An Ecological Expert System Optimization for Assessing Environmental Water Requirements of Hypersaline Lakes

نویسندگان

چکیده

Abstract The present study proposes an applicable methodology to optimize environmental water requirement of hypersaline lakes with a focus on Urmia lake as the case in which remote sensing analysis, machine learning model and fuzzy expert system are linked. A was developed simulate effective abiotic parameters bands operational land imager (Landsat 8) were inputs depth total dissolved solids outputs model. Moreover, ecological using Mamadani inference generate habitat suitability map for selected target species. Then, multivariate linear assess unit level inflow variables An optimization between natural regulated flows supply loss minimized. applied Based results study, proposed combined is able balance requirements demand by allocating 60% 40% respectively. Average optimal less than 20% implies robustness Generating maps reliable method used flow might be significance method.

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ژورنال

عنوان ژورنال: Wetlands

سال: 2022

ISSN: ['0277-5212', '1943-6246']

DOI: https://doi.org/10.1007/s13157-022-01614-x