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Hydrogeology Journal

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16.03.2021 | Paper

Delineation of groundwater potential zones using a parsimonious concept based on catastrophe theory and analytical hierarchy process

verfasst von: M. Shahinuzzaman, M. Nozibul Haque, Shamsuddin Shahid

Erschienen in: Hydrogeology Journal | Ausgabe 3/2021

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Abstract

A cost-effective “parsimonious” approach to delineating groundwater potential zones is proposed, based on catastrophe theory (CT) and analytical hierarchy process (AHP) in a geographic information system (GIS). Eleven indicators that influence groundwater storage (slope, drainage density, surface-water body (proximity), soil permeability, aquitard thickness, aquifer thickness, hydraulic conductivity, specific yield, recharge, aquitard resistivity and aquifer resistivity) were prepared. The suitable weights of the factors and the index values of the features of the factors were normalized using AHP and CT multicriteria decision analysis (MCDA) techniques for the development of a groundwater potential index (GWPI) map. Finally, the relative sensitivity of the factors was evaluated to develop a parsimonious groundwater potential index (P-GWPI) map using the most sensitive themes. GWPI and P-GWPI maps were validated using 14-year average annual post-monsoon depth to groundwater level data of 36 monitoring wells in a study area in Bangladesh. The generated GWPI map classified the study area as moderately good, good and very good groundwater potential covering an area of 19.5, 40.3 and 40.2% respectively. Subsequently, a modified GWPI map was developed using effective weights derived from single-parameter sensitivity analysis. The P-GWPI map developed using the most sensitive factors categorized the groundwater potential zones as moderately good (13.0%), good (38.2%) and very good (48.8%). The results of this study can serve as guidelines for future groundwater exploration, planning and management of the area, and the methodology used can also be easily adopted in other similar and data-scarce areas.

Vorheriger Artikel Quantifying stratigraphic uncertainty in groundwater modelling for infrastructure design

Nächster Artikel Evaluation of the influence of river bank infiltration on groundwater in an inland alluvial fan using spectral analysis and environmental tracers

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Abuzied SM, Alrefaee HA (2017) Mapping of groundwater prospective zones integrating remote sensing, geographic information systems and geophysical techniques in El-Qaà plain area, Egypt. Hydrogeol J 25:2067–2088. https://doi.org/10.1007/s10040-017-1603-3CrossRef

Águila JF, Samper J, Pisani B (2019) Parametric and numerical analysis of the estimation of groundwater recharge from water-table fluctuations in heterogeneous unconfined aquifers. Hydrogeol J 27:1309–1328. https://doi.org/10.1007/s10040-018-1908-xCrossRef

Ahmed K, Shahid S, Harun SB, Ismail T, Nawaz N, Shamsudin S (2015) Assessment of groundwater potential zones in an arid region based on catastrophe theory. Earth Sci Inform 8(3):539–549. https://doi.org/10.1007/s12145-014-0173-3CrossRef

Al-Abadi AM, Shahid S (2015) A comparison between index of entropy and catastrophe theory methods for mapping groundwater potential in an arid region. Environ Monitor Assess 187(9):576. https://doi.org/10.1007/s10661-015-4801-2CrossRef

Al-Abadi AM, Shahid S, Al-Ali AK (2016) A GIS-based integration of catastrophe theory and analytical hierarchy process for mapping flood susceptibility: a case study of Teeb area, southern Iraq. Environ Earth Sci 75:687. https://doi.org/10.1007/s12665-016-5523-7

Alam MM (2010) Farakka Barrage and its impact on agriculture and environment: a geo-environmental study in the Ganges-Kobadak Irrigation Project area. PhD Thesis, National University, Gazipur, Bangladesh

Arulbalaji P, Padmalal D, Sreelash K (2019) GIS and AHP techniques-based delineation of groundwater potential zones: a case study from southern Western Ghats, India. Sci Rep 9:2082. https://doi.org/10.1038/s41598-019-38567-xCrossRef

BARC (1988) Agro ecological zones (AEZ) inventory map, scale: 1:250,000. Bangladesh Agricultural Research Council, Dhaka

BBS (Bangladesh Bureau of Statistics) (2011) Population and housing census. BBS, Statistics and Informatics Division, Ministry of Planning, Dahka

