Volume 5, Issue 3 (Summer 2017)                   Iran J Health Sci 2017, 5(3): 1-16 | Back to browse issues page


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Roshan G, Nematchoua M K, Mohammad Nejad V, Yousefi R. Regional Simulation Model of the Meteorological Effects of Maharlu Lake on the Human Climate Health of Shiraz in Iran. Iran J Health Sci. 2017; 5 (3) :1-16
URL: http://jhs.mazums.ac.ir/article-1-497-en.html

Assistance professor in climatology, Department of Geography, Golestan University, Shahid Beheshti, Gorgan, Iran
Abstract:   (791 Views)
Background and purpose: Human health is affected by a variety of human and natural phenomena that surround the environment. Atmospheric pollutants and thermal comfort conditions concern the quality of surrounding air. Given the influential role of lakes on the climatic conditions of their surrounding environment, the effect of different scenarios of Maharlu Lake in the southeastern part of Shiraz on the changes of thermal comfort conditions was modeled.
Materials and Methods:  In this study, cooling power index and temperature humidity index were used to explore climate comfort conditions according to the long-term observational data from 1960 to 2010.
Results: It was found that temperature humidity index has a declining trend in most months of the year. Maximum decreasing changes were observed in November and May with means of −0.31 and −0.29, respectively. However, the maximum of decade and significant changes of cooling power index belonged to April and November with means of 1.36 and 1.22, respectively.
Conclusion:  Low relative humidity was seen in all the seasons; maximum decrease was observed during summer and in August with 11% decrease. Also, the dried lake outputs showed that the temperature during hot seasons increased, and the temperature during cold seasons decreased.
Full-Text [PDF 1470 kb]   (226 Downloads)    
Type of Study: Original Article | Subject: Environmental Health
Received: 2017/08/13 | Accepted: 2017/08/13 | Published: 2017/08/13

