Water quality and health risk assessment of lakes in arid regions, case study: Chahnimeh reservoirs in Sistan and Baluchestan Province, SE Iran

Shakeri, Ata; Rezaei, Mohsen; Barmaki, Majid Dashti; Mehr, Meisam Rastegari; Amjadian, Keyvan

doi:10.1007/s12517-021-08051-w

Cited by 8 publications

(5 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Determining water quality by interpreting many parameters affecting water quality at the same time is complex and costly and takes a long time. For this reason, WQI models are used, which provide a more understandable interpretation of water quality. ,− The WQI is used to evaluate the overall quality of water and represents a single number that can be easily calculated. The WQI is a single value obtained by a quick and simple method and its corresponding.…”

Section: Water Quality Index (Wqi)mentioning

confidence: 99%

Evaluation of the Geogenic-Effected Groundwater Antimony Pollution, in the Settlement Area, Utilizing the Water Quality Index and Health Risk Assessments: A Case Study from Kiraz Basin, İzmir, Turkiye

Somay-Altaş

Gokcen-Yilmaz

2023

ACS Earth Space Chem.

View full text Add to dashboard Cite

Access to clean water has gained great importance, especially in urban areas, in connection with drought within the framework of climate change. This study was carried out with hydrogeochemical investigation in a district of İzmir, the 3rd largest city of Turkiye, which contains economic natural ore deposits (Sb, Hg, and Pb-Zn). The heavy metal content of groundwater has great importance in and around the ore deposits for health risk assessments (HRA) and water quality index (WQI) interpretations. Groundwater samples in the study area were taken from different units such as gneiss, marble, schist, and alluvium. The electrical conductivity of water varies between 466 and 2720 μS/cm. The waters are of NaCaHCO3 and CaNaHCO3 water types. Silicate and carbonate weathering were seen in the waters taken from gneiss/schist and marble/alluvium, respectively. Al, Ni, and Sb values of groundwater exceeded the drinking water standards. Sb concentrations can reach 967 ppb, and all waters are oversaturated with Sb(OH)3. It is thought that Sb mixes with groundwater along faults from mineralization zones. According to the WQI, the groundwater is not suitable for drinking. If the presence of ore deposits is neglected in the WQI, water that is dangerous for drinking is incorrectly considered ″drinkable″. The HRA was calculated for Al, Cu, Fe, Mn, Ni, Sb, and Zn parameters. The hazard coefficient of Sb is more than 1 for adults and children. The most striking effect of Sb compounds is that they disrupt the heart rhythm and cause irreparable damage to the nervous system.

show abstract

Section: Water Quality Index (Wqi)mentioning

confidence: 99%

Evaluation of the Geogenic-Effected Groundwater Antimony Pollution, in the Settlement Area, Utilizing the Water Quality Index and Health Risk Assessments: A Case Study from Kiraz Basin, İzmir, Turkiye

Somay-Altaş

Gokcen-Yilmaz

2023

ACS Earth Space Chem.

View full text Add to dashboard Cite

show abstract

“…Hosseini et al 13 investigated the application of WQI and hydro-geochemistry for surface water quality assessment of Chahnimeh reservoirs in the Sistan and Baluchestan Province, Iran. They revealed that the WQI zoning index showed a decrease in water quality in April compared to September, which can be attributed to a decrease in water level due to lack of water flow into reservoirs, high evaporation in the region and the continued entry of anthropological pollutants.…”

Section: Groundwater Quality Of Qanats Based On Gwqimentioning

confidence: 99%

“…12 WQI is also an easy way to -classify water quality. 13 This index is one of the most effective tools for conveying information about the quality of water for citizens, government officials and policymakers. 14 Another indicator of water quality evaluation is the river pollution index (RPI) which is an integrated index used to find the level of contamination based on DO, BOD, TSS and NH3-N parameters.…”

Section: Introductionmentioning

confidence: 99%

“…17 Hosseini et al assessed the quality of surface water of Chahnimeh reservoirs in Sistan and Baluchestan province, Iran in 2019 using WQI and hydro-geochemistry. 13 They found that the water quality of the wells was in the range of good to poor water categories based on the WQI value. Bahrami and Dastourani 18 evaluated the groundwater quality in the Plain of Sarayan in South Khorasan Province, Iran in 2019.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Determination and Classification of Qanat Water Quality Based on Groundwater Quality Indices in East of Tehran, Iran

