使用MEDALUS模型评估埃及西北部El Minya省的荒漠化敏感性

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2023-07-31 DOI:10.1016/j.ejrs.2023.07.013
Hoda Nour-Eldin, Adel Shalaby, Rania M. Mohamed, Ehab Youssef, Neven G. Rostom, H.S. Khedr
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引用次数: 0

摘要

荒漠化导致土地产量下降,这是生物物理相互作用和人类因素随时间和空间变化造成的。本文旨在利用地中海荒漠化和土地利用(MEDALUS)方法评估埃及西北部明亚省的荒漠化敏感性。该研究区是土地复垦和开发项目的一个有前景的重要区域。四个指标;气候,植被,管理和土壤,在这项研究中使用。对2021年陆地卫星8号(OLI)卫星图像进行处理,计算NDVI指数,以评估植被质量指数。然后,将其划分为土地覆盖类别,以计算管理质量指数。在气候质量指数中使用了ASTEREM卫星数据和气候数据。收集了70个土壤样本,并对其化学和物理特性进行了分析,以用于检索土壤质量指数。这些指标被纳入荒漠化敏感性模型,并被用作投入标准。地貌单元提取表明,研究区内包括重要地貌,即:;结果表明,荒漠化严重敏感区占研究区的86.7%。影响敏感性的主要因素是气候条件(干旱、半干旱)、低土壤质量和管理以及低植被覆盖。此外,约3%的研究区域位于中度敏感类别,而低敏感区域为1.06%。目前的研究支持决策者减少约束性环境条件。
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Assessment of the desertification sensitivity of Northwestern El Minya Governorate, Egypt using MEDALUS model

Desertification leads to a decline in land production, resulting from biophysical interaction and human factors with temporal and spatial changes. This paper aims to evaluate the desertification sensitivity using Mediterranean Desertification and Land Use (MEDALUS) approach in the Northwestern El Minya Governorate in Egypt. The study area is one of the promising and important areas for land reclamation and developmental projects. Four indicators; climate, vegetation, management, and soil, were used in this study. Landsat 8 (OLI) satellite image 2021 was processed to calculate NDVI index to assess vegetation quality index. Then, it was classified into land cover classes to calculate the management quality index. ASTERDEM satellite data and the climate data were used in the climate quality index. Seventy soil samples were collected and analyzed for chemical and physical properties to be used for the retrieval of soil quality index. These indicators were integrated and used as input criteria in the model of desertification sensitivity. The physiographic unit extraction indicated that significant landforms were included in the study area namely; Old wadi Sediments, Peniplain, old river terraces, Shoulders, Sand sheets, Rock outcrops, and Sand dunes, Erosional Plains, Hill and Plain out wash. The obtained results showed that the severely sensitive area to desertification was represented by 86.7 % of the study area. The main factors affecting the sensitivity were climate conditions (arid, semi-arid), low soil quality and management in addition to the low vegetation cover. Furthermore, about 3% of the study area was located in the moderate sensitive class while the low sensitive area exhibits 1.06 %. Present study supports decision makers to reduce the constraining environmental conditions.

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7.20
自引率
4.30%
发文量
567
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