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Estimation of Volumetric Runoff Coefficients for Texas Watersheds Using Land-Use and Rainfall-Runoff Data

机译:利用土地利用和降雨径流数据估算德克萨斯流域的径流径流系数

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The rational method for peak discharge (Q_p) estimation was introduced in the 1880s. Although the rational method is considered simplistic, it remains an effective method for estimating peak discharge for small watersheds. The runoff coefficient © is a key parameter for the rational method and can be estimated in various ways. Literature-based C values (C_y) are listed for different land-use/land cover (two words, no hyphen) (LULC) conditions in various design manuals and textbooks; however, these C_lit values were developed with little basis on observed rainfall and runoff data. In this paper, Cut values were derived for 90 watersheds in Texas by using LULC data for 1992 and 2001; the C_iit values derived from the two data sets were essentially the same. Also for this study, volumetric runoff coefficients (Cv) were estimated by using observed rainfall and runoff depths from more than 1,600 events observed in the watersheds. Watershed-median and watershed-average C_v values were computed, and both are consistent with data from the National Urban Runoff Program. In addition, C_v values were estimated by using rank-ordered pairs of rainfall and runoff depths (I.e., frequency matching). As anticipated, C values derived by all three methods (literature based, event totals, and frequency matching) consistently had larger values for developed watersheds than for undeveloped watersheds. Two regression equations of C_v versus percent impervious area were developed and combined into a single equation that can be used to rapidly estimate C_v values for similar Texas watersheds.
机译:1880年代引入了合理的峰值放电(Q_p)估计方法。尽管认为合理方法过于简单,但它仍然是估算小流域峰值流量的有效方法。径流系数©是有理方法的关键参数,可以通过多种方式估算。在各种设计手册和教科书中,针对不同的土地利用/土地覆盖(两个字,没有连字符)(LULC)条件列出了基于文献的C值(C_y);但是,这些C_lit值是根据观测到的降雨和径流数据很少得出的。本文利用1992年和2001年的LULC数据得出了得克萨斯州90个集水区的Cut值。从两个数据集得出的C_iit值基本相同。同样对于本研究,通过使用在流域中观察到的1,600多个事件中观测到的降雨和径流深度,估算了体积径流系数(Cv)。计算了流域中值和平均流域C_v值,两者均与国家城市径流计划的数据一致。此外,C_v值是通过使用降雨和径流深度(即频率匹配)的等级对对进行估算的。正如预期的那样,通过三种方法(基于文献,事件总数和频率匹配)得出的C值在发达流域始终具有比未发达流域更大的C值。建立了C_v对不渗透面积百分比的两个回归方程,并将其组合为一个方程,可用于快速估算类似德克萨斯州流域的C_v值。

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