Specifications

Language: English
ISSN: 17551307
E-ISSN: 17551315
Document type: Conference article (CA)
Conference name: 26th IAHR Symposium on Hydraulic Machinery and Systems
Conference date: August 19, 2012 - August 23, 2012
Conference location: Beijing, China
Conference code: 95632
Publisher: Institute of Physics Publishing, Temple Circus, Temple Way, Bristol, BS1 6BE, United
Kingdom
Abstract: Soil spatial variability is one of the primary environmental factors that influences the
hydraulic factors and technical indicators of subsurface drip irrigation (SDI), whose emitters are
buried in the soil. This paper aimed at evaluating these effects of soil spatial variability on
hydrologic factors under SDI. And some SDI emitter and capillary experiments were designed to
obtain test data and distribution of pressure and emitter discharge. First, The results of labyrinth
non-turbulent mosaic drip emitter test and fractal theory were used to research the fractal and
quantitative relationship between single emitter hydrologic factors and soil physical parameters;
and then, the capillary experiments and the relationship among hydrologic factors of capillary
were used to analyze the fractal and quantitative relationship between hydrologic factors of
capillary and soil physical parameters, which explained the inner relationship between spatial
variability of soil and hydrologic factors of filed pipeline network under SDI, and provide theory
support for the plan, design, management and production of SDI. © Published under licence by
IOP Publishing Ltd.
Number of references: 10
Main heading: Subirrigation
Controlled terms: Experiments - Fractals - Hydraulic machinery - Soils
Uncontrolled terms: Drip emitter - Emitter discharges - Environmental factors -
Fractal theory - Hydraulic factors - Pipeline networks - Production of - Single
emitter - Soil physical parameters - Spatial variability - Subsurface drip irrigation -
Technical indicator - Test data
Classification code: 483.1 Soils and Soil Mechanics - 632.2 Hydraulic Equipment and
Machinery - 821.3 Agricultural Methods - 901.3 Engineering Research - 921
Mathematics
DOI: 10.1088/1755-1315/15/7/072031
Database: Compendex
Compilation and indexing terms, © 2013 Elsevier Inc.
23.
Accession number: 20130916053271
Title: The multi-objective optimization of the horizontal-axis marine current turbine based on
NSGA-II algorithm
Authors: Zhu, G.J.1, 2 ; Guo, P.C.1, 2 ; Luo, X.Q.1, 2 ; Feng, J.J.1, 2/;郭鹏程;罗兴锜;
Author affiliation: 1 Institute of Water Resources and Hydro-Electric Engineering, Xi'An
University of Technology, No.5 South Jinhua Road, Xi'an 710048, China
2 FINE Institute for Hydraulic Machinery, Huaxing Times Plaza, No.478 Wensan Rd, Hangzhou,