標題: Identification of net groundwater recharge rate using an expert system model: a case study of Pintung plane
作者: Chang, L. C.
Tsai, J. P.
Chen, Y. W.
Chiang, C. J.
土木工程學系
Department of Civil Engineering
關鍵字: groundwater modeling;parameter identification;expert system
公開日期: 1-一月-2012
摘要: Groundwater parameter techniques can be classified into two categories: tried and error methods and auto-calibration methods. Tried and error methods usually are time consuming. Most auto-calibration techniques are optimization techniques which rely on sensitivity analysis or a gradient search, which have increased computational demands with increasing parameter dimension. In addition to run time constraints, the applicability of optimization techniques is restricted by its difficult mathematical set up required in its implementation. This paper develops a rapid parameter calibration model, named RGEIS, using the combination of the expert system model and the groundwater simulation model to reduce the computational time and increase the model applicability. The developed model is applied to identify the net recharge rate, the summation of total recharge and total extraction of the study area, of Pintung plane in southern Taiwan. Pintung plane has an area of 78 km x 30 km with 3 aquifers and complex geological conditions. The study area is divided into 104 parameter zones. Since the planning horizon is 12 months, the total number of the net recharge rate to be calibrated is 1248 (104x12= 1,248). However, only 2,252 seconds are needed for the net recharge identification. The result shows accuracy and efficiency of the proposed model.
URI: http://dx.doi.org/10.2495/WP120201
http://hdl.handle.net/11536/124939
ISBN: 978-1-84564-608-0
ISSN: 1743-3541
DOI: 10.2495/WP120201
期刊: WATER POLLUTION XI
Volume: 164
起始頁: 229
結束頁: 240
顯示於類別:會議論文