Subsurface water distribution from drip irrigation described by moment analyses

被引:52
作者
Lazarovitch, N. [1 ]
Warrick, A. W.
Furman, A.
Simunek, J.
机构
[1] Ben Gurion Univ Negev, Jacob Blaustein Inst Desert Res, Wyler Dep Dryland Agr, IL-84990 Sede Boqer, Israel
[2] Univ Arizona, Tucson, AZ 85721 USA
[3] Agr Res Org, Volcani Ctr, IL-50250 Bet Dagan, Israel
[4] Univ Calif Riverside, Dept Environm Sci, Riverside, CA 92521 USA
关键词
D O I
10.2136/vzj2006.0052
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Moment analysis techniques are used to describe spatial and temporal subsurface wetting patterns resulting from drip emitters. The water added is considered a "plume'' with the zeroth moment representing the total volume of water applied. The first moments lead to the location of the center of the plume, and the second moments relate to the amount of spreading about the mean position. We tested this approach with numerically generated data for infiltration from surface and buried line and point sources in three contrasting soils. Ellipses ( in two dimensions) or ellipsoids ( in three dimensions) can be depicted about the center of the plume. Any fraction of water added can be related to a "probability'' curve relating the size of the ellipse ( or ellipsoid) that contains that amount of water. Remarkably, the probability curves are identical for all times and all of the contrasting soils. The consistency of the probability relationships can be exploited to pinpoint the extent of subsurface water for any fraction of the volume added. The new method can be immediately applied to the vital question of how many sensors are needed and where to install them to capture the overall water distribution under drip irrigation. For example, better agreement with the "exact'' solution occurs with increasing the number of observation points from 6 to 9 and no significant improvement when increasing from 9 to 16. The method can also be applied to parameter estimation of soil hydraulic properties, which we uniquely reproduced for generated data.
引用
收藏
页码:116 / 123
页数:8
相关论文
共 26 条
[1]   SOIL-WATER DISTRIBUTION UNDER TRICKLE SOURCE [J].
ANGELAKIS, AN ;
ROLSTON, DE ;
KADIR, TN ;
SCOTT, VH .
JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING, 1993, 119 (03) :484-500
[2]   3-DIMENSIONAL STATISTICAL MOMENT ANALYSIS OF THE STANFORD WATERLOO BORDEN TRACER DATA [J].
BARRY, DA ;
SPOSITO, G .
WATER RESOURCES RESEARCH, 1990, 26 (08) :1735-1747
[3]   INFILTRATION AND WATER EXTRACTION FROM TRICKLE IRRIGATION SOURCE - THE EFFECTIVE HEMISPHERE MODEL [J].
BENASHER, J ;
CHARACH, C ;
ZEMEL, A .
SOIL SCIENCE SOCIETY OF AMERICA JOURNAL, 1986, 50 (04) :882-887
[4]   ANALYSIS OF TRICKLE IRRIGATION WITH APPLICATION TO DESIGN PROBLEMS [J].
BRESLER, E .
IRRIGATION SCIENCE, 1978, 1 (01) :3-17
[5]   DEVELOPING JOINT PROBABILITY-DISTRIBUTIONS OF SOIL-WATER RETENTION CHARACTERISTICS [J].
CARSEL, RF ;
PARRISH, RS .
WATER RESOURCES RESEARCH, 1988, 24 (05) :755-769
[6]   GREEN-AMPT ANALYSIS OF WETTING PATTERNS FOR SURFACE EMITTERS [J].
CHU, ST .
JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING, 1994, 120 (02) :414-421
[7]   WetUp: a software tool to display approximate wetting patterns from drippers [J].
Cook, FJ ;
Thorburn, PJ ;
Fitch, P ;
Bristow, KL .
IRRIGATION SCIENCE, 2003, 22 (3-4) :129-134
[8]  
Dasberg S., 1999, DRIP IRRIGATION, DOI DOI 10.1016/j.agwat.2004.12.015
[9]   Two-dimensional modeling of nitrate leaching for various fertigation scenarios under micro-irrigation [J].
Gärdenäs, AI ;
Hopmans, JW ;
Hanson, BR ;
Simunek, J .
AGRICULTURAL WATER MANAGEMENT, 2005, 74 (03) :219-242
[10]  
Hopmans JW., 2018, Methods Soil Anal Part 4 Phys Methods, DOI DOI 10.2136/SSSABOOKSER5.4.C40