海绵城市规划中径流控制分区及LID控制指标量 化研究——以昆明为例

Study on Runoff Control Zoning and LID Measures Quantification in Sponge City Planning: A Case Study of Kunming

苏振宇
同济大学建筑与城市规划学院 博士研究生

摘要: 以昆明市为例,结合城市不同片区的实际情况,采用自上而下的方法对海绵城市建设最主要的控制目标——年径流总量 控制目标进行分解细化。通过对昆明中心城区用地、土壤、地下水等基础资料的调查分析,提出昆明市海绵城市建设的总 体规划布局和年径流总量控制方案;结合历史降雨资料分析,提出不同年径流总量控制率所对应的设计降雨量,将不同分 区LID措施进行量化。研究表明,量化后的LID措施在新开发地块中实施难度不大,但在现状地块中要进行改造则具有较大 的难度,需要采取一些灵活控制措施。

Abstract: This paper takes the real situation of different areas of Kunming into considerations, employs a top-down approach, and decomposes the main target of sponge city construction: annual runoff control rate. Based on the investigations of planned land use, soil components and ground water table, a runoff control zoning is put forward and the corresponding design precipitations for each zone are studied. Quantities of LID measures in different zones are also calculated to meet the runoff control requirements. The study shows that it’s not difficult to implement enough LID measures in new developing area, but in developed area, it is hard and needs more flexible policies to meet the requirements.

关键词:海绵城市、低影响开发(LID)、年径流总量、设计降雨量、径流控制分区

Keyword: Sponge city ,Low Impact Development,Annual runoff volume,Design precipitation , Runoff control zoning

中图分类号:TU981

文献标识码: A

[1]陈小龙,赵冬泉,盛政,等. 海绵城市规划系统的
开发与应用[J]. 中国给水排水,2015,31(19):
121-125.
CHEN Xiaolong, ZHAO Dongquan, SHENG Zheng,
et al. Development and application of sponge city
planning system[J]. China Water & Wastewater, 2015,
31 (19): 121-125.
[2]康丹,叶青. 海绵城市年径流总量控制目标取值和
分解研究[J]. 中国给水排水,2015, 31(19):126-
129.
KANG Dan, YE Qing. Study on evaluation and
decomposition of volume capture ratio of annual
rainfall in sponge city[J]. China Water & Wastewater,
2015, 31 (19): 126-129.
[3]刘俊杰,王建军,马小杰. 云锦路下沉式绿地海绵
城市效益分析[J]. 中国市政工程,2016(2):33-
39.
LIU Junjie, WANG Jianjun, MA Xiaojie. Sponge
city benefit analysis of sinking afforesting on Yunjin
Road[J]. China Municipal Engineering, 2016 (2): 33-
39.
[4]USDA. Part 630 hydrology national engineering
handbook[M]. Report No.210–VI–NEH, 2007.
[5]中国科学院资源环境科学数据中心. 中国土壤质
地空间分布数据[EB/OL]. (2014-09-17)[2016-06-
08]. http://www.resdc.cn.
Resource and Environmental Data Center of China
Academy of Science. Soil components distribution data
of China[EB/OL]. (2014-09-17)[2016-06-08]. http://
www.resdc.cn.
[6]中国气象数据共享中心. 中国地面国际交换站气
候资料日值数据集(V3.0)[EB/OL](. 2012-08-04)
[2016-06-08]. http://data.cma.cn/data/detail/dataCode/
SURF_CLI_CHN_MUL_DAY_CES_V3.0.html.
China Climatic Data Center. Daily surface climatic
dataset of China International Exchange Station (V3.0)
[EB/OL]. (2012-08-04)[2016-06-08]. http://data.cma.
cn/data/detail/dataCode/SURF_CLI_CHN_MUL_
DAY_CES_V3.0.html.

微信扫一扫
关注“上海城市规划”
公众号