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城市景观格局和雨水径流容量交易适宜尺度的关系研究

Study on the relationship between urban landscape pattern and the appropriate scale of rainwater runoff capacity trading
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摘要 为探讨城市景观格局和雨水径流容量交易效果之间的尺度关系,以扬州市部分城区为研究对象,通过容量交易方法和景观指数法,分析容量交易效果和景观格局对尺度的响应.结果表明:景观格局和容量交易效果具有高度一致的尺度依赖性,临界尺度2 km,大约包括40个功能区,可以最小的空间范围体现研究区整体景观格局以及大部分雨水径流容量交易效果;类型丰富、分布均匀、充分混合的景观格局可为容量交易提供必要条件,具有容量互补关系的功能区交错间隔分布有利于在相对较小尺度内实现较好的容量交易效果.将景观格局尺度效应分析纳入海绵城市规划工作中,确定适宜的规划范围,可为推进海绵城市建设提供理论依据. In order to discuss the scale relationship between urban landscape pattern and rainwater runoff capacity trading effect,part of Yangzhou city is taken as the study object,the response of capacity trading effect and landscape pattern to scale are analyzed through the capacity trading approach and landscape index method.The results show that the landscape pattern and the capacity trading effect have a highly consistent scale dependence.The critical scale is 2 km,including about 40 functional zones,which can reflect the overall landscape pattern and most of the rainwater runoff capacity trading effect in the study area in the smallest spatial scope.The landscape pattern with rich types,uniform distribution and sufficient mixing can provide the necessary conditions for capacity trading,and the staggered spacing distribution of functional areas with complementary capacity relationship is conducive to achieve a better capacity trading effect in a relative small scale.Integrating the analysis of landscape pattern scale effect into the planning of sponge city and determining the appropriate planning scope can provide theoretical basis for promoting the construction of sponge city.
作者 张蒙达 贾忠华 罗纨 唐双成 王爽 ZHANG Mengda;JIA Zhonghua;LUO Wan;TANG Shuangcheng;WANG Shuang(College of Hydraulic Science and Engineering,Yangzhou University,Yangzhou 225009,China)
出处 《扬州大学学报(自然科学版)》 CAS 北大核心 2023年第2期59-64,共6页 Journal of Yangzhou University:Natural Science Edition
基金 国家自然科学基金资助项目(51979239) 江苏省研究生科研与实践创新计划资助项目(SJCX21_1584)。
关键词 海绵城市 尺度 功能区 景观格局 容量交易 交易效果 sponge city scale functional area landscape pattern capacity trading trading effect
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