Assimilative capacity and water quality modeling of rivers: a review

Jalpa Darji, P. Lodha, S. Tyagi
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引用次数: 5

Abstract

The rivers rejuvenate themselves by traveling over a distance thereby they assimilate the pollution load and cause their own self-cleansing, also termed ‘Self-purification capacity’. To ascertain such assimilative capacity of the river system, various water quality models (WQMs) were studied. Out of numerous WQMs, six models including QUAL2Kw, WASP, SWAT, SIMCAT, MIKE-11, and CE-QUAL-W2 were selected and studied on basis of their development, characteristics, capabilities and strengths, model input, governing equations, application, assumptions and limitations. A comparison based on such a study showing input variables and data, assumptions and limitations, strengths, and specific characteristics has been carried out and tabulated. While the selection of a model is based on the problem for which the decision-making is to be done. Of all the models, QUAL2Kw and WASP have been found to be advantageous over the rest. For a complex river system, a single model may not work and in such cases, a combination may be tried. A model finally selected for a problem must be calibrated so as to have minimum errors and maximum accuracy.
河流同化能力与水质模型研究进展
河流通过一段距离的流动来恢复自己的活力,从而吸收污染负荷并产生自己的自我净化,也称为“自我净化能力”。为了确定河流系统的同化能力,研究了各种水质模型(WQMs)。从众多的wqm中,选取了QUAL2Kw、WASP、SWAT、SIMCAT、MIKE-11和ce - quality - w2 6个模型,并根据它们的发展、特点、能力和优势、模型输入、控制方程、应用、假设和局限性进行了研究。在这种研究的基础上进行了比较,显示了输入变量和数据、假设和限制、优势和具体特征,并将其制成表格。而模型的选择是基于所要做决策的问题。在所有型号中,QUAL2Kw和WASP被发现比其他型号更有优势。对于复杂的河流系统,单一模型可能不起作用,在这种情况下,可以尝试组合。为某一问题最终选定的模型必须经过校准,以使误差最小,精度最高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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