Representation of space-time variability of soil moisture

被引：53

作者：

Isham, V

Cox, DR

Rodríguez-Iturbe, I

Porporato, A

Manfreda, S

机构：

[1] UCL, Dept Stat Sci, London WC1E 6BT, England

[2] Univ Oxford, Nuffeld Coll, Oxford OX1 1NF, England

[3] Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08540 USA

[4] Duke Univ, Dept Civil & Environm Engn, Durham, NC 27706 USA

[5] Univ Basilicata, DIFA, I-85100 Potenza, Italy

来源：

PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES | 2005年 / 461卷 / 2064期

关键词：

poisson process; soil moisture; spatial-temporal correlation; stochastic rainfall model;

D O I：

10.1098/rspa.2005.1568

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：

A simplified spatial-temporal soil moisture model driven by stochastic spatial rainfall forcing is proposed. The model is mathematically tractable, and allows the spatial and temporal structure of soil moisture fields, induced by the spatial-temporal variability of rainfall and the spatial variability of vegetation, to be explored analytically. The influence of the main model parameters, reflecting the spatial scale of rain cells. the soil storage capacity, the rainfall interception and the soil water loss rate (representing evaporation and deep infiltration) is investigated. The variabilities of the spatially averaged soil moisture process, and that averaged in both space and time, are derived. The present analysis focuses on spatially uniform vegetation conditions; a. follow-up paper will incorporate stochastically heterogeneous vegetation.

引用

页码：4035 / 4055

页数：21

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