气候变化领域集成服务门户(CCPortal): Estimating infiltration increase and runoff reduction due to green infrastructure

CCPortal

DOI	10.2166/wcc.2018.354
	Estimating infiltration increase and runoff reduction due to green infrastructure
	Zhang J.; Peralta R.C.
发表日期	2019
ISSN	20402244
起始页码	237
结束页码	242
卷号	10 期号:2
英文摘要	To aid urban entities desiring to reduce runoff from precipitation while increasing aquifer recharge, we present an approach for simultaneously quantifying runoff and infiltration. Developing the approach involved using: (1) the Windows version of the Source Loading and Management Model (WINSLAMM) to estimate runoff from precipitation in areas with green infrastructure (GI); and (2) the SCS runoff curve method to estimate infiltration. Computed infiltration and runoff values enable the estimation of the runoff reduction and infiltration increase due to alternative GI construction modes. We relate infiltration ratios to land use for a range of event rainfall depths in southwestern USA. These ratios can aid estimation of aquifer recharge while improving storm water management. We apply the approach to a Salt Lake City residential area for current land use and three assumed runoff control practices. Although currently applicable for a wide range of precipitation and urban land use situations in southwestern USA, the approach is extensible to guide urban development elsewhere. © IWA Publishing 2019.
英文关键词	Effect analysis; Green infrastructure; Infiltration increase; Runoff reduction; SCS runoff curve method simulation; Urban runoff; WINSLAMM
语种	英语
scopus关键词	Aquifers; Land use; Recharging (underground waters); Sewage; Urban growth; Water management; Curve method; Effect analysis; Green infrastructure; Runoff reduction; Urban runoff; WINSLAMM; Runoff; computer simulation; estimation method; infiltration; numerical model; precipitation intensity; runoff; stormwater; water management; Salt Lake City; United States; Utah
来源期刊	Journal of Water and Climate Change
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/147984
作者单位	Institute of Water Resources, Shenyang Agricultural University, Shenyang, Liaoning 110161, China; Civil and Environmental Engineering Department, Utah State University, Logan, UT 84322-4110, United States
推荐引用方式 GB/T 7714	Zhang J.,Peralta R.C.. Estimating infiltration increase and runoff reduction due to green infrastructure[J],2019,10(2).
APA	Zhang J.,&Peralta R.C..(2019).Estimating infiltration increase and runoff reduction due to green infrastructure.Journal of Water and Climate Change,10(2).
MLA	Zhang J.,et al."Estimating infiltration increase and runoff reduction due to green infrastructure".Journal of Water and Climate Change 10.2(2019).