Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
In recent years, vegetation plays a key role in landslide stability under extreme rainfall in the Three Gorges Reservoir area, so it is very important to identify the mechanism of vegetation slope protection. This study takes wildcat landslide in Three Gorges Reservoir area as the research object, using indoor landslide model test and building monitoring systems such as stress field, displacement field, and soil erosion, to illustrate the protective effect of typical vegetation. Furthermore, Bermuda cover effectively reduces pore water pressure, pore soil pressure, displacement, and turbidity. In particular, the three stages of interception and buffering of rainfall by stems and leaves, infiltration and absorption of rainfall by the root system, and the reinforcement of the slope against sliding forces by the root system have been divided. Moreover, these findings offer valuable preliminary insights for guiding landslide mitigation strategies in the Three Gorges Reservoir area.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11214413 | PMC |
http://dx.doi.org/10.1016/j.isci.2024.110057 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!