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, Souleymane; Tang, Zhonghua

doi:10.5194/nhess-17-1375-2017

Cited by 17 publications

(7 citation statements)

References 36 publications

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“…Given the paucity of data and the possible limitations in the specificity of the DRAS-TIC method to the reality of the study area, an improved approach could be to modify the classical model (e.g. V-DRASTIC) or combine it with other developed models as in the entropy-weighted fuzzy DRASTIC method (Souleymane and Zhonghua, 2017).…”

Section: Conclusion and Discussionmentioning

confidence: 99%

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Mapping groundwater availability and adequacy in the Lower Zambezi River basin

Pérez-Lapeña¹,

Saimone²,

Juízo

2018

Proc. IAHS

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Abstract. Groundwater plays an important role as a source of water for various socio-economic uses and environmental requirements in the lower Zambezi basin in Mozambique. Hence it is important to know its availability and adequacy in space to inform decision making for sustainable water management practices. For a derivation of a Groundwater Availability map and a Groundwater Adequacy map we adapted the DRASTIC methodology in a GIS environment to determine how different parameters, such as precipitation, topography, soil drainage, land use and vegetation cover, aquifer characteristics and groundwater quality affect (i) groundwater recharge on a long-term sustainable basis, (ii) the short-term abstraction potential and (iii) the long-term adequacy of groundwater utilization for domestic use. Results showed that groundwater availability in the Zambezi basin varies mostly from medium to low, with highest potential along the perennial rivers and in the delta where it plays a crucial role in environmental preservation. The southern margin of the Zambezi River shows low groundwater availability and also presents low adequacy for domestic use due to poor groundwater quality. The results from this study will be used in determining the most promising future development pathways and select the most attractive strategic development plans of the Mozambican government for the Lower Zambezi basin.

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Section: Conclusion and Discussionmentioning

confidence: 99%

“…Areas densely covered mainly by deeply rooted tree vegetation, promote evaporation at the expense of infiltration (Schilling et al, 2006). The rates, mostly based on literature (Preeja et al, 2011;Senanayake et al, 2016;Suganthi et al, 2013), are presented in Table 1 and applied to create the map in Fig. 2e.…”

Section: Land Use/land Covermentioning

confidence: 99%

Mapping groundwater availability and adequacy in the Lower Zambezi River basin

Pérez-Lapeña¹,

Saimone²,

Juízo

2018

Proc. IAHS

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“…Due to the importance of studying aquifer vulnerability in groundwater resources management, many studies have been conducted in this regard, for example, Souleymane and Zhonghua assessed groundwater vulnerability to pollution in Senegal River basin using DRASTIC and fuzzy optimization methods. They found that the vadose zone is the main parameter which affects groundwater vulnerability to pollution while net recharge contributes least to pollution in the study area (18). In another study, the chemical quality of groundwater of Orzooiyeh plain, southeast of Iran, was assessed.…”

Section: Introductionmentioning

confidence: 94%

Evaluation of groundwater vulnerability to pollution using DRASTIC, composite DRASTIC, and nitrate vulnerability models

Pourkhosravani

Jamshidi

Sayari

2021

Environ Health Eng Manag

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Background: Groundwater protection against pollution is a very important issue. Groundwater vulnerability maps are useful tools for protecting aquifers and assessing the potential for contamination. Therefore, the purpose of this study was to prepare vulnerability maps and perform sensitivity analysis to identify the most influential factors in the vulnerability of the studied aquifer. Methods: In this study, groundwater vulnerability to pollution was evaluated using DRASTIC, composite DRASTIC, and nitrate vulnerability (NV) models. Drastic is an index for the systematic assessment of potential groundwater pollution. In this method, the drastic index was calculated from the total weight and rank of the factors. For this purpose, first the factors affecting the pollution transfer, were weighted, ranked, and merged using GIS software. Then, using the overlapping techniques and after applying the necessary weight coefficients on each layer, a map of the vulnerability area of the study aquifer was prepared. Results: It was revealed that there is a significant linear relationship between all three models with the distribution of nitrate concentration. Accordingly, it was the most efficient NV model, followed by the composite DRASTIC (CD) and DRASTIC models, respectively. Also, in the studied aquifer, the DRASTIC index was between 147 and 136, the combined DRASTIC index was between 70 and 190, and the nitrate index was between 13 and 132. Conclusion: Vulnerability assessment of the studied aquifer using DRASTIC, and combined DRASTIC, and NV indices shows that, according to the DRASTIC index, 69.7% of the studied aquifer was in the medium vulnerability class. Also, according to the combined DRASTIC index, the largest area (53.62%) has low vulnerability and 31.56% has moderate vulnerability. But according to the nitrate index, 77.16% of the aquifers had very low vulnerability.

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“…Also, an innovative tabular method has been proposed to deal with the sensitivity analysis of fully FLP problems by Singh [32] involving a detailed study of different SA methods for building energy models considering the small residential building. A novel method of sensitivity analysis has been evolved by Keita [33] to identify and confirm the main parameters which influence the groundwater vulnerability to pollution with fuzzy optimization for the case of the Senegal River basin in Mali. From the literature, it is observed that the local and global sensitivity analysis methods are still applied in evaluating the robustness of a model.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Biogas Production in Upflow Anaerobic Sludge Blanket Reactor Based on Fuzzy Rule

Christian¹

2020

IJSDP

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The UASB reactor is a popular but complex anaerobic treatment mostly used to treat wastewater loaded with high organic matter. Hence, it is subjected to many complexities due to inconsistent quality and quantity of wastewater and therefore lots of uncertainties are incorporated. Thus, a fuzzy model was developed incorporating five input parameters to predict biogas production in UASBR treating distillery wastewater. A parametric sensitivity analysis of a fuzzy model has been carried out to effectively analyze the influence of input parameters on output. Effect of input parameters on the output parameter has been analyzed through scatter plots. Also, importance based ranking of various input parameters was conducted with the help of the sensitivity index. It was discovered that an increase in biogas production would be achieved if the temperature, COD reduction, COD load and alkalinity to acidity ratio is maintained as 35℃-42℃, 60,000-70,000 mg/L, 55,000-65,000 Kg/Day and 0.1-5 respectively. Moreover, the sensitivity indices of various parameters revealed that COD load and COD reduction had more importance on predicting biogas production. The results of the present study allow gaining important insights into key parameters which are responsible for affecting the performance of the UASBR under various input conditions.

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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

Cited by 17 publications

References 36 publications

Mapping groundwater availability and adequacy in the Lower Zambezi River basin

Mapping groundwater availability and adequacy in the Lower Zambezi River basin

Evaluation of groundwater vulnerability to pollution using DRASTIC, composite DRASTIC, and nitrate vulnerability models

Prediction of Biogas Production in Upflow Anaerobic Sludge Blanket Reactor Based on Fuzzy Rule

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