Water extraction by isolated trees and its possible impact on building foundations on clay soils

Soil Research ◽  
1993 ◽  
Vol 31 (1) ◽  
pp. 25 ◽  
Author(s):  
RK Misra ◽  
R Sands

Spatial and temporal variation in soil water content and bulk density was measured near Melaleuca and Ulmus trees, with neutron and gamma gauges, on a Duplex soil in Melbourne, in order to examine water extraction patterns of these trees and foundation movement arising from water extraction. The experiment simulated the situation of isolated trees growing on city pavements. Results indicated that both trees extracted similar amounts of water. However, Ulmus, the exotic, deciduous species, extracted water from a greater depth near the tree than Melaleuca, the Australian native, evergreen species. Melaleuca extracted water from a greater distance than Ulmus. Data on bulk density indicated differential swelling and shrinkage of greater magnitude near Ulmus than Melaleuca, although seasonal shrinkage adjacent to Melaleuca was higher than Ulmus. The results are discussed in relation to variation in compressibility factor of overburden and damage to building foundations.

Water ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 1798
Author(s):  
Xu Wu ◽  
Su Li ◽  
Bin Liu ◽  
Dan Xu

The spatio-temporal variation of precipitation under global warming had been a research hotspot. Snowfall is an important part of precipitation, and its variabilities and trends in different regions have received great attention. In this paper, the Haihe River Basin is used as a case, and we employ the K-means clustering method to divide the basin into four sub-regions. The double temperature threshold method in the form of the exponential equation is used in this study to identify precipitation phase states, based on daily temperature, snowfall, and precipitation data from 43 meteorological stations in and around the Haihe River Basin from 1960 to 1979. Then, daily snowfall data from 1960 to 2016 are established, and the spatial and temporal variation of snowfall in the Haihe River Basin are analyzed according to the snowfall levels as determined by the national meteorological department. The results evalueted in four different zones show that (1) the snowfall at each meteorological station can be effectively estimated at an annual scale through the exponential equation, for which the correlation coefficient of each division is above 0.95, and the relative error is within 5%. (2) Except for the average snowfall and light snowfall, the snowfall and snowfall days of moderate snow, heavy snow, and snowstorm in each division are in the order of Zones III > IV > I > II. (3) The snowfall and the number of snowfall days at different levels both show a decreasing trend, except for the increasing trend of snowfall in Zone I. (4) The interannual variation trend in the snowfall at the different levels are not obvious, except for Zone III, which shows a significant decreasing trend.


2021 ◽  
Vol 209 ◽  
pp. 116775
Author(s):  
T. Mukherjee ◽  
T. DebRoy ◽  
T.J. Lienert ◽  
S.A. Maloy ◽  
P. Hosemann

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