Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
environmental science
Analysis of runoff production at the plot scale during a long-term survey of a small agricultural catchment in Lao PDR
Journal of Hydrology, Volume 426-427, Year 2012
Notification
URL copied to clipboard!
Description
In northern Laos, small agricultural catchments are under high pressure because of the past decades of land management policies. Although the land degradation is well documented, no clear relationships have been established between land use and event scale runoff and erosion. In this study, we use a simple yet realistic model to obtain a per land use characterisation of small plot runoff production at the event scale. Runoff produced during 7years (2003-2009) from 1m2 plots under different land uses is analyzed with the spatially variable infiltration (SVI) model. This model has been recently used by different authors to study infiltration at the plot scale under monsoon climate. It depends on rainfall intensity and a parameter to be calibrated that we called infiltrability. This parameter is an average infiltration rate during a rainfall event for given soil characteristics and a given land use. The analysis and calibration of runoff production with the SVI model led to a data set of almost 3000 infiltrability values. The statistical analysis of this data set with soil parameters, like surface features and slope, land use and the antecedent precipitation index (API), which is an indicator of soil moisture content, shows that infiltrability is strongly correlated with the percentage of crust and land use type. Except for certain land use like rice, the correlation with API is not well established and it is clear that minima of infiltration are reached in the rainy season after a close sequence of rainfall events and infiltrability is generally highest at the end of the dry season. Since we could not establish clear relationships between infiltrability, soil and meteorological parameters, we propose to consider infiltrability as a random function in space and time described, for each land use, by a log normal probability density function. © 2012 Elsevier B.V..
Authors & Co-Authors
Patin, Jeremy
France, Gif-sur-yvette
Laboratoire Des Sciences du Climat et de L'environnement
Mouche, Emmanuel
France, Gif-sur-yvette
Laboratoire Des Sciences du Climat et de L'environnement
Ribolzi, Olivier
France, Paris
Cnrs Centre National de la Recherche Scientifique
Chaplot, Vincent A.M.
South Africa, Durban
University of Kwazulu-natal
Sengtahevanghoung, Oloth
Unknown Affiliation
Latsachak, Keoudone
Unknown Affiliation
Soulileuth, Bounsamay
Unknown Affiliation
Valentin, Christian
France, Paris
Institut D'ecologie et Des Sciences de L'environnement de Paris Iees Paris
Statistics
Citations: 61
Authors: 8
Affiliations: 4
Identifiers
Doi:
10.1016/j.jhydrol.2012.01.015
ISSN:
00221694
Study Design
Cross Sectional Study
Study Approach
Quantitative