Land subsidence due to groundwater over-exploitation has already become a problem in many countries and also some cities in Indonesia. Although there have been many studies that explain the occurrence of land subsidence in various places, there is still limited research that discusses prediction techniques or mapping the potential of land subsidence in an area. This research aims to determine the susceptibility zone of land subsidence due to groundwater over-exploitation in Yogyakarta-Sleman Groundwater Basin. In this study, the land subsidence susceptibility will be determined based on three parameters namely aquifer stratification, a combination of aquitard and aquiclude layers thickness, and compressibility potential of aquitard and aquiclude layers. The data used in this research is secondary data of 126 drill logs along with their descriptions which are then processed to generate litho-stratigraphy modeling and are also processed using Geographic Information System (GIS) software for the interpolation and extrapolation also to generate zoning maps of each parameter. After that, all three parameters were overlayed by applying Analytic Hierarchy Process (AHP) weighting method to produce a susceptibility map of land subsidence due to groundwater over-exploitation. A prediction of land subsidence hazard map is also created by overlaying the susceptibility with relatively groundwater pumping rate zones. The research reveals the central part of the basin belonged to a severely susceptible and hazardous zone. According to this research, it can be concluded that there is a potential for land subsidence due to groundwater over-exploitation in the Yogyakarta-Sleman groundwater basin area, so the management to control of the groundwater usage is needed to ensure sustainable use of groundwater and protection from land subsidence occurrence.
Southern region of Banjarnegara Regency, Central Java, Indonesia have been experiencing water scarcity throughout dry season every year due to meteorological and geological condition. Meteorological drought in dry season have been recorded since 1984. About 85,000 people are affected. Local authorities were forced to send clean water aid routinely. This study aim to delineate groundwater potential zones using remote sensing, Geographical Information System (GIS), and Analytic Hierarchy Process (AHP). This study evaluate groundwater potential zones using 5 factors involving lineament, lithology, slope, drainage, and rainfall. Digital Elevation Model (DEM) from DEMNAS (published by Indonesian Geospatial Agency) was used to generate lineament delineation and slope map. Hydrography data provided by Indonesian Geospatial Agency was used to generate drainage density. Geological maps which were generated from remote sensing interpretation were provided from Geological Survey Center of Indonesia. Rainfall data were provided by BPS-Statistics of Banjarnegara. 52 springs and 2 bore wells data were used for result validation. All 5 thematic layers were prepared in GIS. All factors and its classes were assigned weights using AHP techniques and normalization of weights was conducted through the AHP. Groundwater potential zones map were generated, the results was classified into five zones as very high, high, moderate, low, and very low. The zones covered of 1.02 km2 (1.18%), 14.49 km2 (16.80%), 33.65 km2 (38.99%), 37.12 km2 (43.02%), and 1529 m2 (0.00%) of study area respectively. Result validation by comparing the AHP map values with discharge of springs and bore wells showed promising result.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.