Based on IF-PSO River Basin Water Pollutant Total Amount Control Optimization Model

2014 ◽  
Vol 508 ◽  
pp. 269-274
Author(s):  
Ming Hui Chen ◽  
Wei Liu ◽  
Ze Sen Wang ◽  
Yu Li
Keyword(s):  
Water Pollution ◽  
River Basin ◽  
Pollution Control ◽  
Ammonia Nitrogen ◽  
Optimal Decision ◽  
Control Optimization ◽  
Total Amount Control ◽  
Basin Water ◽  
Water Pollutant ◽  
And Control

This research based on the total amount control of river basin water pollution reducing, and with YiTong river basin as the study case, to obtain the optimal decision scheme of water environmental pollution control, acquired in 2015 the smallest reduction of COD and ammonia nitrogen is 77804.53 tons and 6644.92 tons, in 2020 obtained the smallest reduction of COD and ammonia nitrogen is 33518.49 tons and 2887.69 tons; acquired in 2020 the smallest reduction of COD and ammonia nitrogen is 77103.39 tons and 6584.52 tons, in 2010 obtained the smallest reduction of COD and ammonia nitrogen is 34219.62 tons and 2948.09 tons, provided decision-making support for the basin water pollution control, improve watershed management and control of water pollutants.

River Basin Water Quality Management in Japan – An Overview

1991 ◽  
Vol 23 (1-3) ◽  
pp. 29-39 ◽  
Author(s):  
Ken Murakami
Keyword(s):  
Water Pollution ◽  
River Basin ◽  
Legal System ◽  
Water Quality Management ◽  
River Basin Management ◽  
Basin Management ◽  
Large Cities ◽  
Basin Water ◽  
Rapid Industrialization ◽  
Control Water

Due to rapid industrialization and the concentration of the population shifting towards large cities starting from the 1950s, Japan experienced severe water pollution problems throughout the country. In order to cope with these problems, the legal system has been refined and various measures to control water pollution have been taken. This paper summarizes the current institutional structure, legal system, as well as plans and programs, for water pollution control and river basin management in Japan.

An Interval-Fuzzy Emissions Reduction Optimization Model for Regional Water Pollutant Total Amount Control

2013 ◽  
Vol 316-317 ◽  
pp. 497-500
Author(s):  
Zhuang Li ◽  
Jing Ya Wen ◽  
Ze Sen Wang ◽  
Zhao Sun ◽  
Yu Li
Keyword(s):  
Water Pollution ◽  
Optimization Model ◽  
Fuzzy Linear Programming ◽  
Hunan Province ◽  
Emissions Reduction ◽  
Environment Protection ◽  
Validity And Reliability ◽  
Total Amount Control ◽  
Water Pollutant ◽  
Regional Water

Combining environment policies of structure emissions reduction, engineering emissions reduction and management emissions reduction, this paper uses an interval-fuzzy linear programming and builds an optimization model for total amount control of regional water pollution, on account of severe water pollution condition. The developed model is applied to a case of Hunan Province to validate its validity and reliability. The optimal result demonstrated that the emission reduction of COD and NH3-N are [43.39, 47.57] and [7.05, 7.64] (104 tons), and the optimal total costs of reduction is [35.11, 37.35] (billion yuan), which decreases 6.32~11.20% than the existed recommended scheme (39.87 billion yuan). This method can be used for providing technical support and thus achieves the 12th Five-year goals of the environment protection plan more effectively.

scholarly journals Spatio-temporal variation analysis of hydrochemical characteristics in the Luanhe River Basin, China

2013 ◽  
Vol 67 (6) ◽  
pp. 1332-1338 ◽  
Author(s):  
Ying Xie ◽  
Xuyong Li ◽  
Huiliang Wang ◽  
Wenzan Li
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Temporal Variation ◽  
River Water ◽  
River Basin ◽  
Pollution Control ◽  
Spatial And Temporal Variation ◽  
Hydrochemical Characteristics ◽  
Water Pollution Control ◽  
Luanhe River Basin

The analysis of river pollution and assessment of spatial and temporal variation in hydrochemistry are essential to river water pollution control in the context of rapid economic growth and growing pollution threats in China. In this study, we focused on hydrochemical characteristics of the Luanhe River Basin (China) and evaluation of 12 hydrochemical variables obtained from 32 monitoring stations during 2001–2010. In each study year, the streams were monitored in the three hydrological periods (April, August, and October) to observe differences in the impacts of agricultural activity and rainfall pattern. Multivariate statistical methods were applied to the data set, and the river water hydrochemical characteristics were assessed using the water quality identification index (WQIIM). The results showed that parameters had variable contribution to water quality status in different months except for ammonia nitrogen (NH4-N) and total nitrogen (TN), which were the most important parameters in contributing to water quality variations for all three periods. Results of WQIIM revealed that 18 sites were classified as 'meeting standard' while the other 14 sites were classified as 'not meeting standard', with most of the seriously polluted sites located in urban area, mainly due to discharge of wastewater from domestic and industrial sources. Sites with low pollution level were located primarily in smaller tributaries, whereas sites of medium and high pollution levels were in the main river channel and the larger tributaries. Our findings provide valuable information and guidance for water pollution control and water resource management in the Luanhe River Basin.

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