DOI: 10.1016/j.atmosenv.2013.11.004
Scopus记录号: 2-s2.0-84889690508
论文题名: Adaptation of a resistive model to pesticide volatilization from plants at the field scale: Comparison with a dataset
作者: Lichiheb N ; , Personne E ; , Bedos C ; , Barriuso E
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 83 起始页码: 260
结束页码: 268
语种: 英语
英文关键词: Atmospheric pollution
; Emission
; Fungicides
; Leaf penetration
; Photodegradation
; Pollutant exchange
; Wheat
Scopus关键词: Atmospheric temperature
; Fungicides
; Inverse problems
; Neutron emission
; Photodegradation
; Atmospheric pollution
; Climatic variables
; Leaf penetration
; Pesticide emission
; Rate coefficients
; Simulated results
; Surface temperatures
; Wheat
; Computer simulation
; chlorothalonil
; fenpropidine
; atmospheric pollution
; biogenic emission
; data set
; energy balance
; fieldwork
; model validation
; pesticide
; photodegradation
; pollutant transport
; surface temperature
; vapor pressure
; volatilization
; wheat
; adaptation
; air pollution
; air temperature
; article
; energy balance
; photodegradation
; physical chemistry
; plant
; plant leaf
; priority journal
; temperature
; vapor pressure
; volatilization
; wheat
; Triticum aestivum
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: Volatilization from plants is known to greatly contribute to pesticide emission into the atmosphere. Modeling would allow estimating this contribution, but few models are actually available because of our poor understanding of processes occurring at the leaf surface, competing with volatilization, and also because available datasets for validating models are lacking. The SURFATM-Pesticides model was developed to predict pesticide volatilization from plants. It is based on the concept of resistances and takes into account two processes competing with volatilization (leaf penetration and photodegradation). Model is here presented and simulated results are compared with the experimental dataset obtained at the field scale for two fungicides applied on wheat, fenpropidin and chlorothalonil. These fungicides were chosen because they are largely used, as well as because of their differentiated vapor pressures. The model simulates the energy balance and surface temperature which are in good agreement with the experimental data, using the climatic variables as inputs. The model also satisfactorily simulates the volatilization fluxes of chlorothalonil. In fact, by integrating estimated rate coefficients of leaf penetration and photodegradation for chlorothalonil giving in the literature, the volatilization fluxes were estimated to be 24.8ngm-2s-1 compared to 23.6ngm-2s-1 measured by the aerodynamic profile method during the first hours after application. At six days, the cumulated volatilization fluxes were estimated by the model to be 19gha-1 compared to 17.5gha-1 measured by the inverse modeling approach. However, due to the lack of data to estimate processes competing with volatilization for fenpropidin, the volatilization of this compound is still not well modeled yet. Thus the model confirms that processes competing with volatilization represent an important factor affecting pesticide volatilization from plants. © 2013 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81229
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: INRA-AgroParisTech, Environment and Arable Crops Research Unit, F-78850 Thiverval-Grignon, France
Recommended Citation:
Lichiheb N,, Personne E,, Bedos C,et al. Adaptation of a resistive model to pesticide volatilization from plants at the field scale: Comparison with a dataset[J]. Atmospheric Environment,2014-01-01,83