Modeling the effect of over abstraction on future groundwater salinity
Joint Authors
Uthman, Fardiah
Siyam, Muhammad
Mughir, Yunus
Source
Publisher
Islamic University of Gaza Faculty of Engineering
Publication Date
2012-10-31
Country of Publication
Palestine (Gaza Strip)
No. of Pages
17
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
English Abstract
The most important factor affecting the quality of groundwater of the Gaza strip is the over abstraction which speeds up the salinization rates in the groundwater.
There is no direct scientific formula that can calculate the effect of abstraction on groundwater salinity.
This paper introduces a new approach to estimate the effect of abstraction on groundwater using Artificial Neural Networks (ANNs).
The ANNs model generated very good results depending on the high correlation between the observed and simulated values of chloride concentration.
The correlation coefficient between the observed and the simulated values of chloride concentration is 0.98 which means that ANNs model is beneficial and applicable for groundwater salinity modeling.
The ANNs model is utilized to predict chloride concentration in groundwater depending on three future scenarios of abstraction quantities and rates from the Gaza strip aquifer.
ANNs model proved that in case the abstraction rate remains as the present conditions, chloride concentration will increase rapidly in most areas of the Gaza strip and the availability of fresh water will decrease in disquieting rates by year 2030.
ANNs model also proved that groundwater salinity will improve solely if the abstraction rate is reduced by half and it also showed that groundwater salinity will improve considerably if the abstraction rate is completely stopped.
Based on the results of this study, calling for enhancing the trends to other drinking water resources to secure the public water demand is the most effective solution to decrease the groundwater salinity in the Gaza strip.
Data Type
Conference Papers
Record ID
BIM-777105
American Psychological Association (APA)
Siyam, Muhammad& Mughir, Yunus& Uthman, Fardiah. 2012-10-31. Modeling the effect of over abstraction on future groundwater salinity. . , pp.1-17.Gaza Palestine : Islamic University of Gaza Faculty of Engineering.
https://search.emarefa.net/detail/BIM-777105
Modern Language Association (MLA)
Siyam, Muhammad…[et al.]. Modeling the effect of over abstraction on future groundwater salinity. . Gaza Palestine : Islamic University of Gaza Faculty of Engineering. 2012-10-31.
https://search.emarefa.net/detail/BIM-777105
American Medical Association (AMA)
Siyam, Muhammad& Mughir, Yunus& Uthman, Fardiah. Modeling the effect of over abstraction on future groundwater salinity. .
https://search.emarefa.net/detail/BIM-777105
