Seasonal Variation of Heavy Metals and Fish Diversity on Different Open Cast Coal Mine Pits of Satgram and Kajora Areas Raniganj, West Bengal, India

2020 ◽  
Vol 13 (4) ◽  
pp. 2226-2232
Author(s):  
Dibyendu Saha
2013 ◽  
Vol 32 (3) ◽  
pp. 241-247 ◽  
Author(s):  
Jingsen Fan ◽  
Yuzhuang Sun ◽  
Xinyu Li ◽  
Cunliang Zhao ◽  
Duanxin Tian ◽  
...  

2019 ◽  
Author(s):  
Lubna Alam ◽  
Md. Mahmudul Alam ◽  
Mazlin Bin Mokhtar ◽  
Azizul Bar ◽  
Nicholas Kathijotes ◽  
...  

Heavy metals are widely used in various industries and became a great concern all over the world due to environmental contamination. This study provides an assessment of seasonal variability and risks to human health associated with the exposure to heavy metals concentrated in Langat river water of Malaysia. The Department of Environment (DOE) Malaysia kindly provided the heavy metal concentration data in water for this study. Several multivariate estimation such as an independent t test, box-and-whisker plot and Principal component analysis were carried out to evaluate the seasonal variation of metals concentration in water. The average value of ten analyzed metals was 250.81 µg/l and followed in order of abundance by August > Jun > February > October > April > December > March > May > September > January > July > November. The calculated HPI was 123.42, which is far above the critical index value of 100, indicating pollution with respect to heavy metals. Estimates of health risks associated with river water were summarized according to non-carcinogenic and carcinogenic health effects. No potential threat was detected for noncarcinogenic risk as the HI values calculated were <1. Potential carcinogenic risks associated with the ingestion and dermal absorption of heavy metals in water were evaluated probabilistically by performing 10,000 trails for Monte Carlo simulation where potential carcinogenic risk exists in case of Cd and As.It is necessary to take proper steps to reduce the pollution of heavy metals in Langat River.


2020 ◽  
Vol 26 (2) ◽  
Author(s):  
Manab Kumar Saha

Fish diversity depends both on various physicochemical parameters and the biological components of the riverine ecosystem. During the study period from January 2017 to December 2019 the highest fish diversity and density were observed in post-monsoon and lowest in pre-monsoon season in the Kangsabati River, Purulia District of West Bengal. Twenty five fish species, associated with 19 genera, 10 families and 5 orders have been identified. It was recorded that the Cyprinidae was the predominant family, which represented 56% of the entire fish catch.


2015 ◽  
Vol 9 (4) ◽  
Author(s):  
Irina Nikolaevna Egorova ◽  
Olga Alexandrovna Neverova ◽  
Lyubov Sergeevna Dyshlyuk

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