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      Water Pollution Prediction in the Three Gorges Reservoir Area and Countermeasures for Sustainable Development of the Water Environment

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          Abstract

          The Three Gorges Project was implemented in 1994 to promote sustainable water resource use and development of the water environment in the Three Gorges Reservoir Area (hereafter “Reservoir Area”). However, massive discharge of wastewater along the river threatens these goals; therefore, this study employs a grey prediction model (GM) to predict the annual emissions of primary pollution sources, including industrial wastewater, domestic wastewater, and oily and domestic wastewater from ships, that influence the Three Gorges Reservoir Area water environment. First, we optimize the initial values of a traditional GM (1,1) model, and build a new GM (1,1) model that minimizes the sum of squares of the relative simulation errors. Second, we use the new GM (1,1) model to simulate historical annual emissions data for the four pollution sources and thereby test the effectiveness of the model. Third, we predict the annual emissions of the four pollution sources in the Three Gorges Reservoir Area for a future period. The prediction results reveal the annual emission trends for the major wastewater types, and indicate the primary sources of water pollution in the Three Gorges Reservoir Area. Based on our predictions, we suggest several countermeasures against water pollution and towards the sustainable development of the water environment in the Three Gorges Reservoir Area.

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          Landscape ecological security response to land use change in the tidal flat reclamation zone, China.

          As coastal development becomes a national strategy in Eastern China, land use and landscape patterns have been affected by reclamation projects. In this study, taking Rudong County, China as a typical area, we analyzed land use change and its landscape ecological security responses in the tidal flat reclamation zone. The results show that land use change in the tidal flat reclamation zone is characterized by the replacement of natural tidal flat with agricultural and construction land, which has also led to a big change in landscape patterns. We built a landscape ecological security evaluation system, which consists of landscape interference degree and landscape fragile degree, and then calculated the landscape ecological security change in the tidal flat reclamation zone from 1990 to 2008 to depict the life cycle in tidal flat reclamation. Landscape ecological security exhibited a W-shaped periodicity, including the juvenile stage, growth stage, and maturation stage. Life-cycle analysis demonstrates that 37 years is required for the land use system to transform from a natural ecosystem to an artificial ecosystem in the tidal flat reclamation zone.
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            Grey system theory-based models in time series prediction

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              Application of least square support vector machine and multivariate adaptive regression spline models in long term prediction of river water pollution

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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                27 October 2017
                November 2017
                : 14
                : 11
                : 1307
                Affiliations
                [1 ]School of Economic Management, Southwest Jiao tong University, Chengdu 610031, China
                [2 ]Research Center of the Economy of the Upper Reaches of Yangtze River, Chongqing Technology and Business University, Chongqing 400067, China
                [3 ]School of Economics, Chongqing Technology and Business University, Chongqing 400067, China; 17772445691@ 123456163.com
                [4 ]Chongqing Key Laboratory of Electronic Commerce & Supply Chain System, Chongqing Technology and Business University, Chongqing 400067, China; q5961339@ 123456163.com
                Author notes
                [* ]Correspondence: lyh@ 123456ctbu.edu.cn ; Tel.: +86-159-2261-5667
                Author information
                https://orcid.org/0000-0003-3092-0687
                Article
                ijerph-14-01307
                10.3390/ijerph14111307
                5707946
                29077006
                288265fe-1e34-4e51-bcdb-73076e460250
                © 2017 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 19 September 2017
                : 25 October 2017
                Categories
                Article

                Public health
                sustainable development,wastewater,pollution,grey prediction,gm (1,1) model,countermeasures

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