干旱区生态环境知识资源中心(Arid): Comparison of IDW, cokriging and ARMA for predicting spatiotemporal variability of soil salinity in a gravel-sand mulched jujube orchard

Arid

DOI	10.1007/s10661-019-7499-8
	Comparison of IDW, cokriging and ARMA for predicting spatiotemporal variability of soil salinity in a gravel-sand mulched jujube orchard
	Zhao, Wenju 1; Cao, Taohong 1; Li, Zongli 2; Sheng, Jie 1
通讯作者	Zhao, Wenju
来源期刊	ENVIRONMENTAL MONITORING AND ASSESSMENT
ISSN	0167-6369
EISSN	1573-2959
出版年	2019
卷号	191 期号:6
英文摘要	Information about the spatiotemporal variability of soil salinity is important for managing salinization in gravel-sand mulched fields. We used inverse distance weighting (IDW) and cokriging to model the spatial variability of soil salinity from 2013 to 2016 and used an autoregressive moving-average (ARMA) model time series to analyze the temporal variability. The objectives of this paper are (a) to compare IDW and cokriging for predicting salinity in deep soil layers from surface data, thus finding a more appropriate method to model the spatial variability of soil salinity, and, using ARMA time series, (b) to identify one or a few sampling points, where soil salt content is the most temporally stable, to increase sampling efficiency or decrease cost and to estimate the overall soil salt content of a field. The IDW interpolation was more accurate than cokriging when using surface salt content to estimate the content in deep layers; so, we used IDW to interpolate the data and draw spatial distribution maps of salt content. Salinity in the 0-10cm layer gradually decreased with the amount of gravel-sand mulching, from 1.02 to 0.7g/kg over four years, and increased with depth. ARMA was accurate when using sample dates to predict soil salinity in the time series, and the model was more stable. The stability of the salt spatial patterns over time and along the soil profile allowed us to identify a location representative of the field-mean salt content, with mean relative error ranging between 0.56 and 2.19%. The monitoring of soil salt from a few observations is thus a valuable tool for practitioners and will aid the management of soil salt in gravel-sand-mulched fields in arid regions, with a range of potential applications beyond the framework of monitoring salinity.
英文关键词	Spatial variability IDW Cokriging Temporal variability ARMA time series
类型	Article
语种	英语
国家	Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000468157900004
WOS关键词	SEMIARID LOESS REGION ; SPATIAL VARIABILITY ; TEMPORAL STABILITY ; ELECTRICAL-CONDUCTIVITY ; RAINFALL INTERCEPTION ; WATER ; MOISTURE ; SURFACE ; INTERPOLATION ; VEGETATION
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/215474
作者单位	1.Lanzhou Univ Technol, Coll Energy & Power Engn, Lanzhou 730050, Gansu, Peoples R China; 2.Minist Water Resources, Gen Inst Water Resources & Hydropower Planning &, Beijing 100120, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Wenju,Cao, Taohong,Li, Zongli,et al. Comparison of IDW, cokriging and ARMA for predicting spatiotemporal variability of soil salinity in a gravel-sand mulched jujube orchard[J],2019,191(6).
APA	Zhao, Wenju,Cao, Taohong,Li, Zongli,&Sheng, Jie.(2019).Comparison of IDW, cokriging and ARMA for predicting spatiotemporal variability of soil salinity in a gravel-sand mulched jujube orchard.ENVIRONMENTAL MONITORING AND ASSESSMENT,191(6).
MLA	Zhao, Wenju,et al."Comparison of IDW, cokriging and ARMA for predicting spatiotemporal variability of soil salinity in a gravel-sand mulched jujube orchard".ENVIRONMENTAL MONITORING AND ASSESSMENT 191.6(2019).