Groundwater vulnerability assessment in the Melaka State of Malaysia using DRASTIC and GIS techniques

The present work attempts to interpret the groundwater vulnerability of the Melaka State in peninsular Malaysia. The state of groundwater pollution in Melaka is a critical issue particularly in respect of the increasing population, and tourism industry as well as the agricultural, industrial and commercial development. Focusing on this issue, the study illustrates the groundwater vulnerability map for the Melaka State using the DRASTIC model together with remote sensing and geographic information system (GIS). The data which correspond to the seven parameters of the model were collected and converted into thematic maps by GIS. Seven thematic maps defining the depth to water level, net recharge, aquifer media, soil media, topography, impact of vadose zone and hydraulic conductivity were generated to develop the DRASTIC map. In addition, this map was integrated with a land use map for generating the risk map to assess the effect of land use activities on the groundwater vulnerability. Three types of vulnerability zones were assigned for both DRASTIC map and risk map, namely, high, moderate and low. The DRASTIC map illustrates that an area of 11.02 % is low vulnerability, 61.53 % moderate vulnerability and 23.45 % high vulnerability, whereas the risk map indicates that 14.40 % of the area is low vulnerability, 47.34 % moderate vulnerability and 38.26 % high vulnerability in the study area. The most vulnerability area exists around Melaka, Jasin and Alor Gajah cities of the Melaka State.

[1]  Sharif Moniruzzaman Shirazi,et al.  GIS-based DRASTIC method for groundwater vulnerability assessment: a review , 2012 .

[2]  A. Melloul,et al.  Groundwater vulnerability assessment using a composite model combining DRASTIC with extensive agricultural land use in Israel's Sharon region , 1998 .

[3]  Masayuk Takada,et al.  Evaluation of intrinsic vulnerability to nitrate contamination of groundwater: appropriate fertilizer application management , 2011 .

[4]  K. Abbaspour,et al.  Conditioning DRASTIC model to simulate nitrate pollution case study: Hamadan–Bahar plain , 2011 .

[5]  R. Knox Subsurface Transport and Fate Processes , 1993 .

[6]  F. A. Salman,et al.  Agro-ecological aspects of groundwater utilization: A case study , 2010 .

[7]  M. Jha,et al.  Applications of Remote Sensing and GIS Technologies in Groundwater Hydrology: Past, Present and Future. , 2006 .

[8]  B. Andreo,et al.  A comparative study of four schemes for groundwater vulnerability mapping in a diffuse flow carbonate aquifer under Mediterranean climatic conditions , 2005 .

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

[10]  A. P. Marchant,et al.  An initial screening tool for water resource contamination due to development in the Olympic Park 2012 site, London , 2011 .

[11]  Victoria P. Trent "Drastic" Mapping to Determine the Vulnerability of Ground-Water to Pollution , 1991 .

[12]  Wayne L. Myers,et al.  A GIS-based approach to evaluating regional groundwater pollution potential with DRASTIC , 1990 .

[13]  Assessment of groundwater contamination using geographic information systems , 1999 .

[14]  R. Weil,et al.  The nature and properties of soils. 11th ed. , 1996 .

[15]  Atiqur Rahman,et al.  A GIS based DRASTIC model for assessing groundwater vulnerability in shallow aquifer in Aligarh, India , 2008 .

[16]  S. Bouri,et al.  Groundwater vulnerability and risk mapping of the Hajeb-jelma aquifer (Central Tunisia) using a GIS-based DRASTIC model , 2010 .

[17]  G. Vižintin,et al.  Groundwater nitrate vulnerability assessment in alluvial aquifer using process-based models and weights-of-evidence method: Lower Savinja Valley case study (Slovenia) , 2011 .

[18]  Jack Barbash,et al.  Pesticides in ground water: distribution, trends, and governing factors. , 1996 .

[19]  Jianwei Zhou,et al.  Regional assessment of groundwater vulnerability in Tamtsag basin, Mongolia using drastic model , 2010 .

[20]  J. Arnold,et al.  An Aquifer Vulnerability Assessment of the Paluxy Aquifer, Central Texas, USA, Using GIS and a Modified DRASTIC Approach , 2000, Environmental management.

[21]  A. Viero,et al.  Evaluation of contaminants retention in soils from Viamão District, Rio Grande do Sul State, Brazil , 2006 .

[22]  K. Pearson On the Criterion that a Given System of Deviations from the Probable in the Case of a Correlated System of Variables is Such that it Can be Reasonably Supposed to have Arisen from Random Sampling , 1900 .

[23]  Luís Ribeiro,et al.  Evaluation of an intrinsic and a specific vulnerability assessment method in comparison with groundwater salinisation and nitrate contamination levels in two agricultural regions in the south of Portugal , 2006 .

[24]  Shakeel Ahmed,et al.  GIS-based impact assessment of land-use changes on groundwater quality: study from a rapidly urbanizing region of South India , 2011 .

[25]  Prof. Dr. SM Shirazi, CEng,et al.  Climatic parameters and net irrigation requirement of crops , 2011 .

[26]  Elias Dimitriou,et al.  Land use change scenarios and associated groundwater impacts in a protected peri-urban area , 2011 .

[27]  Karl Pearson F.R.S. X. On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling , 2009 .

[28]  M. Karmegam,et al.  AHP-DRASTIC: software for specific aquifer vulnerability assessment using DRASTIC model and GIS , 2003, Environ. Model. Softw..

[29]  J. Merchant GIS-based groundwater pollution hazard assessment: a critical review of the DRASTIC model , 1994 .

[30]  Rida Al-Adamat,et al.  Groundwater vulnerability and risk mapping for the Basaltic aquifer of the Azraq basin of Jordan using GIS, Remote sensing and DRASTIC , 2003 .

[31]  Jacynthe Pouliot,et al.  Aquifer vulnerability mapping and GIS: A proposal to monitor uncertainty associated with spatial data processing , 2004 .

[32]  A. Nair,et al.  Geographic Information System and groundwater quality mapping in Panvel Basin, Maharashtra, India , 2004 .

[33]  J. A. R. Leal,et al.  Aquifer vulnerability mapping in the Turbio river valley, Mexico: A validation study , 2003 .

[34]  Se-Yeong Hamm,et al.  Assessment of the potential for groundwater contamination using the DRASTIC/EGIS technique, Cheongju area, South Korea , 1999 .