Antecedent Soil Moisture Conditions Influenced Vertical Dust Flux: A Case Study in Iran Using WRF-Chem Model

被引:6
作者
Sardoo, Farshad Soleimani [1 ]
Mesbahzadeh, Tayyebeh [2 ]
Salajeghe, Ali [2 ]
Zehtabian, Gholamreza [2 ]
Ranjbar, Abbas [3 ]
Miglietta, Mario Marcello [4 ]
Krakauer, Nir [5 ]
机构
[1] Univ Jiroft, Fac Nat Resources, Dept Ecol Engn, Kerman 7616914111, Iran
[2] Univ Tehran, Fac Nat Resources, Dept Reclamat Dry & Mt Reg, Tehran 1417935840, Iran
[3] Atmospher Sci & Meteorol Res Ctr, Tehran 1417935840, Iran
[4] Natl Res Council Italy Inst Atmospher Sci & Clima, Corso Stati Uniti 4, I-35127 Padua, Italy
[5] CUNY City Coll, Dept Civil Engn, New York, NY 10031 USA
关键词
dust emission flux; WRF-Chem; GOCART wind erosion scheme; soil moisture; GLDAS; exponential function; THRESHOLD FRICTION VELOCITY; SANDY LAND AREA; MINERAL DUST; WIND EROSION; PM10; CONCENTRATIONS; EMISSION; CYCLE; PARAMETERIZATION; TRANSPORT; OUTBREAKS;
D O I
10.3390/land11060819
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Soil moisture is one of the most important parameters affecting dust emission flux. This study was conducted to investigate the effects of soil moisture on vertical dust flux in the central plateau region of Iran. In this study, the WRF-Chem (Weather Research and Forecast with Chemistry) model, with the GOCART (Global Ozone Chemistry Aerosol Radiation and Transport) scheme, was used to estimate the dust emission flux during a major storm from 19 to 21 July 2015, and to discriminate between dust sources. The results showed that the Kyrgyz deserts in Turkmenistan, the Arabian deserts in Saudi Arabia, the deserts of Iraq, and the Helmand region in Afghanistan are sources of foreign dust. Additionally, the central desert plain was identified as an internal dust source, where the dust level reached 7000 mu g m(-2) s(-1). The results of WRF-Chem simulation were verified with reanalysis data from MERRA2 and AERONET data from Natanz station, which showed good agreement with the simulation. Based on the GLDAS reanalysis, soil moisture content varied between 2.6% and 34%. Linear and nonlinear regression of vertical dust flux values and soil moisture showed nonlinear behavior following the exponential function, with a correlation coefficient of 0.8 and a strong negative association between soil moisture and vertical dust flux.
引用
收藏
页数:16
相关论文
共 58 条
[1]   Modeling mineral aerosol production by wind erosion: Emission intensities and aerosol size distributions in source areas [J].
Alfaro, SC ;
Gomes, L .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2001, 106 (D16) :18075-18084
[2]  
[Anonymous], 1941, GEOGR J, V98, P109
[3]  
Azadi S., 2015, Journal of Science and Technology of Agriculture and Natural Resources, V19, P305
[4]   Desert dust contribution to PM10 loads in Italy: Methods and recommendations addressing the relevant European Commission Guidelines in support to the Air Quality Directive 2008/50 [J].
Barnaba, Francesca ;
Bolignano, Andrea ;
Di Liberto, Luca ;
Morelli, Matteo ;
Lucarelli, Franco ;
Nava, Silvia ;
Perrino, Cinzia ;
Canepari, Silvia ;
Basart, Sara ;
Costabile, Francesca ;
Dionisi, Davide ;
Ciampichetti, Spartaco ;
Sozzi, Roberto ;
Gobbi, Gian Paolo .
ATMOSPHERIC ENVIRONMENT, 2017, 161 :288-305
[5]   Vulnerability of desert biological soil crusts to wind erosion: the influences of crust development, soil texture, and disturbance [J].
Belnap, J ;
Gillette, DA .
JOURNAL OF ARID ENVIRONMENTS, 1998, 39 (02) :133-142
[6]   Quantifying the Contribution of Long-Range Saharan Dust Transport on Particulate Matter Concentrations in Houston, Texas, Using Detailed Elemental Analysis [J].
Bozlaker, Ayse ;
Prospero, Joseph M. ;
Fraser, Matthew P. ;
Chellam, Shankararaman .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2013, 47 (18) :10179-10187
[7]   Dust modeling over East Asia during the summer of 2010 using the WRF-Chem model [J].
Chen, Siyu ;
Yuan, Tiangang ;
Zhang, Xiaorui ;
Zhang, Guolong ;
Feng, Taichen ;
Zhao, Dan ;
Zang, Zhou ;
Liao, Shujie ;
Ma, Xiaojun ;
Jiang, Nanxuan ;
Zhang, Jie ;
Yang, Fan ;
Lu, Hui .
JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER, 2018, 213 :1-12
[8]   Atmospheric sulfur cycle simulated in the global model GOCART: Comparison with field observations and regional budgets [J].
Chin, M ;
Savoie, DL ;
Huebert, BJ ;
Bandy, AR ;
Thornton, DC ;
Bates, TS ;
Quinn, PK ;
Saltzman, ES ;
De Bruyn, WJ .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2000, 105 (D20) :24689-24712
[9]   A parameterisation for the threshold shear velocity to initiate deflation of dry and wet sediment [J].
Cornelis, WM ;
Gabriels, D ;
Hartmann, R .
GEOMORPHOLOGY, 2004, 59 (1-4) :43-51
[10]   Water balance complexities in ephemeral catchments with different land uses: Insights from monitoring and distributed hydrologic modeling [J].
Dean, J. F. ;
Camporese, M. ;
Webb, J. A. ;
Grover, S. P. ;
Dresel, P. E. ;
Daly, E. .
WATER RESOURCES RESEARCH, 2016, 52 (06) :4713-4729