Assessment of groundwater potential zones in an arid region based on catastrophe theory

Evaluation of groundwater potential is a multi-criteria and multi-level comprehensive assessment system that needs judgment of decision makers in making decision. To avoid subjectivity or the preference of decision makers in the assessment, catastrophe theory based evaluation method is proposed in this study which calculates the importance of one criterion over other by its inner mechanism and thus, avoid subjectivity. The proposed method is applied for the assessment of groundwater potential zones in the arid region of lower Balochistan province of Pakistan. The groundwater is considered as a system with five sub-systems namely, geology, soil, drainage density, slope and rainfall. Seventeen sub-system indicators of groundwater potential are selected for modeling groundwater potential zone. The catastrophe theory is applied to derive the relative weights of indicators in predicting groundwater potential. Thematic maps of sub-systems are integrated within a geographical information system and the groundwater potential zones of the integrated layer are calculated by using the weights of indicators. The results are verified by existing number of tube wells operating in the study area. It has been found that the number of tube wells is more in the area where the groundwater potential is high. The study reveals that catastrophe theory is suitable for assessing groundwater potential.

[1]  Janusz Bogdanowicz,et al.  Assessment of the Model , 2012 .

[2]  Shakeel Ahmed,et al.  Integrating geospatial and ground geophysical information as guidelines for groundwater potential zones in hard rock terrains of south India , 2012, Environmental Monitoring and Assessment.

[4]  Shushen Zhang,et al.  Assessment of a model of pollution disaster in near-shore coastal waters based on catastrophe theory , 2011 .

[5]  C. Benham Denaturation: an example of a catastrophe. II. Two-state transitions. , 1976, Journal of theoretical biology.

[6]  Vanessa Madrucci,et al.  Groundwater favorability map using GIS multicriteria data analysis on crystalline terrain, Sào Paulo State, Brazil , 2008 .

[7]  Rajesh Kumar,et al.  Remote Sensing and GIS Approach for Delineation of Groundwater Potential and Groundwater Quality Zones of Western Doon Valley, Uttarakhand, India , 2013, Journal of the Indian Society of Remote Sensing.

[8]  V. Chowdary,et al.  Integrated remote sensing and GIS‐based approach for assessing groundwater potential in West Medinipur district, West Bengal, India , 2009 .

[9]  H. Vijith Groundwater potential in the hard rock terrain of western ghats: A case study from Kottayam district, Kerala using resourcesat (IRS-P6) data and GIS techniques , 2007 .

[10]  Timothy B. Minor,et al.  Groundwater Assessment Using Remote Sensing And GIS In A Rural Groundwater Project In Ghana: Lessons Learned , 1996 .

[11]  Atiqur Rahman,et al.  Assessment of Land use/land cover Change in the North-West District of Delhi Using Remote Sensing and GIS Techniques , 2012, Journal of the Indian Society of Remote Sensing.

[12]  J. Krishnamurthy,et al.  Role of geological and geomorphological factors in ground water exploration: a study using IRS LISS data , 1995 .

[13]  N. Mondal,et al.  Deciphering potential groundwater zone in hard rock through the application of GIS , 2008 .

[14]  J. Roy,et al.  Groundwater potential modelling in a soft rock area using a GIS , 2000 .

[15]  V. Chowdary,et al.  Groundwater assessment in Salboni Block, West Bengal (India) using remote sensing, geographical information system and multi-criteria decision analysis techniques , 2010 .

[16]  K. Sankar,et al.  Evaluation of groundwater potential zones using Remote Sensing data in upper Vaigai river basin, Tamil Nadu, India , 2002 .

[17]  V. Chowdary,et al.  Groundwater management and development by integrated remote sensing and geographic information systems: prospects and constraints , 2007 .

[18]  Ching-Hsue Cheng,et al.  Evaluating a weapon system using catastrophe series based on fuzzy scales , 1996, Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium.

[19]  P. K. Sikdar,et al.  Land Use/Land Cover Changes and Groundwater Potential Zoning in and around Raniganj coal mining area, Bardhaman District, West Bengal - A GIS and Remote Sensing Approach , 2004 .

[20]  Chun Xiao,et al.  Assessment of urban water security based on catastrophe theory. , 2012, Water science and technology : a journal of the International Association on Water Pollution Research.

[21]  Y. Srinivasa Rao,et al.  Delineation of groundwater potential zones and zones of groundwater quality suitable for domestic purposes using remote sensing and GIS , 2003 .

[22]  Shao Li Assessment of flood hazard risk based on catastrophe theory in flood detention basins , 2011, 2011 International Conference on Electric Technology and Civil Engineering (ICETCE).

[23]  E. Esu,et al.  Application of remote-sensing data to groundwater exploration: A case study of the Cross River State, southeastern Nigeria , 1998 .

[24]  Mohammad Ali Ghorbani,et al.  Study of discontinuities in hydrological data using catastrophe theory , 2010 .

[25]  R. Jaiswal,et al.  Role of remote sensing and GIS techniques for generation of groundwater prospect zones towards rural development--an approach , 2003 .

[26]  Wang Xiao-jun,et al.  Catastrophe theory to assess water security and adaptation strategy in the context of environmental change , 2012, Mitigation and Adaptation Strategies for Global Change.

[27]  Tianjun Zhang,et al.  Application of the catastrophe progression method in predicting coal and gas outburst , 2009 .

[28]  Sabu Joseph,et al.  Identification of Groundwater Potential Zones of a Tropical River Basin (Kerala, India) Using Remote Sensing and GIS Techniques , 2011 .

[29]  G. Mohan,et al.  Assessment of the groundwater potential and quality in Bhatsa and Kalu river basins of Thane district, western Deccan Volcanic Province of India , 2006 .

[30]  Catastrophe theory-based risk evaluation of groundwater environment , 2008 .

[31]  K V Ravindran,et al.  groundwater prospects of shahbad tehsil, baran district, eastern rajasthan: a remote sensing approach , 1997 .