Numerical simulation of extreme dust storms in east of Iran by the WRF-Chem model

被引:20
|
作者
Karegar, Elham [1 ]
Hossein Hamzeh, Nasim [2 ]
Bodagh Jamali, Javad [1 ]
Ranjbar Saadat Abadi, Abbas [2 ]
Moeinaddini, Mazaher [1 ]
Goshtasb, Hamid [1 ]
机构
[1] Univ Environm, Estand Sq, Karaj, Alborz, Iran
[2] Dept Atmospher Sci & Meteorol Res Ctr ASMERC, Tehran, Iran
关键词
Numerical simulation; Sand and dust storms; Sensor MODIS; WRF-Chem; Sistan climate; MINERAL DUST;
D O I
10.1007/s11069-019-03773-3
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Iran, located in the desert belt, is characterized by frequently increasing sand and dust storms, especially in the eastern and southern areas and creating adverse environmental effects. Efficient management of these devastating events requires an understanding of their features. One way to understand the dust phenomenon is to simulate and predict. The general purpose of the article is to simulate severe storms in the southeast of the country (120-day-old winds) due to the weather conditions of the region and the display of their source and range inside Iran. Aim of this study: Weather Research and Forecasting-Chemistry coupled model (WRF-Chem.3.6.1) is used to simulate, forecast, and design an alert system for sand and dust storm events (east of Iran). Dust concentration data were collected by Environmental Protection Organization, wind speed and direction data were gathered from the Meteorological Organization, MODIS images, and HYSPLIT model forecast was also used to investigate the path of storms and more accurately forecast and time alerting. Results showed that the main dust emission source in Sistan is the dry bed of the Hamoon wetland. Also during the storms that investigated in this study, transport of dust clouds were observed in the southern part of Iran up to Oman sea because of converging currents (north-south winds in the eastern part of Iran, especially in spring and summer) that create strong winds in lower levels of the atmosphere. The WRF-Chem model had reasonable estimations related to spatial and temporal scales in the study area. Using the global forecasted data as model input data, it was expected to observe bias in concentration estimation versus reality. The model was run for 10 and 30 km spatial resolutions, and results revealed storm formation in Sistan was affected by local geographical properties especially topography features. Based on the results obtained and the experience gained, it can be concluded that most dust storms in the Sistan region began in the late spring and will continue until early autumn season.
引用
收藏
页码:769 / 796
页数:28
相关论文
共 50 条
  • [21] A study of Himalayan extreme rainfall events using WRF-Chem
    Kedia, Sumita
    Vellore, Ramesh K.
    Islam, Sahidul
    Kaginalkar, Akshara
    METEOROLOGY AND ATMOSPHERIC PHYSICS, 2019, 131 (04) : 1133 - 1143
  • [22] Sensitivity study and comparative evaluation of WRF-Chem over Iran: Available and embedded dust emission schemes
    Najafpour, Nategheh
    Afshin, Hossein
    Firoozabadi, Bahar
    ATMOSPHERIC POLLUTION RESEARCH, 2023, 14 (12)
  • [23] Numerical simulation of the 18 February 2017 frontal dust storm over southwest of Iran using WRF-Chem, satellite imagery, and PM10 concentrations
    Ledari, Dorna Gholamzade
    Hamidi, Mehdi
    Shao, Yaping
    JOURNAL OF ARID ENVIRONMENTS, 2022, 196
  • [24] Simulating the meteorology and PM10 concentrations in Arizona dust storms using the Weather Research and Forecasting model with Chemistry (Wrf-Chem)
    Hyde, Peter
    Mahalov, Alex
    Li, Jialun
    JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 2018, 68 (03) : 177 - 195
  • [25] Modeling Asian Dust Storms Using WRF-Chem During the DRAGON-Asia Field Campaign in April 2012
    Kim, Kyoung-Min
    Kim, Si-Wan
    Choi, Myungje
    Kim, Mijin
    Kim, Jhoon
    Shin, Inchul
    Kim, Jeongeun
    Chung, Chu-Yong
    Yeo, Huidong
    Kim, Sang-Woo
    Joo, Seung Jin
    McKeen, Stuart A.
    Zhang, Li
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2021, 126 (18)
  • [26] WRF-Chem Simulation for Modeling Seasonal Variations and Distributions of Aerosol Pollutants over the Middle East
    Shahid, Muhammad Zeeshaan
    Chishtie, Farrukh
    Bilal, Muhammad
    Shahid, Imran
    REMOTE SENSING, 2021, 13 (11)
  • [27] Regional modeling of dust mass balance and radiative forcing over East Asia using WRF-Chem
    Chen, Siyu
    Zhao, Chun
    Qian, Yun
    Leung, L. Ruby
    Huang, Jianping
    Huang, Zhongwei
    Bi, Jianrong
    Zhang, Wu
    Shi, Jinsen
    Yang, Lei
    Li, Deshuai
    Li, Jinxin
    AEOLIAN RESEARCH, 2014, 15 : 15 - 30
  • [28] Optimization of WRF-Chem model results by XGBoost algorithm
    Li, Jiang-Tao
    An, Xing-Qin
    Li, Qing-Yong
    Yu, Hao-Min
    Wang, Wei
    Zhou, Xin-Yuan
    Wang, Chao
    Cui, Meng
    Zhongguo Huanjing Kexue/China Environmental Science, 2021, 41 (12): : 5457 - 5466
  • [29] WRF-Chem simulation of East Asian air quality: Sensitivity to temporal and vertical emissions distributions
    Wang, Xueyuan
    Liang, Xin-Zhong
    Jiang, Weimei
    Tao, Zhining
    Wang, Julian X. L.
    Liu, Hongnian
    Han, Zhiwei
    Liu, Shuyan
    Zhang, Yuyan
    Grell, Georg A.
    Peckham, Steven E.
    ATMOSPHERIC ENVIRONMENT, 2010, 44 (05) : 660 - 669
  • [30] WRF-chem sensitivity to vertical resolution during a saharan dust event
    Teixeira, J. C.
    Carvalho, A. C.
    Tuccella, Paolo
    Curci, Gabriele
    Rocha, A.
    PHYSICS AND CHEMISTRY OF THE EARTH, 2016, 94 : 188 - 195