Groundwater targeting using remote sensing, geographical information system and analytical hierarchy process method in hard rock aquifer system, Karur district, Tamil Nadu, India

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• 作者：J. Muralitharan ; K. Palanivel
• 关键词：Groundwater targeting ; Remote sensing ; GIS ; AHP ; Hard rock aquifer system
• 刊名：Earth Science Informatics
• 出版年：2015
• 出版时间：December 2015
• 年：2015
• 卷：8
• 期：4
• 页码：827-842
• 全文大小：1,919 KB
• 参考文献：Anbazhagan S, Aschenbrenner F, Knoblich K (2001) Comparison of aquifer parameters with lineaments derived from remotely sensed data in Kinzig basin, Germany. XXXI. IAH congress: New approaches to characterising groundwater flow, Munich, 10-4 September, Vol. 2, pp. 883-86
  Bahuguna IM, Nayak S, Tamilarasan V, Moses J (2003) Groundwater prospective zones in basaltic terrain using remote sensing. J Indian Soc Remote Sens 31(2):107-18CrossRef
  CGWB (2008) District groundwater brochure, karur district, Tamil Nadu. CGWB, Ministry of Water Resources, Faridabad, pp. 1-3
  Charon JE (1974) Hydrogeological applications of ERTS satellite imagery. In: Proc UN/FAO regional seminar on remote sensing of earth resources and environment. CommonwSciCounc, Cairo, pp. 439-56
  Choudhury PR (1999). Integrated remote sensing and GIS techniques for groundwater studies in part of Betwa basin. Ph.D. Thesis (unpublished). Department of Earth Sciences, University of Roorkee
  Chowdhury A, Jha MK, Chowdary VM, Mal BC (2009) Integrated remote sensing and GIS-based approach for assessing groundwater potential in West Medinipur district, West Bengal, India. Int J Remote Sens 30(1):231-50CrossRef
  Edet AE, Okereke CS, Teme SC, Esu EO (1998) Application of remote sensing data to groundwater exploration: A case study of the cross-river state, South eastern Nigeria. Hydrogeol J 6:394-04CrossRef
  El-Baz F, Himida I, Kusky T, Fielding L (1995) Groundwater potential of the Sinai Peninsula, Egypt. United States Agency for International Development, Cairo
  El-Shazly EM, El-Raikaiby NM, El-Kassas IA (1983) Groundwater investigation of WadiAraba area, eastern desert of Egypt, using landsat imagery. Proceedings of the 17th Symposium on Remote Sensing of the Environment, Michigan 9(13):003-013
  Harinarayana P, Gopalakrishna GS, Balasubramanaian A (2000) Remote sensing data for groundwater development and management in Keralapura watersheds of Cauvery basin, Karnataka, India. Indian Miner 34(2):11-7
  Jagadeeswara Rao P, Harikrishna P, Suryaprakasa Rao B (2004) An integrated study on groundwater resource of PeddaGedda watershed. J IndSoc Remote Sens 18(1&2):9-4
  Jayakumar R, Ramasamy, SM (1996) Groundwater targeting in hard rock terrain through geomorphic mapping: a case study in part of South India. Asian Pac Remote Sens GIS J, Vol. 8, No. 2, pp. 17-23
  Jha MK, Chowdary VM, Chowdhury A (2010) Groundwater assessment in Salboni Block, West Bengal (India) using remote sensing, geographical information system and multi-criteria decision analysis techniques. Hydrogeol J 18(7):1713-728CrossRef
  Kamal K, Hamid RN (2011) Groundwater exploration using remote sensing and geographic information systems in a semi-arid area (Southwest of Urmieh, Northwest of Iran). Arab J Geosci. doi:10.-007/?s12517-011-0414-4
  Kukillaya JP, Padmanbhan K, Krishnan E (1999) Use and limitations of short and medium duration pumping tests in understanding hard rock aquifers—an example from Kerala. J Geol Soc India 54:267-77
  Kumanan CJ, Ramasamy SM (2003) Fractures and the transmissivity behavior of the hard rock aquifer systems in parts of Western Ghats, Tamil Nadu, India. Escap Water Resour J Bangkok (June):53-9
  Kumanan CJ, Ramasamy SM, Palanivel K (2000) A new Genetic GIS Based Groundwater Targetting in Theni, Madurai, Dindigul Districts of Tamil Nadu, India. State Conf. on Groundwater exploration Techniques, 30-31, March, National College, Tiruchirappalli. pp. 270-271
  Mabee SB, Hardcastle KC, Wise DU (1994) A method of collecting and analyzing lineaments for regional scale fractured bedrock aquifer studies. Ground Water 32:884-94CrossRef
  Madrucci V, Taioli F, de Araújo CC (2008) Groundwater favorability map using GIS multicriteria data analysis on crystalline terrain, S?o Paulo State, Brazil. J Hydrol 357:153-73CrossRef
  Nag SK (2005) Application of lineament density and hydrogeomorphology to delineate groundwater potential zones of Baghmundi block in Purulia district, West Bengal, J Indian Soc Remote Sens, Vol. 33, No. 4, pp. 521-29CrossRef
  Nag SK, Anindita L (2011) Integrated approach using Remote Sensing and GIS techniques for delineating groundwater potential zones in Dwarakeswar watershed, Bankuradistict, West Bengal, International. J Geomatics Geosci 2(2):430-42
  Nag SK, Ghosh P (2012) Delineation of groundwater potential zone in Chhatna Block, Bankura District, West Bengal, India using remote sensing and GIS techniques. Environ Earth Sci:1-3. doi:10.-007/?s12665-012-1713-0
  Palanivel K (2000) Remote sensing and GIS in water resources prospecting and conservation—parts of Western Ghats, Tamil Nadu, India. Ph.D. Thesis, Bharathidasan University, Tiruchirappalli
  Palanivel K, Ramasamy SM (2001) Folded structures and groundwater Flow in Hard rock Aquifer Systems in parts of Western ghats, Tamil Nadu, India - IGC - 2002, Feb. 20-22 2002, International Groundwater Conference on “Sustainable Development an
• 作者单位：J. Muralitharan (1)
  K. Palanivel (2)
  
