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Prediction of the Impacts of Climate Change on the Geographical Distribution of Dysentery in Iran

Chinese Journal of Urban and Environmental Studies 2022年第3期10卷 74-91页

作者： Giti BAHRAMI Homeira SAJADI hassan rafiee Mehdi NOROUZI Alireza SHAKIBA Social Determinants of Health Research Center Alborz University of Medical Sciences Department of Social Welfare Management University of Social Welfare and Rehabilitation Sciences Social Welfare Management Research Center University of Social Welfare and Rehabilitation Sciences Social Determinants of Health Research Center University of Social Welfare and Rehabilitation Sciences Center for Remote Sensing & GIS Research Faculty of Earth Sciences Shahid Beheshti University

Dysentery is a water-and food-borne infectious disease and its incidence is sensitive to climate change. Although the impact of climate change on dysentery is being studied in specific areas, a study in Iran is lacking. In this study, RCP 4.5 and RCP 8.5 scenarios were used to predict the prevalence of dysentery in Iran between 2050 and 2070. This study is a secondary analysis using Geographically Weighted Regression, and 273 cities of Iran were analyzed between March 2011 and March 2017. Bioclimate variables were used as independent variables. Ecological data about the prevalence and incidence of dysentery, which were collected between 2011 and 2017, were used as the dependent variables. The result shows the incidence of dysentery is significantly associated with bioclimate change exposure, in 2050 and 2070, based on RCP 4.5 and RCP 8.5.Our findings showed that in the absence of adaptation of the population, an increase in the risk of bioclimate-related diseases is expected by around 95.6% in the mid-century compared with the beginning of the century with regional variations. Based on these findings, the geographical distribution of the disease will also change. In 2050, the pattern of disease distribution would be changed, and the north of Iran will be included in the vulnerable regions. In 2070, the southeastern and northern parts of Iran will have the most vulnerability to climate change. Our study contributes important knowledge to this perspective by providing insightful findings and pieces of evidence for climate change adaptation and mitigation.

关键词： Climate change health Geographically Weighted Regression dysentery gastrointestinal disease

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Utilization of Railway Track for Grid Connected PV System

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Journal of Power and Energy Engineering 2020年第4期8卷 25-33页

作者： Md. Akibur Rahaman Md. Mustaque Nadim Syeed rafiee Abied Sayedur Rahman Md. Mahmud hassan Moshiur Rahman Ripon Department of Electrical and Electronic Engineering Bangladesh University of Business and Technology (BUBT) Mirpur Bangladesh Department of Electrical and Electronic Engineering Islamic University of Technology Gazipur Bangladesh Khulna University Khulna Bangladesh Northern University Dhaka Bangladesh

Electric power is a key driver of economic growth and prosperity (1). But access to electricity still remains a distant dream for majority of the population living in the remote and arid areas of developing countries mostly Indian sub-continent. Solar photovoltaic (PV) systems have shown their potential in rural electrification projects around the world. Photovoltaic (PV) systems (2) use wafers, which are typically made of crystalline silicon when exposed to sunlight, will produce a small direct current. Available free land is very limited in Bangladesh. So to setup a solar PV Power plant, an alternate has been investigated in this paper work. The available free space over the railway tracks has been considered for power generation. The design calculation and analysis were carried out before it was modeled, simulated in SAM (Version 6.1). The aim of the paper is to analyze the technical description of a photovoltaic system, analyzing each of the elements, the presentation of different types of existing plants and the regulation, and presenting a proposal of such a plant based on the theoretical considerations and calculations.

关键词： Pv Array MPPT DC/DC Converter Solar Irradiation

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