BBS (Bangladesh Bureau of Statistics) (2017) Bangladesh Statistics. Statistics and Informatics Division (SID), Ministry of Planning. Government of the People’s Republic of Bangladesh, Dhaka

BGS (British Geological Survey) and DPHE (Department of Public Health Engineering) (2001) Arsenic contamination of groundwater in Bangladesh. In: Kinniburgh DG, Smedley PL, editors. BGS Technical Report WC/00/19 (Vol 2, Final Report). British Geological Survey, Keyworth

BWDB (2000) Environmental baseline of Gorai River Restoration Project, EGIS II. BWDB, Dhaka, pp 190

Babiker IS, Mohammed MAA, Hiyama T, Kato K (2005) A GIS-based DRATIC model for assessing aquifer vulnerability in Kakamigahara Heights, Gifu prefecture, central Japan. Sci Total Environ 345:127–140CrossRef

Benjmel K, Amraoui F, Boutaleb S, Ouchchen M, Tahiri A, Touab A (2020) Mapping of groundwater potential zones in crystalline terrain using remote sensing, GIS techniques, and multicriteria data analysis (case of the Ighrem region, Western Anti-Atlas, Morocco). Water 12:471CrossRef

Beven KJ (1993) Prophecy, reality and uncertainty in distributed hydrological modeling. Adv Water Resour 16(1):41–51CrossRef

Beven K (2006) A manifesto for the equifinality thesis. J Hydrol 320(1–2):18–36CrossRef

Bierkens MFP, Wada Y (2019) Non-renewable groundwater use and groundwater depletion: a review. Environ Res Lett 14(6). https://doi.org/10.1088/1748-9326/ab1a5f

Biswajit D, Pal C P, Malik S and Chakraborty R (2018) Modeling groundwater potential zones of Puruliya district, West Bengal, India using remote sensing and GIS techniques. Geology, Ecology and Landscapes 3(3):223–237. https://doi.org/10.1080/24749508.2018.1555740

Bobachev C (2002) IPI2Win, a windows software for an automatic interpretation of resistivity sounding data. PhD Thesis, Moscow State University, Moscow, Russia

Carr M, Zwick P (2007) Smart land-use analysis: the LUCIS model. ESRI, Redlands, CA

Chen YF, Yin CF, Lu GF (2006) The catastrophic model of water bloom: a case study on Lake Chaohu. Acta Ecol Sin 26:878–883

Cheng CH, Liu YH, Lin Y (1996) Evaluating a weapon system using catastrophe series based on fuzzy scales, In: Soft computing in intelligent systems and information processing, Proceedings of the 1996 Asian fuzzy systems symposium, pp. 212–217. https://doi.org/10.1109/afss.1996.583593

Chowdary VM, Chakraborthy D, Jeyaram A, Krishna Murthy YVN, Sharma JR, Dadhwal VK (2013) Multi-criteria decision-making approach for watershed prioritization using analytic hierarchy process technique and GIS. Water Resour Manag 27(10):3555–3571. https://doi.org/10.1007/s11269-013-0364-6CrossRef

Chowdhury MMR, Keramat M, Haque MN, Hasan MAFMR (2003) Computer simulation of lithologs for the evaluation of groundwater resources in Nawabganj district, Bangladesh. J Bangladesh Acad Sci 27(2):97–105

Clark L (1988) Pumping test for aquifer evaluation and protection: water wells and boreholes. Open University press. Milton Keynes, UK, 180 pp

Das SC (2000) Draught in Bangladesh: its impact and mitigation. J Bangladesh Natl Geograph Assoc 21–26(1–2):45–56

Das B, Pal CP, Malik S, Chakraborty R (2018) Modeling groundwater potential zones of Puruliya district, West Bengal, India using remote sensing and GIS techniques. Geol Ecol Landscapes 3(3):223–237. https://doi.org/10.1080/24749508.2018.1555740CrossRef

Eden RN, Hazel CP (1973) Computer and graphical analysis of variable discharge pumping test of wells, Institute of Engineers. Civil Engineering Transactions, Australia

Elwa HH, El Qaddah AA (2011) Groundwater potentiality mapping in the Sinai Peninsula, Egypt, using remote sensing and GIS watershed-based modeling. Hydrogeol J 19:613–628. https://doi.org/10.1007/s10040-011-0703-8CrossRef

