干旱区生态环境知识资源中心(Arid): Assessing the dynamics of soil salinity with time-lapse inversion of electromagnetic data guided by hydrological modelling

Arid

DOI	10.5194/hess-25-1509-2021
	Assessing the dynamics of soil salinity with time-lapse inversion of electromagnetic data guided by hydrological modelling
	Farzamian, Mohammad; Autovino, Dario; Basile, Angelo; De Mascellis, Roberto; Dragonetti, Giovanna; Santos, Fernando Monteiro; Binley, Andrew; Coppola, Antonio
通讯作者	Basile, A (corresponding author), CNR, Inst Mediterranean Agr & Forestry Syst, I-80055 Portici, NA, Italy.
来源期刊	HYDROLOGY AND EARTH SYSTEM SCIENCES
ISSN	1027-5606
EISSN	1607-7938
出版年	2021
卷号	25 期号:3 页码:1509-1527
英文摘要	Irrigated agriculture is threatened by soil salinity in numerous arid and semi-arid areas of the world, chiefly caused by the use of highly salinity irrigation water, compounded by excessive evapotranspiration. Given this threat, efficient field assessment methods are needed to monitor the dynamics of soil salinity in salt-affected irrigated lands and evaluate the performance of management strategies. In this study, we report on the results of an irrigation experiment with the main objective of evaluating time-lapse inversion of electromagnetic induction (EMI) data and hydrological modelling in field assessment of soil salinity dynamics. Four experimental plots were established and irrigated 12 times during a 2-month period, with water at four different salinity levels (1, 4, 8 and 12 dS m(-1)) using a drip irrigation system. Time-lapse apparent electrical conductivity (sigma(a)) data were collected four times during the experiment period using the CMD Mini-Explorer. Prior to inversion of time-lapse sigma(a) data, a numerical experiment was performed by 2D simulations of the water and solute infiltration and redistribution process in synthetic transects, generated by using the statistical distribution of the hydraulic properties in the study area. These simulations gave known spatio-temporal distribution of water contents and solute concentrations and thus of bulk electrical conductivity (sigma(b)), which in turn were used to obtain known structures of apparent electrical conductivity, sigma(a). These synthetic distributions were used for a preliminary understanding of how the physical context may influence the EMI-based sigma(a) readings carried out in the monitored transects as well as being used to optimize the smoothing parameter to be used in the inversion of sigma(a) readings. With this prior information at hand, we inverted the time-lapse field sigma(a) data and interpreted the results in terms of concentration distributions over time. The proposed approach, using preliminary hydrological simulations to understand the potential role of the variability of the physical system to be monitored by EMI, may actually allow for a better choice of the inversion parameters and interpretation of EMI readings, thus increasing the potentiality of using the electromagnetic induction technique for rapid and non-invasive investigation of spatio-temporal variability in soil salinity over large areas.
类型	Article
语种	英语
开放获取类型	gold, Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000635420400001
WOS类目	Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/350516
作者单位	[Farzamian, Mohammad] Minist Agr, Inst Nacl Invest Agr & Vet, P-2780157 Oeiras, Portugal; [Farzamian, Mohammad; Santos, Fernando Monteiro] Univ Lisbon, Inst Dom Luiz, Fac Ciencias, P-1749016 Lisbon, Portugal; [Autovino, Dario; Basile, Angelo; De Mascellis, Roberto] CNR, Inst Mediterranean Agr & Forestry Syst, I-80055 Portici, NA, Italy; [Dragonetti, Giovanna] Mediterranean Agron Inst Bari, I-70010 Valenzano, BA, Italy; [Binley, Andrew] Univ Lancaster, Lancaster Environm Ctr, Lancaster LA1 4YQ, England; [Coppola, Antonio] Univ Basilicata, Sch Agr Forestry Food & Environm Sci, I-85100 Potenza, Italy
推荐引用方式 GB/T 7714	Farzamian, Mohammad,Autovino, Dario,Basile, Angelo,et al. Assessing the dynamics of soil salinity with time-lapse inversion of electromagnetic data guided by hydrological modelling[J],2021,25(3):1509-1527.
APA	Farzamian, Mohammad.,Autovino, Dario.,Basile, Angelo.,De Mascellis, Roberto.,Dragonetti, Giovanna.,...&Coppola, Antonio.(2021).Assessing the dynamics of soil salinity with time-lapse inversion of electromagnetic data guided by hydrological modelling.HYDROLOGY AND EARTH SYSTEM SCIENCES,25(3),1509-1527.
MLA	Farzamian, Mohammad,et al."Assessing the dynamics of soil salinity with time-lapse inversion of electromagnetic data guided by hydrological modelling".HYDROLOGY AND EARTH SYSTEM SCIENCES 25.3(2021):1509-1527.