Environmental risk assessment focused on water quality in the Laborec River watershed

Author(s):  
Martina Zeleňáková ◽  
Katarzyna Kubiak-Wojcicka ◽  
Roland Weiss ◽  
Erik Weiss ◽  
Hany F. Abd Elhamid
2014 ◽  
Vol 265 ◽  
pp. 280-287 ◽  
Author(s):  
Evgeny Galunin ◽  
Jeferson Ferreti ◽  
Iago Zapelini ◽  
Isadora Vieira ◽  
César Ricardo Teixeira Tarley ◽  
...  

2020 ◽  
Vol 12 (14) ◽  
pp. 5735
Author(s):  
Georgios Bartzas ◽  
Konstantinos Komnitsas

In this study, an integrated environmental risk assessment (ERA) study involving frequent monitoring of both water and soil parameters (24 on total), was carried out to assess and compare the environmental risk quality of three pistachio (Pistacia vera L.) fields (two in Aegina island and one in Kilkis) based upon risk categories identified and assessed in terms of quality and quantity. In this context, vertical profiles and risk matrices were created for a 60-month period for the most important soil and water parameters i.e., soil pH, soil organic matter, soil salinity, heavy metals, and irrigation water quality. According to the obtained results, the two pistachio fields in Aegina exhibited reduced overall risk values, i.e., 17% and 27%, respectively after the adoption of sustainable cultivation practices, thus reflecting a transition from “medium to high risk” to “low to medium risk” environmental quality. On the other hand, overall risk values for the pistachio field in Kilkis were reduced by 34% and were lower compared to the ones obtained for the pistachio fields in Aegina. The better environmental profile identified for the entire period in Kilkis ranging from “medium risk” to “low risk” was the result of lower inherent risk associated with irrigation water quality and soil salinity. The proposed methodology can be easily applied in other agricultural areas and for similar cultivations in Greece and other Mediterranean countries.


2019 ◽  
Vol 11 (19) ◽  
pp. 5403
Author(s):  
Pei Tian ◽  
Huaqing Wu ◽  
Tiantian Yang ◽  
Wenjie Zhang ◽  
Faliang Jiang ◽  
...  

Accidental pollution incidents have caused a major threat to water safety of drinking water sources. However, few studies have focused on quantitative risk assessment of pollution incidents in a watershed which contains drinking water sources. A coupling model consisting of the Seveso III Directive, SWAT, and MIKE21 models was constructed for risk assessment of sudden pollution incidents at the watershed scale. The potential hazard of risk sources (e.g., industrial enterprises), the vulnerability of risk receptors (e.g., drinking water intakes), and the environmental risk of different sub-regions of the watershed were evaluated by this model. In addition, a case study was applied in Hongfeng Lake watershed (HLW), where the Hongfeng Lake drinking water source is located. The results showed that about 68% of the industrial enterprises in the HLW were potentially hazardous according to the Seveso III Directive, including 5 high hazard enterprises, 13 medium hazard enterprises, and 37 low hazard enterprises, most of which were concentrated in the coal mining, chemical production, and building material industries. The HLW was divided into the Yangchang River watershed (YRW), the Maiweng River watershed (MRW1), the Maxian River watershed (MRW2), the Houliu River watershed (HRW), and the lake area by the hydrological characteristics, among which, the vulnerability index of YRW was the largest. Besides, it was essential to consider the vulnerability assessment of drinking water intakes when conducting an environmental risk assessment in the HLW. Regional environmental risk grade of YRW, MRW1, MRW2, HRW, and the lake area was high, medium, low, low, and none, respectively. The environmental risk assessment results showed good consistency with the pollution characteristics and spatial distribution of industrial enterprises in the HLW. Furthermore, the theory of a three-level prevention system for “risk sources–water body connection–water intakes” was proposed for environmental risk management in the HLW. Overall, the case study in the HLW indicated that the coupling model proposed in this study had a good compatibility for environmental risk assessment of sudden water pollution incidents in a watershed.


2021 ◽  
Vol 30 (1) ◽  
pp. 25-33
Author(s):  
Maria E. Daus ◽  
Yurii V. Daus

The Danube is a source of water for the household and industrial needs of Ukrainian population, industry and agriculture. The Danube waters are used for drinking centralized water supply in the cities of Kiliya and Vilkovo, as well as fisheries in the region. Therefore, it was important to carry out the “Environmental Risk Assessment for Drinking and Fisheries Use (on the example of the Danube River –the city Vilkovo)”. The purpose of the study was to evaluate the effectiveness of the application of the environmental risk criterion R on the basis of hydrochemical observations to verify the safety of drinking and fishery use. Analysis of environmental problems of the lower Danube River - Vilkovo; assessment of the environmental situation; calculation of water quality risk indicators according to the methodology of the Institute of Market Problems and Economic and Environmental Research of the NAS of Ukraine; establishing a link between water quality and risk is the finding of the research. It is established that the environmental situation is “critical” due to suspended substances, phenols, manganese and HCC for drinking water supply and “strained” through chromium, manganese, HCC, copper for fishery use. An assessment of the water quality by the modified Water Pollution Index (IWM) showed that the water is “moderately polluted” and “contaminated”. For both types of water use, normalized aggregated pollution indices were calculated taking into account the likelihood of a risk event occurring and R risk indicators were determined by year. It is established that there is a close linear relationship between WSS and R. It is shown that environmental risk estimates, based on the probability of exceeding concentrations of pollutants above the MPC, reflect well the ecological status of the water.


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