A Bayesian approach was applied to river water quality modeling (WQM) for load and parameter estimation. A distributed-source model (DSM) was used as the basic model to support load reduction and effective water quality management in the Hun-Taizi River system, northeastern China. Water quality was surveyed at 18 sites weekly from 1995 to 2004; biological oxygen demand (BOD) and ammonia (NH(4)(...

This case study uses several univariate and multivariate statistical techniques to evaluate and interpret a water quality data set obtained from the Klang River basin located within the state of Selangor and the Federal Territory of Kuala Lumpur, Malaysia. The river drains an area of 1,288 km(2), from the steep mountain rainforests of the main Central Range along Peninsular Malaysia to the rive...

The integration between technology of remote sensing, information from the data of digital image, and modeling technology for the simulation of water quality will provide easiness during the observation on the quality of water changes on the river surface. For example, Ciliwung River which is contaminated with non-point source pollutant from household wastes, particularly on its downstream. Thi...

Anthropogenic salinization of rivers is an emerging issue of global concern, with significant adverse effects on biodiversity and ecosystem functioning. Impacts of freshwater salinization on biota are strongly mediated by evolutionary history, as this is a major factor determining species physiological salinity tolerance. Freshwater insects dominate most flowing waters, and the common lotic ins...

A detailed hydrographic survey of the water column of the Amazon shelf was performed using stable oxygen and hydrogen isotopes to determine the source and fate of waters on the shelf. δO-H2O and δD measurements were made on water column samples from approximately 60 stations (three depths per station) which were each collected during four Amasseds (A Multidisciplinary Amazon Shelf SEDiment Stud...

There is a growing need to use river water quality models for the development of river basin management plans. Substantial uncertainties exist in the identification of river water quality models which partially relates to parameter uncertainties and the information content of calibration data. The specific objectives of this study were to i) assess the parameter identification] of a river water...

Hodnotenie a charakterizácia vybraných škodlivín v prípade zdrojov povrchovej vody High quantities of organic matter can reduce the chemical and biological quality of river water. The key indicator of the oxygenation status of water bodies is the biological oxygen demand (BOD) and ammonium. These are main indicators for the water quality classification. Although countries have different river c...

background: this study was carried out to determination of heavy metals (cd, cr, cu, fe, pb, ni and zn) concentration in upstream and downstream of the entry of the wastewater (untreated urban, traditional slaughterhouse waste, leachate from solid wastes has accumulated in river and  run off waters flowing across the city ) to the tembi river. methods: samples were collected for 1 year, before ...

Background In the report to the Kansas Water Authority (KWA), the Kansas River Channel Degradation Technical Advisory Committee included among its recommendations that the State should update studies to evaluate changes in biodiversity in the Kansas River. At the recommendation of the Kansas Water Office, the KWA endorsed providing funding for the completion of an index of biological integrity ...