Simulation of rainfall-underground outflow responses of a karstic watershed in Southwest China with an artificial neural network
Karstic aquifers in Southwest China are largely located in mountainous areas and groundwater level observation data are usually absent. Therefore, numerical groundwater models are inappropriate for simulation of groundwater flow and rainfall-underground outflow responses. In this study, an artificia...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2008-06-01
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| Series: | Water Science and Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1674237015300028 |
| _version_ | 1818368569031786496 |
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| author | Chen Xi Chen Cai Hao Qingqing Zhang Zhicai Shi Peng |
| author_facet | Chen Xi Chen Cai Hao Qingqing Zhang Zhicai Shi Peng |
| author_sort | Chen Xi |
| collection | DOAJ |
| description | Karstic aquifers in Southwest China are largely located in mountainous areas and groundwater level observation data are usually absent. Therefore, numerical groundwater models are inappropriate for simulation of groundwater flow and rainfall-underground outflow responses. In this study, an artificial neural network (ANN) model was developed to simulate underground stream discharge. The ANN model was applied to the Houzhai subterranean drainage in Guizhou Province of Southwest China, which is representative of karstic geomorphology in the humid areas of China. Correlation analysis between daily rainfall and the outflow series was used to determine the model inputs and time lags. The ANN model was trained using an error backpropagation algorithm and validated at three hydrological stations with different karstic features. Study results show that the ANN model performs well in the modeling of highly non-linear karstic aquifers. |
| first_indexed | 2024-12-13T23:10:02Z |
| format | Article |
| id | doaj.art-f20491838e174ee48169a280ce366450 |
| institution | Directory Open Access Journal |
| issn | 1674-2370 |
| language | English |
| last_indexed | 2024-12-13T23:10:02Z |
| publishDate | 2008-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Water Science and Engineering |
| spelling | doaj.art-f20491838e174ee48169a280ce3664502022-12-21T23:28:08ZengElsevierWater Science and Engineering1674-23702008-06-01121910.3882/j.issn.1674-2370.2008.02.001Simulation of rainfall-underground outflow responses of a karstic watershed in Southwest China with an artificial neural networkChen XiChen CaiHao QingqingZhang ZhicaiShi PengKarstic aquifers in Southwest China are largely located in mountainous areas and groundwater level observation data are usually absent. Therefore, numerical groundwater models are inappropriate for simulation of groundwater flow and rainfall-underground outflow responses. In this study, an artificial neural network (ANN) model was developed to simulate underground stream discharge. The ANN model was applied to the Houzhai subterranean drainage in Guizhou Province of Southwest China, which is representative of karstic geomorphology in the humid areas of China. Correlation analysis between daily rainfall and the outflow series was used to determine the model inputs and time lags. The ANN model was trained using an error backpropagation algorithm and validated at three hydrological stations with different karstic features. Study results show that the ANN model performs well in the modeling of highly non-linear karstic aquifers.http://www.sciencedirect.com/science/article/pii/S1674237015300028karstunderground channelcorrelation analysisartificial neural network |
| spellingShingle | Chen Xi Chen Cai Hao Qingqing Zhang Zhicai Shi Peng Simulation of rainfall-underground outflow responses of a karstic watershed in Southwest China with an artificial neural network Water Science and Engineering karst underground channel correlation analysis artificial neural network |
| title | Simulation of rainfall-underground outflow responses of a karstic watershed in Southwest China with an artificial neural network |
| title_full | Simulation of rainfall-underground outflow responses of a karstic watershed in Southwest China with an artificial neural network |
| title_fullStr | Simulation of rainfall-underground outflow responses of a karstic watershed in Southwest China with an artificial neural network |
| title_full_unstemmed | Simulation of rainfall-underground outflow responses of a karstic watershed in Southwest China with an artificial neural network |
| title_short | Simulation of rainfall-underground outflow responses of a karstic watershed in Southwest China with an artificial neural network |
| title_sort | simulation of rainfall underground outflow responses of a karstic watershed in southwest china with an artificial neural network |
| topic | karst underground channel correlation analysis artificial neural network |
| url | http://www.sciencedirect.com/science/article/pii/S1674237015300028 |
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