Risk Probability Assessment of Sudden Water Pollution in the Plain River Network Based on Random Discharge from Multiple Risk Sources

2019 ◽  
Vol 33 (12) ◽  
pp. 4051-4065 ◽  
Author(s):  
Dayong Li ◽  
Zengchuan Dong ◽  
Liyao Shi ◽  
Jintao Liu ◽  
Zhenye Zhu ◽  
...  
2020 ◽  
Author(s):  
Dayong Li

<p>In this paper, a comprehensive early-warning method of sudden water pollution is used to systematically evaluate the hazards of sensitive receptors after accidents. A coupling model of the river network hydrodynamic and water quality for conventional pollutants and conservative substance is developed to track and predict the behavior and fate of the accidental pollution mass, the expert questionnaires and other means are used to construct a quantitative and qualitative early warning index system to describe the accidental hazard, the AHP and fuzzy comprehensive evaluation method are used to quantitatively evaluate the consequences of accidental hazards and a sudden water pollution risk early warning method based on the process of "accident occurrence-pollution prediction-consequence evaluation" is finally formed. The method is applied to the Yincungang River in the Yixing River Network, and the response of sensitive receptors to the discharge status of risk sources under different water regime is analyzed. The results show that: (a) the duration of the impact from the accident, the maximum standard-exceeding multiple of water quality and the degradation degree of water quality in the sensitive receptors are positively related to the discharge intensity or discharge time of the accident source, but the response time from the accidental impact is negatively related to them. (b) during the non-flood season, the warning situation in the Yincungang River shows a gradual decrease from upstream to downstream; during the main flood season, the warning situation in the upper and middle reaches of Yincungang River shows a decreasing trend, but in the middle and lower reaches that increases.(c) the transport distance and speed of accidental pollutants in the river and the concentration of accidental pollutants in the background at the sensitive receptors determine the quantitative early warning indexes dynamically, which is the fundamental reason for the spatial change of warning situation in different water regime.</p>


Water ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1268 ◽  
Author(s):  
Yao Xiao ◽  
Suiliang Huang ◽  
Jianguo Zhou ◽  
Fanqing Kong ◽  
Mingzhe Liu ◽  
...  

Upper-middle reaches of Luanhe River Basin belongs to Haihe River Basin and it is a pretty important water source to North China, especially to Tianjin and Tangshan Cities, Hebei. Based on control units of the water function areas and the sub-basins the working units were produced. The index system for environmental risk source hazard was constructed by adopting the pressure state response (PSR) environmental analysis model. The environment risk sources are identified, and their hazard grade assessment is performed. In the environmental risk source hazard an assessment index system, namely “downstream characteristics of environmental risk sources” is added by taking the fact into account that environmental risk sources themselves are affected by different functional areas (working units) downstream of the rivers. Through collecting hazard data, determining their standards and weights for environment risk sources, the fuzzy comprehensive evaluation method is used to calculate the risk source hazard grades and the vulnerability grades of the working units. Using the one-dimensional exponential decay river model for pollutants in rivers, the hazard grade evaluation method of working units is established. This consists of two parts: (1) The risk source hazard grade of the working unit itself, and (2) the impact of the risk sources upstream on the working unit downstream of the rivers. Combining the hazard grade with the vulnerability grade of the working unit, the risk grade of the working unit is evaluated through the risk matrix. The risk zones of the watershed are realized by merging working units in the same control units of the water function areas with the same risk grades. The risk zoning of sudden water pollution incidents in the upper and middle reaches of Luanhe River Basin is obtained by applying the above risk zoning method. It is found that there are 55 risk zones in total, including three highest risk zones, 15 higher risk zones, 14 lower risk zones, 23 lowest risk zones. These results indicate that the upper and middle reaches of River Luanhe are overall at low risk. The corresponding management methods for the different risk zones are suggested.


2021 ◽  
Author(s):  
Stefan Krause ◽  

<p>It is probably hard to overestimate the significance of the River Ganges for its spiritual, cultural and religious importance. As the worlds’ most populated river basin and a major water resource for the 400 million people inhabiting its catchment, the Ganges represents one of the most complex and stressed river systems globally. This makes the understanding and management of its water quality an act of humanitarian and geopolitical relevance. Water quality along the Ganges is critically impacted by multiple stressors, including agricultural, industrial and domestic pollution inputs, a lack and failure of water and sanitation infrastructure, increasing water demands in areas of intense population growth and migration, as well as the severe implications of land use and climate change. Some aspects of water pollution are readily visualised as the river network evolves, whilst others contribute to an invisible water crisis (Worldbank, 2019) that affects the life and health of hundreds of millions of people.</p><p>We report the findings of a large collaborative study to monitor the evolution of water pollution along the 2500 km length of the Ganges river and its major tributaries that was carried out over a six-week period in Nov/Dec 2019 by three teams of more than 30 international researchers from 10 institutions. Surface water and sediment were sampled from more than 80 locations along the river and analysed for organic contaminants, nutrients, metals, pathogen indicators, microbial activity and diversity as well as microplastics, integrating in-situ fluorescence and UV absorbance optical sensor technologies with laboratory sample preparation and analyses. Water and sediment samples were analysed to identify the co-existence of pollution hotspots, quantify their spatial footprint and identify potential source areas, dilution, connectivity and thus, derive understanding of the interactions between proximal and distal of sources solute and particulate pollutants.</p><p>Our results reveal the co-existence of distinct pollution hotspots for several contaminants that can be linked to population density and land use in the proximity of sampling sites as well as the contributing catchment area. While some pollution hotspots were characterised by increased concentrations of most contaminant groups, several hotspots of specific pollutants (e.g., microplastics) were identified that could be linked to specific cultural and religious activities. Interestingly, the downstream footprint of specific pollution hotspots from contamination sources along the main stem of the Ganges or through major tributaries varied between contaminants, with generally no significant downstream accumulation emerging in water pollution levels, bearing significant implications for the spatial reach and legacy of pollution hotspots. Furthermore, the comparison of the downstream evolution of multi-pollution profiles between surface water and sediment samples support interpretations of the role of in-stream fate and transport processes in comparison to patterns of pollution source zone activations across the channel. In reporting the development of this multi-dimensional pollution dataset, we intend to stimulate a discussion on the usefulness of large river network surveys to better understand the relative contributions, footprints and impacts of variable pollution sources and how this information can be used for integrated approaches in water resources and pollution management.</p>


2019 ◽  
Vol 80 (7) ◽  
pp. 1238-1248
Author(s):  
Fanghui Pan ◽  
Youbao Wang ◽  
Xinxi Zhang

Abstract The frequent occurrence of sudden water pollution accidents has become a major threat to water environment safety. Although most researches have focused on constructing a pollutant source identification model and risk assessment methods for dealing with sudden water pollution accidents, a real-time, effective emergency measure for controlling pollutant diffusion, isolating and removing the pollutant, aiming at sudden water pollution accidents, has not been emphasized. Therefore, in this paper, a novel emergency approach of soft isolation was investigated to control pollution diffusion and decrease damage as soon as the accident occurred. In stage 1, the feature of pollution diffusion regarding a sudden water accident was predicted through a water quality model using computational fluid dynamics (CFD). Then, a design scheme of soft isolation was constructed in stage 2 to isolate the polluted zone and attention was paid to optimizing the parameters of soft isolation. Ultimately, the mathematical model of complete purification was formulated in stage 3 to remove the pollution from the impacted zone. The results indicated that the emergency measure of soft isolation could have significant potential to control and isolate pollution occurring in a sudden water pollution accident in the future.


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