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Showing 3 results for Shannon Entropy
A Comparative Study of Environmental Policies in Iran and Arab League Countries؛ Responsible Regionalism and Its Comprehensive Impact on Sustainable Development
Behrouz Mohamadrezapour, Hassan Heidari,
Volume 0, Issue 0 (3-1921)
Abstract
In recent decades, environmental crises have become one of the fundamental challenges for developing countries, and the need to adopt coordinated and regional policies to address these crises has become increasingly evident. Iran and the Arab League member states possess significant capacity for environmental cooperation due to their geographical, climatic, and economic similarities. However, differences in their environmental policies and practices necessitate a careful comparative study. Therefore, the purpose of this study is to conduct a comparative analysis of the environmental policies of Iran and eight selected Arab League countries (Egypt, Algeria, Iraq, Yemen, Morocco, Saudi Arabia, the United Arab Emirates, and Kuwait), with an emphasis on responsible regionalism and its impact on sustainable development. For this purpose, official UN data for two points in time, 2020 and 2024, were used as the basis for the analysis, and 31 key indicators were extracted within three dimensions: environmental, social, and economic. The research method is mixed, combining quantitative analysis (using Shannon entropy to weight indicators and the TOPSIS model to rank countries) with qualitative library research. The findings are presented in three stages: first, an assessment of environmental policies in 2020; second, a review of developments up to 2024; and third, an analysis of indicator trends in Iran and the eight selected Arab League countries. The results show that, based on the TOPSIS model, Iran ranked fifth among the countries studied in 2020 with a Ci value of 0.339, and second in 2024 with a Ci value of 0.452, representing the most significant development advancement with a three-rank improvement. This advancement was associated with increases in the weight of certain social (such as managed drinking water), economic (such as GDP per capita), and infrastructure indicators, although challenges such as rising greenhouse gas emissions and biological threats persist. The study highlights the need to strengthen environmental policies and design regional cooperation mechanisms to achieve sustainable development.

Analysis of performance indicators in terms of healthy city in Khuzestan province city by using data envelopment analysis (DEA)
Nafise Marsousi, Majid Akbari, Nazanin Hajipour, Vahid Boustan Ahmadi,
Volume 21, Issue 63 (12-2021)
Abstract

According the increasing population, especially the urban population in the world and increasing environmental pollution caused by it, The need for urban planning and management approaches based on indicators such as Healthy Cities approach seems inevitable. The purpose of this paper is to analyze the efficiency and ranking of healthy city indicators through 36 indicators (socioeconomic, health services, environmental and health care). research method applied research is descriptive, analytic and development. To analyze the data from the non-parametric linear programming technique of data envelopment analysis, cross ineffective, models and software Dea slover Shannon entropy is used. The geographic area of this study is Khuzestan province and its statistical population is 22 cities according to the census of 2016. The results of this research show that in terms of relative efficiency of Ahwaz city due to the centrality of the province and the availability of infrastructure and sanitary services with a relatively high distance with the highest performance and high level of performance was in the first rank. And the cities of Dezful, Shosh, Khorramshahr, Shoshtar, Abadan, Masjed Soleyman and Behbahan were selected as semi-efficient cities. Finally, it can be concluded that in terms of having the indicators of the healthy city, most of the cities of the province are Inefficient (64%).


Preparation of flood susceptibility map and its occurrence probability using Shannon entropy model (case study of Firoozabad river basin)
Dr Mohammad Ebrahim Afifi,
Volume 24, Issue 75 (12-2024)
Abstract
Among the natural hazards, without a doubt, the flood is known as a natural disaster. In this research, Shannon entropy model was used to prepare a flood sensitivity map. First, 34 flood watersheds were selected from Firoozabad basin, and then these 34 points were classified into two groups. With 22 points, 65 percent of the points for training and modeling, and 12 points, 35 percent of the locations that were not used in modeling were used for validation. First, a map of the status of the floods was developed and Then, 10 factors, slope, tilt, lithology, land use, NDVI, SPI, TWI, altitudes, rainfall and distances from the river were selected as flood factors in Firoozabad basin. Prioritizing the effective factors in the occurrence of flood by Shannon entropy index showed that the NDVI layers (2.03), rainfall (0.00), distance from the river (1.89), SPI (385.1), elevation classes (999 (0/19), gradient with weight (0,932), lithology (478/0), TWI (379/0), and land use (280/0), respectively (0/184) have the highest and the least impact Flood events. Based on the results of the ROC curve, the predicted surface area under the curve with 35% of the validation data is equal (91.42%) and for the success rate with 65% of the equal education data (92.53%).
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