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 groun...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.展开更多
济南泉域是市区泉水的汇流及蓄水范围，在其北部城区中心地带出露趵突泉、黑虎泉、五龙潭和珍珠泉四大泉群。为更好地保护和利用济南泉域内岩溶地下水，文章对济南泉域的边界条件、岩溶主径流通道、地下水循环特征及水质变化几个敏感问...济南泉域是市区泉水的汇流及蓄水范围，在其北部城区中心地带出露趵突泉、黑虎泉、五龙潭和珍珠泉四大泉群。为更好地保护和利用济南泉域内岩溶地下水，文章对济南泉域的边界条件、岩溶主径流通道、地下水循环特征及水质变化几个敏感问题进行探讨。利用泉群流量相关分析、流场特征分析、回灌补源分析及自备井调查等手段，重新界定了济南泉域的东边界，将其北部透水段向东扩展至原边界以东约4 km。通过对钻孔岩溶分层统计及缓冲区分析，在山前地带沿党家庄-十六里河-千佛山断裂泉城公园方向地下埋深100-150 m 发现一条补给四大泉群的岩溶地下水集中径流带。研究发现，五龙潭和珍珠泉以深循环为主，补给主要来自岩溶地下水，而趵突泉和黑虎泉同时受深循环和浅循环影响较大，趵突泉主要补给来自西部和南部岩溶地下水和地表水，除此以外黑虎泉在东南方向上还有一定量的岩溶地下水补给。目前岩溶水水质变差，南部岩溶裸露区，尤其水库河道周边地带，生态环境亟待治理。展开更多
基金supported by the National Basic Research Program of China (973 Program, Grant No 2006CB403200)the National Natural Scientific Foundation of China (Grant No 50679025)the 111 Project of the Ministry of Education and the State Administration of Foreign Expert Affairs, China (Grant No. B08048)
文摘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.
文摘济南泉域是市区泉水的汇流及蓄水范围，在其北部城区中心地带出露趵突泉、黑虎泉、五龙潭和珍珠泉四大泉群。为更好地保护和利用济南泉域内岩溶地下水，文章对济南泉域的边界条件、岩溶主径流通道、地下水循环特征及水质变化几个敏感问题进行探讨。利用泉群流量相关分析、流场特征分析、回灌补源分析及自备井调查等手段，重新界定了济南泉域的东边界，将其北部透水段向东扩展至原边界以东约4 km。通过对钻孔岩溶分层统计及缓冲区分析，在山前地带沿党家庄-十六里河-千佛山断裂泉城公园方向地下埋深100-150 m 发现一条补给四大泉群的岩溶地下水集中径流带。研究发现，五龙潭和珍珠泉以深循环为主，补给主要来自岩溶地下水，而趵突泉和黑虎泉同时受深循环和浅循环影响较大，趵突泉主要补给来自西部和南部岩溶地下水和地表水，除此以外黑虎泉在东南方向上还有一定量的岩溶地下水补给。目前岩溶水水质变差，南部岩溶裸露区，尤其水库河道周边地带，生态环境亟待治理。
