Soil water content;
Cosmic rays;
Landscape scale;
Downscaling;
IRRIGATION;
D O I:
10.1016/j.jhydrol.2016.10.026
中图分类号:
TU [建筑科学];
学科分类号:
0813 ;
摘要:
Soil water content (SWC) measurements are important for numerous applications including climate and weather prediction, agriculture and irrigation activities, and monitoring the progress of reclamation on land disturbed by mining or other industrial activities. We assessed the SWC measurement accuracy of a cosmic-ray soil moisture probe (CRP) and explored the possibility of downscaling the CRP measurement to the plot scale. The experiments were conducted at a highly heterogeneous reclamation site in the Alberta Oil Sands near Fort McMurray, Alberta, Canada. The study site is unique because it consists of 36 one hectare plots composed of 12 different reclamation covers made up of various layering schemes of peat and coarse-textured soil. The one-hectare plots also contain different vegetation (species and density). A CRP was installed in the center of the reclamation study site and calibrated using soil core samples. CRP-measured SWC was compared to weighted average SWC measured from soil cores and a network of soil moisture probes within the CRP footprint over two summers. The CRP responded clearly to precipitation events with peaks in the measured SWC and the CRP estimates of SWC were very close to SWC estimated with soil cores and in-situ soil moisture probes with a RMSE of 0.027 cm(3) cm(-3) and 0.027 cm(3) cm(-3), respectively, over the two summers. We also attempted to downscale the CRP measurements from the 2014 season to the plot scale using HYDRUS-1D modeling and the known soil texture in order to unweight the CRP-measured SWC. The modeled SWC (optimized with the CRP measurements) within the CRP footprint was relatively close to the CRP-measured SWC with a RMSE of 0.047 cm(3) cm(-3). Overall, the CRP provided accurate average SWC measurements at the reclamation site despite the soil and vegetation heterogeneity. (C) 2016 Elsevier B.V. All rights reserved.
机构:
Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
Beijing Key Lab Environm Remote Sensing & City Di, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
Zhu, Zhongli
Tan, Lei
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
Beijing Key Lab Environm Remote Sensing & City Di, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
Tan, Lei
Gao, Shengguo
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h-index: 0
机构:
Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
Beijing Key Lab Environm Remote Sensing & City Di, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
Gao, Shengguo
Jiao, Qishun
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h-index: 0
机构:
Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
Beijing Key Lab Environm Remote Sensing & City Di, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
机构:
Sungkyunkwan Univ, Grad Sch Water Resources, Dept Water Resources, Environm & Remote Sensing Lab, Suwon 440746, South KoreaSungkyunkwan Univ, Grad Sch Water Resources, Dept Water Resources, Environm & Remote Sensing Lab, Suwon 440746, South Korea
Nguyen, Hoang Hai
Kim, Hyunglok
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机构:
Univ South Carolina, Sch Earth Ocean & Environm, Columbia, SC 29208 USASungkyunkwan Univ, Grad Sch Water Resources, Dept Water Resources, Environm & Remote Sensing Lab, Suwon 440746, South Korea
Kim, Hyunglok
Choi, Minha
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h-index: 0
机构:
Sungkyunkwan Univ, Grad Sch Water Resources, Dept Water Resources, Environm & Remote Sensing Lab, Suwon 440746, South KoreaSungkyunkwan Univ, Grad Sch Water Resources, Dept Water Resources, Environm & Remote Sensing Lab, Suwon 440746, South Korea
机构:
School of Nuclear Science and Technology, Lanzhou University, LanzhouSchool of Nuclear Science and Technology, Lanzhou University, Lanzhou
Jiang S.
Liu G.
论文数: 0引用数: 0
h-index: 0
机构:
School of Nuclear Science and Technology, Lanzhou University, LanzhouSchool of Nuclear Science and Technology, Lanzhou University, Lanzhou
Liu G.
Liu J.
论文数: 0引用数: 0
h-index: 0
机构:
School of Nuclear Science and Technology, Lanzhou University, LanzhouSchool of Nuclear Science and Technology, Lanzhou University, Lanzhou
Liu J.
Li X.
论文数: 0引用数: 0
h-index: 0
机构:
Institute of Soil Science, Chinese Academy of Sciences, NanjingSchool of Nuclear Science and Technology, Lanzhou University, Lanzhou
Li X.
Qian X.
论文数: 0引用数: 0
h-index: 0
机构:
School of Nuclear Science and Technology, Lanzhou University, LanzhouSchool of Nuclear Science and Technology, Lanzhou University, Lanzhou
Qian X.
Fu Z.
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h-index: 0
机构:
School of Nuclear Science and Technology, Lanzhou University, LanzhouSchool of Nuclear Science and Technology, Lanzhou University, Lanzhou
Fu Z.
Wang B.
论文数: 0引用数: 0
h-index: 0
机构:
Nuclear and Radiation Safety Centre, Ministry of Ecology and Environment, BeijingSchool of Nuclear Science and Technology, Lanzhou University, Lanzhou
Wang B.
Liu Z.
论文数: 0引用数: 0
h-index: 0
机构:
School of Nuclear Science and Technology, Lanzhou University, LanzhouSchool of Nuclear Science and Technology, Lanzhou University, Lanzhou
Liu Z.
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering,
2022,
38
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