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Prioritization of subwatersheds based on flooding conditions using hydrological model, multivariate analysis and remote sensing technique
Author(s) -
Darabi Hamid,
Shahedi Kaka,
Solaimani Karim,
Miryaghoubzadeh Mirhasan
Publication year - 2014
Publication title -
water and environment journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 37
eISSN - 1747-6593
pISSN - 1747-6585
DOI - 10.1111/wej.12047
Subject(s) - flooding (psychology) , surface runoff , watershed , prioritization , environmental science , context (archaeology) , hydrology (agriculture) , return period , multivariate statistics , water resource management , statistics , flood myth , computer science , geography , mathematics , geology , engineering , psychology , ecology , geotechnical engineering , archaeology , management science , machine learning , psychotherapist , biology
Prioritization of watersheds has gained more importance in natural resources management, particularly in the context of watershed management. Flooding potential is one of the main indices used to prioritize watersheds. The objective of this study is to investigate the P ol‐ D oab S hazand W atershed flooding conditions as a result of land use change and prioritization of its subwatersheds using rainfall – runoff data. For this purpose, after computation of design flow with different return periods, factor analysis technique was applied to determine the best flow with proper return period towards evaluation and prioritization of subwatersheds. The results showed that the design flow with 25‐year return period ( Q25 ) is suitable. The results indicate that subwatershed 22 is the highest priority because of large changes in peak flow, and subwatershed 2 given the lowest priority since changes in peak flow is the lowest.