Simulation of the improving effect of graphene visible‐light photocatalysis using the MIKE11 model of an urban landscape river in the Chaohu Lake Basin, China

IF 1.8 4区环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES

Natural Resource Modeling Pub Date : 2022-06-27 DOI:10.1111/nrm.12344

Hong-bin Xiong, Tianxin Liu, Haiyun Wang, Chenxiao Feng

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引用次数: 0

Abstract

We selected the Tanchong River in Hefei as the site to test the efficacy of graphene visible‐light photocatalysis (GVLP), a new water treatment technology to improve water quality in black‐odorous rivers in urban landscapes. A model coupling the hydrodynamic force and water quality of the Tanchong River was constructed using the MIKE11 model. The numerical simulation method was used to model the concentrations of the main pollutants—chemical oxygen demand (COD), ammonia nitrogen (NH3–N) and total phosphorus (TP) concentrations. The simulation of water quality in the river section treated by GVLP was verified by the Tanchong River water quality improvement project experiment. The results showed that the MIKE11 model can effectively simulate the effect of GVLP technology on water quality improvement. The removal rates of the main pollutants'—COD, NH3–N, and TP by GVLP were 43.9%, 82.1%, and 76.8%, respectively, thus proving GVLP's viability as a treatment for controlling water pollution in similar black‐odorous rivers.

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利用MIKE11模型模拟中国巢湖流域城市景观河流石墨烯可见光催化的改善效果

我们选择合肥潭冲河作为试验场地，测试石墨烯可见光催化（GVLP）的效果，这是一种新的水处理技术，可改善城市景观中黑臭河流的水质。利用MIKE11模型建立了潭冲河水动力与水质的耦合模型。采用数值模拟方法对主要污染物化学需氧量（COD）、氨氮（NH3–N）和总磷（TP）浓度进行了模拟。通过潭冲河水质改善工程试验，验证了GVLP处理河段的水质模拟。结果表明，MIKE11模型能够有效地模拟GVLP技术对水质改善的影响。GVLP对主要污染物COD、NH3–N和TP的去除率分别为43.9%、82.1%和76.8%，从而证明了GVLP作为控制类似黑臭河流水污染的处理方法的可行性。

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来源期刊

Natural Resource Modeling 环境科学-环境科学

CiteScore

3.50

自引率

6.20%

发文量

审稿时长

>36 weeks

期刊介绍： Natural Resource Modeling is an international journal devoted to mathematical modeling of natural resource systems. It reflects the conceptual and methodological core that is common to model building throughout disciplines including such fields as forestry, fisheries, economics and ecology. This core draws upon the analytical and methodological apparatus of mathematics, statistics, and scientific computing.