High-resolution monitoring of water quality and ecosystem functioning over large spatial scales in expansive lowland river catchments is challenging. Therefore, we need modeling tools to predict these processes at locations where observations are absent. Here, present a new approach estimate metabolism underpinned by high-resolution, process-based model in-stream flows quality. The overcomes th...

drinking water quality can be deteriorated by microbial and toxic chemicals during transport, storage and handling before using by the consumer. this study was conducted to evaluate the microbial and physicochemical quality of drinking water from bottled water coolers.a total of 64 water samples, over a 5-month period in 2012-2013, were collected from free standing bottled water coolers and wat...

to know the water quality characteristics of tehran subterranean canals, from 20 feb. 1978 to 23 sept. 1978, samples were taken from 23 of them by simple random sampling without replacement, and were analyzed according to the 14th edition of standards method for the examination of water and waste water 1975. arithmetic average concentration of water analyses of 23 subterranean canals were drawn...

neurotoxicants present in water supply may affect human functions in terms of attention, response speed and perceptual motor speed. neurobehavioural performance can be influenced by gender, age and education levels. this study aims to assess the neurobehavioral performance of palm oil estate residents with private water supply in southern peninsular of malaysia.a total of 287 and 246 participan...

 Background: Although experiments on water quality are time consuming and expensive, models are often employed as supplement to simulate water quality. Artificial neural network (ANN) is an efficient tool in hydrologic studies, yet it cannot predetermine its results in the forms of maps and geo-referenced data. Methods: In this study, ANN was applied to simulate groundwater quality ...