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

Shirazi, Sharif Moniruzzaman; Imran, H. M.; Akib, Shatirah; Yusop, Zulkifli; Harun, Zakaria

doi:10.1007/s12665-013-2360-9

Cited by 123 publications

(69 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Rapid rise in urbanization resulted in deteriorating groundwater quality and quantity (Shirazi et al 2013). Lucknow, an ancient but among the very fast growing cities in India in recent times, is the capital city of highly populous State of Uttar Pradesh.…”

Section: Introductionmentioning

confidence: 99%

A modified-DRASTIC model (DRASTICA) for assessment of groundwater vulnerability to pollution in an urbanized environment in Lucknow, India

et al. 2015

View full text Add to dashboard Cite

Groundwater contamination and vulnerability in urbanized areas are of major concern and need proper attention. Several models including the DRASTIC model are used to evaluate groundwater vulnerability. In the present study, a modified DRASTIC model named as DRASTICA was used, by including anthropogenic influence as a model parameter. The study included an innovative methodology to characterize the anthropogenic influence by using satellite observations of night-lights from human settlements as a proxy and land-use/landcover surrounding the urbanized area in Lucknow, the capital city of the most populous State of Uttar Pradesh in India. Geographical information system was used for spatial integration of different parameter maps. The groundwater vulnerability to pollution indicated that about 0.7 % area is covered under very high vulnerable zone, 24.5 % area under high vulnerable zone, 66.6 % area under moderately vulnerable zone and 8.2 % area under low vulnerable zone. The results were validated using nitrate concentration in ground water. It was shown that the proposed DRASTICA model performed better than conventional DRASTIC model in an urbanized environment. Sensitivity analysis indicated that anthropogenic impact and depth to water table largely influenced the groundwater vulnerability to pollution, thereby signifying that anthropogenic influence has to be addressed precisely in such studies. The modified-DRASTIC/DRASTICA model proposed in this study will help in better categorization of groundwater vulnerable zones to pollution where anthropogenic contamination is high, particularly in and around urban centers.

show abstract

Section: Introductionmentioning

confidence: 99%

A modified-DRASTIC model (DRASTICA) for assessment of groundwater vulnerability to pollution in an urbanized environment in Lucknow, India

et al. 2015

View full text Add to dashboard Cite

show abstract

“…The DRASTIC method is frequently used to study groundwater vulnerability (Shirazi et al, 2013;Sinha et al, 2016). In the United States, Hearne et al (1992), Merchant (1994) and Atkinson (1994); Kalinski (1994) used this method to assess groundwater vulnerability.…”

Section: Vulnerability Assessment By the Drastic Methodsmentioning

confidence: 99%

A novel method of sensitivity analysis testing by applying the DRASTIC and fuzzy optimization methods to assess groundwater vulnerability to pollution: the case of the Senegal River basin in Mali

Keita

Tang

2017

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Vulnerability to groundwater pollution in the Senegal River basin was studied by two different but complementary methods: the DRASTIC method (which evaluates the intrinsic vulnerability) and the fuzzy method (which assesses the specific vulnerability by taking into account the continuity of the parameters). The validation of this application has been tested by comparing the connection in groundwater and distribution of different established classes of vulnerabilities as well as the nitrate distribution in the study area. Three vulnerability classes (low, medium and high) have been identified by both the DRASTIC method and the fuzzy method (between which the normalized model was used). An integrated analysis reveals that high classes with 14.64 % (for the DRASTIC method), 21.68 % (for the normalized DRAS-TIC method) and 18.92 % (for the fuzzy method) are not the most dominant. In addition, a new method for sensitivity analysis was used to identify (and confirm) the main parameters which impact the vulnerability to pollution with fuzzy membership. The results showed that the vadose zone is the main parameter which impacts groundwater vulnerability to pollution while net recharge contributes least to pollution in the study area. It was also found that the fuzzy method better assesses the vulnerability to pollution with a coincidence rate of 81.13 % versus that of 77.35 % for the DRASTIC method. These results serve as a guide for policymakers to identify areas sensitive to pollution before such sites are used for socioeconomic infrastructures.

show abstract

“…Large amount of effluents generated from urban population, industries and agricultural activities may pollute soil and groundwater. Groundwater recharge and distribution depend on the underlying geological formations, surface expression, local and regional climate settings [ARSHAD et al 2014;SHIRAZI et al 2010;SHIRAZI et al 2012;SHIRAZI et al 2013;SRI-VASTAVA 2002]. Sufficient information and an overview of the present groundwater condition have significant role in the early stages of preparing a sustainable groundwater development plan.…”

Section: Introductionmentioning

confidence: 99%

Groundwater quality and hydrogeological characteristics of Malacca state in Malaysia

Shirazi¹,

Adham²,

Zardari³

et al. 2015

Journal of Water and Land Development

View full text Add to dashboard Cite

Groundwater quality and aquifer productivity of Malacca catchment in Peninsular Malaysia are presented in this article. Pumping test data were collected from 210 shallow and 17 deep boreholes to get well inventory information. Data analysis confirmed that the aquifers consisting of schist, sand, limestone and volcanic rocks were the most productive aquifers for groundwater in Malacca state. GIS-based aquifer productivity map was generated based on bedrock and discharge capacity of the aquifers. Aquifer productivity map is classified into three classes, namely high, moderate and low based on discharge capacity. Groundwater potential of the study area is 35, 57 and 8% of low, moderate and high class respectively. Fifty two shallow and 14 deep aquifer groundwater samples were analyzed for water quality. In some cases, groundwater quality analysis indicated that the turbidity, total dissolved solids, iron, chloride and cadmium concentrations exceeded the limit of drinking water quality standards.

show abstract

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

Cited by 123 publications

References 23 publications

A modified-DRASTIC model (DRASTICA) for assessment of groundwater vulnerability to pollution in an urbanized environment in Lucknow, India

A modified-DRASTIC model (DRASTICA) for assessment of groundwater vulnerability to pollution in an urbanized environment in Lucknow, India

A novel method of sensitivity analysis testing by applying the DRASTIC and fuzzy optimization methods to assess groundwater vulnerability to pollution: the case of the Senegal River basin in Mali

Groundwater quality and hydrogeological characteristics of Malacca state in Malaysia

Contact Info

Product

Resources

About