FAO (2020) Regional perspectives: Bangladesh. FAO Regional Office for Asia and the Pacific. Food and Agriculture Organization. http://www.fao.org/asiapacific/perspectives/agricultural-statistics/global-strategy/results-in-the-region/bangladesh/en/. Accessed December 2020

Fenta AA, Kifle A, Gebreyohannes T, Hailu G (2015) Spatial analysis of groundwater potential using remote sensing and GIS-based multi-criteria evaluation in Raya Valley, northern Ethiopia. Hydrogeol J 23:195–206CrossRef

Ghorbani MA, Khatibi R, Sivakumar B, Cobb L (2010) Study of discontinuities in hydrological data using catastrophe theory. Hydrol Sci J 55:1137–1151CrossRef

Gogu RC, Dassargues A (2000) Sensitivity analysis for the EPIK method of vulnerability assessment in a small karstic aquifer, southern Belgium. Hydrogeol J 8(3):337–345CrossRef

Hammouri N, El-Naqa A, Barakat M (2012) An integrated approach to groundwater exploration using remote sensing and geographic information system. J Water Resour Protect 4:717–724CrossRef

Haque MN, Hasan MAFMR (2002) Sub-surface formations and groundwater flow in Daulatpur and Bheramara Thana of Kushtia district, Bangladesh. J Bangladesh Natl Geograph Assoc 30(1–2):41–54

Haque MN, Keramat M, Rahman AMA (2000) Delineation of groundwater potential zones in the western Barind tract of Bangladesh. J Bangladesh Natl Geograph Assoc 21–26(1–2):13–20

Haque MN, Keramat M, Shahid S (2011) Spatial assessment of aquifer properties in a soft rock area of greater Kushtia district of Bangladesh. J Appl Hydrol XXIV(1–2):9–18

Haque MN, Keramat M, Mahiuddin A, Shahid S (2014a) Hydrostratigraphic study in the western part of Bangladesh in relation to groundwater potentiality. Int J Earth Sci Eng 7(5):1668–1674

Haque MN, Keramat M, Shahid S (2014b) Groundwater resource evaluation in the western part of Kushtia district of Bangladesh using vertical electrical sounding technique. J Hydraul Eng 21(1):97–110. https://doi.org/10.1080/09715010.2014.981679CrossRef

Haque MN, Keramat M, Shahid S, Mohsenipour M (2016) GIS integration of hydrogeological and geoelectrical data for groundwater potential modeling in the western part of greater Kushtia district of Bangladesh. Water Resources 43(2):283–291. https://doi.org/10.1134/S0097807816020111CrossRef

Haque MN, Keramat M, Shahid S, Mohsenipour M, Wang XJ (2017) Groundwater dynamics and balance in the western part of greater Kushtia district of Bangladesh. KSCE J Civ Eng 21:1595–1606. https://doi.org/10.1007/s12205-016-0801-1CrossRef

Harini P, Sahadevan DK, Das IC, Manikyamba C, Durgaprasad M, Nandan MJ (2018) Regional groundwater assessment of Krishna River basin using integrated GIS approach. J Indian Soc Remote Sens 46(9):1365–1377CrossRef

Haque MN (2008) Delineation of groundwater potential zones in the western part of greater Kushtia district based on integrated hydrogeological and geophysical approach. PhD Thesis, Department of Applied Physics and Electronic Engineering, University of Rajshahi, Rajshahi, Bangladesh, 185

Hasan MAFMR, Keramat M, Enayetullah S, Haque MN, Rahman MM (2001) Assessment of groundwater potentiality in the northeastern part of Barind tract, Bangladesh. J Bangladesh Natl Geograph Assoc 29(1–2):43–55

Hoque MA, Hoque MM, Ahmed KM (2007) Declining groundwater level and aquifer dewatering in Dhaka metropolitan area, Bangladesh: causes and quantification. Hydrogeol J 15(8):1523–1534CrossRef

Horton RE (1932) Drainage-basin characteristics. EOS Trans Am Geophys Union 13(1):350–361CrossRef

Hossain MJ, Haque MN, Keramat M (1996) Groundwater resource evaluation of Nawabganj and Godagari Thana of greater Rajshahi district. J Bangladesh Acad Sci 20(2):191–196

Hui Q (2008) Niche, factor interaction and business evolution—the enterprise niche research of the growth business. Zhejiang University Press, Hangzhou

