volume 31 issue 22 pages 32494-32518

A decision support system for localized planning of reclaimed water around wastewater treatment plants

Publication typeJournal Article
Publication date2024-04-24
scimago Q1
SJR1.004
CiteScore10.6
Impact factor
ISSN09441344, 16147499
Abstract
Exploding population, industrialization, and an increase in water pollution has led to acute shrinkage in freshwater availability. Numerous countries have started exploring municipal wastewater as a new potential source of water to bring a paradigm shift from linearity to obtaining circularity in human water cycle management. This study aims to develop a decision support system for integrated water and wastewater management (DSS_IWWM), targeted towards reuse-focused selection of appropriate wastewater treatment technology, and localized planning around STPs in terms of reclaimed water demand identification, estimation, allocation, and sustainable pricing. The developed DSS_IWWM comprises of a repository of fourteen reuse purposes, reuse quality criteria, and 25 wastewater treatment technologies (WWTTs) in 360 combinations. It is sensitive to local resource scenarios and applies a socioeconomic and technology-focused methodology for addressing the interests of the community and investing agencies and viably. To validate the application of the DSS_IWWM, it is first tested with data from three cities in the state of Uttar Pradesh (India)—Lucknow, Prayagraj, and Agra—and then extended to nine more Indian cities with varying influent quality characteristics, resource inputs, existing STP technologies, and same target quality and decision criteria prioritization, to present a comparison of appropriate WWTTs and associated average prices obtained in different scenarios. It is concluded that influent quality, existing technology, and target quality criteria play significant role in selection of appropriate WWTTs. The traditional technologies such as UASB and ASP are required to be augmented and supplemented with high-performing WWTTs, such as BIOFOR-F with (C + F + RSF) and SBT + WP to obtain desired effluent quality. High-performing advanced oxidation process (AOP)-based systems such as A2O, SBR, and BIOFOR-F require WWTTs with relatively lower average costs (such as SBT and OP). The developed DSS_IWWM may prove to be very useful and beneficial for policymakers, government officials, engineers, and scientific community as it will facilitate rational decision-making for efficient investment planning in reuse focused wastewater treatment towards achieving circular economy in sustainable water resource management.
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Srivastava R. R. et al. A decision support system for localized planning of reclaimed water around wastewater treatment plants // Environmental Science and Pollution Research. 2024. Vol. 31. No. 22. pp. 32494-32518.
GOST all authors (up to 50) Copy
Srivastava R. R., Singh P. K. A decision support system for localized planning of reclaimed water around wastewater treatment plants // Environmental Science and Pollution Research. 2024. Vol. 31. No. 22. pp. 32494-32518.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1007/s11356-024-33395-7
UR - https://link.springer.com/10.1007/s11356-024-33395-7
TI - A decision support system for localized planning of reclaimed water around wastewater treatment plants
T2 - Environmental Science and Pollution Research
AU - Srivastava, Ria Ranjan
AU - Singh, Prabhat Kumar
PY - 2024
DA - 2024/04/24
PB - Springer Nature
SP - 32494-32518
IS - 22
VL - 31
PMID - 38658511
SN - 0944-1344
SN - 1614-7499
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2024_Srivastava,
author = {Ria Ranjan Srivastava and Prabhat Kumar Singh},
title = {A decision support system for localized planning of reclaimed water around wastewater treatment plants},
journal = {Environmental Science and Pollution Research},
year = {2024},
volume = {31},
publisher = {Springer Nature},
month = {apr},
url = {https://link.springer.com/10.1007/s11356-024-33395-7},
number = {22},
pages = {32494--32518},
doi = {10.1007/s11356-024-33395-7}
}
MLA
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MLA Copy
Srivastava, Ria Ranjan, et al. “A decision support system for localized planning of reclaimed water around wastewater treatment plants.” Environmental Science and Pollution Research, vol. 31, no. 22, Apr. 2024, pp. 32494-32518. https://link.springer.com/10.1007/s11356-024-33395-7.