Department of Water Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Iran.
Department of Biological and Agricultural Engineering and Zachry Department of Civil Engineering, Texas A&M University, College Station, TX, USA.
Environ Sci Pollut Res Int. 2019 Nov;26(31):32517-32544. doi: 10.1007/s11356-019-06419-w. Epub 2019 Oct 17.
This study examined the sensitivity of reference crop evapotranspiration (ET) to climatic variables in a humid region in Iran. ET was estimated using the FAO-56 Penman-Monteith (PMF-56), Blaney-Criddle (BC), and Hargreaves-Samani (HG) methods. Sensitivity analysis was performed by two distinct methods which were (i) changing the value of a certain climatic parameter in a range between ± 20% of its long-term mean with an increment of 5%, and calculating the percentage of change in ET, while the other parameter values were kept constant; and (ii) calculating the sensitivity coefficients (SCs) for each of the climatic variables. For each of the climatic parameters, the Iso-SC maps were plotted using the Arc-GIS software. Results indicated that the most sensitive parameter for ET was the maximum air temperature (T) by PMF-56 and HG methods. Increasing T up to 20% led to an increase in ET between 8.5 and 15%, at the selected stations by PMF-56. In contrast, the less sensitive parameter for ET was the minimum air temperature (T) for PMF-56 and T for HG. For PMF-56, increasing the minimum relative humidity (RH) to 20% led to a decrease in ET in the range between 0.5 and 5%. The highest values of SC in the cases of T and T were found to be equal to 0.8 and 0.53, respectively. Similarly, the SC in the case of RH varied between - 0.29 and - 0.0038. This range for wind speed was between 0.06 and 0.22 and in the case of sunshine hours it was between 0.272 and 0.385. These findings would be useful in the scientific management of water resources in the region.
本研究考察了伊朗湿润地区参考作物蒸散量(ET)对气候变量的敏感性。使用 FAO-56 彭曼-蒙特斯(PMF-56)、布伦尼-克里德尔(BC)和哈格雷夫斯-萨曼尼(HG)方法估算 ET。通过两种不同的方法进行了敏感性分析,分别是:(i)在某一气候参数的长期平均值的±20%范围内改变其值,增量为 5%,并计算 ET 的变化百分比,同时保持其他参数值不变;(ii)计算每个气候变量的敏感性系数(SC)。对于每个气候参数,使用 Arc-GIS 软件绘制等 SC 图。结果表明,PMF-56 和 HG 方法中对 ET 最敏感的参数是最高空气温度(T)。在选定的站点,T 增加 20%会导致 ET 增加 8.5%至 15%。相比之下,PMF-56 中对 ET 较不敏感的参数是最低空气温度(T)和 HG 中的 T。对于 PMF-56,将最小相对湿度(RH)增加到 20%会导致 ET 在 0.5%至 5%的范围内减少。T 和 T 的 SC 最高值分别为 0.8 和 0.53。同样,RH 的 SC 在-0.29 到-0.0038 之间变化。风速的范围在 0.06 到 0.22 之间,而日照时数的范围在 0.272 到 0.385 之间。这些发现将有助于该地区水资源的科学管理。