scholarly journals Effects of Landscape Development Intensity on River Water Quality in Urbanized Areas

2019 ◽  
Vol 11 (24) ◽  
pp. 7120 ◽  
Author(s):  
Yuncai Wang ◽  
Jiake Shen ◽  
Wentao Yan ◽  
Chundi Chen
Keyword(s):  
Water Quality ◽  
Decision Making ◽  
River Water ◽  
River Water Quality ◽  
Urban River ◽  
Three Dimensions ◽  
Landscape Development ◽  
Planning And Design ◽  
Landscape Development Intensity ◽  
Urbanized Areas

Urban development and human activities have greatly changed the appearance of urban landscapes, and also affect urban river water environments. Rapidly urbanized regions in China face particularly severe pressures and challenges in alleviating degradation of river water quality. Information is needed on which indexes of landscape development intensity in rapidly-urbanized areas are the key factors affecting the quality of river water environments, and how these factors affect water quality. In order to answer these questions, this research selected six indexes belonging to three dimensions for landscape development intensity evaluation. Based on five water quality parameters of 20 rivers and the land use data of 20 small watersheds of Liangjiang New Area, Chongqing, China in 2014, this research explored the correlation between the landscape development intensity indexes and river water quality through redundancy analysis. We found that the impervious surface rate and the land average fixed asset investment are the key indexes to affect river water quality. Regulating the corresponding indexes at the urban planning and design level, as well as the decision making level, can effectively achieve the goal of improving urban river water quality. The conclusions inspire strategies in planning and design, and are helpful for government decision making to effectively protect river water environment in rapidly urbanized areas in the developing countries.

Analysis of water pollution and evaluation of purification measures in an urban river basin

1996 ◽  
Vol 34 (12) ◽  
pp. 33-40 ◽  
Author(s):  
Y. Hosoi ◽  
Y. Kido ◽  
H. Nagira ◽  
H. Yoshida ◽  
Y. Bouda
Keyword(s):  
Water Quality ◽  
River Water ◽  
River Basin ◽  
Urban Areas ◽  
River Flow ◽  
Sea Water ◽  
Water Quality Management ◽  
River Water Quality ◽  
Urban River ◽  
Pollutant Load

The inflow of pollutant load from urban areas and the stagnation of water due to sea water intrusion cause the deterioration of river water quality in tidal zone. In order to improve water quality, various measures such as the reduction of pollutant load by sewage systems, discharge control from sewage treatment plants considering river flow, nutrient removal by aquatic plants, and the dredging of bottom sediments have been examined. The choice of these measures depends on the situation of the river environment and finances. In this study, a field survey was carried out in a typical urban river basin, first. Secondly, on the basis of this survey, a mathematical model was formed to simulate flow and water quality. Several purification alternatives designed for the investigated river basin were comparatively evaluated from the viewpoint of the effect of water quality improvement and their cost. Finally, they were prioritized. Through this case study, a planning process of river water quality management was shown.

Monitoring Urban River Water Quality Using Macroinvertebrate and Physico-Chemical Parameters: Case study of Penchala River, Malaysia

2013 ◽  
Vol 13 (6) ◽  
pp. 474-482 ◽  
Author(s):  
Akmal Mahazar ◽  
Mohammad Shuhaimi-O ◽  
Ahmad Abas Kutty ◽  
Mohamed Nor Mohamed De
Keyword(s):  
Water Quality ◽  
River Water ◽  
River Water Quality ◽  
Urban River ◽  
Chemical Parameters ◽  
Physico Chemical

scholarly journals Improved Principal Component-Fuzzy Comprehensive Assessment Coupling Model for Urban River Water Quality: A Case Study in Chongqing, China

Water ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1375
Author(s):  
Siyuan Zhao ◽  
Jing Chen ◽  
Qiu Jin ◽  
Huazu Liu ◽  
Wei Yang ◽  
...  
Keyword(s):  
Water Quality ◽  
River Water ◽  
Principal Component ◽  
Coupling Model ◽  
Domestic Sewage ◽  
Comprehensive Assessment ◽  
River Water Quality ◽  
Urban River ◽  
Fuzzy Comprehensive Assessment

An improved principal component-fuzzy comprehensive assessment coupling model for urban river water quality is proposed, which fully considers the influence of water quality and quantity. This model can not only choose the key indexes, but also specify the spatial variation and class of water quality. This proposed model was used to assess the water quality of the Qingshui and Fenghuang streams in Chongqing, China. Data of twelve indexes used in the assessment were collected from 17 monitoring points. The assessment results show that the key indexes include TN, TP, NH3-N, CODcr, pH, DO and velocity. Water quality of 14 monitoring points is classified as class Bad V, and that of the remaining points is class V. Mainly affected by the deposition of garbage and discharge of domestic sewage, water quality of the midstream is the worst. The upstream is mainly influenced by farmland non-point source pollution and rural domestic sewage pollution. The downstream is close to the scenic area, and environmental control measures such as river dredging and artificial aeration are regularly carried out. The water quality of it is the best. The results provide valuable information that allow local environmental departments to discover the source of pollutant and formulate water resource management strategies.

scholarly journals MODELING AND FORECASTING OF THE STATUS OF SURFACE WATER POLLUTION OF THE STYR RIVER

2021 ◽  
pp. 395-409
Author(s):  
Anatolii Kondratiuk
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Decision Making ◽  
Surface Water ◽  
River Water ◽  
River Water Quality ◽  
Treated Wastewater ◽  
Environmental Damage ◽  
Gradual Improvement ◽  
Surface Water Pollution

The main sources of surface water pollution are determined, mathematical models describing the change of values of chemical and bacteriological indicators of river water quality are considered, the consequences of influence of untreated or under-treated wastewater discharged into rivers on the quality of water in it are substantiated, predictive models of the state of pollution of surface waters are built on the basis of GIS of the Styr River at five observation stations within the Volyn and Rivne regions for the period up to 2022, it has been proved that periodic monitoring of surface water pollution is sufficient for their qualitative forecasting of their condition, etc. In recent decades, GIS has been an effective tool for wastewater management and, therefore, more effective decision-making, as it greatly simplifies the processing of large amounts of geospatial and attributive data. The use of GIS provides the integration of maps to identify places of potential pollution and geographical indication of pollution in different parts of the river, downstream to the outlets of wastewater. Studies of river processes have always been conducted primarily to study their impact on river water quality. Water quality is the main characteristic of rivers in the analysis of their ecological condition and in terms of water use. Our study emphasizes the feasibility and effectiveness of short-term continuous monthly measurement of water quality and the development of the river index in order to focus management decisions on the gradual improvement of water quality. In this study, mathematical modeling of river pollution forecasting was used and forecast diagrams for 2021-2022 were constructed. As a result, these data will be an effective environmental decision-making tool for the implementation of optimal engineering controls at points of interest to prevent environmental damage and protect human health.

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