Entropy theory for movement of moisture in soils-Reference-Cited by-同舟云学术

Entropy theory for movement of moisture in soils

Published:2010-03 Issue:3 Volume:46 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Singh Vijay P.¹

Affiliation:

1. Department of Biological and Agricultural Engineering and Department of Civil and Environmental Engineering; Texas A&M University; College Station Texas USA

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1029/2009WR008288/fullpdf

Reference45 articles.

1. Necessity of q-expectation value in nonextensive statistical mechanics;Abe;Phys. Rev. E,2005

2. Soil moisture profile development from surface observations by principle of maximum entropy;Al-Hamdan;J. Hydrol. Eng.,2010

3. PDF of velocity fluctuation in turbulence by a statistics based on generalized entropy;Arimitsu;Physica A,2002

4. Analysis of velocity derivatives in turbulence based on generalized statistics;Arimitsu;Europhys. Lett.,2002

5. Estimating profile water storage from surface zone soil moisture measurements under bare field conditions;Arya;Water Resour. Res.,1983

Cited by 49 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Assessment of long-term multisource surface and subsurface soil moisture products and estimate methods on the Tibetan Plateau;Journal of Hydrology;2024-08

2. Application of the Kapur entropy for two-dimensional velocity distribution;Stochastic Environmental Research and Risk Assessment;2023-05-13

3. Application of the fractional entropy for one-dimensional velocity distribution with dip-phenomenon in open-channel turbulent flows;Stochastic Environmental Research and Risk Assessment;2022-04-06

4. Entropy frameworks for urban heat storage can support targeted adaptation strategies;Urban Climate;2022-03

5. Formulation of Shannon entropy model averaging for groundwater level prediction using artificial intelligence models;International Journal of Environmental Science and Technology;2021-11-23