Salarian,

Mackialeagha,

Behbahaninia

2023

Journal of Advances in Environmental Health Research

View full text Add to dashboard Cite

Background: Qanat is a valuable source of groundwater, the maintenance of which requires quantitative and qualitative monitoring. Since the qanat water is currently used in some parts of Iran for drinking and agricultural purposes, its quality management is of great importance. This study aimed to evaluate the water quality of the qanat in the eastern areas of Tehran. Methods: Water sampling was performed in eight qanats in the east of Tehran in triplicate (mother well and one of the access shafts and outlet) during the summer of 2020. The measured parameters were pH, total dissolved solids (TDS), electrical conductivity (EC), CO3 2-, HCO3 - , Na2+, Ca2+, Mg2+, K+, Cl- , NO3 , SO4 2-, total hardness (TH) and total alkalinity (TA). The quality was assessed according to the standards introduced by the World Health Organization (WHO) and Food and Agriculture Organization. Groundwater quality index (GWQI) was used to classify the samples. Results: The lowest (56.05) and the highest (2058.58) GWQI scores corresponded to qanats 5 (Elimon) and 8 (Aminabad) with good and very poor quality, respectively. There was a decrease in the water quality of qanats 8 (Aminabad), 7 (Sulaymaniyah), 6 (Mehdiabad) and 2 (Majidieh), respectively. Conclusion: The quality of the qanats were in the range of good to very poor. The reasons for difference in water quality could be due to the direction of anthropological pollutants and geological structures. To control the water quality of the qanats in the east of Tehran, the quality monitoring network is recommended to be designed for various pollutants and optimized for long term.

show abstract

“…National research institutions typically utilize a range of indices to reflect the ecological condition of an area [26]. These indices encompass various facets of the ecological environment, such as the air quality index (AQI) [27], the water bodies quality index [28], and soil health [29]. Rather than focusing on singular metrics, these indices integrate multiple crucial parameters to offer a comprehensive and accurate assessment of the environmental condition.…”

Section: Introductionmentioning

confidence: 99%

Coupling RESI with Multi-Scenario LULC Simulation and Spatiotemporal Variability Analysis: An Ecological Spatial Constraint Approach

Jiang,

Shi,

Liang

et al. 2023

Sustainability

View full text Add to dashboard Cite

Southwest China’s arid river valleys represent ecologically vulnerable areas with intense human activity. Understanding the historical changes in LULC and land cover and projecting the impacts of various development scenarios on future LULC have become crucial for regional spatial information management and territorial spatial planning. This research analyzes the land-use changes in the Yuanmou dry-hot valley over a 30-year span from 1990 to 2020. Building upon the PLUS model, we established a coupled habitat quality spatial and multi-scenario land-use simulation model. Four development scenarios were proposed: natural progression, economic development, ecological conservation, and balanced development. We conducted simulations and evaluations of land-use in the Yuanmou dry-hot valley for 2030 using the PLUS mode, assessing the sustainability of future development scenarios under varying ecological constraints. During the simulation, three distinct RESI regions were employed as restricted development zones, integrating the three ecological constraints with the four simulation scenarios. We introduced a novel approach based on ecological environmental quality as the ecological constraint, providing a scientific reference for sustainable development in ecologically vulnerable areas. The results indicate that under ecological conservation scenarios with high-to-low RESI constraints, the ecological environment is superior to the other three scenarios. The results show the following: (1) From 1990 to 2020, aside from a continuous decrease in grassland area, there was an increasing trend in the areas of water bodies, forests, croplands, construction lands, and unused lands in the Yuanmou dry-hot valley. (2) By 2030, under all four development scenarios, the cropland area is expected to expand rapidly, while forested areas will decrease; grassland areas will decline under natural and economic development scenarios but show opposite trends under the other scenarios; and construction land and unused land areas will decrease under the ecological conservation and balanced development scenarios. (3) Land-use intensity analysis for the four scenarios indicated that, by 2030, unused lands in the Yuanmou dry-hot valley are more likely to be converted into water bodies, forests are more likely to be converted into croplands and grasslands, grasslands are more likely to be converted into croplands, croplands are more likely to be converted into grasslands, and construction lands are more likely to become unused lands. (4) Sustainable LULC management evaluations based on landscape indices reveal that ecological conservation and balanced development scenarios exhibit superior landscape connectivity and clustering. Thus, the balanced development scenario is the most appropriate LULC strategy for the Yuanmou dry-hot valley in the future. These findings provide scientific references for balancing ecological conservation and economic development in the arid river valleys of Southwest China.

show abstract

Water quality and health risk assessment of lakes in arid regions, case study: Chahnimeh reservoirs in Sistan and Baluchestan Province, SE Iran

Cited by 8 publications

References 59 publications

Evaluation of the Geogenic-Effected Groundwater Antimony Pollution, in the Settlement Area, Utilizing the Water Quality Index and Health Risk Assessments: A Case Study from Kiraz Basin, İzmir, Turkiye

Evaluation of the Geogenic-Effected Groundwater Antimony Pollution, in the Settlement Area, Utilizing the Water Quality Index and Health Risk Assessments: A Case Study from Kiraz Basin, İzmir, Turkiye

Determination and Classification of Qanat Water Quality Based on Groundwater Quality Indices in East of Tehran, Iran

Coupling RESI with Multi-Scenario LULC Simulation and Spatiotemporal Variability Analysis: An Ecological Spatial Constraint Approach

Contact Info

Product

Resources

About