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Cellular automata(CA) have been increasingly used to simulate complex land use systems. Empirical data can be used to calibrate cellular automata models. Thus, realistic urban patterns can be generated. Traditionally, artificial neurology network(ANN) was used to calibrate cellular automata models. As artificial neurology network easily fall into local minimum value, the genetic algorithms neurology...
Standing the perspective of data mining and using the basic principles of artificial neural network to establish a average extreme rainfall prediction model which is based on BP neural netwok.This model only use the extreme precipitation indexes as the factors to predict the average extreme rainfall in the coming year.The model combined with stepwise regression to select input vectors and used bayesian...
In Three Gorges reservoir area of China, 3D visualization and analysis functions are widely needed in many works of geological hazard survey, inspection, pre-warning and treatment of local landslides and collapses, and decision making for emergency response. However, current 2D or 2.5D GIS system cannot satisfy all these kinds of requirements and a 3D visualization and analysis system of geological...
The aim of this project is to develop a river water pollution predictor. We present an improved Grey-based prediction algorithm to forecast the trend of the river water pollution. We adopted grey prediction as a forecasting means because of its fast calculation with as few as four data inputs needed. However, our preliminary study shows that the general Grey model, GM (1, 1) is inadequate to handle...
River temperature prediction is an important project in the environmental impact assessments. Based on river temperature data of Yichang hydrological station in the middle reach of the Yangtze River, BP neural network model based on particle swarm optimization (PSO) was applied to predict river temperature of the Yangtze River. PSO was used to optimize the initial weights of nodes in BP neural network...
One-dimensional DYRESM-CAEDYM model was used to study the effect of water transfer project on water quality of Chaohu Lake, which is situated in central Anhui Province, the lower reaches of Yangtze River. The simulated results of temperature, TN, TP showed good agreement with observed data in 2005. There was also good agreement between monitored data and simulated concentrations of chlorophyll-a although...
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