IGEOS 4 th IGEOS International Geography Seminar and

IGEOS 4 th IGEOS : International Geography Seminar and PIT IGI 2020 APPLICATION OF REMOTE SENSING AND GIS TO IDENTIFY THE VULNERABILITY OF GROUND-WATER POLLUTION IN TOPOGRAPHIC KARTS by Ketut Prasetyo and Yulinar DEPARTMENT OF GEOGRAPHIC EDUCATIONAL FACULTY OF LAW AND SOCIAL SIENCES EMAIL : ketutprasetyo@unesa. ac. id Surabaya State University 2020

v. Karst is a potential natural resource because most of the time it can store large amounts of water. Introduction v. Water is a major requirement in the karst region, karstic aquifers that have different hydrogeological characteristics from other aquifers make the karst region poor on surface streams. v. Karst area has abundant water potential because of the drainage system where most surface water enters underground rivers through a pit which makes underground water in the karst area vulnerable to pollution. v. The purpose of this study was to determine the level of vulnerability of karst underground water pollution based on remote sensing data and GIS in the Rengel. Tuban Indonesia karst region.

Literature Review NAME TITLE RESERAHED RESULT Tri Rafika Diyah Indartin (2015) Vulnerability and Risk Assessment of Groundwater Pollution in Karst Areas Assessment of the risk of groundwater pollution is one of the alternatives in an effort to protect water quality Tjahyo Nugroho Adji, M. Analysis of Karst Aquifer Development Level in Gunung Sewu Asyroful Mujib, Hendy Karst Area, Yogyakarta Special Region and Karst Rengel, Tuban, Fatchurohman, Igor Yoga East Java Based on Hydrograph Analysis Bahtiar 1 (2014) The hydrograph analysis proposed by Rashed (2012) has been tried to be applied in the Karst Gunung Sewu and Karst Rengel, Tuban during the rainy season, so that it can be identified spatially and temporally the difference in the degree of karstification that occurs in the two karst areas. Eko Budiyanto (2018) Remote Sensing and Geographical Information System for Vulnerability and Risk Assessment of Gunungsewu Karst Groundwater in Gunungkidul Regency Produce a vulnerability model for underground water pollution in the Gunungwesu karst area, which can be applied in other karst areas. MY RESEARHED Application Of Remote Sensing And Gis To Identify The Vulnerability Of Ground-water Pollution In Topographic Karts Combinaed of -RS-GIS-and analisis regresi logistik is result of map distribution patern of eacch level of vulnerability in the karst region.

1. This research is a quantitative research type, the o Method o o v v o location of the study was conducted in the Rengel karst region in Tuban Regency, East Java Province, Indonesia. 2. Sampling uses a systematic random sampling method based on the spekral index which from the population of Landsat 8 OLI and GDEM ASTER remote sensing image data in the form of pixels. 
 3. Sources of data obtained from this study are primary and secondary data. Primary data were obtained from direct field data observations in the study area, while Secondary data were obtained from the Environmental Services (DLH) data, satellite imagery from the USGS (United States Geological Survey). 4. Data analysis techniques in this study used image interpretation and logistic regression tests with. The results of the logistic regression model calculations are compared with conditions obtained from observational measurements in the field

RESULT The results of research on the use of remote sensing imagery and GIS to identify the Rengel karst region vulnerability of shows the distribution Rengel karst pattern of each level of groundwater pollution in Tuban vulnerability in the karst region Regency are as follows: Shows that areas with *high vulnerability are symbolized in red, • medium vulnerability in yellow and * low vulnerability in green.

Discussion 1 The results of the interpretation test of 30 samples in the field showed the suitability of the land in the research area 73. 3. According to Skidmore (in Budiyanto, 2018) states that the accuracy of the assessment can be accepted if the calculation results are greater than 60. 2. Identification of groundwater pollution by interpreting images and using logistical analysis: land cover, presence of soil cover and thickness with the accuracy of the results of the interpretation of pollution by adding up the results of the vulnerability assessment (16 + 14 + 16 = 60). This means that in the research area the groundwater has been contaminated 3. The use and cover of vegetation in the study area is strongly influenced by the season 4. The area of karst rock outcrop increases with the loss of cover vegetation. There are many rocky empty lands on slopes with steep slopes Land Conditions. Location of Semanding District. (Photo source: field observation, December 2018) 5. Logistic Regression Analysis Helps In Sharpening Test Result Interpretation

Conclusion v. The vulnerability assessment of groundwater pollution is one alternative in an effort to protect groundwater quality. v. Groundwater vulnerability assessment will provide information about which 15 locations naturally have a high level of sensitivity to changes and human activities on the surface of the earth. v. By interpretation of remote sensing data is very useful in identifying the distribution of pollutant sources which is done through the interpretation of land uses that are in certain locations. Furthermore, by carrying out the process of weighting, assessment, and mapping using the GIS application, information will be obtained about which locations have the highest possibility of pollution. v. The study showed that the average researched area was classified as vulnerable to pollution

References [1] Budiyanto, Eko. 2018. Remote Sensing and Systems Geographic Information for Valuation Vulnerability and Risk of Water Pollution Gunungsewu Karst Land in Regency Gunungkidul. Yogyakarta. p. 15 [2] Budiyanto, Eko. 2016. Geographic Information Systems With Quantum Gis. ANDI Yogyakarta. p. 2 [3]Danoedoro, P. , 2012, Introduction to Remote Sensing Digital, Yogyakarta: C. V Andi Offset. p. 1 [4] Indartin, 2015. Vulnerability and Risk Assessment Groundwater Pollution in the Karst Region. p. 4 [5] Widyastuti, M. , et al. 2012. Groundwater Vulnerability. Against Pollution of the Affix Area 16 Ponor in the Gunung Sewu Karst (Study in Underground River Bribin. Faculty of Geography UGM Departmen Environmental Geography. , Faculty of Geograph. UGM Department of Geological Engineering. p. 129