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Development of a GIS-based catastrophe theory model (modified DRASTIC model) for groundwater vulnerability assessment

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Abstract

This study developed a new paradigm for groundwater vulnerability assessment by modifying the standard DRASTIC index (DI) model based on catastrophe theory. The developed paradigm was called the catastrophe theory-based DI (CDI) model. The proposed model was applied to assess groundwater vulnerability to pollution index (GVPI) in Perak Province, Malaysia. The area vulnerability index was modeled by considering the DRASTIC multiple vulnerability causative factors (VCFs) obtained from different data sources. The weights and ranking of the VCFs were computed by using the inner fuzzy membership mechanism of the CDI model. The estimated vulnerability index values of the CDI model were processed in a geographic information system (GIS) environment to produce a catastrophe theory–DRASTIC groundwater vulnerability to pollution index (CDGVPI) map, which demarcated the area into five vulnerability zones. The produced CDGVPI map was validated by applying the water quality status–vulnerability zone relationship (WVR) approach and the relative operating characteristic (ROC) curve method. The performance of the developed CDI model was compared with that of the standard DI model. The validation results of the WVR approach exhibits 89.29% prediction accuracy for the CDI model compared with 75% for the DI model. Meanwhile, the ROC validation results for the CDI and DI models are 88.8% and 78%, respectively. The GIS-based CDI model demonstrated better performance than the DI model. The GVPI maps produced in this study can be used for precise decision making process in environmental planning and groundwater management.

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References

  • Ahmed K, Shahid S, Bin Harun S, Ismail T, Nawaz N, Shamsudin S (2014) Assessment of groundwater potential zones in an arid region based on catastrophe theory. Earth Sci Inf. doi:10.1007/s12145-014-0173-3

    Google Scholar 

  • Akgun A, Sezer EA, Nefeslioglu HA, Gokceoglu C, Pradhan B (2012) An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm. Comput Geosci 38(1):23–34

    Article  Google Scholar 

  • 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 Monit Assess 187(2015):576. doi:10.1007/s10661-015-4801-2

    Article  Google Scholar 

  • Al-Abadi AM, Shahid S (2016) Al-al 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. doi:10.1007/s12665-016-5523-7

    Article  Google Scholar 

  • Al-Adamat RAN, Foster IDL, Baban SMJ (2003) Groundwater vulnerability and risk mappingfor the basaltic aquifer of the Azraq basin of Jordan using GIS, remote sensing and DRASTIC. Appl Geogr 23:303–324

    Article  Google Scholar 

  • Alam F, Umar R, Ahmad S, Dar AF (2012) Anew model (DRASTICLU) for evaluating groundwater vulnerability in parts of central ganga plain, India. Arab J Geosci 7:927–937

    Article  Google Scholar 

  • Aller L, Bennett T, Lehr JH, Pretty RJ, Hacket G (1987) DRASTIC: a standardized system for evaluating ground water pollution potential using hydrogeologic settings.US Environmental Protection Agency, Ada, Oklahoma (EPA-600/2-87-035).

  • Al-Saud M (2010) Mapping potential areas for groundwater storage in Wadi Aurnah Basin, western Arabian peninsula, using remote sensing and geographic information system techniques. Hydrogeol J 18:1481–1495

    Article  Google Scholar 

  • Antonakos AK, Lambrakis NJ (2007) Development and testing of three hybrid methods for the assessment of aquifer vulnerability to nitrates, based on the drastic model, an example from NE Korinthia, Greece. J Hydrol 333:288–304. doi:10.1016/j.jhydrol.2006.08.014

    Article  Google Scholar 

  • Causape J, Quilez D, Aragues R (2006) Groundwater quality in CR-V irrigation district (Bardenas I, Spain): alternative scenarios to reduce off-site salt and nitrate contamination. Agric Water Manag 84(2006):281–289

    Article  Google Scholar 

  • Chen SK, Jang CS, Peng YH (2013a) Developing a probability-based model of aquifer vulnerability in an agricultural region. J Hydrol 486:494–504. doi:10.1016/j.jhydrol.2013.02.019

    Article  Google Scholar 

  • Chen SK, Jang CS, Peng YH (2013b) Developing a probability-based model of aquifer vulnerability in an agricultural region. J Hydrol. doi:10.1016/j.jhydrol.2013.02.019

