Estimating the collapse of aggregated fine soil structure in a mountainous forested catchment

JOURNAL OF ENVIRONMENTAL MANAGEMENT

卷:138

Article

Mouri, Goro¹  Shinoda, Seirou²  Golosov, Valentin^3,4  Chalov, Sergey^4,5  Shiiba, Michiharu⁶  Hori, Tomoharu⁷  Oki, Taikan¹ 

[1] Univ Tokyo, IIS, Meguro Ku, Tokyo 1538505, Japan

[2] Gifu Univ, IMC, Gifu 5011193, Japan

[3] Moscow MV Lomonosov State Univ, Fac Geog, Moscow 119991, Russia

[4] MSU Moscow, GSP 1, Moscow, Russia

[5] Moscow MV Lomonosov State Univ, Fac Geog, Moscow 119992, Russia

[6] Kyoto Univ, Dept Urban & Environm Engn, Sakyo Ku, Kyoto 6068501, Japan

[7] Kyoto Univ, Disaster Prevent Res Inst, Uji, Kyoto 6110011, Japan

关键词: Aggregated structure;    Antecedent rainfall;    Collapse;    Ground dryness;    Hydrological model;    Suspended sediment;    Warmer climate;   

DOI  :  10.1016/j.jenvman.2013.08.014

来源: Elsevier

【 摘 要 】

This paper describes the relationship of forest soil dryness and antecedent rainfall with suspended sediment (SS) yield due to extreme rainfall events and how this relationship affects the survival of forest plants. Several phenomena contribute to this relationship: increasing evaporation (amount of water vapour discharged from soil) due to increasing air temperature, decreasing moisture content in the soil, the collapse of aggregates of fine soil particles, and the resulting effects on forest plants. To clarify the relationships among climate variation, the collapse of soil particle aggregates, and rainfall runoff processes, a numerical model was developed to reproduce such aggregate collapse in detail. The validity of the numerical model was confirmed by its application to the granitic mountainous catchment of the Nagara River basin in Japan and by comparison with observational data. The simulation suggests that important problems, such as the collapse of forest plants in response to decreases in soil moisture content and antecedent rainfall, will arise if air temperature continues to increase. (C) 2013 The Authors. Published by Elsevier Ltd. All rights reserved.

【 授权许可】

Free