Time Series Modeling for Predicting Spatially Variable Infiltration-Reference-Cited by-同舟云学术

Time Series Modeling for Predicting Spatially Variable Infiltration

Author:

Schwankl L. J.¹²³,Raghuwanshi N. S.¹²³,Wallender W. W.¹²³

Affiliation:

1. Extension Irrig. Specialist, Cooperative Extension and Dept. of Land, Air and Water Resour., Univ. of California, Davis, CA 95616.

2. Asst. Prof., Dept. of Agric. and Food Engrg., Indian Inst. of Technol., Kharagpur, WB 721 302, India.

3. Prof., Dept. of Biol. and Agric. Engrg. and Dept. of Land, Air and Water Resour., Univ. of California, Davis, CA.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Agricultural and Biological Sciences (miscellaneous),Water Science and Technology,Civil and Structural Engineering

Link

Reference22 articles.

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