APPRAISAL OF URBANIZATION AND ITS IMPACTS ON THE ALBEDO AND CLIMATE CHANGE OF THE PUNJAB-PAKISTAN: A SPATIO-TEMPORAL ANALYSIS

D. Amjad, S.A.Shirazi, F.Sarwar, R.W.Aslam, S.Kousar
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Abstract

The research is aimed at evaluating the process of urbanization and it’s spatio-temporal impacts on albedo and the changing climate of the Punjab. Climate change in urban areas has become a public focal point, as urban development in our present-day environment is one of the mostcritical aspects of human activities. The shift in the reflective properties of the surface is one of theparticular climatic consequences of urbanization which most researchers have overlooked (Albedo).Changes in urbanized land surface properties resulted in a global, regional, and local changes inbiochemical cycles and environment. This analysis aims to identify the urban land use of the 1990-2018 study area (decadal) and evaluate Albedo and Climatic Variables' trends over the selected region.This study will provide a complete code of classification in Google Earth Engine for researchers. InGoogle Earth Engine, the classification technique was utilized to detect urban areas and barren landcover types by applying coding over four images of 1990, 2000, 2010, and 2018 of Punjab Province.The Albedo maps were created in the same way for the years 2000 and 2018. Climatic maps werecreated from 1990 to 2018 by applying the Inverse Distance Weighted method in a GIS system. Therehas been an apparent increase in the urban area of Punjab Province from 1990 to 2018. The urban areahas increased from 1183.5342 km2 to 8396.4618 km2 during the study period. Results from climaticmaps showed hotspots in the areas that have undergone urbanization. Overall, the accuracy of theclassification images was 81-88 percent, which was foremost to achieve the objectives of the research.
巴基斯坦旁遮普邦城市化及其对反照率和气候变化影响的时空分析
本研究旨在评价城市化进程及其对旁遮普省反照率和气候变化的时空影响。城市地区的气候变化已经成为公众关注的焦点,因为当今环境下的城市发展是人类活动最关键的方面之一。地表反射特性的变化是城市化的特殊气候后果之一,但大多数研究人员都忽视了这一点(反照率)。城市化土地表面性质的变化导致了全球、区域和局部生物化学循环和环境的变化。该分析旨在确定1990-2018年研究区(年代际)的城市土地利用,并评估所选区域的反照率和气候变量的趋势。本研究将为研究人员提供完整的Google Earth Engine分类代码。在google Earth Engine中,通过对旁遮普省1990年、2000年、2010年和2018年的四幅图像进行编码,利用该分类技术检测城市地区和荒地覆盖类型。2000年和2018年的反照率地图也是以同样的方式绘制的。在GIS系统中应用逆距离加权方法创建了1990年至2018年的气候图。从1990年到2018年,旁遮普省城市地区的人口明显增加。研究期间,城市面积从1183.5342 km2增加到8396.4618 km2。气候图的结果显示,热点地区已经经历了城市化。总体而言,分类图像的准确率为81- 88%,这是实现研究目标的首要条件。
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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