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不同缓解策略下印度勒克瑙市贡蒂河未来水质模拟

Simulation of Gomti River (Lucknow City, India) future water quality under different mitigation strategies.

作者信息

Kumar Pankaj

机构信息

Natural Resources and Ecosystem Services, Institute for Global Environmental Strategies, Hayama, Kanagawa, Japan.

United Nations University - Institute for the Advanced Study of Sustainability, Tokyo, Japan.

出版信息

Heliyon. 2018 Dec 21;4(12):e01074. doi: 10.1016/j.heliyon.2018.e01074. eCollection 2018 Dec.

DOI:10.1016/j.heliyon.2018.e01074
PMID:30603707
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6304472/
Abstract

The Gomti River in Lucknow City, India, was an important source of water for the different uses few decades ago. However, because of the rapid global changes, current status of the river is very critical from environmental, aesthetic and commercial usage point of view. Henceforth, this research work focused on assessing the current as well as predicting its future situation using different scenarios while considering key drivers of global changes namely climate change and population growth. Water Evaluation and Planning (WEAP), a numerical simulation tool, was used to model river water quality using two scenarios viz. business as usual (BAU) and scenario with mitigation measures. Water quality simulation was done along 24 km stretch of the Gomti River from downstream of Near Moosa Bird Sanctuary to Near Bharwara. Comparison of simulated water quality parameters for the current and BAU status clearly indicates that the water quality by 2030 will rapidly deteriorate and will be not suitable for many aquatic lives in terms of simulated water quality parameters. Results from scenario with mitigation measures suggest current planned wastewater treatment plants and policies are not sufficient enough to achieve desirable river water quality within class B and hence call for immediate and inclusive action.

摘要

印度勒克瑙市的贡蒂河在几十年前是不同用途的重要水源。然而,由于全球快速变化,从环境、美学和商业用途的角度来看,该河目前的状况非常危急。因此,本研究工作聚焦于评估其当前状况,并在考虑全球变化的关键驱动因素即气候变化和人口增长的同时,使用不同情景预测其未来状况。水评估与规划(WEAP)这一数值模拟工具,被用于通过两种情景对河流水质进行建模,即照常营业(BAU)情景和有缓解措施的情景。沿着贡蒂河从穆萨鸟类保护区下游到巴尔瓦拉附近24公里的河段进行了水质模拟。当前和BAU情景下模拟水质参数的比较清楚地表明,到2030年,就模拟水质参数而言,水质将迅速恶化,将不适于许多水生生物生存。有缓解措施情景的结果表明,目前规划的污水处理厂和政策不足以实现B类内理想的河流水质,因此需要立即采取全面行动。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69dd/6304472/710332c1ea19/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69dd/6304472/306f7e5f2f09/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69dd/6304472/ac0a274be8d1/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69dd/6304472/798c77ea5199/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69dd/6304472/5548bf1c1eac/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69dd/6304472/9b702902edd3/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69dd/6304472/8f0ad26d232c/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69dd/6304472/710332c1ea19/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69dd/6304472/306f7e5f2f09/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69dd/6304472/ac0a274be8d1/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69dd/6304472/798c77ea5199/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69dd/6304472/5548bf1c1eac/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69dd/6304472/9b702902edd3/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69dd/6304472/8f0ad26d232c/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69dd/6304472/710332c1ea19/gr7.jpg

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