Assessing the Groundwater Potentiality of the Gumani River Basin, India, using Geoinformatics and Analytical Hierarchy Process

Mahammad, Sadik; Islam, Aznarul

doi:10.1007/978-3-030-64136-8_8

Cited by 7 publications

(2 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Analytical or quantitative models illustrated above rank the alternatives and assist the stakeholders to choose the most suitable ones. It is also observed that researchers mostly tend to use analytic hierarchy process (AHP) as part of MCDM (Mahammad & Islam, 2021). The AHP is a well-structured technique for analyzing and organizing complex decisions based on mathematics and human psychology (Saaty, 1980(Saaty, , 1990.…”

Section: Introductionmentioning

confidence: 99%

A framework for optimal rank identification of resource management systems using probabilistic approaches in analytic hierarchy process

2022

View full text Add to dashboard Cite

A resource management system is likely to succeed if stakeholders get involved in analyzing and choosing from the alternatives. The present work deals with multi-criteria decision models to evaluate rain water harvesting (RWH) structures. Standard practice is to acquire the weights for criteria from stakeholders using analytic hierarchy process (AHP) to predict the RWH structures' performance and rank them. Challenges in this process are that the data collection is laborious and time-consuming, considers limited stakeholders' opinions, and suffers from lower confidence factors. This work proposes a probabilistic approach to AHP using Monte Carlo simulation (MCS) to model uncertainty. The proposal is to collect multiple assessments instead of a single judgment from knowledgeable stakeholders (KSH) with customized questionnaires and to compute the relative importance of criteria using pairwise comparisons. Stochastically similar assessments within the range of these samples are then generated using different distribution functions to compute the performance of the RWH structures. The computed performance correlated well with common stakeholders' (CSH) opinions in the case study involving 10 existing RWH structures with seven different criteria, for all the distributions. The mean relative error with the proposed method is approximately 21% less than the existing point estimate method.

show abstract

Section: Introductionmentioning

confidence: 99%

A framework for optimal rank identification of resource management systems using probabilistic approaches in analytic hierarchy process

2022

View full text Add to dashboard Cite

show abstract

“…Groundwater, a naturally occurring vital resource is overexploited nowadays in many parts of the world to meet the growing human demand for drinking, agriculture, urban, and industrial purposes (Deepa and Venkateswaran 2018;Mahammad and Islam 2021). Groundwater is a purer form of water as it is always clear, colourless, and odorless and maintains a relatively constant temperature compared to surface water (Fatoba et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Evaluating the groundwater quality of Damodar Fan Delta (India) using fuzzy-AHP MCDM technique

Mahammad

Islam

2021

Appl Water Sci

Self Cite

View full text Add to dashboard Cite

In recent years, groundwater pollution has become increasingly a serious environmental problem throughout the world due to increasing dependency on it for various purposes. The Damodar Fan Delta is one of the agriculture-dominated areas in West Bengal especially for rice cultivation and it has a serious constraint regarding groundwater quantity and quality. The present study aims to evaluate the groundwater quality parameters and spatial variation of groundwater quality index (GWQI) for 2019 using the fuzzy analytic hierarchy process (FAHP) method. The 12 water quality parameters such as pH, TDS, iron (Fe−) and fluoride (F−), major anions (SO42−, Cl−, NO3−, and HCO3−), and cations (Na+, Ca2+, Mg2+, and K+) for the 29 sample wells of the study area were used for constructing the GWQI. This study used the FAHP method to define the weights of the different parameters for the GWQI. The results reveal that the bicarbonate content of 51% of sample wells exceeds the acceptable limit of drinking water, which is maximum in the study area. Furthermore, higher concentrations of TDS, pH, fluoride, chloride, calcium, magnesium, and sodium are found in few locations while nitrate and sulfate contents of all sample wells fall under the acceptable limits. The result shows that 13.79% of the samples are excellent, 68.97% of the samples are very good, 13.79% of the samples are poor, and 3.45% of the samples are very poor for drinking purposes. Moreover, it is observed that very poor quality water samples are located in the eastern part and the poor water wells are located in the northwestern and eastern part while excellent water quality wells are located in the western and central part of the study area. The understanding of the groundwater quality can help the policymakers for the proper management of water resources in the study area.

show abstract

Morphometry-Based Subwatershed Prioritization for Flood Potentiality Analysis of the Gumani River Basin (India) Using TOPSIS

Mahammad

Hoque

Islam

2022

Geography of the Physical Environment

View full text Add to dashboard Cite

Assessing the Groundwater Potentiality of the Gumani River Basin, India, using Geoinformatics and Analytical Hierarchy Process

Cited by 7 publications

References 50 publications

A framework for optimal rank identification of resource management systems using probabilistic approaches in analytic hierarchy process

A framework for optimal rank identification of resource management systems using probabilistic approaches in analytic hierarchy process

Evaluating the groundwater quality of Damodar Fan Delta (India) using fuzzy-AHP MCDM technique

Morphometry-Based Subwatershed Prioritization for Flood Potentiality Analysis of the Gumani River Basin (India) Using TOPSIS

Contact Info

Product

Resources

About