ESTIMATION OF CARBON STORAGE CAPACITY OF DIFFERENT WARDS THROUGH MAJOR CARBON ABSORBING SINKS USING REMOTE SENSING AND GIS TECHNIQUES: A CASE STUDY ON KHULNA CITY, BANGLADESH

Pankaj Kanti Jodder, Rabeya Sultana Leya
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引用次数: 1

Abstract

In recent decades, with the rapid growth of urbanization, the amount of carbon emission in urban areas has been globally accelerated. In this study, the carbon storage capacity of different small administrative regions (wards) of Khulna city has been estimated based on four major sinks types- trees, vegetations, soils, and water bodies. To estimate carbon storage capacity, the total coverage area of each of the sink’s types has been estimated by Sentinel-II satellite image data of 2019 through supervised image classification of remote sensing techniques. A comparison of more carbon-absorbing capacities between the wards has been assessed through GIS techniques as well. Results show that the north-west part of Khulna city has some extent of carbon sinks. However, the lower portion in the southern part is congested with built-up areas and has a huge lacking of carbon sinks. The obtained amount of carbon about 9306992 kg, 7733698 kg, 7328298 kg, and 6030692 kg have been absorbed through respective trees, vegetations, soils, and water bodies which is about 31%, 25%, 24%, and 20% of total absorption, respectively. The result shows that carbon absorption capacity is very high in ward no. 3 whereas ward no. 1, 2, 4, 6, 9, 14, 16, and 31 are high carbon-absorbing wards. Ward no 8, 13, 15, 17, 18 and 24 are moderate, ward no 5, 10, 12, 21, 22, 25, 26, 27, 28, 29 and 30 are lower and ward no 7, 11, 19, 20 and 23 are very lower carbon-absorbing wards of Khulna city. The findings of this study opt to provide valuable insights amongst significant stakeholders, i.e., local people, urban planners, policy-makers, and non-government organizations regarding the emission and absorption of carbon.  
利用遥感和地理信息系统技术通过主要碳吸收汇估算不同地区的碳储存能力:以孟加拉国库尔纳市为例研究
近几十年来,随着城市化的快速发展,全球城市地区的碳排放量也在加速增长。本研究基于树木、植被、土壤和水体四种主要汇类型,估算了库尔纳市不同小行政区(区)的碳储量。为了估算碳储存能力,利用2019年Sentinel-II卫星图像数据,通过遥感监督图像分类技术,估算了每种碳汇类型的总覆盖面积。还通过地理信息系统技术对各区之间更多的碳吸收能力进行了比较。结果表明,库尔纳市西北部具有一定程度的碳汇。然而,南部的下部是拥挤的建成区,严重缺乏碳汇。所获得的碳量分别为9306992 kg、7733698 kg、7328298 kg和6030692 kg,分别通过树木、植被、土壤和水体吸收,约占总吸收率的31%、25%、24%和20%。结果表明:1号病房的吸碳能力非常高。3号病房;1、2、4、6、9、14、16、31是高吸碳病房。库尔纳市8、13、15、17、18、24号病区碳吸收率中等,5、10、12、21、22、25、26、27、28、29、30号病区碳吸收率较低,7、11、19、20、23号病区碳吸收率极低。本研究的结果为重要的利益相关者,即当地居民、城市规划者、政策制定者和非政府组织提供了关于碳排放和吸收的有价值的见解。
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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