Shahid Beheshti UniversityEnvironmental Sciences1735-132413120150321Weather Elements Monitoring in North-East Stations of Iran as a Profile of Climate ChangeWeather Elements Monitoring in North-East Stations of Iran as a Profile of Climate Change11497488FAMahmoud AhmadiDepartment of Climatology, Faculty of Earth Science, University of Shahid Beheshti, TehranHasan LashkariFaculty of Earth Science, University of Shahid Beheshti, TehranGhasem KeikhosraviFaculty of Earth Science, University of Shahid Beheshti, Tehran0000-0002-3668-9394Majed AzadiDepartment of havashenasi, Orgnization havashenasi, TehranJournal Article20151121Climate change with changing climate patterns and confounds Ecosystems discipline, imports Serious consequences on the environment. Changes in weather patterns Could lead to severe flooding, extreme heat or cold, more frequent droughts. Each of these phenomena could Put at risk the regional food reserves. North east of Iran due to the large area has very varied natural conditions and each of the areas included specific natural features. The extent of the area and factors such as mountains rising, desert areas , stay away from the water zones and different winds lead to variety of weather in each of those area. Based on the results if the man-kendall test and AHP model in north east of Iran, climatic elements with ascending trend (82.25%) much more than climatic elements with descending trend (35.5%) affect on climate change in north east of Iran. Areas that experience most climate changes due to descending elements (number of frost days , average moisture, the number of days with snowfall,24-hour rainfall, annual precipitation) is seen in the South and South east of region. Climatic elements with ascending trend (The average temperature, the minimum temperature, the maximum temperature, hours of sunshine) cover most extent of this region. Only Ghochan and Sabzevar stations demonstrate the least climate changes.Climate change with changing climate patterns and confounds Ecosystems discipline, imports Serious consequences on the environment. Changes in weather patterns Could lead to severe flooding, extreme heat or cold, more frequent droughts. Each of these phenomena could Put at risk the regional food reserves. North east of Iran due to the large area has very varied natural conditions and each of the areas included specific natural features. The extent of the area and factors such as mountains rising, desert areas , stay away from the water zones and different winds lead to variety of weather in each of those area. Based on the results if the man-kendall test and AHP model in north east of Iran, climatic elements with ascending trend (82.25%) much more than climatic elements with descending trend (35.5%) affect on climate change in north east of Iran. Areas that experience most climate changes due to descending elements (number of frost days , average moisture, the number of days with snowfall,24-hour rainfall, annual precipitation) is seen in the South and South east of region. Climatic elements with ascending trend (The average temperature, the minimum temperature, the maximum temperature, hours of sunshine) cover most extent of this region. Only Ghochan and Sabzevar stations demonstrate the least climate changes.https://envs.sbu.ac.ir/article_97488_259552aaa80aa7bae7e86abf6454f7a2.pdfShahid Beheshti UniversityEnvironmental Sciences1735-132413120150321Performance of AERMOD Under Different Building Forms and DimensionsPerformance of AERMOD Under Different Building Forms and Dimensions152497502FALaleh Abbasi ChaleshtoriFaculty of Natural Resource University of YazdFarhad NejadkoorkiDepartment of Environmental Engineering, Faculty of Natural Resources, University of YazdKhosro AshrafiFaculty of Environment, University of TehranJournal Article20151121AERMOD is an advanced model of the dispersion of air pollutants that supports a variety of source types and is appropriate for estimating impacts from short-range transport for distances less than 50 km. The US Environmental Protection Agency (EPA), in conjunction with the American Meteorological Society (AMS), has developed a new air quality dispersion model