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基于 HSPF 模型的小流域组合水流预测。

Ensemble streamflow projections for a small watershed with HSPF model.

机构信息

Faculty of Engineering, Environmental Engineering Department, Eskişehir Technical University, Iki Eylül Campus, Eskişehir, Turkey.

出版信息

Environ Sci Pollut Res Int. 2019 Dec;26(35):36023-36036. doi: 10.1007/s11356-019-06749-9. Epub 2019 Nov 11.

Abstract

A watershed modeling tool, Hydrological Simulation Program-FORTRAN (HSPF), was utilized to model the hydrological processes in the agricultural Sarısu watershed in western Turkey. The meteorological input data were statistically downscaled time series from General Circulation Model simulations. The input data were constructed as an ensemble of 400 individual time series of temperature, precipitation, dewpoint temperature, solar radiation, potential evapotranspiration, cloudiness, and wind velocity, as required by HSPF. The ensemble was divided into four subsets, each comprising of 100 time series, of different Special Report on Emissions Scenarios. Yearly and monthly total streamflow time series were obtained from the calibrated and validated HSPF model spanning a period of 116 years between the water years of 1984 and 2099. The projections in the watershed showed a median increase of 3 °C in yearly average temperatures between the beginning and end 30-year periods of the 116-year simulation periods based on 400 ensemble members while the corresponding change in total yearly precipitation was - 71 mm. These changes led to a decrease in yearly streamflows by 40% which reflected itself to varying degrees in monthly flows. Correlations were established between the principal drivers of the watershed hydrological cycle, namely temperature and precipitation, and streamflow. The results showed that the changes in the climatic conditions will greatly affect water-related issues in the watershed and emphasize the necessity of preparing carefully to adapt to a warmer and drier climate.

摘要

一个流域模型工具,水文模拟程序-FORTRAN(HSPF),被用来模拟土耳其西部农业 Sarısu 流域的水文过程。气象输入数据是从通用环流模型模拟中统计降尺度的时间序列。输入数据被构建为 HSPF 所需的温度、降水、露点温度、太阳辐射、潜在蒸散量、云量和风速的 400 个个体时间序列的集合。集合被分为四个子集,每个子集包含 100 个不同特殊报告排放情景的时间序列。从校准和验证 HSPF 模型中获得了 116 年期间(1984 年至 2099 年)的 116 年期间的每年和每月总流量时间序列。在基于 400 个集合成员的 116 年模拟期间的前 30 年和后 30 年期间,流域中的预测显示年平均温度中位数增加了 3°C,而总年降水量的相应变化为-71 毫米。这些变化导致年径流量减少了 40%,这在不同程度上反映在每月流量中。建立了流域水文循环的主要驱动因素,即温度和降水与流量之间的相关性。结果表明,气候条件的变化将极大地影响流域的与水有关的问题,并强调有必要做好充分准备以适应更温暖和更干燥的气候。

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