利用 SWAT 模型软件包建立径流对土地利用变化反应的水土评估工具模型

K. Ostad‑Ali‑Askari, M. Ghane, P. Kianmehr
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引用次数: 0

摘要

水文气候的退化,例如潮湿和消散,很可能由于气候的变化而加剧,也可能由于对社会经济、机械和生态地区的不利影响而加剧。要规划和设计大多数水利工程,如水坝,调节河流径流至关重要。如果河流没有任何位置来计算径流量,则经常使用水力模型来估算径流量。SWAT 是应用最广泛的计算机模型之一。在这个原型中,我们希望输入降水、温度、风速、辐射和比值等有影响的气候数据,以及包括曲线数(CN)和粗糙度系数在内的流域数据来计算流域径流。有些流域的气象站很少,一个气象站登记的数据有可能不能代表整个流域。因此,需要确定径流估算误差的大小。结果表明,在月平均降水量、日照、相对湿度、风速和温度减少 32.07% 的情况下,模型径流量分别减少 65.36%、增加 116.82%、减少 46.78%、增加 127.16% 和增加 39.52%。在径流近似值中,风速和辐射是最敏感的成分,而温度是最不敏感的成分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Soil and water assessment tool model for runoff reaction to land use variations by SWAT model package
Hydro-climatic degeneracies, for example moist and dissipations, have most likely enlarged owing to climatical modification and could due to diffident possessions on socio-economic, mechanical and ecological regions. To plan and concept most hydraulic structures, e.g., dams, it is vital to regulate the runoff of the rivers. If the river absences any position to live the yield, the hydraulic mockups are frequently used to estimate it. SWAT is one of the greatest widely-applied computerized models. In this prototypical, we'd like to feed such influential climatological data as precipitation, temperature, wind speed, radiation and ratio, also as, watershed data including the Curve Number (CN) and roughness coefficient to calculate the watershed runoff. Some watershed contains few weather stations, and there is a risk that the registered data in a station do not represent the whole watershed. Consequently, the amount of the runoff estimation error needs to be determined. The obtained results indicate that with a 32.07% decrease in the average monthly precipitation, sunshine, relative humidity, wind and temperature, we witness 65.36% decrease, 116.82% increase, 46.78% decrease, 127.16% increase, and 39.52% increase in modeled runoff, respectively. The wind speed and therefore the radiation are the foremost sensitive and temperature is that the least sensitive components within the runoff approximation.
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