Metal and pesticide pollution scenario in Ganga River system

2013 ◽  
Vol 16 (4) ◽  
pp. 454-464 ◽  
Author(s):  
Srikanta Samanta
Keyword(s):  
River System ◽  
Ganga River ◽  
Pesticide Pollution

scholarly journals Fishing methods in upper Ganga River system of Central Himalaya, India

2014 ◽  
Vol 2 (3) ◽  
pp. 195 ◽  
Author(s):  
Gurnam Singh ◽  
Naresh Kumar Agarwal
Keyword(s):  
Water Resources ◽  
Traditional Knowledge ◽  
River System ◽  
Ganga River ◽  
Large Network ◽  
Central Himalaya ◽  
System Study ◽  
Remote Areas ◽  
Fish Resources ◽  
Garhwal Region

Present study on fishing methods in the upper Ganga River system was conducted during the period 2010-2012. Upper Ganga river system consists of two major rivers basins viz. Alaknanda and Bhagirathi rivers and number of their 1st and 2nd order tributaries which flows through Garhwal region (Central Himalaya). This large network of fluvial water resources harbours rich Ichthyofaunal diversity. The varied potential of fish resources from these water bodies permits the utilization of wide array of fishing methods. Most of the fishing methods of the Garhwal region are primitive, based on indigenous traditional knowledge and well suited to turbulent nature of the streams. In present study eighteen fishing methods and gears have been documented from the upper Ganga River system. Study observed season, habitat and species specificity of the fishing methods. The utilization of crude and unscientific fishing methods is frequent in the streams of remote areas resulting into decline in fish resource. All the fishing methods employed in upper Ganga River system are classified into four types. The classification is based on their utilisation up to the level which will allow the sustainable harvesting and proper management of valuable fish resources.

scholarly journals Impacts and vulnerability of inland fisheries to climate change in the Ganga River system in India

2013 ◽  
Vol 16 (4) ◽  
pp. 415-424 ◽  
Author(s):  
M. K. Das ◽  
A. P. Sharma ◽  
S. K. Sahu ◽  
P. K. Srivastava ◽  
A. Rej
Keyword(s):  
Climate Change ◽  
River System ◽  
Ganga River ◽  
Inland Fisheries

scholarly journals First record of exotic alligator gar, Atractosteus spatula (Actinopterygii: Lepisosteiformes: Lepisosteidae), from Ganga River system, India: A possible threat to indigenous riverine fish diversity

2021 ◽  
Vol 51 (4) ◽  
pp. 385-391
Author(s):  
Ranjan Kumar Manna ◽  
Archisman Ray ◽  
Supriti Bayen ◽  
Tanushree Bera ◽  
Debashis Palui ◽  
...  
Keyword(s):  
Environmental Parameters ◽  
River System ◽  
First Record ◽  
Ganga River ◽  
Predatory Fish ◽  
Fish Diversity ◽  
Exotic Fish ◽  
Alligator Gar ◽  
Riverine Fish ◽  
Atractosteus Spatula

A new record of an exotic alligator gar, Atractosteus spatula (Lacepède, 1803), from an open wetland of the Ganga River was presented in this paper and discussed along with the environmental parameters. Entry of the exotic fish into the natural system was probably a result of uncontrolled ornamental fish trading. Considering threats of this predatory fish to become invasive and disturb riverine fish diversity, possible ways to avoid such risk have been discussed.

scholarly journals Nutrient chemistry and eutrophication risk assessment of the Ghaghara River, India

2021 ◽  
Author(s):  
Nirdesh Kumar Ravi ◽  
Atul Srivastava ◽  
Kirpa Ram ◽  
Pawan Kumar Jha
Keyword(s):  
Inorganic Nitrogen ◽  
River System ◽  
Ganga River ◽  
Anthropogenic Sources ◽  
Phosphate Limitation ◽  
Molar Ratio ◽  
Specific Yield ◽  
Dissolved Silica ◽  
Molar Ratios ◽  
Nutrient Chemistry