Huo S, Jin M, Liang X, Li X, Hao H (2020) Estimating impacts of water-table depth on groundwater evaporation and recharge using lysimeter measurement data and bromide tracer. Hydrogeol J 28:955–971. https://doi.org/10.1007/s10040-019-02098-6CrossRef

Israil M, Al-Hadithi M, Singhal DC, Kumar B, Rao MS, Verma SK (2006) Groundwater resources evaluation in the Piedmont zone of Himalaya, India using isotope and GIS techniques. J Spatial Hydrol 6(1):105–119

Jahan CS, Rahaman MF, Arefin R, Ali MS, Mazumder QH (2018) Delineation of groundwater potential zones of Atrai–Sib river basin in North-West Bangladesh using remote sensing and GIS techniques. Sustain Water Resour Manag 5:689–702. https://doi.org/10.1007/s40899-018-0240-xCrossRef

Jaiswal RK, Mukherjee S, Krishnamurthy J, Saxena R (2003) Role of remote sensing and GIS techniques for generation of groundwater prospect zone towards rural development: an approach. Int J Remote Sens 24(5):993–1008CrossRef

Jenks GF (1967) The data model concept in statistical mapping. Int Yearb Cartogr 7:186–190

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):1713–1728CrossRef

Johnson AI (1967) Specific yield: compilation of specific yields for various materials. US Geol Surv Water Suppl Pap 1662-A

Kam JK (1992) Are chaos and catastrophe theories relevant to environmental sciences. J Environ Sci 4:39–42

Kaur L, Rishia MS, Singh G, Thakur SN (2020), Groundwater potential assessment of an alluvial aquifer in Yamuna subbasin (Panipat region) using remote sensing and GIS techniques in conjunction with analytical hierarchy process (AHP) and catastrophe theory (CT). Ecol Indic. https://doi.org/10.1016/j.ecolind.2019.105850

Kumar S, Machiwal D, Parmar BS (2019a) A parsimonious approach to delineating groundwater potential zones using geospatial modeling and multicriteria decision analysis techniques under limited data availability condition. Eng Rep. https://doi.org/10.1002/eng2.12073

Kumar SP, Balasundareshwaran A, Kumaraswamy K, Balaselvakumar S (2017) Assessment of groundwater potential zones in Dindigul district, Tamil Nadu, using GIS-based on analytical hierarchical process (AHP) technique. Int J Recent Sci Res 8(12):22684–22690

Kumar VA, Mondal NC, Ahmed S (2019b) Identification of groundwater potential zones using RS, GIS and AHP techniques: a case study in a part of Deccan Volcanic Province (DVP), Maharashtra, India. J Indian Soc Remote Sens. https://doi.org/10.1007/s12524-019-01086-3

Li PY, Hui Q, Jian-Hua WU (2010) Groundwater quality assessment based on improved quality index in Pengyang County, Ningxia, Northeast China. J Chem 7(1):209–216

Li SF (2011) Assessment of flood hazard risk based on catastrophe theory in flood detention basins. Electric Technology and Civil Engineering (ICETCE), pp 139–142. https://doi.org/10.1109/icetce.2011.57744022011.5774402

Liang L, Weng F, Yang G, Ding Y (2012) Research on water quality assessment based on catastrophe theory. In Proceedings of the 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, Nanjing, pp 1–3

Madrucci V, Fabio T, De Araújo CC (2008) Groundwater favorability map using GIS multicriteria data analysis on crystalline terrain, São Paulo state, Brazil. J Hydrol 357:153–173CrossRef

Mathiazhagan M, Madhavi G, Selvakumar T (2016) An integrated approach for groundwater potential zoning in Palar basin in and around Walajabad block. IJAET 7(3):76–82

Mazumder MIH, Haque MN, Uddin MJ (2007) Geoelectric survey in deciphering the groundwater zones in the Tribeni union of Jhenidah district. J Bangladesh Acad Sci 31(1):7–16

Mogaji KA, Lim HS (2017) Development of a GIS-based catastrophe theory model (modified DRASTIC model) for groundwater vulnerability assessment. Earth Sci Inform 10(3):339–356CrossRef

Mojid MA, Parvez MF, Mainuddin M, Hodgson G (2019) Water table trend: a sustainability status of groundwater development in North-West Bangladesh. Water 2019(11):1182

