Probabilistic modelling of water balance at a point: the role of climate, soil and vegetation

被引:483
作者
Rodriguez-Iturbe, I [1 ]
Porporato, A
Ridolfi, L
Isham, V
Cox, DR
机构
[1] Environm Engn & Water Resources Program, Princeton, NJ 08544 USA
[2] Princeton Environm Inst, Princeton, NJ 08544 USA
[3] Politecn Torino, Dipartimento Idraul Traporti & Infrastrutt Civili, I-10129 Turin, Italy
[4] UCL, Dept Stat Sci, London WC1E 6BT, England
[5] Univ Oxford Nuffield Coll, Oxford OX1 1NF, England
来源
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES | 1999年 / 455卷 / 1990期
关键词
marked Poisson process; soil moisture; stochastic models in hydrology;
D O I
10.1098/rspa.1999.0477
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The soil moisture dynamics under seasonally fixed conditions are studied at a point. The water balance is described through the representation of rainfall as a marked Poisson process, which in turn produces an infiltration into the soil dependent on the existing level of soil moisture. The losses from the soil are due to evapotranspiration and leakage, which are also considered dependent on the existing soil moisture. The steady-state probability distributions for soil moisture are then analytically obtained. The analysis of the distribution allows for the assessment of the role of climate, soil and vegetation on soil moisture dynamics. Further hydrologic insight is obtained by studying the various components of an average water balance. The realistic representation of the processes acting at a site and the analytical tractability of the model make it well suited for further analyses that consider the spatial aspect of soil moisture dynamics.
引用
收藏
页码:3789 / 3805
页数:17
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