Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&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: 3122
Function: getPubMedXML
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
Bacterial source characterization and allocation are imperative to watershed planning and identifying best management practices. The Spatially Explicit Load Enrichment Calculation Tool (SELECT) has been extensively utilized in watershed protection plans to evaluate the potential bacteria loads and sources in impaired watersheds. However, collecting data, compiling inputs, and spatially mapping sources can be arduous, time-intensive, expensive, and iterative until potential bacteria loads are appropriately allocated to sources based on stakeholder recommendations. We developed a web-based decision support system (DSS), TXSELECT (https://tx.select.tamu.edu), providing a user-friendly interface to run the SELECT model on Texas watersheds. The DSS includes pre-determined watershed-specific inputs that can be readily adjusted within the interface based on user preference and stakeholder recommendations, obviating the necessity for expensive GIS tools and data extraction. To illustrate the applications of TXSELECT, we implemented it in the entire coverage area to identify the potential hotspots and source contributions for at a regional scale. Median potential loads were significantly higher in subwatersheds not supporting recreation use. Overall, the large-scale application of SELECT has the potential to aid in prioritizing management measures in watersheds that are less frequently monitored but could have an elevated risk of impairment.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1080/10934529.2024.2445953 | DOI Listing |
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