NDLI: Characterizing the Socio-Economic Driving Forces of Groundwater Abstraction with Artificial Neural Networks and Multivariate Techniques

Content Provider	Springer Nature Link
Author	Jalala, Said Hani, Azzedine Shahrour, Isam
Copyright Year	2011
Abstract	Integrated groundwater quantity management in the Middle East region must consider appropriate control measures of the socio economic needs. Hence, there is a need for a better knowledge and understanding of the socio economic variables influencing the groundwater quantity. Gaza Strip was chosen as the study area and real data were collected from twenty five municipalities for the reference year 2001. In this paper, the effective variables have been characterized and prioritized using multi-criteria analysis with artificial neural networks (ANN) and expert opinion and judgment. The selected variables were classified and organized using the multivariate techniques of cluster analysis, factor analysis, principal components and classification analysis. There are significant discrepancies between the results of ANN analysis and expert opinion and judgment in terms of ranking and prioritizing the socio-economic variables. Characterization of the priority effective socio-economic driving forces indicates that water managers and planners can introduce demand-based groundwater management in place of the existing supply-based groundwater management. This ensures the success of undertaking responsive technical, managerial and regulatory measures. Income per capita has the highest priority. Efficiency of revenue collection is not a significant socio-economic factor. The models strengthen the integration of preventive approach into groundwater quantity management. In addition to that, they assist decision makers to better assess the socio economic needs and undertake proactive measures to protect the coastal aquifer.
Starting Page	2147
Ending Page	2175
Page Count	29
File Format	PDF
ISSN	09204741
Journal	Water Resources Management
Volume Number	25
Issue Number	9
e-ISSN	15731650
Language	English
Publisher	Springer Netherlands
Publisher Date	2011-03-15
Publisher Institution	European Water Resources Association (EWRA)
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Gaza Strip Groundwater quantity Multilayer perceptron network Socio-economic Multivariate techniques Meteorology/Climatology Hydrogeology Environment Civil Engineering Geotechnical Engineering
Content Type	Text
Resource Type	Article
Subject	Water Science and Technology Civil and Structural Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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