Groundwater Potency Analysis Using Remote Sensing and Analytical Hierarchy Process To Overcome Drought In Rembang Regency, Indonesia

https://doi.org/10.22146/ijg.77889

Thomas Triadi Putranto(1*), Ady Rieo Wahyu Mustiono(2), Ahmad Syauqi Hidayatillah(3)

(1) Geological Engineering, Diponegoro University, Indonesia
(2) Geological Engineering Department. Diponegoro University, Indonesia
(3) Geological Engineering Department, Diponegoro University, Indonesia
(*) Corresponding Author

Abstract


Water is an indispensable need for all living beings, including humans, who require this vital resource for consumption, bathing, and agricultural irrigation. One of the sources of clean water is groundwater, which meets 80% of the drinking needs. However, only 82.1% of the population in Central Java has access to clean water, while the remaining 17.9% have limited accessibility. This condition was caused by the prevalence of droughts, particularly in Rembang Regency, indicating that several efforts are needed to overcome this problem. Therefore, this study aims to analyze the groundwater potential in Rembang Regency using remote sensing and Analytical Hierarchy Process (AHP) methods. The remote sensing technique was used to determine the lithology, hydrogeology, lineament density, slope, rainfall, vegetation cover, and land use of the area, while the AHP method was utilized to assess groundwater potential. The results showed that the hydrogeology parameter had the greatest influence with a weight of 21.8%, followed by lithology (15.8%), rainfall (15.1%), vegetation cover (13.5%), land use (10.9%), lineament density (14%), and slope (9.4%). These findings were then validated with existing points of interest, including dug wells, deep wells, and reservoirs. The analysis results showed that the study area can be divided into 4 zones based on the groundwater potential, namely very low (1.2 – 2.24), low (2.24 – 3.48), moderate (3.48 – 4.72), and high (4.72 – 5.96) with areas of 0.19 km2, 234.8 km2,173.4 km2, and 51.9 km2, respectively. Furthermore, based on the validation, 90 out of 108 (83%) interest points were in line with the groundwater potential map zones.


Keywords


Rembang; Drought; Remote sensing; Groundwater potential

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References

Aggarwal, M., Saravanan, S., Jennifer, J.J., & Abijith, D. (2018). Delineation of Groundwater Potential Zones for Hard Rock Region in Karnataka Using AHP and GIS. Advances in Remote Sensing and Geo Informatics Applications.

Arunbose, S., Srinivas, Y., Rajkumar, S., Nair, N.C., & Kaliraj, S. (2021). Remote sensing, GIS and AHP techniques based investigation of groundwater potential zones in the Karumeniyar river basin, Tamil Nadu, southern India. Groundwater for Sustainable Development, 14, 100586.

Asdak, C. (2010). Hydrology and Watershed Management. Gadjah Mada University Press. Yogyakarta.

Azizi, H., Asupyani, H., Akbar, F., Sulaksana, N. (2020). Landslide Zoning with GIS Analysis Method: Case Study Cipelah And Its Surroundings Area, Rancabali Subdistrict, Bandung Regency, West Java. IOP Conference Series: Earth and Environmental Science, 412, 012023.

Central Bureau of Statistics Central Java. 2019. Central Java Province Clean Water Statistics. Central Bureau of Statistics Semarang.

Central Bureau of Statistics of the Republic of Indonesia. Clean Water Statistics 2014-2019. Central Bureau of Statistics. Jakarta.

Central Bureau of Statistics Rembang. 2017. Rembang Regency in Figures. Central Bureau of Statistics. Rembang.

Central Bureau of Statistics Rembang. 2018. Rembang Regency in Figures. Central Bureau of Statistics. Rembang.

Central Bureau of Statistics Rembang. 2019. Rembang Regency in Figures. Central Bureau of Statistics. Rembang.

Central Bureau of Statistics Rembang. 2020. Rembang Regency in Figures. Central Bureau of Statistics. Rembang.

Central Bureau of Statistics Rembang. 2021. Rembang Regency in Figures. Central Bureau of Statistics. Rembang.

Dar, I.A., Sankar, K.S., & Dar, M.A. (2011). Deciphering groundwater potential zones in hard rock terrain using geospatial technology. Environmental Monitoring and Assessment, 173, 597-610.

Directorate General of Reforestation and Land Rehabilitation., 1998. Guidelines for Preparation of Field Engineering Plans for Land Rehabilitation and Soil Conservation. Ministry of Forestry of the Republic of Indonesia (Pedoman Penyusunan Rencana Teknik Lapangan Rehabilitasi Lahan dan Konservasi Tanah. Departemen Kehutanan Republik Indonesia). Jakarta.

Ferozur, R.M., Jahan, C.S., Arefin, R., & Mazumder, Q. (2019). Groundwater potentiality study in drought prone barind tract, NW Bangladesh using remote sensing and GIS. Groundwater for Sustainable Development, 8, 205-2015

Kadar, D. & Sudjino. (1983). Geological Map Sheet of Rembang Scale 1: 100,000, Geological Research and Development Center, Bandung.

