Mohammad Miri, Sara Jamshidi, Zahra Derakhshan, Abdolmajid Gholizadeh, Hosein Karimi, Shabnam Amanalikhani, Seyed Yaser Hashemi,
Volume 5, Issue 1 (2-2016)
Abstract
Introduction: The aim of this study was to spatial analysis of PM10 concentrations in the ambient air of Yazd in two seasons, and the zoning by using Kriging interpolation method. Finally, different factors affecting the concentrations of PM10 are marked and standards have been investigated
Material and methods: The measurement of PM10 particulates was performed by the monitoring device HAZ-DUST EPAM 5000. 13 sampling stations were identified in various areas of the city in order to take samples of particulate matter PM10 in winter and spring 2013. Eventually Arc GIS software and kriging interpolation method and spatial autocorrelation were used to PM10 spatial distribution.
Results: The seasonal spring average for PM10 (155μg/m3) was more than winter (27.87μg/m3). At 11 stations from 13 stations PM10 concentrations were higher than the WHO standards in winter. Seasonal average of PM10 concentrations in spring were exceeding of WHO standards in all stations. Particulate matter levels were higher in High-traffic and old areas than the other regions. RMSE index was 45.493 and 56.525 for winter and spring, respectively.
Conclusion: PM10 concentration had the random spatial pattern in two seasons. This study revealed traffic and historical places affecting the concentration of PM10.
Roohollah Askari , Milad Shafiee , Zabihollah Charrahi, Seyed Ali Almodarresi , Seyed Mohammad Afrazandeh ,
Volume 9, Issue 4 (12-2020)
Abstract
Introduction: proper geographical access to hospital medical facilities will increase people’s visits to receive non-emergency services and no delay in providing emergency services. This research aimed to determine the level of access to hospital medical facilities with Geographical Information System in Yazd in 2019.
Methods: This research is descriptive and applied. The required data for analyzing access included the information related to all existing hospitals, demographic data, and the layer of Yazd’s population blocks. Data analysis was carried out with GIS10.3 software.
Results: Yazd city has 11 hospitals and 1915 active beds. The number of hospitals was proportional to the total population, but there was a shortage of 147 active beds. The per capita hospital space was 0.40 square meters, which is more than the standard (0.37 m2). The distribution of hospitals and beds in different regions of Yazd was inequitable. The population with high or desirable access (the population within a 1500-meter radius of the hospitals) to the hospitals with emergency, internal and surgery, pediatric, and gynecology units made up 54.12, 41.92, 44.44, and 48.34 percent of the Yazd’s population, respectively. Also, the population with limited access (the population out of a 3000-meter radius of hospitals) to the hospitals with emergency, internal and surgery, pediatric, and gynecology units made up 15.40, 31.72, 21.78, and 18.89 percent of the Yazd’s population, respectively.
Conclusion: Regarding the obtained results, it is concluded that there is no shortage of hospitals and hospital space in Yazd, and the number of beds is not way below the international standard. However, locating the hospitals is not so that a large proportion of the population is placed within the radius of high or desirable access to hospitals.
