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Review on wastewater treatment ponds clogging under artificial recharge: Impacting factors and future modelling

Artificial recharge (AR) of treated wastewater (TWW) has been widely applied in arid areas as a promising technique to replenish groundwater and control the depletion of aquifers. Consequently, surface clogging and reduction of infiltration rate (IR) in infiltration basin problems have appeared on t...

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Main Authors: Abdalrahman, Ghada A. M., Lai, Sai Hin, Snounu, Ismael, Kumar, Pavitra, Sefelnasr, Ahmed, Sherif, Mohsen, El-shafie, Ahmed
Format: Article
Published: Elsevier 2021
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.um.edu.my/28826/
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spelling my.um.eprints.288262022-04-21T06:58:02Z http://eprints.um.edu.my/28826/ Review on wastewater treatment ponds clogging under artificial recharge: Impacting factors and future modelling Abdalrahman, Ghada A. M. Lai, Sai Hin Snounu, Ismael Kumar, Pavitra Sefelnasr, Ahmed Sherif, Mohsen El-shafie, Ahmed TA Engineering (General). Civil engineering (General) Artificial recharge (AR) of treated wastewater (TWW) has been widely applied in arid areas as a promising technique to replenish groundwater and control the depletion of aquifers. Consequently, surface clogging and reduction of infiltration rate (IR) in infiltration basin problems have appeared on the surface. Clogging generally arises as a result of various chemical, physical and biological processes through the infiltration of TWW. The primary concern in this study is based on the factors influencing the development of soil clogging, thus contributing to the reduction of IR. These factors were classified into major categories, namely, factors related to soil characteristics, factors related to TWW, operation process and hydraulic loading rates. Furthermore, this study presents a review of the traditional models used in evaluating the IR and a comparison between these traditional models and artificial neural networks using various statistical criteria. The uncertainty remains in the precise impact of the quality of water and soil parameters on the clogging of basins. Thus, arousing a need to establish an integrated ideation for the factors impacting the clogging of infiltration basins, and to develop an artificial neural network model that can simulate all conditions and yield accurate results to the field value. Elsevier 2021-04 Article PeerReviewed Abdalrahman, Ghada A. M. and Lai, Sai Hin and Snounu, Ismael and Kumar, Pavitra and Sefelnasr, Ahmed and Sherif, Mohsen and El-shafie, Ahmed (2021) Review on wastewater treatment ponds clogging under artificial recharge: Impacting factors and future modelling. Journal of Water Process Engineering, 40. ISSN 2214-7144, DOI https://doi.org/10.1016/j.jwpe.2020.101848 <https://doi.org/10.1016/j.jwpe.2020.101848>. (In Press) 10.1016/j.jwpe.2020.101848
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Abdalrahman, Ghada A. M.
Lai, Sai Hin
Snounu, Ismael
Kumar, Pavitra
Sefelnasr, Ahmed
Sherif, Mohsen
El-shafie, Ahmed
Review on wastewater treatment ponds clogging under artificial recharge: Impacting factors and future modelling
description Artificial recharge (AR) of treated wastewater (TWW) has been widely applied in arid areas as a promising technique to replenish groundwater and control the depletion of aquifers. Consequently, surface clogging and reduction of infiltration rate (IR) in infiltration basin problems have appeared on the surface. Clogging generally arises as a result of various chemical, physical and biological processes through the infiltration of TWW. The primary concern in this study is based on the factors influencing the development of soil clogging, thus contributing to the reduction of IR. These factors were classified into major categories, namely, factors related to soil characteristics, factors related to TWW, operation process and hydraulic loading rates. Furthermore, this study presents a review of the traditional models used in evaluating the IR and a comparison between these traditional models and artificial neural networks using various statistical criteria. The uncertainty remains in the precise impact of the quality of water and soil parameters on the clogging of basins. Thus, arousing a need to establish an integrated ideation for the factors impacting the clogging of infiltration basins, and to develop an artificial neural network model that can simulate all conditions and yield accurate results to the field value.
format Article
author Abdalrahman, Ghada A. M.
Lai, Sai Hin
Snounu, Ismael
Kumar, Pavitra
Sefelnasr, Ahmed
Sherif, Mohsen
El-shafie, Ahmed
author_facet Abdalrahman, Ghada A. M.
Lai, Sai Hin
Snounu, Ismael
Kumar, Pavitra
Sefelnasr, Ahmed
Sherif, Mohsen
El-shafie, Ahmed
author_sort Abdalrahman, Ghada A. M.
title Review on wastewater treatment ponds clogging under artificial recharge: Impacting factors and future modelling
title_short Review on wastewater treatment ponds clogging under artificial recharge: Impacting factors and future modelling
title_full Review on wastewater treatment ponds clogging under artificial recharge: Impacting factors and future modelling
title_fullStr Review on wastewater treatment ponds clogging under artificial recharge: Impacting factors and future modelling
title_full_unstemmed Review on wastewater treatment ponds clogging under artificial recharge: Impacting factors and future modelling
title_sort review on wastewater treatment ponds clogging under artificial recharge: impacting factors and future modelling
publisher Elsevier
publishDate 2021
url http://eprints.um.edu.my/28826/
_version_ 1735409578072342528
score 13.211869

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