Inverse Analysis of Hydraulic Properties of Multilayered Aquifer from Pumping Test Data Using Genetic Algorithms
-
- TAKESHITA Yuji
- 岡山大学環境理工学部
-
- YASUI Katsutoyo
- 岡山大学大学院工学研究科
-
- KOHNO Iichiro
- 岡山大学環境理工学部
Bibliographic Information
- Other Title
-
- 遺伝的アルゴリズムを用いた多層帯水層地盤における揚水試験データの逆解析方法
- イデンテキ アルゴリズム オ モチイタ タソウ タイスイソウ ジバン ニ オケ
Search this article
Abstract
Pumping tests are usually performed under the multilayered aquifer system. The exact determination of hydraulic properties of each aquifer is very important for the correct groundwater flow prediction. It is, however, difficult to analyze the data obtained from the pumping test under these conditions “analytically”.<BR>In this paper, a new approach to parameter determination methodology is presented which estimates the soil hydraulic properties from pumping test data with the aid of Genetic algorithms (GA). GA belong to a family of increasingly popular global optimization methods that are designed to overcome the multimodality of the objective function without incurring the enormous expense of exhaustive search. GA are based on the mechanics of natural selection and natural genetics, which combine an artificial survival of the fittest with genetic operators abstracted from nature. The advantages of the proposed method are in the possibility of identifying the optimal hydraulic properties of aquifers. Pumping test data which are simulated under the multilayered conditions are used to evaluate availability of our proposed method.
Journal
-
- Journal of Groundwater Hydrology
-
Journal of Groundwater Hydrology 39 (4), 313-325, 1997
Japanese Association of Groundwater Hydrology
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390282680434397696
-
- NII Article ID
- 10003877103
- 130004600813
- 10002383362
-
- NII Book ID
- AN10088275
-
- NDL BIB ID
- 4352229
-
- ISSN
- 09134182
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- NDL
- Crossref
- CiNii Articles
-
- Abstract License Flag
- Disallowed