    Google Scholar 

  • Chen KL, Shi YL, Lin ZL, Wang JK, Ouyang YR, Jiang JL (2012) An approach for integrated assessment of ecorisk in coastal waters based on catastrophe theory: taking Luoyuan Bay as a case. Chin J Appl Ecol 23(1):213–221

    Google Scholar 

  • Chen Y, Zhang S, Zhang Y, Xu L, Qu Z, Song G, Zhang J (2016) Comprehensive assessment and hierarchical management of the sustainable utilization of urban water resources based on catastrophe theory. J Taiwan Inst Chem Eng 60(2016):430–437

    Article  Google Scholar 

  • Ching HS, Ying-Hua CL, Yin L (1996) Evaluating a weapon system using catastrophe series based on fuzzy scales. In: Fuzzy systems symposium, soft computing in intelligent systems and information processing, proceedings of the 1996 Asian, 11–14. pp 212–217. doi:10.1109/afss.1996.583593

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

    Article  Google Scholar 

  • Chung CJ, Fabbri AG (2003) Validation of spatial prediction models for landslide hazard mapping. Nat Hazards 30:451–472

    Article  Google Scholar 

  • De Vries JJ, Simmer I (2002) Groundwater recharge: an overview of processes and challenge. Hydrogeol J 10:5–17. doi:10.1007/s10040-001-0171-7

    Article  Google Scholar 

  • Dhar A, Sahoo S, Dey S, Sahoo M (2014) Evaluation of recharge and groundwater dynamics of a shallow alluvial aquifer in central ganga basin, Kanpur (India). Nat Resour Res 23:409–422

    Article  Google Scholar 

  • Doumouya I, Dibi B, Kouame IK, Saley B, Jourda JP, Savane I, Biemi J (2012) Modelling of favourable zones for the establishment of water points by geographical information system (GIS) and multi-criteria analysis (MCA) in the Abiosso area (south-east of cote d’Ivoire). Environ Earth Sci. doi:10.1007/s12665–012–1622–2

    Google Scholar 

  • Gorai AK, Pathak G, Iqua J (2014) Development of hierarchical fuzzy model for groundwater vulnerability to pollution. Arab J Geosci. doi:10.1007/a12517-014-1417-8

    Google Scholar 

  • Greya D, Sadoff CW (2007) Sink or swim? Water security for growth and development. Water Policy 9(6):545–571

    Article  Google Scholar 

  • He J, Wang J, Chen H (2012) Assessment of groundwater contamination risk using hazard quantification, a modified DRASTIC model and groundwater value, Beijing plain. China Science of the Total Environment 432(2012):216–226

    Google Scholar 

  • Henley S (1976) Catastrophe theory models in geology. Math Geol 8(6):649–655

    Article  Google Scholar 

  • Huan H, Wang J, Teng Y (2012) Assessment and validation of groundwater vulnerability to nitrate based on a modified DRASTIC model: a case study in Jilin City of northeast China. Sci Total Environ (Article online first available). doi:10.1016/j.scitotenv.2012.08.037

    Google Scholar 

  • Jessica EL, Sonia T (2009) Groundwater vulnerability assessments and integrated water resource management. Streamline Watershed Bulletin 13(1):18–29

  • Kalinski RJ, Kelly WE, Bogardi I, Ehrman RL, Yamamoto PO (1994) Correlation between DRASTIC vulnerabilities and incidents of VOC contamination of municipal wells in Nebraska. Ground Water 32(1):31–34

    Article  Google Scholar 

  • Kounadis AN (2003) Dynamic buckling of simple two-bar frames using catastrophe theory. Int J Non-Linear Mech 37:1249–1259

    Article  Google Scholar 

  • Kumar P, Baban KSB, Sanjit KD, Praveen KT, Ghanshyam C (2015) Index-based groundwater vulnerability mapping models using hydrogeological settings. A critical evaluation Environmental Impact Assessment Review 51(2015):38–49

    Article  Google Scholar 

  • Lengyel A, You Z (2004) Bifurcations of SDOF mechanisms using catastrophe theory. Int J Solids Struct 41:559–568

    Article  Google Scholar 

  • Leonard RA, Knisel WG, Still DA (1987) GLEAMS: groundwater loading effects of agricultural management systems. Trans ASAE 30:1403–1418

    Article  Google Scholar 

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

    Google Scholar 

  • Lilles and TM, Kiefer RW (2000) Remote sensing and image in- terpretation. Wiley, New York (ISBN0–471–25515-7)

