—The diatom flora of selected sites in the Animas River Watershed, San Juan County, Colorado, was studied. Eighty diatom taxa were identified from 10 sites: 8 sites on the Animas River and 1 site each on the Cement and Cascade tributaries. The sample diatom abundance was dominated by Achnanthidium minutissimum, Encyonema silesiacum, Aulacoseira distans, Hannaea arcus, and Diatoma mesodon. The p...

In this paper we study international river pollution problems. We introduce a model in which the agents (countries) located along a river derive benefit while causing pollution, but also incur environmental costs of experiencing pollution from all upstream agents. We find that total pollution in the model decreases when the agents decide to cooperate. The resulting gain in social welfare can be...

Mobile phone based potable water quality assessment device is developed to analyze and study water pollution level at Indus river. Indus river is habitat of endangered Indus river dolphin and water pollution is one of major causes of survivability threats for this specie. We tested device performance at the six locations of Lahore canal. pH of canal water deviates from the normal range of the i...

The concentrations of heavy metals in 21 samples collected from surface sediments from the Qinghai section of the Yellow were investigated in order to evaluate their distribution and pollution levels. The total concentrations showed wide variations with Cu 11.86~57.02 mg/kg, Fe 17236.67~41340.00 mg/kg, Mn 431.93~877.27 mg/kg, Ni 14.58~86.11 mg/kg, Zn 67.18~149.00 mg/kg, Cr 87.84~169.70 mg/kg, P...

Accurate estimation of the variability of heavy metals in river water and the hyporheic zone is crucial for pollution control and environmental management. The biotoxicities and potential ecological risks of heavy metals (Cu, Zn, Pb, Cd) in a solid-liquid two-phase system were estimated using the Geo-accumulation Index, Potential Ecological Risk Assessment and Quality Standard Index methods in ...

Multivariate statistical techniques, such as cluster analysis and principal component analysis (PCA), were applied for evaluation of spatial variations and interpretation of large complex water quality data set of the Ganga river basin, generated during one year (2013-2014) monitoring of eight water parameters at seven different sites. Hierarchical cluster analysis grouped seven sampling sites ...

Heavy metal (Cr, Ni, Cu, Zn, Cd, and Pb) pollution, fractionation, and ecological risks in the sediments of Lake Chaohu (Eastern China), its eleven inflowing rivers and its only outflowing river were studied. An improved BCR (proposed by the European Community Bureau of Reference) sequential extraction procedure was applied to fractionate heavy metals within sediments, a geoaccumulation index w...