amir kabir dam was built in varian strait, at 23 km north of karaj in 1961. the dam is multipurpose and its maim aims are the spring floods control, supplying potable water for tehran city, producing electricity and providing irrigation water. different pollutants which discharge to the river finally enter to the dam reservoir. determining the pollution loads of the dam sub-catchments can help ...

We applied cluster analysis and principal component analysis (PCA) with multivariate linear regression (MLR) to apportion sources of polycyclic aromatic hydrocarbons (PAHs) in surface sediments of the Huangpu River in Shanghai, China, based on the measured PAH concentrations of 32 samples collected at eight sites in four seasons in 2006. The results indicate that petrogenic and pyrogenic source...

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 ...

Urban development and increased impervious surfaces have contributed to pollution loading in the Chattahoochee River and Proctor Creek, major urban waterways and receiving waters for Atlanta stormwater and wastewater effluent. The purpose of this study was to investigate spatial and temporal variation in E. coli and bacteriophage MS2 and relationships with Dissolved Oxygen, turbidity, rainfall,...

The development of a real-time monitoring tool for the estimation of water quality is essential for efficient management of river pollution in urban areas. The Gap River in Korea is a typical urban river, which is affected by the effluent of a wastewater treatment plant (WWTP) and various anthropogenic activities. In this study, fluorescence excitation-emission matrices (EEM) with parallel fact...

Zoning the pollution of a river may be the first or even the most important step in water quality management. In order to resolve its pollution, fuzzy clustering analysis may be used whenever a composite classification of water quality incorporates mutiple parameters&#10 &#10In such cases, the technique may be used as a complement or an alternative to comprehensive assessment. In fuzzy cluster...

The new model ArcEGMO-URBAN aims at deterministic and spatiotemporal modelling of water, nitrogen and phosphorus fluxes from all urbanised areas of a river basin considering all potential sources. Pollution loads are calculated for discrete urban patches and balanced on the level of hydrological subbasins. Modelling results can be defined by the user of any level of spatial and/or temporal aggr...

Using panel data on water pollution in Brazilian rivers, we study inter-jurisdictional externalities when more jurisdictions start managing the same river segment. Counties split at each election cycle, which change the locations of borders. This allow us to identify the effects of border crossings and the spatial pattern of pollution as rivers approach borders, controlling for fixed effects an...

The uncertainty of water quality predictions caused by uncertainty in the inputs related to emissions of diffuse pollution is analysed. An uncertainty analysis of the effects of diffuse pollution is essential to compare the cost and benefits of measures to lower those emissions. We focus on diffuse nitrate pollution due to fertiliser use. Using an efficient Monte Carlo method and Latin Hypercub...