Neural Network Based Predication and Optimization for Groundwater / Surface Water System

a technology of surface water and neural network, applied in the field of neural network based predication and optimization of groundwater/surface water system, can solve the problems of inadequate management system, limited field and/or laboratory measurements, and affecting the quantity and quality of water available for human use, so as to facilitate the design, improve the understanding, and improve the effect of cost efficiency

a technology of surface water and neural network, applied in the field of neural network based predication and optimization of groundwater/surface water system, can solve the problems of inadequate management system, limited field and/or laboratory measurements, and affecting the quantity and quality of water available for human use, so as to facilitate the design, improve the understanding, and improve the effect of cost efficiency

US20070239640A1Inactive Publication Date: 2007-10-11COPPOLA EMERY J JR +2
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  • Neural Network Based Predication and Optimization for Groundwater / Surface Water System
  • Neural Network Based Predication and Optimization for Groundwater / Surface Water System
  • Neural Network Based Predication and Optimization for Groundwater / Surface Water System

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[0049] As described above, the present invention provides a new and useful method and apparatus, based on the use of a neural network, for (a) predicting important groundwater / surface water output / state variables, (b) optimizing groundwater / surface water control variables, and / or (c) sensitivity analysis to identify variable interdependence and physical relationships between input and output. The principles of the present invention are described below in connection with a neural network designed to predict output / state variables and / or optimizing system control in a groundwater / surface water system. However, from the description, the manner in which the principles of the present invention can be used for various functions in a groundwater / surface water system will be apparent to those in the art.

[0050] The invention uses neural network technology for the difficult problem of modeling, predicting, and managing hydrologic output / state variables (e.g. stream flow rates, surface water ...

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Abstract

The present invention relates to a method and apparatus, based on the use of a neural network (NN), for (a) predicting important groundwater / surface water output / state variables, (b) optimizing groundwater / surface water control variables, and / or (c) sensitivity analysis, to identify physical relationships between input and output / state variables used to model the groundwater / surface water system or to analyze the performance parameters of the neural network.

Description

RELATED APPLICATION / CLAIM OF PRIORITY [0001] This application is related to and claims priority from Provisional Application Ser. No. 60 / 347,626, filed Oct. 22, 2001.INTRODUCTION [0002] The present invention relates to a method and apparatus, based on the use of a neural network (NN), for (a) predicting important groundwater / surface water output / state variables, (b) optimizing groundwater / surface water control variables, and / or (c) sensitivity analysis, to identify physical relationships between input and output variables used to model the groundwater / surface water system or to analyze the performance parameters of the neural network. BACKGROUND [0003] Management and protection of water resources around the world is becoming critically important. Overuse and contamination combined with increasing water demand are diminishing the quantity and quality of water available for human use. It has been estimated that by year 2025, over 35% of the world population will face chronic water sho...

Claims

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Application Information

Patent Timeline
11 Oct 2007
Publication
US20070239640A1
IPC
G06F15/18; G01V9/02
CPC
G01V9/02
Inventors
COPPOLA, EMERY J. JR.; POULTON, MARY M.