References
1. Roshan GhR, Orosa JA, Nasrabadi T. Simulation of climate change impact on energy consumption in buildings. case study of Iran. Energy Policy. 2012; 49:731–739. doi.org/ 10.1016/j.enpol.2012.07.020 [DOI:10.1016/j.enpol.2012.07.020]
2. Roshan Gh, Ghanghermeh A, Orosa JA. Thermal comfort and forecast of energy consumption in Northwest Iran. Arabian Journal of Geosciences. 2013; 7(9): 3657–3674 .doi:10.1007/s12517-013-0973-7. [DOI:10.1007/s12517-013-0973-7]
3. Akbarian SR, Ronizi Gh, Roshan R, Negahban S. Assessments of Tourism Climate Opportunities and Threats for Villages Located in the Northern Coasts of Iran. International Journal of Environmental Research. 2016; 10(4):601-612.
4. Roshan GhR, Ghanghermeh A, Attia S. Determining new threshold temperatures for cooling and heating degree day index of different climatic zones of Iran. Renew Energy. 2017; 101:156–167. DOI: 10.1016/j . renene.2016.08.053
5. Roshan Gh.R, Farrokhzad M, Attia S. Defining thermal comfort boundaries for heating and cooling demand estimation in Iran's urban settlements. Building and Environment. 2017; 121: 168e189. Doi.org/10. 1016/j. buildenv.2017.05.023.
6. Basarin B, Lukić T, Matzarakis A. Quantification and assessment of heat and cold waves in Novi Sad, Northern Serbia. International Journal of Biometeorol. 2015; doi: 10.1007/s00484-015-1012-z. [DOI:10.1007/s00484-015-1012-z]
7. Zaninović K, Matzarakis A. Impact of heat waves on mortality in Croatia. International Journal of Biometeorol , 2014; 58:1135–1145. doi:10.1007/s00484-013- 0706-3.
8. Unkašević M, Tošić I. Seasonal analysis of cold and heat waves in Serbia during the period 1949–2012. Theoretical and Applied Climatology. 2015; 120(1): 29-40.doi: 10. 1007/s00704-014-1154-7.
9. Jugnclaus JH, Botzet M, Haak H, Keenlyside N, Luo J-J, Latif M, Marotzke J, Mikolajewics U, Roeckner E. Ocean circulation and tropical variability in the AOGCM ECHAM5/MPI-OM. Journal of Climate. 2005; 19: 3952-3972. doi.org/10.1175/JCLI3827.1 [DOI:10.1175/JCLI3827.1]
10. Long Z, Perrie W, Gyakum J, Caya D, Laprise R. Northern Lake Impacts on Local Seasonal Climate. Journal of Hydrometeorology. 2007; 8:881–896. doi:http://dx.doi.org/10.1175/JHM591.1. [DOI:10.1175/JHM591.1]
11. New M, Lister D, Hulme M , Makin I. A high-resolution data set of surface climate over global land areas. Climate Research. 2002; 21:1-25. doi:10.3354/cr021001 [DOI:10.3354/cr021001]
12. Pozzer A, ockel P, Kern B, Haak H. The Atmosphere-Ocean General Circulation Model EMAC-MPIOM, Geoscientific Model Development. 2011; 4: 771–784. doi: 10. 5194/gmd-4-771-2011.
13. Darmenova K, Sokolik I N. Assessing uncertainties in dust emission in the Aral Sea region caused by meteorological fields predicted with a mesoscale model. Global and Planetary Change. 2006; 56. 297-310. doi.org/10.1016/j.gloplacha.2006.07.024. [DOI:10.1016/j.gloplacha.2006.07.024]
14. Sills D, Brook J, Levy I, Makar P, Zhang J. Lake breezes in the southern Great Lakes region and their influence during BAQS-Met 2007, Atmospheric Chemistry and Physics. 2011; 11: 7955–7973. doi:10.5194/acp-11-7955-2011 [DOI:10.5194/acp-11-7955-2011]
15. Kardan R, Azizi Q, Zavar R, Muhammadi H. Modeling the Impact of Lakes on Adjacent Areas, Case Study:Watershed Climate Modeling of Jazmoryan by Creating an Artificial Lake, Iran-Watershed Management Science & Engineering. 2009; 3: 15 -22.
16. Shamsipour A, Reisee R, Zare S, & Mohammadi A. Climate Simulation of the Effects of Hamoon Pond on Adjacent Areas, Journal of Environment. 2012; 111: 53-117.
17. Azizi Q, Masoumpoor J, Khoush-Akhlaq F, Ranjbar A, & Zavar R. Numerical Simulation of Sea Breeze on the Southern Shores of Caspian Sea on the basis of Climate Characteristics, Journal of Climatology. 2010; 1(2):21-38.
18. Hurley P. The air pollution model (TAPM) Version 4. User manual. CSIRO Atmospheric Research Internal paper. 2008; 31.
19. Zawar-Reza P, Kingham S, Pearce J. Evaluation of a year-long dispersion modeling of PM10 using the mesoscale model TAPM for Christchurch, New Zealand. Science of the Total Environment . 2005; 349:249–259. DOI:10.1016/j.scitotenv.2005.01.037 [DOI:10.1016/j.scitotenv.2005.01.037]
20. Zawar-Reza P, Titov1 M, Azizi G, Bidokhti A, Soltanzadeh I. Long term simulation of mesoscale floe and air pollution dispersion over Tehran, part 1: low-level flow features. Conference on urban air quality. 2007; 7–10.
21. Luhar AK, Hurley PJ. Application of a prognostic model TAPM to sea-breeze flows, surface concentrations, and fumigating plumes. Environmental Modelling & Software. 2004; 19(6):591–601. doi.org/ 10.1016/j. envsoft. 2003.08.011
22. Roshan Gh.R, Masoompour Samakosh J, Jose´ A. Orosa. The impacts of drying of Lake Urmia on changes of degree dayindex of the surrounding cities by m eteorological modeling, Environmental Earth Sciences . 2016;75:1387. DOI: 10.1007/s12665-016-6200-6 [DOI:10.1007/s12665-016-6200-6]
23. Abdel-Ghany AM, Al-Helal I M, Shady MR. Human thermal comfort and heat stress in an outdoor urban arid environment a case study. Advances in Meteorology. 2013; 28:1-7 doi.org/10.1155/2013/693541. [DOI:10.1155/2013/693541]

Add your comments about this article : Your username or Email:
Write the security code in the box

Send email to the article author


© 2015 All Rights Reserved | Iranian Journal of Health Sciences

Designed & Developed by : Yektaweb