درخت حوزه‌های تخصصی

The present study aims to present an analytical review of the relationship between development-driven education and environmental improvement. Previous research in this field has often examined the effect of environmental pollution on the human development index in general. However, this study uniquely focuses on a separate review of human development indicators on the environment and education. Thus, this study applied an econometric method using Eviews13 software during the years 1990-2023. The analytical review of the effect of development-driven education on environmental improvement, with an emphasis on the human development index, was conducted among selected countries of the Middle East (United Arab Emirates, Bahrain, Egypt, Iran, Iraq, Jordan, Yemen, Kuwait, Lebanon, Libya, Oman, Qatar, Turkey, Syria, Cyprus, and Saudi Arabia) and Iran. The dependent variable in this paper was CO2 emission, and the independent variables included education, health, standard of living (a measure to evaluate the human development index), fossil fuel consumption, and the growth rate of the urban population. The results of the study in the Middle Eastern countries indicate that the measurement dimensions of the human development index have a negative and significant effect on environmental pollution. Higher human development is beneficial for the environment and mitigates CO2 emissions and other pollutants. Additionally, this protects the environment by lowering pressure on natural resources. The variables of urbanization rate and fossil fuel consumption have a positive effect on the level of air pollution. In addition, the results of the study in Iran demonstrate that fossil fuel consumption and urbanization are factors that directly influence the country’s air pollution, and the measurement dimensions of the human development index. No significant relationship was found regarding education (average years of education for adults), but a negative and significant effect was shown on environmental pollution.

This study aimed to delineate groundwater recharge zones using a combination of analytical hierarchy process (AHP), fuzzy-AHP, and frequency ratio (FR) models. Additionally, it aimed to compare the effectiveness of these models in groundwater recharge potential zone mapping. To achieve these objectives, nine groundwater influencing factors were considered, including geology, soil types, lineament density, elevation, slope, topographic wetness index, drainage density, land use land cover, and rainfall. Thematic maps for all these factors were generated using satellite and conventional data in the ArcGIS environment. Weight was assigned to each thematic layer based on its significance to recharge. All thematic layers were combined using AHP model-l (WLC), AHP model-ll (Weighted sum), fuzzy-AHP overlay, and FR-based model using ArcGIS. The findings revealed that 15% and 39% of the study area have high recharge potentials according to AHP-based model-l and model-ll, respectively. The FAHP model demarcated 43% of the area as high recharge zones while the FR model demarcated 42% of the area as high recharge zones. The majority of high groundwater recharge areas were found in the central part of the study area, while the southern part was demarcated as a moderate recharge zone. The eastern and western parts were demarcated as low recharge potentials zones. To validate the accuracy of these models, the study used receiver operating characteristic (ROC) validation curves. The ROC curves revealed that AHP model-ll had the highest accuracy (AUC=89%) followed by the FAHP model (AUC=88%), AHP model-l (AUC=84%), and FR (AUC=81%)...