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
  • [41] Sensitivities of WRF-Chem to dust emission schemes and land surface properties in simulating dust cycles during springtime over East Asia
    Su, Lin
    Fung, Jimmy C. H.
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2015, 120 (21) : 11215 - 11230
  • [42] Sensitivity of WRF-chem predictions to dust source function specification in West Asia
    Nabavi, Seyed Omid
    Haimberger, Leopold
    Samimi, Cyrus
    AEOLIAN RESEARCH, 2017, 24 : 115 - 131
  • [43] Application of the WRF-Chem Model for Air Pollution Forecasting in Poland
    Werner, Malgorzata
    Kryza, Maciej
    Skjoth, Carsten Ambelas
    Ojrzynska, Hanna
    Walaszek, Kinga
    Dore, Anthony J.
    AIR POLLUTION MODELING AND ITS APPLICATION XXIV, 2016, : 351 - 356
  • [44] Investigation of the atmospheric mesoscale circulation patterns and their simulation with WRF-CHEM model of the dust storm occurrence over the southern coast of the Caspian Sea
    Sammaneh Negah
    Amir-Hussain Mesakatee
    Sohrab Hajjam
    Ali Kamali
    Arabian Journal of Geosciences, 2016, 9
  • [45] WRF-Chem simulation of aerosol seasonal variability in the San Joaquin Valley
    Wu, Longtao
    Su, Hui
    Kalashnikova, Olga V.
    Jiang, Jonathan H.
    Zhao, Chun
    Garay, Michael J.
    Campbell, James R.
    Yu, Nanpeng
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2017, 17 (12) : 7291 - 7309
  • [46] Investigation of the atmospheric mesoscale circulation patterns and their simulation with WRF-CHEM model of the dust storm occurrence over the southern coast of the Caspian Sea
    Negah, Sammaneh
    Mesakatee, Amir-Hussain
    Hajjam, Sohrab
    Kamali, Ali
    ARABIAN JOURNAL OF GEOSCIENCES, 2016, 9 (15)
  • [47] Simulation and evaluation of dust emissions with WRF-Chem (v3.7.1) and its relationship to the changing climate over East Asia from 1980 to 2015
    Song, Hongquan
    Wang, Kai
    Zhang, Yang
    Hong, Chaopeng
    Zhou, Shenghui
    ATMOSPHERIC ENVIRONMENT, 2017, 167 : 511 - 522
  • [48] Simulation of forest fires smoke using WRF-Chem model with FINN fire emissions in Sumatera
    Nuryanto, Danang Eko
    1ST INTERNATIONAL SYMPOSIUM ON LAPAN-IPB SATELLITE (LISAT) FOR FOOD SECURITY AND ENVIRONMENTAL MONITORING, 2015, 24 : 65 - 69
  • [49] Dust modeling over Saudi Arabia using WRF-Chem: March 2009 severe dust case
    Zhang, Yongxin
    Liu, Yubao
    Kucera, Paul A.
    Alharbi, Badr H.
    Pan, Linlin
    Ghulam, Ayman
    ATMOSPHERIC ENVIRONMENT, 2015, 119 : 118 - 130
  • [50] WRF-Chem simulations of aerosols and anthropogenic aerosol radiative forcing in East Asia
    Gao, Yi
    Zhao, Chun
    Liu, Xiaohong
    Zhang, Meigen
    Leung, L. Ruby
    ATMOSPHERIC ENVIRONMENT, 2014, 92 : 250 - 266