The Ranking of Razan Basin Erosion by Using the Fuzzy Logic, EPM and BLM Model in GIS Environment

Awareness of the amount of the danger of ablation, the possibility of recognizing critical areas and   arranging of managing plans and protecting plans achieved. the present study is produced aiming  the use of fuzzy logic EPM and BLM in predicting the power of ablation and calculation of the  whole...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Jughrāfiyā va tusi̒ah (Online) 2022-09, Vol.20 (68), p.62-86
Hauptverfasser: Mousa Abedini, Darush Abolfathi, maryam Raisi
Format: Artikel
Sprache:per
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Awareness of the amount of the danger of ablation, the possibility of recognizing critical areas and   arranging of managing plans and protecting plans achieved. the present study is produced aiming  the use of fuzzy logic EPM and BLM in predicting the power of ablation and calculation of the  whole illuviation that has been produced in a year in the Razan basin by help of evaluation and GIS then the correctness of the studies have been compared according to the results of BLM model the more of  the studied are wan in low erosion  in the  rest of the paper by using EPM model the whole of illuviation  that had been produced in Razan basin was calculated according to the results of EPM model the power of ablation in the studied area laid in the ablation of middle class also the results of game operator of  fuzzy %98 of study area was show reel in five class of the less clanger to the most danger final the results of credit evaluating of models showed that the results of EPM model had more similarity with the prepare data of the study that show the correctness of  EPM model  in analyzing   ablation of  the studied area according to the ranking of the area and using EPM model 28/44- 32/16 and 39 /40 % Percent of the space of the area laid in the classes of the more less .less- middle.
ISSN:1735-0735
2676-7791
DOI:10.22111/gdij10.22111.2022.7002