Mondal NC, Das SN, Singh VS (2008) Integrated approach for identification of potential ground water zone in Seethanagaram Mandal of Vizianagaram district, Andhra Pradesh, India. J Earth System Sci 2:133–141CrossRef

MPO (1987) Groundwater resources of Bangladesh. Technical report no. 5. Master Plan Organization, Dhaka, Bangladesh

Nag SK, Kundu A (2016) Delineation of groundwater potential zones in hard rock terrain in Kashipur block, Purulia district, West Bengal, using geospatial techniques. Int J Waste Resources 6(1):1–7. https://doi.org/10.4172/2252-5211.1000201CrossRef

Napolitano P, Fabbri AG (1996) Single-parameter sensitivity analysis for aquifer vulnerability assessment using DRASTIC and SINTACS. In: Kovar K, Nachtnebel HP (eds) Application of geographic information systems in hydrology and water resources management. IAHS Press, Wallingford, pp 559–566

Oh HJ, Kim YS, Choi JK, Park E, Lee S (2011) GIS mapping of regional probabilistic groundwater potential in the area of Pohang City, Korea. J Hydrol 399:158–172

Patra S, Mishra P, Mahapatra SC (2018) Delineation of groundwater potential zone for sustainable development: a case study from ganga alluvial plain covering Hooghly district of India using remote sensing, geographic information system and analytic hierarchy process. J Clean Prod 172:2485–2502CrossRef

Pinto D, Shrestha S, Babel MS, Ninsawat S (2017) Delineation of groundwater potential zones in the Comoro watershed, Timor Leste using GIS, remote sensing and analytic hierarchy process (AHP) technique. Appl Water Sci 7(1):503–519CrossRef

Preeja KR, Joseph S, Thomas J, Vijith H (2011) Identification of groundwater potential zones of a Tropical River basin (Kerala, India) using remote sensing and GIS techniques. J Indian Soc Remote Sens 39:83–94CrossRef

Raghunath HM (1987) Groundwater, 2nd edn. Wiley, New Delhi, 563 pp

Rahman A, Kumar S, Fazal S, Siddiqui M (2012) Assessment of land use/land cover change in the north-west district of Delhi using remote sensing and GIS techniques. J Indian Soc Remote Sens 40:689–697CrossRef

Rao SY, Jugran KD (2003) Delineation of groundwater potential zones and zones of groundwater quality suitable for domestic purposes using remote sensing and GIS. Hydrogeol Sci J 48(5):821–833. https://doi.org/10.1623/hysj.48.5.821.51452CrossRef

Saaty TL (1980) The analytic hierarchy process. McGraw-Hill, New York

Saaty TL (1990) Decision making for leaders: the analytic hierarchy process for decisions in a complex world. RWS Publications Press, Pittsburgh

Sadeghfam S, Hassanzadeh Y, Nadiri AA, Zarghami M (2016) Localization of groundwater vulnerability assessment using catastrophe theory. Water Resour Manag 30(13):4585–4601CrossRef

Saidi S, Bouri S, Ben Dhia H (2011) Sensitivity analysis in groundwater vulnerability assessment based on GIS in the Mahdia-Ksour Essaf aquifer, Tunisia: a validation study. Hydrol Sci J 56(2):288–304CrossRef

Salem G, Kazama S, Komori D, Shahid S, Dey NC (2017) Optimum abstraction of groundwater for sustaining groundwater level and reducing irrigation cost. Water Resour Manag 31(6). https://doi.org/10.1007/s11269-017-1623-8

Shahid S (2010) Recent trends in the climate of Bangladesh. Clim Res 4(23):185–193CrossRef

Shahid S, Hazarika MK (2010) Groundwater drought in the northwestern districts of Bangladesh. J Water Resources Manag 24:1989–2006CrossRef

Shahid S, Nath SK, Roy J (2000) Groundwater potential modeling in a soft rock area using GIS. Int J Remote Sens 21(9):1919–1924CrossRef

Shahid S, Wang X, Rahman MM, Hasan R, Harun S, Shamsudin S (2015) Spatial assessment of groundwater over-exploitation in northwestern districts of Bangladesh. J Geol Soc India 85(4):463–470CrossRef

Shahinuzzaman M, Haque MN, Rahman MM (2002) Groundwater resource evaluation in Khoksa Upaazila, Kushtia, Bangladesh. J Water Resource Res 19:69–79

