Investigation of Climatological Components on Runoff Modeling using SWAT

K. Ostad‑Ali‑Askari, S. Alvankar, H. Rabiefar
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Abstract

It was planned most hydraulic projects, for instance barriers, it was defined the overflow of the rivers. If the river absences any position to measure the yield, the hydraulic models can be utilized to estimate it. SWAT is widely-used computerized mockups. It was required to feed such influential climatological information as precipitation, temperature, wind speed, solar radiation and relative humidity, in addition to, watershed information with the curve number and roughness constant to compute the watershed runoff. Watershed contain few climate positions and it was dangerous that the registered data in a position was not characterized the entire watershed. Consequently, the amount of the runoff estimation fault wants to be defined. This research considers the sensitivity of the runoff estimation for rivers, Using the SWAT prototypical, based on differences in such climatological components as precipitation, solar radiation, wind, humidity and temperature. The obtained consequences specify that with a 30.46% decline in the average monthly precipitation, sunshine, relative humidity, wind and temperature, it was set ermined 64.73% decline, 115.14% rise, 45.99% reduce, 126.58% rise and 40.15% rise in modeled runoff, individually. The wind speed and the solar radiation are the most sensitive and temperature is the least sensitive parameters in the runoff estimation.
利用SWAT进行径流模拟的气候因子研究
它被规划为大多数水利工程,例如屏障,它被定义为河流溢出。如果河流没有任何位置可以测量产量,可以利用水力模型来估算。SWAT是广泛使用的计算机模型。需要输入降水、温度、风速、太阳辐射、相对湿度等有影响的气候信息,以及具有曲线数和粗糙度常数的流域信息来计算流域径流。流域包含很少的气候位置,在一个位置上登记的数据不具有整个流域的特征是危险的。因此,需要确定径流估计误差的大小。本研究利用SWAT模型,基于降水、太阳辐射、风、湿度和温度等气候要素的差异,考虑了河流径流估算的敏感性。结果表明,在月平均降水量、日照、相对湿度、风和温度下降30.46%的情况下,模拟径流分别下降64.73%、上升115.14%、减少45.99%、上升126.58%和上升40.15%。风速和太阳辐射是径流估算中最敏感的参数,温度是最不敏感的参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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