METRIC: An interactive framework for integrated visualization and analysis of monitored and expected load reductions for nitrogen, phosphorus, and sediment in the Chesapeake Bay watershed

IF 4.6 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Environmental Modelling & Software Pub Date : 2025-02-16 DOI:10.1016/j.envsoft.2025.106379
Qian Zhang , Gary W. Shenk , Gopal Bhatt , Isabella Bertani
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Abstract

Reductions of nitrogen, phosphorus, and sediment loads have been the focus of watershed restoration in many regions for improving water quality, including the Chesapeake Bay. Watershed models and riverine monitoring data can provide important information on the progress of load reductions but do not always generate consistent interpretations. A new framework for integrated visualization and analysis of monitoring and modeling data, named “Monitored and Expected Total Reduction Indicator for the Chesapeake (METRIC),” was developed to provide spatially explicit trends for the subwatersheds of the Chesapeake Bay. METRIC contains up-to-date information on nitrogen, phosphorus, and sediment at 83, 66, and 66 stations, respectively, which can help watershed managers gauge expectations on the trajectory and pace of progress at localized scales. These results were further synthesized to better understand the spatial patterns of the response classes (i.e., agreement between the expected and monitored trends) across the Chesapeake Bay watershed.

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METRIC:一个交互式框架,用于综合可视化和分析切萨皮克湾流域氮、磷和沉积物的监测和预期负荷减少
在包括切萨皮克湾在内的许多地区,为了改善水质,减少氮、磷和沉积物负荷一直是流域恢复的重点。流域模型和河流监测数据可以提供关于减少负荷进展的重要信息,但并不总是产生一致的解释。一个名为“切萨皮克监测和预期总减少指标(METRIC)”的监测和建模数据综合可视化和分析新框架被开发出来,以提供切萨皮克湾下游流域的空间明确趋势。METRIC包含分别在83、66和66个站点的氮、磷和沉积物的最新信息,可以帮助流域管理者在局部尺度上衡量对进展轨迹和速度的预期。这些结果进一步综合,以更好地了解整个切萨皮克湾流域响应类别的空间格局(即预期趋势与监测趋势之间的一致性)。
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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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