Embedding co-production and addressing uncertainty in watershed modeling decision-support tools: successes and challenges [0.03%]
嵌入联合生产并解决不确定性在流域建模决策支持工具中的应用：成功与挑战
Bradley L Barnhart,Heather E Golden,Joseph R Kasprzyk et al.
Bradley L Barnhart et al.
Decision-support tools (DSTs) are often produced from collaborations between technical experts and stakeholders to address environmental problems and inform decision making. Studies in the past two decades have provided key insights on the ...
Capturing Microbial Sources Distributed in a Mixed-use Watershed within an Integrated Environmental Modeling Workflow [0.03%]
在一个集成环境建模工作流程中捕获分布于混合用地流域中的微生物来源
Gene Whelan,Keewook Kim,Rajbir Parmar et al.
Gene Whelan et al.
Many watershed models simulate overland and instream microbial fate and transport, but few provide loading rates on land surfaces and point sources to the waterbody network. This paper describes the underlying equations for microbial loadin...
Modelling background air pollution exposure in urban environments: Implications for epidemiological research [0.03%]
城市环境中模拟背景大气污染暴露水平：对流行病学研究的影响
Álvaro Gómez-Losada,José Carlos M Pires,Rafael Pino-Mejías
Álvaro Gómez-Losada
Background pollution represents the lowest levels of ambient air pollution to which the population is chronically exposed, but few studies have focused on thoroughly characterizing this regime. This study uses clustering statistical techniq...
Patrick Wingo,Allen Brookes,John Bolte
Patrick Wingo
The Open Modeling Environment (OME) is an open-source System Dynamics (SD) simulation engine which has been created as a joint project between Oregon State University and the US Environmental Protection Agency. It is designed around a modul...
The Environmental Benefits Mapping and Analysis Program - Community Edition (BenMAP-CE): A tool to estimate the health and economic benefits of reducing air pollution [0.03%]
环境效益制图与分析项目社区版（BenMAP-CE）：评估减少空气污染对健康和经济效益的工具
Jason D Sacks,Jennifer M Lloyd,Yun Zhu et al.
Jason D Sacks et al.
A number of software tools exist to estimate the health and economic impacts associated with air quality changes. Over the past 15 years, the U.S. Environmental Protection Agency and its partners invested substantial time and resources in d...
Vlad Isakov,Timothy M Barzyk,Elizabeth R Smith et al.
Vlad Isakov et al.
The Community model for near-PORT applications (C-PORT) is a screening tool with an intended purpose of calculating differences in annual averaged concentration patterns and relative contributions of various source categories over the spati...
Daniel B Wright,Ricardo Mantilla,Christa D Peters-Lidard
Daniel B Wright
RainyDay is a Python-based platform that couples rainfall remote sensing data with Stochastic Storm Transposition (SST) for modeling rainfall-driven hazards such as floods and landslides. SST effectively lengthens the extreme rainfall recor...
Exploring the relevance of spatial scale to life cycle inventory results using environmentally-extended input-output models of the United States [0.03%]
基于环境扩展的投入产出模型探究空间尺度对生命周期评价结果的影响——以美国为例
Yi Yang,Wesley W Ingwersen,David E Meyer
Yi Yang
The accuracy of direct and indirect resource use and emissions of products as quantified in life cycle models depends in part upon the geographical and technological representativeness of the production models. Production conditions vary no...
Introduction of a new platform for parameter estimation of kinetically complex environmental systems [0.03%]
复杂动力学环境系统的参数估计新平台及应用
Mehdi Gharasoo,Martin Thullner,Martin Elsner
Mehdi Gharasoo
A modeling framework (ReKinSim - Reaction Kinetics Simulator) is introduced, within which biogeochemical reactions in environmental systems can be described and inversely fitted to experimental data. Three key features of this simulation en...
Development of a microbial dose response visualization and modelling application for QMRA modelers and educators [0.03%]
微生物剂量反应可视化和建模应用的开发用于QMRA模型构建者和教育工作者
Mark H Weir,Jade Mitchell,William Flynn et al.
Mark H Weir et al.
Microbial dose response modelling is vital to a well-characterized microbial risk estimate. Dose response modelling is an inherently multidisciplinary field, which collates knowledge and data from disparate scientific fields. This multidisc...