Abstract This study was carried out to evaluate the eutrophication risk associated with the nutrient flux from the Ghaghara river by using nutrient molar ratios and indicators for coastal eutrophication potential values. The concentration of ammonium (3–8 times), nitrate (3–10 times), and phosphate (3–4.5 times) in the Ghaghara river were higher than the reported value for the unpolluted rivers indicating the contribution from the anthropogenic sources. The dissolved nutrients concentration showed significant seasonal variations in the Ghaghara river system. The specific yield of nitrate-N, phosphate-P, and dissolved silica-Si from the Ghaghara river were 0.49, 0.03 and 0.96 tons km−2 yr−1 respectively. The average molar ratio for dissolved inorganic nitrogen (DIN)/Dissolved inorganic Phosphate (DIP) was above 16:1, indicated phosphate limitation in biological productivity. In contrast, an average molar ratio of Dissolved inorganic Silica (DSi)/DIN of 4.6 ± 4.4 favored the diatom growth in the Ghaghara river. The negative value of P-ICEP (-2.93 kg C. km−2day−1) indicated phosphate limitation in the Ghaghara river. The positive value of N-ICEP (1.71 kg C·km−2day−1) indicates an excess of nitrogen over silica transport from the Ghaghara river to the Ganga river, which can create an eutrophication problem in the Ganga river.

Assessing the impacts of climate change and socio-economic changes on flow and phosphorus flux in the Ganga river system

2015 ◽  
Vol 17 (6) ◽  
pp. 1098-1110 ◽  
Author(s):  
L. Jin ◽  
P. G. Whitehead ◽  
S. Sarkar ◽  
R. Sinha ◽  
M. N. Futter ◽  
...  
Keyword(s):  
Climate Change ◽  
Natural Environment ◽  
River System ◽  
Anthropogenic Climate Change ◽  
Ganga River ◽  
Economic Changes ◽  
System P ◽  
Phosphorus Flux ◽  
The World ◽  
Impacts Of Climate Change

Anthropogenic climate change has impacted and will continue to impact the natural environment and people around the world.

HPI appraisal of concentrations of heavy metals in dynamic and static flow of Ganga River System

2018 ◽  
Vol 22 (1) ◽  
pp. 33-46 ◽  
Author(s):  
Gagan Matta ◽  
Avinash Kumar ◽  
A. K. Tiwari ◽  
Pradeep K. Naik ◽  
R. Berndtsson
Keyword(s):  
Heavy Metals ◽  
River System ◽  
Ganga River ◽  
Static Flow

Dynamic modeling of the Ganga river system: impacts of future climate and socio-economic change on flows and nitrogen fluxes in India and Bangladesh

2015 ◽  
Vol 17 (6) ◽  
pp. 1082-1097 ◽  
Author(s):  
P. G. Whitehead ◽  
S. Sarkar ◽  
L. Jin ◽  
M. N. Futter ◽  
J. Caesar ◽  
...  
Keyword(s):  
Dynamic Modeling ◽  
Economic Change ◽  
River System ◽  
Future Climate ◽  
Ganga River ◽  
Nitrogen Fluxes ◽  
System P

This study investigates the potential impacts of future climate and socio-economic change on the flow and nitrogen fluxes of the Ganga river system.

scholarly journals MaxEnt distribution modeling for predicting Oreochromis niloticus invasion into the Ganga river system, India and conservation concern of native fish biodiversity

2021 ◽  
Vol 24 (2) ◽  
pp. 43-51
Author(s):  
Atul K. Singh ◽  
Sharad C. Srivastava ◽  
Pushpendra Verma
Keyword(s):  
Water Quality ◽  
Distribution Pattern ◽  
Oreochromis Niloticus ◽  
Predictor Variable ◽  
Uttar Pradesh ◽  
River System ◽  
Ganga River ◽  
Exotic Fish ◽  
Data Set ◽  
Maxent Model

Abstract In order to assess the distribution pattern and understand the prevailing factors for predicting further expansion of an exotic fish Oreochromis niloticus, this study was undertaken in the Ganga river flowing through the state of Uttar Pradesh using MaxEnt model. The authors report the distribution pattern of O. niloticus and prevailing causative factors mounting the expansion of O. niloticus in the Ganges based on MaxEnt modeling technique. The presence only occurrence data-set for this invasive species was prepared from the field data and also from data collated from the authenticated publications of different fisheries researchers. The data-set was analyzed with environmental and topographical variables typically incorporating seasonal and temporal variability using MaxEnt, a maximum entropy algorithm which showed that the area under curve was much closer to 1 ( 0.999). The model predicted elevation as the most influential predictor variable with permutation importance of 69.2% followed by slope_steepness (10.1%), Tmax_1 (7.3%) and Srad_5 (6.8%). The findings from the results suggest that invasive O. niloticus tend to spread in rivers where elevation is lower as well as slope_steepness of the river is higher and thus indicated that invasion might be higher in the downstream of the river. The model suggests that topography and its derived variable are the most significant predictors for distribution of invasive O. niloticus. The results of this study also confirm that the water qualities of the Ganga river are suitable for O. niloticus and if the model is supplemented with water quality variables data, the influential predictor variable in water quality can be well investigated with permutation importance.

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