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机构地区:[1]中国林业科学研究院森林生态环境与保护研究所,国家林业局森林生态环境重点实验室,北京100091 [2]Eastern Forest Environmental Threat Assessment Center,USDA Forest Service
出 处:《植物生态学报》2013年第2期132-141,共10页Chinese Journal of Plant Ecology
基 金:国家科技支撑项目(2012BAD22B01);中国林业科学研究院院所基金海外人才专项(CAFYBB2008007);林业公益性行业科研专项(200804001)
摘 要:模型基本单元空间尺度的确定是大尺度生态水文模型应用的前提,也是提高模型模拟精度的关键。该文以长江流域岷江上游的杂谷脑河上游流域为例,通过设置最小流域面积阈值,构建不同的水文响应单元划分方案,探讨生态水文模型WASSI-C响应单元的最佳空间响应尺度。结果表明:模型响应单元空间尺度的变化对模型精度有显著影响,模拟效果存在随响应单元划分面积阈值增加先提高再稳定的趋势,面积阈值小于85km2时,模型的模拟效果较好。此外,面积阈值小于85km2时,模型模拟的水、碳循环变量验证的拟合相关性系数和效率系数均趋于稳定,因此可以将模型水文响应单元流域划分的面积阈值确定为85km2。基于这一尺度的模拟与验证研究,分析了WASSI-C模型中关键变量设置对模拟结果的影响。Aims Optimal spatial scale of hydrological response unit (HRU) is a precondition for eco-hydrological modeling as it is essential to improve accuracy. Our objective was to evaluate the spatial scale of HRU for application of the WASSI-C model. Methods We determined the best HRU scale for the eco-hydrological model (WASSI-C) through examining the modeling accuracies at different HRU thresholds. This study focused on a large watershed, the upper Zagunao River watershed, situated in the upper reach of the Minjiang River, Yangtze River Basin, China. Important findings Variation of spatial scales in HRU significantly affected the modeling accuracy. With the increase of the spatial scale of HRU, the accuracy of simulated results first increased then remained relatively un-changed and then decreased, suggesting existence of a threshold around 85 km2 in HRU for this model for this watershed. We validated the model using this optimum spatial scale and discussed the potential to improve model output by addressing input parameters such as temperature.
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