Pemanfaatan Data Penginderaan Jauh untuk Pemetaan Potensi Air Tanah di Kota Denpasar dan Badung

Renata Clarice Minerva; R. Suyarto; Wiyanti Wiyanti

Renata Clarice Minerva Program Studi Agroekoteknologi, Fakultas Pertanian, Universitas Udayana, Jln PB. Sudirman Denpasar Bali 80232, Indonesia
R. Suyarto Program Studi Agroekoteknologi, Fakultas Pertanian, Universitas Udayana, Jln PB. Sudirman Denpasar Bali 80232, Indonesia
Wiyanti Wiyanti Program Studi Agroekoteknologi, Fakultas Pertanian, Universitas Udayana, Jln PB. Sudirman Denpasar Bali 80232, Indonesia

Abstract

Groundwater need is always increasing due to population growth, climate change, economic growth, and uneven water distribution, especially in the densely populated areas like Denpasar and Badung, which also has a large area of built-up land. Excessive and continuos use of groundwater can cause a decrease in its quality and quantity. Such conditions make the research of groundwater potential is important to do. The purpose of this research is to determine the distribution of groundwater potential in the Denpasar and Badung regions and compare the results with the actual conditions. The methods that are used in this research are the calculation of vegetation index, rainfall data, and DEM data using Remote Sensing. This research results in the form of maps of rainfall, slope, elevation, and maps of NDMI, NDWI, SAVI, GNDVI, NDVI, BSI, dan NDBI. The research showed that groundwater potential in the location is divided into five classes, which are Very low, low, medium, high, and very high. Areas with very low groundwater potential are dominated by West Denpasar, North Denpasar, and parts of South Denpasar. the low class dominates the Kuta area, medium class is spread throughout the region, high class dominates the North Kuta area, while the very high class dominates the lower part of South Denpasar and some parts of North Kuta.

References

Agarwal, R. & Garg, P. K. (2016). Remote Sensing and GIS Based Groundwater Potential & Recharge Zones Mapping Using Multi-Criteria Decision Making Technique. Water Resources Management, 30(1): 243–260.
Asdak, C. (2010). Hidrologi dan Pengelolaan Daerah Aliran Air Sungai: Edisi Revisi Kelima. Yogyakarta: Gadjah Mada University Press Yogyakarta.
Duan, H., Deng, Z., Deng, F., & Wang, D. 2016. Assessment of Groundwater Potential Based on Multicriteria Decision Making Model and Decision Tree Algorithms. Mathematical Problems in Engineering.
Ebrahimi, H., Ghazavi, R., & Karimi, H. (2016). Estimation of Groundwater Recharge from the Rainfall and Irrigation in an Arid Environment Using Inverse Modeling Approach and RS. Water Resources Management, 30(6), 1939-1951.
Gao. 1996. NDWI – A Normalized Difference Water Index for Remote Sensing of Vegetation Liquid Water from Space. Remote Sensing of Environment. 58(3): 257-266
Lindgreen, D. T. (1985). Land Use Planning and Remote Sensing. Martinus Nijhoff Publisher, Doldrecht. Halaman 2.
Mandal, U., Sahoo, S., Munusamy, S. B., Dhar, A., Panda, S. N., Kar, A., & Mishra, P. (2016). Delineation of Groundwater Potential Zones of Coastal Groundwater Basin Using Multi-Criteria Decision Making Technique. Water Resources Management, 30, 4293–4310.
Sahu, A. (2014). Identification and mapping of the water-logged areas in Purba Medinipur part of Keleghai river basin, India: RS and GIS methods. International Journal of Advanced Geosciences, 2(1), 45-58.
Selvam, S., Dar, F. A., Magesh, N. S., Singaraja, C., Venkatramanan, S., & Chung, S. Y. (2016). Application of remote sensing and GIS for delineating groundwater recharge potential zones of Kovilpatti Municipality, Tamil Nadu using IF technique. Earth Science Informatics, 9, 137-150.
Sudarmadji, P., dan M. Widy astuti. (2014). Pengelolaan Sumberdaya Air Terpadu. Yogyakarta: Gadjah Mada University Press.