AIMC Topic: Environmental Monitoring

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Part 1. Statistical Learning Methods for the Effects of Multiple Air Pollution Constituents.

Research report (Health Effects Institute)
INTRODUCTION: The United States Environmental Protection Agency (U.S. EPA*) currently regulates individual air pollutants on a pollutant-by-pollutant basis, adjusted for other pollutants and potential confounders. However, the National Academies of S...

Artificial neural network modeling of the water quality index using land use areas as predictors.

Water environment research : a research publication of the Water Environment Federation
This paper describes the design of an artificial neural network (ANN) model to predict the water quality index (WQI) using land use areas as predictors. Ten-year records of land use statistics and water quality data for Kinta River (Malaysia) were em...

[Monitoring of the Moskva River Water Using Microbiological Parameters and Chlorophyll a Fluorescence].

Mikrobiologiia
The results of investigations of three Moskva River sites with different degree of pollution using a complex of microbiological characteristics and the parameters of chlorophyll a fluorescence are presented. We determined that the bacterioplankton se...

Determination of number of check dams by artificial neural networks in arid regions of Iran.

Water science and technology : a journal of the International Association on Water Pollution Research
An artificial neural network (ANN) model with six hydrological factors including time of concentration (TC), curve number, slope, imperviousness, area and input discharge as input parameters and number of check dams (NCD) as output parameters was dev...

Adaptive neuro-fuzzy inference system for real-time monitoring of integrated-constructed wetlands.

Water science and technology : a journal of the International Association on Water Pollution Research
Monitoring large-scale treatment wetlands is costly and time-consuming, but required by regulators. Some analytical results are available only after 5 days or even longer. Thus, adaptive neuro-fuzzy inference system (ANFIS) models were developed to p...