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校准对L-THIA地理信息系统径流及污染物估算的影响。

Effects of calibration on L-THIA GIS runoff and pollutant estimation.

作者信息

Lim K J, Engel B A, Tang Z, Muthukrishnan S, Choi J, Kim K

机构信息

Department of Agricultural and Biological Engineering, Purdue University, 225 South University Street, West Lafayette, IN 47907-2093, USA.

出版信息

J Environ Manage. 2006 Jan;78(1):35-43. doi: 10.1016/j.jenvman.2005.03.014. Epub 2005 Aug 19.

Abstract

Urbanization can result in alteration of a watershed's hydrologic response and water quality. To simulate hydrologic and water quality impacts of land use changes, the Long-Term Hydrologic Impact Assessment (L-THIA) system has been used. The L-THIA system estimates pollutant loading based on direct runoff quantity and land use based pollutant coefficients. The accurate estimation of direct runoff is important in assessing water quality impacts of land use changes. An automated program was developed to calibrate the L-THIA model using the millions of curve number (CN) combinations associated with land uses and hydrologic soil groups. L-THIA calibration for the Little Eagle Creek (LEC) watershed near Indianapolis, Indiana was performed using land use data for 1991 and daily rainfall data for six months of 1991 (January 1-June 30) to minimize errors associated with use of different temporal land use data and rainfall data. For the calibration period, the Nash-Sutcliffe coefficient was 0.60 for estimated and observed direct runoff. The calibrated CN values were used for validation of the model for the same year (July 1-December 31), and the Nash-Sutcliffe coefficient was 0.60 for estimated and observed direct runoff. The Nash-Sutcliffe coefficient was 0.52 for January 1, 1991 to December 31, 1991 using uncalibrated CN values. As shown in this study, the use of better input parameters for the L-THIA model can improve accuracy. The effects on direct runoff and pollutant estimation of the calibrated CN values in the L-THIA model were investigated for the LEC. Following calibration, the estimated average annual direct runoff for the LEC watershed increased by 34%, total nitrogen by 24%, total phosphorus by 22%, and total lead by 43%. This study demonstrates that the L-THIA model should be calibrated and validated prior to application in a particular watershed to more accurately assess the effects of land use changes on hydrology and water quality.

摘要

城市化可能导致流域水文响应和水质的改变。为了模拟土地利用变化对水文和水质的影响,人们使用了长期水文影响评估(L-THIA)系统。L-THIA系统基于直接径流量和基于土地利用的污染物系数来估算污染物负荷。准确估算直接径流对于评估土地利用变化对水质的影响至关重要。人们开发了一个自动化程序,利用与土地利用和水文土壤组相关的数百万个径流曲线数(CN)组合来校准L-THIA模型。印第安纳州印第安纳波利斯附近的小鹰溪(LEC)流域的L-THIA校准是使用1991年的土地利用数据和1991年六个月(1月1日至6月30日)的日降雨数据进行的,以尽量减少与使用不同时间的土地利用数据和降雨数据相关的误差。在校准期内,估计和观测的直接径流的纳什-萨特克利夫系数为0.60。校准后的CN值用于同年(7月1日至12月31日)模型的验证,估计和观测的直接径流的纳什-萨特克利夫系数为0.60。使用未校准的CN值时,1991年1月1日至1991年12月31日的纳什-萨特克利夫系数为0.52。如本研究所示,为L-THIA模型使用更好的输入参数可以提高准确性。针对LEC研究了L-THIA模型中校准后的CN值对直接径流和污染物估算的影响。校准后,LEC流域估计的年均直接径流量增加了34%,总氮增加了24%,总磷增加了22%,总铅增加了43%。本研究表明,在将L-THIA模型应用于特定流域之前,应进行校准和验证,以更准确地评估土地利用变化对水文和水质的影响。

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