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Journals
Ecological Chemistry and Engineering S
Volume 24 (2017): Issue 4 (December 2017)
Open Access
Estimating Root Zone Moisture from Surface Soil Using Limited Data
Wen-Zhi Zeng
Wen-Zhi Zeng
State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University
Wuhan, China
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Zeng, Wen-Zhi
,
Guo-Qing Lei
Guo-Qing Lei
State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University
Wuhan, China
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Lei, Guo-Qing
,
Hong-Ya Zhang
Hong-Ya Zhang
School of Remote Sensing and Information Engineering, Wuhan University
Wuhan, China
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Zhang, Hong-Ya
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Ming-Hai Hong
Ming-Hai Hong
State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University
Wuhan, China
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Hong, Ming-Hai
,
Chi Xu
Chi Xu
Changjiang Institute of Survey, Planning, Design and Research
Wuhan, China
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Xu, Chi
,
Jing-Wei Wu
Jing-Wei Wu
State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University
Wuhan, China
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Wu, Jing-Wei
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Jie-Sheng Huang
Jie-Sheng Huang
State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University
Wuhan, China
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Huang, Jie-Sheng
Jan 19, 2018
Ecological Chemistry and Engineering S
Volume 24 (2017): Issue 4 (December 2017)
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Published Online:
Jan 19, 2018
Page range:
501 - 516
DOI:
https://doi.org/10.1515/eces-2017-0033
Keywords
Monte Carlo simulations
,
HYDRUS
,
root zone
,
soil moisture
,
kriging
,
co-kriging
© 2017 Wen-Zhi Zeng et al., published by De Gruyter Open
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
