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气象条件对生物滞留单元水文效应的影响OA

Impacts of meteorological conditions on hydrological effects of a bioretention cell

中文摘要英文摘要

基于8 座海绵城市建设试点城市的气象资料,采用全分布式地表水-地下水耦合模型ParFlow-CLM 对理想化生物滞留汇水区长期水文过程开展数值模拟,系统探究典型生物滞留单元径流、渗漏、蒸散发过程对气象条件的响应特征.结果表明:生物滞留单元的地表径流量主要受模拟年降雨场次的平均降雨强度影响;平均降雨强度也是影响年深层渗漏量与年降水量比值的主要气象因子;当生物滞留单元底部原土的渗漏能力为零(或生物滞留单元经过防渗处理)时,年地下径流系数与年内各场次的平均降雨强度呈一定的负相关关系,而与年降水量、年潜在蒸散量与年降水量的比值(Ep/P)基本不相关;随着原土渗漏能力的增强,年地下径流系数与平均降雨强度的相关性逐渐转向正相关,与年降水量、Ep/P 也逐渐呈现一定的相关性;生物滞留单元总蒸散量与汇水区年降水量的比值与 Ep/P 呈现较强的线性相关关系.

Based on the meteorological data of eight pilot cities for sponge city construction,the fully distributed surface water-groundwater coupled model ParFlow-CLM was applied to simulate long-term hydrological processes of an idealized bioretention catchment,and response characteristics of runoff,seepage,and evapotranspiration processes of a typical bioretention cell to meteorological conditions were systematically explored.The results indicate that the surface runoff volume of the bioretention cell is primarily influenced by the average rainfall intensity of rainfall events in the simulation year;the average rainfall intensity is also the main meteorological factor affecting the ratio of annual deep seepage to annual precipitation;when the seepage capacity of native soil at the bottom of the bioretention cell is zero(or the bioretention cell is treated with anti-seepage measures),the annual subsurface runoff coefficient shows a certain negative correlation with the average rainfall intensity of events within the year but is largely uncorrelated with annual precipitation and the ratio of annual potential evapotranspiration to annual precipitation(Ep/P);as the seepage capacity of native soil increases,the correlation between the annual subsurface runoff coefficient and average rainfall intensity gradually shifts to a positive correlation,and a certain correlation with annual precipitation and Ep/P gradually emerges;the ratio of total evapotranspiration of the bioretention cell to annual precipitation of the catchment shows a strong linear correlation with Ep/P of the catchment.

王瑶;王卫光

河海大学水灾害防御全国重点实验室||河海大学水文水资源学院河海大学水灾害防御全国重点实验室||河海大学水文水资源学院

海绵城市低影响开发生物滞留设施水文模型ParFlow-CLM

sponge citylow impact developmentbioretention facilityhydrological modelParFlow-CLM

《河海大学学报(自然科学版)》 2026 (3)

44-50,7

国家重点研发计划项目(2024YFF1307104)国家自然科学基金项目(42301045)

10.3876/j.issn.1000-1980.2026.03.006

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