The Impact of Time-Integrating Active or Passive Sampling Methods on Bioanalytical Water Quality Risk Assessment

2021 ◽  
Author(s):  
Ron van der Oost ◽  
Jaap Postma ◽  
Willie van den Berg ◽  
Mai Nguyen ◽  
Corine Houtman ◽  
...  
Keyword(s):  
Water Quality ◽  
Risk Assessment ◽  
Passive Sampling ◽  
Sampling Methods ◽  
Quality Risk ◽  
The Impact

Water Quality Risk Assessment from Roadway Substructures Employing Fly Ash

2016 ◽  
Author(s):  
Brigitte L. Brown ◽  
Craig H. Benson ◽  
Tuncer B. Edil ◽  
Sabrina L. Bradshaw
Keyword(s):  
Water Quality ◽  
Risk Assessment ◽  
Fly Ash ◽  
Quality Risk

scholarly journals Passive sampling methods for contaminated sediments: Risk assessment and management

2014 ◽  
Vol 10 (2) ◽  
pp. 224-236 ◽  
Author(s):  
Marc S Greenberg ◽  
Peter M Chapman ◽  
Ian J Allan ◽  
Kim A Anderson ◽  
Sabine E Apitz ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Passive Sampling ◽  
Sampling Methods ◽  
Contaminated Sediments ◽  
Risk Assessment And Management

scholarly journals Multivariate statistical evaluation of dissolved heavy metals and a water quality assessment in the Lake Aha watershed, Southwest China

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9660
Author(s):  
Shilin Gao ◽  
Zhuhong Wang ◽  
Qixin Wu ◽  
Jie Zeng
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Risk Assessment ◽  
Mine Drainage ◽  
Principal Component ◽  
Water Quality Assessment ◽  
Multivariate Statistical ◽  
Small Watersheds ◽  
Dissolved Heavy Metals ◽  
The Impact

Heavy metals are of public concern in aquatic ecosystems due to their growing release from industries and mining activities. This study investigated the sources, temporal-spatial distributions and water quality of dissolved heavy metals (Mn, Co, Al, Ni, Ba, V, Sb, Fe, Sr) in the Lake Aha watershed, an area under the influence of sewage and acid mining drainage. These heavy metals displayed significant spatial and temporal variabilities. The water quality index results (WQI values ranged from 3.21 to 15.64) and health risk assessment (all hazard indexes are below 1) indicated that dissolved heavy metals in this study pose a low risk for human health. Correlation analysis and principal component analysis indicated that Fe and Sr mainly presented a natural geological feature in the study area, and Mn, Co, Al and Ni were influenced by the acid coal mine drainage, whereas Ba, V and Sb were under the impact of local industrial or medical activities. This study provides new insights into the risk assessment of heavy metals in small watersheds.

River Water Quality Risk Assessment Using Grey Correlation in Baoji Weihe River of China

2015 ◽  
Vol 737 ◽  
pp. 677-680
Author(s):  
Yin Ge Liu ◽  
Yi Xuan Yang ◽  
Lin Gang Wang
Keyword(s):  
Water Quality ◽  
Risk Assessment ◽  
River Water ◽  
River Water Quality ◽  
Actual Condition ◽  
Grey Theory ◽  
Risk Class ◽  
Grey Correlation ◽  
Weihe River ◽  
Quality Risk

Based on the grey theory, a grey correlation evaluation model (GCEM) was built for risk assessment of river water quality. Five pollutants are used for risk assessment indicators, while the risk class was determined by the maximum principle. The results indicate that the water quality risk is higher in Baoji Weihe River of China. Potassium permanganate index risk is the maximum and the second is BOD5. The comparison with other methods confirmed that evaluation of GCEM is agreement with the actual condition. Moreover, this method is simple and solid for water risk evaluation and would be used for rive water environmental administration.

scholarly journals Impacts of wastewater discharge from Kalar city on Diyala-Sirwan river water quality, Iraq: pollution evaluation, health risks of heavy metals contamination

2021 ◽  
Vol 11 (4) ◽  
Author(s):  
Hayder Mohammed Issa ◽  
Azad H. Alshatteri
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Risk Assessment ◽  
Health Risk ◽  
River Water ◽  
Health Risk Assessment ◽  
River Water Quality ◽  
Wastewater Discharge ◽  
Discharge Point ◽  
The Impact

AbstractIn this work, a comprehensive assessment has been performed to understand impact of wastewater discharge from Kalar city on water quality parameters of Diyala-Sirwan river, Iraq. Levels of physicochemical parameters of Ca, K, Na, Mg, pH, electrical conductivity, dissolved oxygen, total dissolved solid, turbidity, biological oxygen demand, and total hardness, and heavy metals of Fe, Mn, Ni, Cu, Zn, Hg, Al, Ba, Se, and As have been determined by inductively coupled plasma optical emission spectroscopy and other devices. Pollution indices, health risk assessment, and multivariate analysis have been applied to evaluate pollution intensity originated from wastewater discharge on river water quality at different locations, before and after the impact point. Pollution levels of slight to moderate have been identified using different indices for the river water at all sampling locations after the wastewater discharge point. Cluster and correlation analyses showed that the impact of wastewater discharge on the river water quality was occurring along the river within the study area. Non-carcinogenic health risk assessment for heavy metals in the river, indicating a potential risk, might on people's health, especially after discharge point. Furthermore, a significant effect of carcinogenic risk by heavy metals of As and Hg was recognized in the same area. This study thus helps to understand clearly the alteration that happened in the water quality of Diyala-Sirwan river due to the discharge of untreated wastewater from Kalar city.

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