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定位观测分析结果表明：森林植被可有效地减低地表径流量，无林区地表径流量（径流系数为２１．９４％）分别比柳杉、水杉和刺槐林高５３．３３％，４３．８５％和３３．５５％。落叶期水杉和刺槐林地表径流量比柳杉林高３０％～５０％，而盛叶期水杉林地表径流量和柳杉林相近，但比刺槐林地减低２０％～３０％。森林对地表径流过程的影响，主要表现在减洪和滞洪方面，盛叶期柳杉和水杉林地表径流峰值比对照区减低７０％～８０％，刺槐林比对照区减低４０％～５０％，并能在不同程度上推迟产流和洪峰到来时间。在深入分析降水特性因子与地表径流量关系基础上，给出了各地段地表径流量回归估计模型，经误差检验估计精度达８０％以上。
The result of location observation and analysis shows that the forest vegetation can effectively reduce the surface runoff. The surface runoff in non-forest area (runoff coefficient is 21.94%) is 53.33% and 43.85% higher than that of Cryptomeria fortunei, Metasequoia and Robinia pseudoacacia, respectively. And 33.55%. The surface runoff of Metasequoia and Robinia pseudoacacia in the deciduous period was 30% ~ 50% higher than that in Cryptomeria fortunei, while the surface runoff in Metasequoia glyptostroboides forest was similar to that of Cryptomeria fortunei in Shengye stage, but decreased by 20% ~ 30% The impact of forest on surface runoff was mainly reflected in the aspects of flood control and flood detention. The surface runoff of Cryptomeria fortunei and Metasequoia glyptostroboides in Shengsheng stage was reduced by 70% -80% compared with that in the control area, while that of the locust forest reduced by 40% -50% And to varying degrees, postpone the production flow and peak arrival time. On the basis of further analysis of the relationship between precipitation characteristics and surface runoff, the regression model of surface runoff in each section is given. The accuracy of error estimation is above 80%.