喀斯特流域分布式水文模型及植被生态水文效应 |
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引用本文: | 张志才,陈喜,石朋,魏玲娜. 喀斯特流域分布式水文模型及植被生态水文效应[J]. 水科学进展, 2009, 20(6): 806-811 |
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作者姓名: | 张志才 陈喜 石朋 魏玲娜 |
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作者单位: | 河海大学水文水资源与水利工程科学国家重点实验室, 江苏, 南京, 210098 |
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基金项目: | 国家重点基础研究发展计划(973)资助项目,国家自然科学基金资助项目,教育部科学技术研究重大项目 |
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摘 要: | 根据喀斯特流域多孔介质与裂隙水流特征,建立了达西流、裂隙渗流与槽蓄汇流演算相结合的混合汇流演算模式,实现了对分布式水文-植被-土壤模型(DHSVM)的改进。利用贵州普定喀斯特生态水文试验站陈旗小流域观测资料,对模型计算的流量过程及植被截流、蒸散发及土壤含水率时空分布进行验证。结果表明,模型能较好地模拟喀斯特流域陡涨、陡落的流量过程。同时,模型能模拟出土壤含水率、实际蒸散发与降雨、下垫面岩溶裂隙、植被覆盖的响应关系,对分析中国南方喀斯特地区下垫面变化条件下的生态水文效应具有重要意义。
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关 键 词: | 喀斯特 分布式水文-植被-土壤模型 岩溶裂隙水 生态水文 |
收稿时间: | 2008-10-12 |
Distributed hydrological model and eco-hydrological effect of vegetation in Karst watershed |
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Affiliation: | State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China |
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Abstract: | On the basis of the characteristics of the porous and fissure water flow in the karst watershed, a mixed runoff routing method integrating interactions of the Darcy flow, fissure flow and channel storage routing, is developed and used to improve the Distributed Hydrology-Soil-Vegetation Model (DHSVM). The improved model is applied in a small watershed of Chenqi with in the Puding Karst Ecohydrological Observation Station, Guizhou province. The model is calibrated and validated based on the observation data of the stream flow, the vegetation interception, the evapotranspiration and the soil moisture. The results show that this improved DHSVM is able to simulate the observed hydrograph with sharply raised and recessed flow characteristics, as well as evapotranspiration and soil moisture. The improved DHSVM is also able to simulate soil moisture content and evapotranspiration as well as their interactions with precipitation,karst fracture and vegetation cover. This study is very useful for analyzing the eco-hydrological processes and the eco-environmental effects with the changing land cover and land use in the Karst region Southern China. |
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Keywords: | Karst Distributed Hydrology-Soil-Vegetation Model (DHSVM) Karst fractural flow eco-hydrology |
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