利用遥感和GIS技术在伊拉克南部一些地区模拟和估算蒸散量

D. Nedawi, Forqan Kh. Al-Draji
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摘要

在伊拉克南部进行了一项研究。研究区面积为16485.4418 km2,行政区划为Basrah省(北部地区)和Dhi-Qar省(南部地区)。本研究的目的是设计一个利用遥感数据和地理信息系统估算蒸散发值(mm)的数字模型,并将结果与分布在研究区域内的四个气候站的实际计算值进行比较。同时研究每年1月和7月的四年年表。结果表明,计算值与实际值之间存在高度显著相关(r = 0.923**),证明了所建模型估算蒸散发值的准确性。结果还表明,与每年的1月份相比,7月份的蒸散量有所增加,这是由于高温和太阳光线的入射角在7月份几乎是垂直的。研究区蒸散量随植被覆盖的不同而变化,随植被覆盖的增加而减小,反之亦然。此外,电厂和油田有限区域内的蒸发蒸腾值上升所造成的影响,也证明了这些地区有大量的热辐射排放。蒸散量与被覆盖面积之间存在不一致性,每个场景的蒸散量被划分为4个类别,且这些类别的值随土地覆盖类型的不同而不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling and estimation of evapotranspiration using remote sensing and GIS technologies in some areas of southern Iraq
A study was conducted in southern Iraq. The study area was 16485.4418 km2 with the administrative boundaries of Basrah (North region) and Dhi-Qar (south region) Governorates. The aim of this study to design a digital model for estimating evapotranspiration values (mm) using remote sensing data and geographic information systems and comparing the results with the actual values calculated from four climatic stations distributed within the study area. As well as to study January and July from each year for a four-years chronology. The results showed that there is a highly significant correlation (r = 0.923**) between the calculated and actual values, and this proves the accuracy of the proposed model in estimating the values of evapotranspiration. The results also showed that there is a rise in the values of evapotranspiration in the month of July compared to the month of January of each year due to the high temperatures and the angle of incidence of the sun’s rays, which is almost vertical in the month of July. The results also showed that the study area varies in the values of evapotranspiration according to the different vegetation cover, as the values decrease with the increase of vegetation cover and Vice versa. As well as the effect of the values of evapotranspiration by rising for limited areas in the areas of electric power plants and oil fields, and this gives evidence of large quantities of thermal and radioactive emissions in the areas. The results also showed that there is a inconsistency between the values of evapotranspiration and the areas covered, which were divided into four categories for each scene, and that the values of these categories differ according to the types of land cover.
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