同位素信息在确定Green-Ampt入渗模型参数中的应用
Application of Isotopic Information for Estimation of Parameters in Green-Ampt Infiltration Model
作者：包为民(河海大学水文水资源与水利工程科学国家重点实验室;河海大学 水文水资源学院)；王涛(河海大学水文水资源与水利工程科学国家重点实验室;河海大学 水文水资源学院;中国水电顾问集团成都勘测设计研究院)；胡琳(浙江省水文局)；胡海英(河海大学水文水资源与水利工程科学国家重点实验室;河海大学 水文水资源学院)；瞿思敏(河海大学水文水资源与水利工程科学国家重点实验室;河海大学 水文水资源学院)
Author：Bao Weimin(State Key Lab.of HydrologyWater Resources and Hydraulic Eng.,Hohai Univ.;College of Hydrology and Water Resources, Hohai Univ.)；Wang Tao(State Key Lab.of HydrologyWater Resources and Hydraulic Eng.,Hohai Univ.;College of Hydrology and Water Resources, Hohai Univ.;Chengdu Hydroelectric Investigation and Design Inst., China Hydropower Eng. Consulting Group Co.)；Hu Lin(Zhejiang Hydrology Bureau)；Hu Haiying(State Key Lab.of HydrologyWater Resources and Hydraulic Eng.,Hohai Univ.;College of Hydrology and Water Resources, Hohai Univ.)；Qu Simin(State Key Lab.of HydrologyWater Resources and Hydraulic Eng.,Hohai Univ.;College of Hydrology and Water Resources, Hohai Univ.)
收稿日期：2009-02-19 年卷（期）页码：2010,42(3):89-94
期刊名称：工程科学与技术
Journal Name：Advanced Engineering Sciences
关键字：氢氧稳定同位素；Green-Ampt入渗模型；同位素混合模型；参数确定
Key words：hydrogen and oxygen stable isotopes; Green-Ampt infiltration model; isotopic mixing model; parameter estimation
基金项目：国家自然科学基金资助项目（50679024）；国家“十一五”科技支撑计划课题基金资助项目（2006BAC05B02）；教育部长江学者和创新团队发展计划资助项目（IRT0717）；高等学校学科创新引智计划资助项目（B08048）
中文摘要
针对单独水文信息确定水文模型参数的信息量不足问题，以Green-Ampt入渗模型为例，结合同位素混合模型，应用氢氧稳定同位素信息确定Green-Ampt入渗模型参数，并通过室内降雨入渗实验验证。实验结果表明，同位素信息确定的Green-Ampt入渗模型参数与实测值接近，同位素信息和水文信息有效结合确定的模型参数比单一水文信息确定模型参数好。
英文摘要
Aiming at the deficiency of hydrological information in the estimation of parameters in hydrological models, based on the combination of Green-Ampt infiltration model and isotopic mixing model, parameters were estimated in Green-Ampt infiltration using isotopic information through rainfall infiltration experiment. Experimental results showed that the estimation values of parameters in Green-Ampt infiltration model using isotopic information were close to measured values; parameters obtained by using isotopic and hydrological information were better than those only using hydrological information.
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