scholarly journals Water quality improvement measures of the Yagang cross-section in the Peral River Delta based on the calculation of excessive pollutant fluxes

2020 ◽  
Author(s):  
Min Pang ◽  
Ruichen Xu ◽  
Tianyi Zhu ◽  
Changfangzi Wang ◽  
John Paul Kaisam
Keyword(s):  
Water Quality ◽  
River Basin ◽  
Research Area ◽  
Flux Analysis ◽  
Quality Model ◽  
Sources Of Pollution ◽  
Pollution Problem ◽  
Improvement Measures ◽  
Pollutant Flux ◽  
Class Iv

Abstract The aim of this study is to quantify the sources of pollution in the Yagang River Basin. The 1-D hydrodynamic model and the 1-D water quality model are combined with the excessive pollutant flux analysis method to calculate pollution data of the Yagang area. The results showed the following. (1) Upstream pollution was the primary cause of water quality degradation for the Yagang Basin, exceeding the water quality standards. In addition, the pollution problem ranking of the entire basin was the following: the Yagang area (30.4%) > the Foshan area (23.2%) > the Baini River Basin (13.1%) > the Liuxi River Basin (0.6%). In addition, the rainy season had the greatest influence on pollution concentrations. (2) It was also concluded that if the boundary water quality could meet the inspection requirements (class IV water), the internal research area sewage collection rate would reach 60%, and the ammonia in the river discharge would reach 35.7%. This would allow the water quality reach standard class IV.

Effect on Marine Ecological Environment of COD Emission of Wastewater

2013 ◽  
Vol 779-780 ◽  
pp. 1365-1368
Author(s):  
Ying Wang ◽  
Chun Ma ◽  
Guang Yu Zhang ◽  
Nan Xu
Keyword(s):  
Numerical Simulation ◽  
Water Quality ◽  
Marine Pollution ◽  
Water Quality Model ◽  
Ecological Environment ◽  
Quality Model ◽  
Simulation Research ◽  
Pollution Problem ◽  
Sea Area

The paper uses the research means of numerical simulation for marine pollution problem of the ocean dumps from offshore industries, which is concerned by the coastal countries; it adopts ECOM Water Quality Model. It has carried out the simulation research on those projects influence on the environment of sea area. By taking COD of wastewater as the research object, the paper confirmed the influence range of COD emission on marine ecological environment.

scholarly journals Trend analysis of the load and concentration of physical, chemical and biological parameters in the Verde River Basin

RBRH ◽  
2017 ◽  
Vol 22 (0) ◽  
Author(s):  
Carolina Cristiane Pinto ◽  
Stella Braga Andrade ◽  
Éber Andrade Pinto ◽  
Sílvia Maria Alves Corrêa Oliveira
Keyword(s):  
Water Quality ◽  
Time Series ◽  
River Basin ◽  
River Flow ◽  
Biological Parameters ◽  
Concentration Data ◽  
Sources Of Pollution ◽  
Physical Chemical ◽  
Verde River ◽  
Spearman Correlation Test

ABSTRACT The estimation of loads of pollutants is of crucial interest to identify the level of water quality, understand the processes and identify the sources of pollution. The aim of this study was to calculate time trends of loads and concentrations of eleven physical, chemical and biological parameters, in nine quality monitoring stations of the Verde River Basin from 2008 to 2014. The time series analysis was performed with different tests. First, with the verification of autocorrelation of the time series using the Spearman correlation test. Then, Kruskal-Wallis test was used to check significant differences between the seasons and, afterwards the Mann-Kendall or the Seasonal Mann-Kendall time trend tests were applied accordingly. The analysis results indicated differences between the spatial distribution of loads and concentrations for most of the parameters evaluated in this study. The results showed that the simultaneous analysis of concentration data and flow data is essential for a more comprehensive and reliable evaluation of water quality, since the changes in river flow over time can mislead the interpretation of the concentration data. Moreover, to analyze only the pollutant load data, without looking how the flow and concentration behaves, does not provide conclusive results, since it does not allow to evaluate whether changes in the load values were caused by alterations of the flow or concentration. Thus, the results indicate the need to monitor water quality along with flow measurement, providing more complete and reliable assessments of the evolution of water quality.

scholarly journals A simple water quality model as a tool for the evaluation of alternative river basin management plans

2013 ◽  
Vol 16 (1) ◽  
pp. 1-8
Keyword(s):  
Water Quality ◽  
River Basin ◽  
River Basin Management ◽  
Water Quality Model ◽  
Point Sources ◽  
Water Bodies ◽  
Quality Model ◽  
Basin Management ◽  
River Basin District ◽  
Management Plans

<p>A key component in the implementation of Water Framework Directive is the development of a river basin management plan for each river basin district. Water quality models are important tools to test the effectiveness of alternative management plans on the water quality of the respective water bodies. The main objective of the present study was to develop and demonstrate the use of a rather simple water quality model as a tool for the evaluation of alternative water management scenarios for the river basin district of Evrotas. Furthermore an extension of the water quality model based on Monte Carlo simulation to provide for uncertainty identification is also exhibited. The model is based on the basic principles of the Streeter-Phelps model. A hierarchical approach was developed in order to delineate a complex hydrographic network into a series of water bodies being connected by convective terms. The pollution loads which were used as input data were related both to point sources and non-point sources. Based on the results a substantial removal of organic carbon load originating from the industrial activities is needed in order to achieve high dissolved oxygen concentrations throughout the entire hydrosystem even at the dry period.</p>

A sensitivity study for the Amstel River Basin water quality model

River Systems ◽  
2006 ◽  
Vol 17 (1-2) ◽  
pp. 245-263 ◽  
Author(s):  
F. J. Elorza ◽  
J. Mira ◽  
J. Icke
Keyword(s):  
Water Quality ◽  
River Basin ◽  
Sensitivity Study ◽  
Water Quality Model ◽  
Quality Model ◽  
Basin Water
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