Using hydrological simulation to detect human-disturbed epoch in runoff series
| Autor: | Z. X. Bao, Guoqing Wang, R. M. He, J. L. Jin, C. S. Liu, J. Y. Zhang, Thomas C. Pagano, Y. L. Liu |
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| Rok vydání: | 2015 |
| Předmět: |
Hydrology
geography China Environmental Engineering geography.geographical_feature_category Climate Change Rain Drainage basin Climate change Runoff curve number Models Theoretical Runoff model Water conservation Soil Rivers Water Supply Loess Environmental science Humans Computer Simulation Human Activities Soil conservation Surface runoff Water Science and Technology |
| Zdroj: | Water science and technology : a journal of the International Association on Water Pollution Research. 71(5) |
| ISSN: | 0273-1223 |
| Popis: | Runoff in major rivers in China has been decreasing in recent decades, mainly due to climate change and human activity. River basin managers have a critical interest in detecting and diagnosing non-stationaries in runoff time series. Here we use a rainfall runoff model-based approach to identify the human-disturbed periods of the record. The method is applied to the Kuye River catchment, located in the Loess Plateau, China. The SimHyd model performs well for simulation of monthly natural discharges, and the method suggests that discernable human influence began in 1980. Anthropogenic effects were detectable several years earlier at the downstream stations than the upstream stations, consistent with pace and timing of soil and water conservation measures implemented across the Kuye River catchment. |
| Databáze: | OpenAIRE |
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