Khan, A., Govil, H., Taloor, A.K., & Kumar, G. (2020). Identification of artificial groundwater recharge sites in parts of Yamuna River basin India based on Remote Sensing and Geographical Information System. Groundwater for Sustainable Development, 11, 100415.

Kumar, A., & Krishna, A.P. (2018). Assessment of groundwater potential zones in coal mining impacted hard-rock terrain of India by integrating geospatial and analytic hierarchy process (AHP) approach. Geocarto International, 33, 105 - 129.

Magesh ,S ., Chandrasekar, N. & Prince, J. (2012). Delineation of groundwater potential zones in Theni district, Tamil Nadu, using remote sensing, GIS and MIF techniques. Geoscience Frontiers. 3. 189-196.

Malik, M.I., Bhat, M.S., & Najar, S.A. (2016). Remote Sensing and GIS based groundwater potential mapping for sustainable water resource management of Lidder catchment in Kashmir Valley, India. Journal of the Geological Society of India, 87, 716-726.

Mir, S., Bhat, M., Rather, Dr. G., & Mattoo, D. (2021). Groundwater Potential Zonation using Integration of Remote Sensing and AHP/ANP Approach in North Kashmir, Western Himalaya, India. Remote Sensing of Land, 5, 41-58.

Mitra, R., & Roy, D. (2022). Delineation of groundwater potential zones through the integration of remote sensing, geographic information system, and multi-criteria decision-making technique in the sub-Himalayan foothills region, India. International Journal of Energy and Water Resources, 1 - 21.

Nandhiskumar, L., Karthick, M., Arul, P.A., Lokpal, B.D.D., Revathy, S.S., & Sureshbabu, S. (2014). Mapping The Groundwater Potrential Zone for Bengaluru Urban District. Journal Computer Science and Information Technologies, 5, 1427-1431.

Nithya, C., Srinivas, Y., Magesh, N.S., & Kaliraj, S. (2019). Assessment of groundwater potential zones in Chittar basin, Southern India using GIS based AHP technique. Remote Sensing Applications: Society and Environment, 15, 100248.

Okta, D. (2020). Experiencing Drought, BPBD Rembang Distributes Clean Water to 11 Districts. https://mitrapost.com/2020/09/12/mengalami-kekeringan-bpbd-rembang-salurkan-air-bersih-ke-11-kecamatan/ (Accessed November 20, 2020).

Permadi, B. (1992). AHP Inter-University Center – Economic Studies. Jakarta. Universitas Indonesia.

Purwandhi, S. H. (2006). Digital Image Interpretation, Gramedia Widiasarana, Jakarta.

Putra, A.R. (2018). Analysis of Groundwater Potential in the Brantas Groundwater Basin. Thesis. Ten November Institute of Technology. Surabaya

Rahmati, O., Nazari Samani, A., Mahdavi, M., Pourghasemi, H.R., & Zeinivand, H. (2015). Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS. Arabian Journal of Geosciences, 8, 7059-7071.

Saaty, T. L. (1980). The Analytic Hierarchy Process. New York . McGraw- Hill.

Saadi, O., Nouayti, N., Nouayti, A., Dimane, F., & el Hairchi, K. (2021). Application of remote sensing data and geographic information system for identifying potential areas of groundwater storage in middle Moulouya Basin of Morocco. Groundwater for Sustainable Development, 14, 100639.

Said, H. D. & Sukrisno. (1988). Hydrogeological Map of Indonesia Sheet IV Semarang Scale 1: 250,000. Geological Research and Development Center. Bandung.

Saravanan, S. (2012). Identification of Artificial Recharge Sites in a Hard Rock Terrain using Remote Sensing and GIS. International Journal of Earth Science and Engineering, 5, 1590-1598.

Saravanan, S., Saranya, T., Abijith, D., Jacinth, J.J., & Singh, L. (2021). Delineation of groundwater potential zones for Arkavathi sub-watershed, Karnataka, India using Remote Sensing and GIS. Environmental Challenges, 5, 100380.

Sarma, B., & Saraf, A.K. 2002. Study of Landuse Groundwater Relationship Using An Integrated Remote Sensing and GIS Approach. Geospatial Word. India.

Suganthi, S., Lakshmanan, E., Subramanian, S. (2013). Groundwater potential zonation by Remote Sensing and GIS techniques and its relation to the Groundwater level in the Coastal part of the Arani and Koratalai River Basin, Southern India. Earth Sciences Research Journal, 17, 87-95.

Thapa, R., Gupta, S., Kaur, H. (2017). Assessment of groundwater potential zones using multi-influencing factor (MIF) and GIS: a case study from Birbhum district, West Bengal. Applied Water Science, 7, 1 - 15.



DOI: https://doi.org/10.22146/ijg.77889

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Accredited Journal, Based on Decree of the Minister of Research, Technology and Higher Education, Republic of Indonesia Number 225/E/KPT/2022, Vol 54 No 1 the Year 2022 - Vol 58 No 2 the Year 2026 (accreditation certificate download)

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