Literature DB >> 17357820

Quantitative assessment of desertification in south of Iran using MEDALUS method.

A Sepehr1, A M Hassanli, M R Ekhtesasi, J B Jamali.   

Abstract

The main aim of this study was the quantitative assessment of desertification process in the case study area of the Fidoye-Garmosht plain (Southern Iran). Based on the MEDALUS approach and the characteristics of study area a regional model developed using GIS. Six main factors or indicators of desertification including: soil, climate, erosion, plant cover, groundwater and management were considered for evaluation. Then several sub-indicators affecting the quality of each main indicator were identified. Based on the MEDALUS approach, each sub-indicator was quantified according to its quality and given a weighting of between 1.0 and 2.0. ArcGIS 9 was used to analyze and prepare the layers of quality maps using the geometric mean to integrate the individual sub-indicator maps. In turn the geometric mean of all six quality maps was used to generate a single desertification status map. Results showed that 12% of the area is classified as very severe, 81% as severe and 7% as moderately affected by desertification. In addition the plant cover and groundwater indicators were the most important factors affecting desertification process in the study area. The model developed may be used to assess desertification process and distinguish the areas sensitive to desertification in the study region and in regions with the similar characteristics.

Mesh:

Year:  2007        PMID: 17357820     DOI: 10.1007/s10661-007-9613-6

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  4 in total

1.  Evaluation and selection of indicators for land degradation and desertification monitoring: methodological approach.

Authors:  C Kosmas; Or Kairis; Ch Karavitis; C Ritsema; L Salvati; S Acikalin; M Alcala; P Alfama; J Atlhopheng; J Barrera; A Belgacem; A Solé-Benet; J Brito; M Chaker; R Chanda; C Coelho; M Darkoh; I Diamantis; O Ermolaeva; V Fassouli; W Fei; J Feng; F Fernandez; A Ferreira; C Gokceoglu; D Gonzalez; H Gungor; R Hessel; J Juying; H Khatteli; N Khitrov; A Kounalaki; A Laouina; P Lollino; M Lopes; L Magole; L Medina; M Mendoza; P Morais; K Mulale; F Ocakoglu; M Ouessar; C Ovalle; C Perez; J Perkins; F Pliakas; M Polemio; A Pozo; C Prat; Y Qinke; A Ramos; J Ramos; J Riquelme; V Romanenkov; L Rui; F Santaloia; R Sebego; M Sghaier; N Silva; M Sizemskaya; J Soares; H Sonmez; H Taamallah; L Tezcan; D Torri; F Ungaro; S Valente; J de Vente; E Zagal; A Zeiliguer; W Zhonging; A Ziogas
Journal:  Environ Manage       Date:  2014-11       Impact factor: 3.266

2.  Fuzzy comprehensive evaluation-based disaster risk assessment of desertification in Horqin Sand Land, China.

Authors:  Yongfang Wang; Jiquan Zhang; Enliang Guo; Zhongyi Sun
Journal:  Int J Environ Res Public Health       Date:  2015-02-03       Impact factor: 3.390

3.  Anthropogenic depletion of Iran's aquifers.

Authors:  Roohollah Noori; Mohsen Maghrebi; Ali Mirchi; Qiuhong Tang; Rabin Bhattarai; Mojtaba Sadegh; Mojtaba Noury; Ali Torabi Haghighi; Bjørn Kløve; Kaveh Madani
Journal:  Proc Natl Acad Sci U S A       Date:  2021-06-22       Impact factor: 11.205

4.  Desertification Sensitivity Analysis Using MEDALUS Model and GIS: A Case Study of the Oases of Middle Draa Valley, Morocco.

Authors:  Atman Ait Lamqadem; Biswajeet Pradhan; Hafid Saber; Abdelmejid Rahimi
Journal:  Sensors (Basel)       Date:  2018-07-11       Impact factor: 3.576

  4 in total

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