    Google Scholar 

  • Manap MA, Sulaiman WNA, Ramli MF, Pradhan B, Surip N (2011) A knowledge-driven GIS modelling technique for groundwater potential mapping at the upper Langat Basin, Malaysia. Arab J Geosci 6(5):1621–1637. doi:10.1007/s12517-011- 0469-2

    Article  Google Scholar 

  • McLay CDA, Dragden R, Sparling G, Selvarajah N (2001) Predicting groundwater nitrate concentrations in a region of mixed agricultural land use: a comparison of three approaches. Environ Pollut 115:191–204

    Article  Google Scholar 

  • Minerals and Geoscience Department, Malaysia (2004) Impact of the 26th December 2004 Tsunami on Groundwater Systems and Groundwater Based Water Supplies in Malaysia

  • Mogaji KA, Lim HS (2017) Development of groundwater favourability map using GIS-based driven data mining models: an approach for effective groundwater resource management. Geocarto International. doi:10.1080/10106049.2016.1273400

    Google Scholar 

  • Mogaji KA, Lim HS, Abdullah K (2014) Modeling groundwater vulnerability prediction using geographic information system (GIS)-based ordered weighted average (OWA) method and DRASTIC model theory hybrid approach. Arab J Geosci. doi:10.1007/s12517-013-1163-3

    Google Scholar 

  • Mohammady M, Pourghasemi HR, Pradhan B (2012) Landslide susceptibility mapping at golestan province, Iran: a comparison between frequency ratio, Dempster–Shafer, and weights-of-evidencemodels. J Asian Earth Sci 61:221–236

    Article  Google Scholar 

  • Mrotzek M, Ossimitz G (2008) Catastrophe archetypes: using system dynamics to build an integrated systemic theory of catastrophes. The 2008 international conference of the system dynamics society, July 20–24, 2008, Athens, Greece

  • Murthy KSR (2000) Groundwater potential in a semi-arid region of Andhra Pradesh: a GIS approach. Int J Remote Sens 21(9):1867–1884

    Article  Google Scholar 

  • Naghibi SA, Pourghasemi HR, Pourtaghi ZS, Rezaei A (2015) Groundwater qanat potential mapping using frequency ratio and Shannon’s entropy models in the Moghan watershed. Iran Earth Sci Inform 8:171–186

    Article  Google Scholar 

  • National Research Council (1993) Ground water vulnerability assessment: predicting relative contamination potential under conditions of uncertainty, 1th edn. The National Academies Press, Washington, DC, USA, p 1993

  • Nobre RCM, Rotunno-Filho OC, Mansur WJ, Cosenza CAN, Nobre MMM (2007) Groundwater vulnerability and risk mapping using GIS, modeling and a fuzzy logic tool. J Contam Hydrol 94:277–292

    Article  Google Scholar 

  • Nosrati K, Eeckhaut MVD (2012) Assessment of groundwater quality using multivariate statistical techniques in Hashtgerd plain. Iran Environ Earth Sci 65:331–344

    Article  Google Scholar 

  • Pacheco FAL, Sanches FLF (2012) The multivariate structure of DRASTIC model. J Hydrol. doi:10.1016/jhydrol.2012.11.20

    Google Scholar 

  • Panagopoulos GP, Antonakos AK, Lambrakis NJ (2006) Optimization of the DRASTIC method for groundwater vulnerability assessment via the use of simple statistical methods and GIS. Hydrogeol J 14(2006):894–911. doi:10.1007/s10040-005-0008-x

    Article  Google Scholar 

  • Pourghasemi HR, Moradi HRF, Aghda SM, Gokceoglu C, Pradhan B (2013) GIS-based landslide susceptibility mapping with probabilistic likelihood ratio and spatial multi-criteria evaluation models (north of Tehran, Iran). Arab J Geosci. doi:10.1007/ s12517-012-0825-x

    Google Scholar 

  • Pourghasemi HR, Moradi HR, Fatemi-Aghda SM, Gokceoglu C, Pradhan B (2012) GIS-based landslide susceptibility mapping with probabilistic likelihood ratio and spatial multi-criteria evaluation models (north of Tehran, Iran). Arab J Geosci 7(5):1857–1878