known as the AMS/EPA Regulatory Model (AERMOD). There is significant evidence on the impacts of buildings on dispersions of pollutants and, among the current air pollution models, AERMOD is that one that takes into account building characteristics. Due to its capabilities, the model has also been suggested by the USEPA. The current research examines the impacts of building characteristics as well as change in the dimensions of industrial structures close to a point source on the model output. Three different shapes (namely cubic, long and wide) were assumed as the building forms. Results showed that while the building dimensions increased the downwind pollution concentration was also increased significantly. Furthermore, buildings with a wide shape had greater impacts on pollution than the other two building forms. In other words, the output model shows greater sensitivity than the width of the building.AERMOD is an advanced model of the dispersion of air pollutants that supports a variety of source types and is appropriate for estimating impacts from short-range transport for distances less than 50 km. The US Environmental Protection Agency (EPA), in conjunction with the American Meteorological Society (AMS), has developed a new air quality dispersion model known as the AMS/EPA Regulatory Model (AERMOD). There is significant evidence on the impacts of buildings on dispersions of pollutants and, among the current air pollution models, AERMOD is that one that takes into account building characteristics. Due to its capabilities, the model has also been suggested by the USEPA. The current research examines the impacts of building characteristics as well as change in the dimensions of industrial structures close to a point source on the model output. Three different shapes (namely cubic, long and wide) were assumed as the building forms. Results showed that while the building dimensions increased the downwind pollution concentration was also increased significantly. Furthermore, buildings with a wide shape had greater impacts on pollution than the other two building forms. In other words, the output model shows greater sensitivity than the width of the building.https://envs.sbu.ac.ir/article_97502_abf451fd5e18d52ef3dbd6e2f51fb25c.pdfShahid Beheshti UniversityEnvironmental Sciences1735-132413120150321253297505FAJournal Article20151121https://envs.sbu.ac.ir/article_97505_486601f851bbfa9027b1f0779ee1d2e1.pdfShahid Beheshti UniversityEnvironmental Sciences1735-132413120150321334297508FAJournal Article20151121https://envs.sbu.ac.ir/article_97508_3e9b9a77372044eb152337f5ff61b7f2.pdfShahid Beheshti UniversityEnvironmental Sciences1735-132413120150321435297511FAJournal Article20151121https://envs.sbu.ac.ir/article_97511_82da89c992d2c0d3b6a844aafd7e5b2c.pdfShahid Beheshti UniversityEnvironmental Sciences1735-132413120150321536697515FAJournal Article20151121https://envs.sbu.ac.ir/article_97515_d3cf43f55cd38699417959af300a445b.pdfShahid Beheshti UniversityEnvironmental Sciences1735-132413120150321677497518FAJournal Article20151121https://envs.sbu.ac.ir/article_97518_23093753cca630d15078fc24c6131a5a.pdfShahid Beheshti UniversityEnvironmental Sciences1735-132413120150321758497521FAJournal Article20151121https://envs.sbu.ac.ir/article_97521_9dde06185e22d52f149099c6cf13dcd7.pdfShahid Beheshti UniversityEnvironmental Sciences1735-132413120150321859497524FAJournal Article20151121https://envs.sbu.ac.ir/article_97524_b00609a7f3d67478600a471a402b36bb.pdfShahid Beheshti UniversityEnvironmental Sciences1735-1324131201503219510497527FAJournal Article20151121https://envs.sbu.ac.ir/article_97527_b14cc95e2ee10d852a4ad5bab900cb65.pdfShahid Beheshti UniversityEnvironmental Sciences1735-13241312015032110511297491FAJournal Article20151121https://envs.sbu.ac.ir/article_97491_ca1e9a00b207723c9ae9b8dbb154630a.pdfShahid Beheshti UniversityEnvironmental Sciences1735-13241312015032111312497494FAJournal Article20151121https://envs.sbu.ac.ir/article_97494_967bdf634535acc5f1802dfbf2a64ffd.pdfShahid Beheshti UniversityEnvironmental Sciences1735-13241312015032112513097498FAJournal Article20151121https://envs.sbu.ac.ir/article_97498_d9612f4a35e493b0dadb43862b8b11e0.pdf