Coupled impact of spatial variability of infiltration and microtopography on basin irrigation performances

Coupled impact of spatial variability of infiltration and microtopography on basin irrigation... Soil surface elevation and infiltration are two key variables that affect basin irrigation performances. A number of sets of spatially variable surface elevation and infiltration parameters were generated using stochastic modeling, and a 2D basin irrigation model was used to simulate irrigation for the generated sets. Strip, narrow, and wide basins, with different slope, land leveling precision, infiltration variation and inflow rate were analyzed. The coupled influence of spatial variation of microtopography and infiltration on irrigation performance, relationship between the influence degrees and degrees of spatial variance, and other irrigation factors were discussed. Results show that the basin irrigation performance decreased with increased spatial variability of microtopography and infiltration. The effect of the spatial variability of microtopography became more obvious when S d (land leveling precision) was more than 1 cm. Smaller spatial variability of infiltration resulted in a stronger influence degree of microtopography on irrigation performance, and increasing the inflow can weaken this influence. The spatial variability of infiltration mainly affected the irrigation uniformity CU, and the effect on the infiltrated depth when advance was completed (Z adv) was very small. The influence of infiltration variation on irrigation performances increased with Enhanced land leveling precision, especially for zero-leveled basins. For such basins, the influence of infiltration variation on irrigation performance should be paid more attention in the design and management of irrigation systems. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Irrigation Science Springer Journals

Coupled impact of spatial variability of infiltration and microtopography on basin irrigation performances

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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2017 by Springer-Verlag GmbH Germany
Subject
Life Sciences; Agriculture; Water Industry/Water Technologies; Environment, general; Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution; Sustainable Development; Climate Change
ISSN
0342-7188
eISSN
1432-1319
D.O.I.
10.1007/s00271-017-0550-z
Publisher site
See Article on Publisher Site

Abstract

Soil surface elevation and infiltration are two key variables that affect basin irrigation performances. A number of sets of spatially variable surface elevation and infiltration parameters were generated using stochastic modeling, and a 2D basin irrigation model was used to simulate irrigation for the generated sets. Strip, narrow, and wide basins, with different slope, land leveling precision, infiltration variation and inflow rate were analyzed. The coupled influence of spatial variation of microtopography and infiltration on irrigation performance, relationship between the influence degrees and degrees of spatial variance, and other irrigation factors were discussed. Results show that the basin irrigation performance decreased with increased spatial variability of microtopography and infiltration. The effect of the spatial variability of microtopography became more obvious when S d (land leveling precision) was more than 1 cm. Smaller spatial variability of infiltration resulted in a stronger influence degree of microtopography on irrigation performance, and increasing the inflow can weaken this influence. The spatial variability of infiltration mainly affected the irrigation uniformity CU, and the effect on the infiltrated depth when advance was completed (Z adv) was very small. The influence of infiltration variation on irrigation performances increased with Enhanced land leveling precision, especially for zero-leveled basins. For such basins, the influence of infiltration variation on irrigation performance should be paid more attention in the design and management of irrigation systems.

Journal

Irrigation ScienceSpringer Journals

Published: Jul 14, 2017

References

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