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基于 GIS 的沿海城市卡拉奇生物燃料种植基地筛选模型。

GIS- Based Screening Model of Coastal City Karachi for Plantation of Biofuel Source.

机构信息

Department of Earth & Environmental Sciences, Bahria University, Karachi Campus, Karachi, Pakistan.

出版信息

Sci Rep. 2020 Mar 13;10(1):4666. doi: 10.1038/s41598-020-61052-9.

Abstract

Geospatial techniques are mediating in decision making, diversified data management and critical analysis. Jatropha Curcas. is a biodiesel crop and friendly to the regions of saline water environment. This study focuses to map the suitable plantation sites for biodiesel energy crop by using meteorological parameters and satellite imageries of ASTER GDEM and Landsat 8. The thematic layers of soil adjacent to existing vegetation, topographical elevation, slope, land surface temperature, and humidity are created and analyzed with soil types, bareness index and stream orders. Suitability of sites for plantation is a function of these variables which are found to be favorable in the study area. It should be taken into consideration that Jatropha Curcas plantation in Karachi which may contribute in local economic prosperity and support in maintaining heat-sink for the industrialized city.

摘要

地理空间技术正在为决策、多样化的数据管理和关键分析提供支持。麻疯树是一种生物柴油作物,对盐水环境地区具有友好性。本研究旨在通过使用气象参数和 ASTER GDEM 和 Landsat 8 的卫星图像来绘制生物柴油能源作物的适宜种植区。创建并分析了与现有植被相邻的土壤、地形高程、坡度、地表温度和湿度等专题图层,并与土壤类型、裸地指数和溪流等级相结合进行分析。种植区的适宜性是这些变量的函数,研究区域内这些变量都较为有利。需要考虑的是,在卡拉奇种植麻疯树可能有助于当地经济繁荣,并为工业化城市提供热汇支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d1e/7069951/db924da87f4f/41598_2020_61052_Fig1_HTML.jpg

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