 2984-7125 (Online)
ISSN 2244-4432 (Print)