施耐德单位水文和GIS用于估计印度下塔皮盆地未测量集水区的洪水

Sudhakar Bs, Anupam Ks, Akshay Oj
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引用次数: 12

摘要

在洪水易发流域,需要估算流域内各流域的流量、标准滞后时间、峰值时间和洪水响应。SUH方法相对于其他方法具有相当大的优势,因此被选择用于估计25个子流域的洪水响应、洪水潜力贡献和洪水量百分比。子流域在估计峰值流量、峰值时间、交替滞后时间和峰值50%和75%时的SUH宽度方面的自由判断能力优于其他方法。本文将Snyder单位线(SUH)与基于GIS的空间数据库相结合,用于下塔皮流域(LTB)流量计算。从GIS数据库中提取各子流域的河流长度、质心长度、空间面积、土地利用、侧坡、地形和土壤等水文参数。地理数据与地形图相结合,生成50米单元大小的数字高程模型(DEM)。对25个流域的分析表明,最高峰值流量为35.07 m3/s,最低峰值流量为4.55 m3/s,峰值时间为13.23 h,最低峰值时间为4.33 h。SUH模型已在Amli (E73023' N21023')测量站点的峰值流量中进行了验证,该站点收集了2010年和2011年季风期间的流量数据。实测流量与模拟流量的比较表明,在5-7%的平均变异性范围内拟合良好。SUH方法估计水文参数(包括峰值流量)的能力在未测量的集水区显示出更广泛的复制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Snyder Unit Hydrograph and GIS for Estimation of Flood for Un-Gauged Catchments in Lower Tapi Basin,India
In the flood prone catchments, it is needful to estimate the discharge, standard lag time, time of peak, and flood response of each watershed in the basin. The SUH method offers considerable advantage over others, and thus, has been chosen for estimation of flood response, contribution of flooding potential, percentage of flood volume for 25 sub-watersheds. The discretion of sub-watershed for estimation of peak discharge, time of peak, alternate lag time, and width of SUH at 50% and 75% of peak found to offer advantages over other methods. This paper considers Snyder Unit Hydrograph (SUH) with GIS based spatial database for calculating discharge at Lower Tapi Basin (LTB). The hydrological parameters of each sub-watershed such as river length, length of centroid, spatial area, land use, lateral slope, and terrain and soil factors have been extracted from GIS database. The geo-data has been combined with topographical maps to produce a digital elevation model (DEM) of 50 m cell size. The analysis for all 25 subwatersheds exhibit that 35.07 m3/s and 4.55 m3/s and 13.23 hours and 4.33 hours have been highest and lowest peak flow and time of peak respectively. The SUH model has been validated for peak discharge at a gauge site Amli (E73023' N21023') where discharge data were collected during 2010 and 2011 monsoon. A comparison between measured and SUH modelled discharge shows good fit within a mean variability range of 5-7%. The SUH methods ability to estimate hydrological parameters including peak flow discharge shows wider replication for un-gauged catchments.
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