    Article  Google Scholar 

  • Pradhan B, Lee S, Buchroithner MF (2010) Remote sensing and GIS based landslide susceptibility analysis and its cross-validation in three test areas using a frequency ratio model. Photogramm Fernerkun 1:17–32. doi:10.1127/1432-8364/2010/0037

    Article  Google Scholar 

  • Pradhan B, Neshat A, Pirasteh S, Shafri HZM (2013) Estimating groundwater vulnerability to pollution using a modified DRASTIC model in the Kerman agricultural area. Iran Environ Earth Sci. doi:10.1007/s12665-013-2690-7

    Google Scholar 

  • Qi SL, Gurdak JJ (2006) Percentage of probability of nonpoint sourcenitrate contamination of recently recharged ground water in theHigh plains aquifer: U.S. Geological Survey Data Series. http://water.usgs.gov/lookup/getspatial?ds192_hp_npctprob. Accessed 14 June 2013

  • Rahman A (2008) A GIS based DRASTIC model for assessing groundwater vulnerability in shallow aquifer in Aligarh. India Applied Geography 28:32–53. doi:10.1016/j.apgeog.2007.07.008

    Article  Google Scholar 

  • Rahmati O, Pourghasemi HR, Melesse AM (2016) Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: a case study at Mehran region, Iran. Catena 137:360–372

    Article  Google Scholar 

  • Razandi Y, Pourghasemi HR, SamaniNeisani N, Rahmati O (2015) Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using GIS. Earth Sci Inf. doi:10.1007/s12145-015-0220-8

    Google Scholar 

  • Rosser JB (2007) The rise and fall of catastrophe theory applications in economics: was the baby thrown out with the bathwater? J Econ Dyn Control 31:3255–3280

    Article  Google Scholar 

  • Sahoo S, Dhar A, Kar A, Chakraborty D (2016a) Index-based groundwater vulnerability mapping using quantitative parameters. Environ Earth Sci 75(6):1–13

    Article  Google Scholar 

  • Sahoo M, Sahoo S, Dhar A, Pradhan B (2016b) Effectiveness evaluation of objective and subjective weighting methods for aquifer vulnerability assessment in urban context Journal of hydrology xxx (2016) xxx–xxx.

  • Samake M, Tang Z, Hlaing W, Ndoh MI, Kasereka K, Waheed OB (2011) Groundwater vulnerability assessment in shallow aquifer in Linfen Basin, Shanxi Province, China using DRASTIC model. Int J Sustain Dev 4(1) www.ccsenet.org/jsd

  • Schultz B, Uhlenbrook S (2007) ‘Water security’: what does it mean, what may it imply? Discussion draft paper for the session on water security. Delft, The Netherlands

    Google Scholar 

  • Shirazi SM, Imran HM, Shatirah AS (2012) GIS-based DRASTIC method for groundwater vulnerability assessment: a review Journal of risk research publication details, including instructions for authors and subscription information. Journal of Risk Research 15(8):991–1011

    Article  Google Scholar 

  • Singh A, Srivastav SK, Kumar S, Chakrapani GJ (2015) A modified-DRASTIC model (DRASTICA) for assessment of groundwater vulnerability to pollution in an urbanized environment in Lucknow. India Environ Earth Sci. doi:10.1007/s12665-015-4558-5

    Google Scholar 

  • Su S, Li D, Yu X, Zhang Z, Zhang Q, Xiao R, Zhi J, Wu J (2011) Assessing land ecological security in shanghai (China) based on catastrophe theory. Stoch Env Res Risk A 25(6):737–746

    Article  Google Scholar 

  • Svorozhtsov EV, Scobeiev BY, Ganzha VG (1995) Symbolic-numerical method for the stability analysis of difference schemes on the basis of the catastrophe theory. J Comput Phys 116(1):26–38

    Article  Google Scholar 

  • Thirumalaivasan D, Karmegam M, Venugopa K (2003) AHP-DRASTIC: software for specific aquifer vulnerability assessment using DRASTIC model and GIS. Environ Model Softw 18:645–656

    Article  Google Scholar 

  • Uriev NB, Trofimova LE (2008) Analysis of the formation work of surfactant molecular aggregate in the context of catastrophe theory. Colloid J 70(1):129–131

    Google Scholar 

  • Wagenet RJ, Histon JL (1987) Predicting the fate of nonvolatile pesticides in the unsaturated zone. J Environ Qual 15:315–322

    Article  Google Scholar 

  • Wang J, He J, Chen H (2012) Assessment of groundwater contamination risk using hazard quantification, a modified DRASTIC model and groundwater value, Beijing plain, China. Sci Total Environ 432(2012):216–226

    Article  Google Scholar 

  • Wang TC, Lee HD (2009) Developing a fuzzy TOPSIS approach based on subjective and objective weights. Expert Syst Appl 36:8980–8985

    Article  Google Scholar 

  • Wang W, Liu S, Zhang S, Chen J (2011a) Assessment of a model of pollution disaster in near-shore coastal waters based on catastrophe theory. Ecol Model 222(2):307–312.