  1. Department of Geology, Gondar University, Gondar, Ethiopia
  2. Centre for Remote Sensing, Bharathidasan University, Tiruchirappalli, 620 023, Tamil Nadu, India
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Earth sciences
  Computer Applications in Geosciences
  Geosciences
  Simulation and Modeling
  
• 出版者：Springer Berlin Heidelberg
• ISSN：1865-0481

文摘

Remote sensing (RS) and Geographic Information System (GIS) are potential tools for competent planning and administration of essential groundwater resources. In this study, a typical methodology is proposed to delineate groundwater target zones using integrated RS, GIS and Analytical Hierarchy Process (AHP) method. The developed methodology is confirmed by a case study in Karur district of Tamil Nadu, Southern India. Seven thematic layers, viz., Lithology, Lineament Density, Geomorphology, Slope, Post-Monsoon Water Level, Drainage Density and Landuse/Land cover were considered in this study. Selected seven thematic layers and their features were assigned suitable weights on the Saaty’s scale according to their virtual significance in groundwater incidence. The assigned weights of the thematic layers and their features were then normalized by using AHP. Finally, the selected seven thematic maps were incorporated by weighted linear combination method in a GIS environment to produce a groundwater targeting map. Thus, five groundwater targeting zones were identified and demarcated in the study area, viz., ‘very good- ‘good- ‘moderate- ‘poor-and ‘very poor- The groundwater targeting map was finally verified using the well discharge data and the result was found acceptable. The ultimate result depicts the favorable groundwater targeting zones in the study area and can be helpful in better planning and managing of groundwater resources particularly in hard rock terrains. Keywords Groundwater targeting Remote sensing GIS AHP Hard rock aquifer system