基于DEM和NDVI的南京紫金山国家森林公园雨洪影响研究
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国家自然科学基金(31570703)和国家林业软科学研究项目(2018-R20)共同资助。


Study on Nanjing Purple Mountain National Forest Park influenced by rain-flood in city based on DEM and NDVI
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    摘要:

    城市丘陵型森林公园因其特殊地形地貌所带来的雨洪问题,严重影响着城市周边雨洪安全。以南京紫金山国家森林公园为例,基于数字高程模型(DEM)和归一化植被指数(NDVI)分别对其雨洪产生因素进行分析,模拟地表径流,得出易受雨洪影响的区域,并从源头、途径层面分析易受雨洪影响区域的形成原因。结果表明,利用DEM与NDVI构建的数据模型模拟的径流渠道和高雨洪风险区域与实际相符,可为雨洪管控提供理论依据。并针对源头、途径、终端三个层面提出全过程雨洪管控策略,强调源头控制与过程管控,从而充分发挥紫金山国家森林公园雨洪调控功能,完善城市生态安全格局,保障城市雨洪安全。

    Abstract:

    Due to their special landforms, urban hilly forest parks influenced by rain-flood in city have large impact on urban safety. Taking an example of Nanjing Purple Mountain National Forest Park, based on DEM and NDVI, factors cause rain-flood of Nanjing Purple Mountain National Forest Park were analyzed. Moreover, surface runoff areas were simulated. Then we analyzed the causes of the areas affected by rain and flood from the source and route levels. The results could be used in practice, which indicate that the runoff channel and high storm flood risk area simulated by data model constructed by DEM and NDVI are consistent with reality. Aim to give full play to the function of rain flood controlled by Nanjing Purple Mountain National Forest Park and guarantee the safety of urban rain-flood, a reasonable whole process of rain-flood management strategy is proposed for the three aspects of source, approach and terminal.

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  • 收稿日期:2019-05-23
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  • 在线发布日期: 2020-06-09