Showing 1 - 10 of 48
Forecasting urban water demand can be of use in the management of water utilities. For example, activities such as … resources at specified future dates. In this study, we tackle the problem of forecasting urban water demand by means of back … 7 year-long time series of water demand without additional predictors. Six forecasting horizons were considered, from 1 …
Persistent link: https://www.econbiz.de/10010997289
In this study, a nonparametric technique to set up a river stage forecasting model based on empirical mode …
Persistent link: https://www.econbiz.de/10010998087
This paper employed two classical, popular decision-tree algorithms (C5.0 and CART), and traditional Regression to deal with reservoir operations regarding decision of the releases from a reservoir system during floods. The experiment site was in Shihmen Reservoir, located in northern Taiwan. In...
Persistent link: https://www.econbiz.de/10010997288
forecasting in recent years. The primary objective of this study is to investigate the relatively new technique of artificial … neural networks for use in forecasting short-term water demand at the Indian Institute of Technology, Kanpur. Other … and time series models developed in this study. An average absolute error in forecasting of 2.41% was achieved from the …
Persistent link: https://www.econbiz.de/10010794049
Artificial Neural Networks (ANNs) have been found to be a robust tool to model many non-linear hydrological processes. The present study aims at evaluating the performance of ANN in simulating and predicting ground water levels in the uplands of a tropical coastal riparian wetland. The study...
Persistent link: https://www.econbiz.de/10010794059
This study develops an optimization model for the large-scale conjunctive use of surface water and groundwater resources. The aim is to maximize public and irrigation water supplies subject to groundwater-level drawdown constraints. Linear programming is used to create the optimization model,...
Persistent link: https://www.econbiz.de/10010794086
Planning for sustainable development of water resources relies crucially on the data available. Continuous hydrologic simulation based on conceptual models has proved to be the appropriate tool for studying rainfall-runoff processes and for providing necessary data. In recent years, artificial...
Persistent link: https://www.econbiz.de/10010794120
Saltwater intrusion management models can be used to derive optimal and efficient management strategies for controlling saltwater intrusion in coastal aquifers. To obtain physically meaningful optimal management strategies, the physical processes involved need to be simulated while deriving the...
Persistent link: https://www.econbiz.de/10010794175
The water demand of a city is a complex and non linear function of climatic, socioeconomic, institutional and management variables. Identifying the prominent variables among these is essential in order to adequately predict water demand, and to plan and manage water resources and the supply...
Persistent link: https://www.econbiz.de/10010794337
Developing water level forecasting models is essential in water resources management and flood prediction. Accurate … water level forecasting helps achieve efficient and optimum use of water resources and minimize flooding damages. The … artificial neural network (ANN) is a computing model that has been successfully tested in many forecasting studies, including …
Persistent link: https://www.econbiz.de/10010794544