  • Wang C, Ni FQ, Deng Y, Jiang LL (2011b) Research on the risk associated with rural drinking water safety based on catastrophe theory. J Water Resour Prot 3(6):356–362

    Article  Google Scholar 

  • Wang XJ, Zhang JY, Shahid S, Xia XH, He RM, Shang MT (2013) Catastrophe theory to assess water security and adaptation strategy in the context of environmental change. Mitig Adapt Strateg Glob Chang. doi:10.1007/s11027-012-9443-x

    Google Scholar 

  • Wang X, Zhang J, Tong X, Shahid S, He R, Xia X (2014) Mechanism and comprehensive counter measure for drought management from the view of catastrophe theory. Nat Hazards 71(2014):823–835. doi:10.1007/s11069-013-0915-4

    Article  Google Scholar 

  • WaterAid (2012) Water security framework. WaterAid, London http://www.wateraid.org/documents/plugin_ documents/water_security_framework_2012_final_lr.pdf

    Google Scholar 

  • Weidlich W, Huebner H (2008) Dynamics of political opinion formation including catastrophe theory. J Econ Behav Organ 67:1–26

    Article  Google Scholar 

  • Wenyu D, Ghose S (2006) A dynamic nonlinear model of online retail competition using cusp catastrophe theory. J Bus Res 59:838–848

    Article  Google Scholar 

  • Yan C, Xu G, Zuo Y (2006) Destabilization analysis of overlapping underground chambers induced by blasting vibration with catastrophe theory. Trans Nonferrous Metals Soc China 16:735–740

    Article  Google Scholar 

  • Yang F, Shao D, Xiao C, Tan X (2012) Assessment of urban water security based on catastrophe theory. Water Sci Technol 66:487–493. doi:10.2166/wst.2012.182

    Article  Google Scholar 

  • Yu C, Yao YY, Hayes G, Zhang BX (2010) Zheng CM (2010) quantitative assessment of groundwater vulnerability using index system and transport simulation, Huangshuihe catchment, China. Sci Total Environ 408:6108–6116

    Article  Google Scholar 

  • Zhang J, Chen Y, Zhang S, Zhang Y, Xu L, Qu Z, Song G (2016) Comprehensiveassessmentandhierarchicalmanagementofthesustainableutilizationofurbanwaterresourcesbasedoncatastrophetheory. J Taiwan Inst Chem Eng 60(2016):430–437

    Google Scholar 

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

    Google Scholar 

  • Zhao Z, Xiang C (2002) The application of catastrophe theory in environmental forecast. Environmental Monitoring in Chian 18(4):61–63

    Google Scholar 

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Acknowledgements

This project was conducted using the financial support from RUI (Investigation of the impacts of summertime monsoon circulation to aerosol transportation and distribution in Southeast Asia, which can lead to global climate change, 1001/PFIZIK/811228). The authors are also grateful to Universiti Sains Malaysia for providing a one-year, post-doctoral fellowship to Dr. Kehinde Anthony Mogaji (BW001607). Special appreciation also goes to the Federal University of Technology Akure, Nigeria for granting the author a study leave to utilize the fellowship for research study.

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  1. Department of Applied Geophysics, Federal University of Technology, P.M.B, Akure, 704, Nigeria

    Kehinde Anthony Mogaji

  2. School of Physics, Universiti Sains Malaysia, 11800, Penang, Malaysia

    Kehinde Anthony Mogaji & Hwee San Lim

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  1. Kehinde Anthony Mogaji
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Correspondence to Kehinde Anthony Mogaji.

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Communicated By: H. A. Babaie

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Mogaji, K.A., Lim, H.S. Development of a GIS-based catastrophe theory model (modified DRASTIC model) for groundwater vulnerability assessment. Earth Sci Inform 10, 339–356 (2017). https://doi.org/10.1007/s12145-017-0300-z

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