Shahinuzzaman M, Mostafa S, Khan MNU, Islam MK, Alibuddin M, Haque MN (2016) Hydrostratigraphy and its relation to ground-water potentiality of an area of the Ganges River Delta in Bangladesh. World J Eng Technol 6(4):10–20CrossRef

Shailaja G, Kadam AK, Gupta G, Umrikar BN, Pawar NJ (2019) Integrated geophysical, geospatial and multiple-criteria decision analysis techniques for delineation of groundwater potential zones in a semi-arid hard-rock aquifer in Maharashtra, India. Hydrogeol J 27:639–654. https://doi.org/10.1007/s10040-018-1883-2CrossRef

Shopan AA, Islam AKMS, Dey NC, Bala SK (2013) Estimation of the changes of wetlands in the northwest region of Bangladesh using Landsat images. 4th International Conference on Water and Flood Management, Dahka, pp 521–528

Sikdar PK, Chakraborty S, Adhay E, Paul PK (2004) 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. J Spatial Hydrol 4(2):1–24

Singh LK, Jha MK, Chowdary VM (2018) Assessing the accuracy of GIS-based multi-criteria decision analysis approaches for mapping groundwater potential. Ecol Indic 91:24–37. https://doi.org/10.1016/j.ecolind.2018.03.070

Singh LK, Jha MK, Chowdary VM (2020) Application of catastrophe theory to spatial analysis of groundwater potential in a sub-humid tropical region: a hybrid approach. Geocarto Int. https://doi.org/10.1080/10106049.2020.1737970

Srivastava PK, Bhattacharya AK (2006) Groundwater assessment through an integrated approach using remote sensing, GIS and resistivity techniques: a case study from a hard rock terrain. Int J Remote Sens 27:4599–4620CrossRef

Terzaghi K, Peck RB (1968) Soil mechanics in engineering practice, 2nd edn. Wiley, New York

Thapa R, Gupta S, Gupta A, Reddy DV, Kaur H (2018) Use of geospatial technology for delineating groundwater potential zones with an emphasis on water-table analysis in Dwarka River basin, Birbhum, India. Hydrogeol J 26:899–922. https://doi.org/10.1007/s10040-017-1683-0CrossRef

UNDP (United Nation Development Programme) (1982) The hydrogeological condition of Bangladesh, Groundwater survey, New York: Technical report DP/UN/BGD-74-0071, pp.88

Venkateswaran S, Prabhu MV, Karuppannan S (2014) Delineation of groundwater potential zones using geophysical and GIS techniques in the Sarabanga Sub Basin, Cauvery River, Tamil Nadu, India. Int J Current Res Acad Rev 2:58–75

Wang W, Liu S, Zhang S, Chen J (2011) Assessment of a model of pollution disaster in near-shore coastal waters based on catastrophe theory. Ecol Model 222:307–312CrossRef

Wang XJ, Zhang JY, Shahid S, Xia XH, He RM, Shang MT (2014) Catastrophe theory to assess water security and adaptation strategy in the context of environmental change. Mitig Adapt Strat Global Change 19(4):463–477CrossRef

WARPO (Water Resources Planning Organization) (2000) National water management plan project, dhaka: draft development strategy, main final, 2

Yang F, Shao D, Xiao C, Tan X (2012) Assessment of urban water security based on catastrophe theory. Water Sci Technol 66:487–493CrossRef

Yomo M, Mourad KA, Gnazou MDT (2019) Examining water security in the challenging environment in Togo, West Africa. Water 11(2):1–19. https://doi.org/10.3390/w11020231CrossRef

Zhang TJ, Ren SX, Li SG, Zhang TC, Xu H. J (2009) Application of the catastrophe progression method in predicting coal and gas outburst. Mining Science and Technology (China) 19(4):430–434

Titel: Delineation of groundwater potential zones using a parsimonious concept based on catastrophe theory and analytical hierarchy process
verfasst von: M. Shahinuzzaman
M. Nozibul Haque
Shamsuddin Shahid
Publikationsdatum: 16.03.2021
Verlag: Springer Berlin Heidelberg
Erschienen in: Hydrogeology Journal / Ausgabe 3/2021
Print ISSN: 1431-2174
Elektronische ISSN: 1435-0157
DOI: https://doi.org/10.1007/s10040-021-02322-2

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