Model to predict IR radiative temperature of the ground with different surface mulch

Jianqi Zhang; Changchun Zhu; Xiaoping Fang; Weidong Yang; Xiaopeng Shao

doi:10.1117/12.323637

25 September 1998 Model to predict IR radiative temperature of the ground with different surface mulch

Jianqi Zhang, Changchun Zhu, Xiaoping Fang, Weidong Yang, Xiaopeng Shao

Proceedings Volume 3545, International Symposium on Multispectral Image Processing (ISMIP'98); (1998) https://doi.org/10.1117/12.323637
Event: International Symposium on Multispectral Image Processing, 1998, Wuhan, China

Abstract

A new numerical model to predict the IR radiative temperature of the ground with different mulch is presented. Based on the energy and water balance principle, the mulched and unmulched ground surface boundary conditions for both heat and water flow are described. The temperature of mulched and unmulched soil region and mulch surface are determined to predict the surface radiative temperature of the ground background. The inputs required for the numerical simulations are weather data, soil thermal and hydraulic properties, and mulch data. Numerical experiments are performed to examine the effect of soil type, mulch kind, and weather conditions on the spatial variations in radiative temperature. 24-hours continuous simulations for each combination of different soil type, mulch kind and mulch width show that the soil type, mulch kind and width, and weather conditions can evidently affect the radiative feature of the ground surface.

Citation Download Citation

Jianqi Zhang, Changchun Zhu, Xiaoping Fang, Weidong Yang, and Xiaopeng Shao "Model to predict IR radiative temperature of the ground with different surface mulch", Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); https://doi.org/10.1117/12.323637

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available