TXSELECT:一个基于网络的决策支持系统,用于使用空间显式方法对潜在的大肠杆菌负荷进行区域评估。

IF 1.9 4区 环境科学与生态学 Q4 ENGINEERING, ENVIRONMENTAL Journal of Environmental Science and Health Part A-toxic\/hazardous Substances & Environmental Engineering Pub Date : 2024-01-01 Epub Date: 2025-01-03 DOI:10.1080/10934529.2024.2445953
Shubham Jain, Raghavan Srinivasan, Thomas J Helton, Raghupathy Karthikeyan
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引用次数: 0

摘要

细菌源的表征和分配对流域规划和确定最佳管理实践至关重要。空间显式负荷富集计算工具(spatial Explicit Load Enrichment Calculation Tool, SELECT)已被广泛应用于流域保护规划中,以评估受损流域潜在的细菌负荷和来源。然而,收集数据、编译输入和空间映射源可能是艰巨的、耗时的、昂贵的和反复的,直到潜在的细菌负荷根据涉众的建议被适当地分配到源。我们开发了一个基于网络的决策支持系统(DSS) TXSELECT (https://tx.select.tamu.edu),提供了一个用户友好的界面来运行德克萨斯州流域的SELECT模型。DSS包括预先确定的流域特定输入,可以根据用户偏好和利益相关者的建议在界面内轻松调整,从而避免了昂贵的GIS工具和数据提取的必要性。为了说明TXSELECT的应用,我们在整个覆盖区域实施TXSELECT,以确定区域范围内大肠杆菌的潜在热点和来源贡献。在不支持娱乐用途的地下水流域,潜在大肠杆菌负荷的中位数明显更高。总的来说,SELECT的大规模应用有可能有助于在监测频率较低但可能存在较高损害风险的流域确定管理措施的优先次序。
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TXSELECT: a web-based decision support system for regional assessment of potential E. coli loads using a spatially explicit approach.

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 Escherichia coli at a regional scale. Median potential E. coli 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.

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来源期刊
CiteScore
4.10
自引率
4.80%
发文量
93
审稿时长
3.0 months
期刊介绍: 14 issues per year Abstracted/indexed in: BioSciences Information Service of Biological Abstracts (BIOSIS), CAB ABSTRACTS, CEABA, Chemical Abstracts & Chemical Safety NewsBase, Current Contents/Agriculture, Biology, and Environmental Sciences, Elsevier BIOBASE/Current Awareness in Biological Sciences, EMBASE/Excerpta Medica, Engineering Index/COMPENDEX PLUS, Environment Abstracts, Environmental Periodicals Bibliography & INIST-Pascal/CNRS, National Agriculture Library-AGRICOLA, NIOSHTIC & Pollution Abstracts, PubSCIENCE, Reference Update, Research Alert & Science Citation Index Expanded (SCIE), Water Resources Abstracts and Index Medicus/MEDLINE.
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