日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Optimization of Agricultural and Urban BMPs to Meet Phosphorus and Sediment Loading Targets in the Upper Soldier Creek, Kansas, USA

优化农业和城市最佳管理实践,以满足美国堪萨斯州上索尔杰溪的磷和泥沙负荷目标

Detenbeck, Naomi E; Weaver, Christopher P; Le, Alyssa M; Morefield, Philip E; Ennett, Samuel; Ten Brink, Marilyn R

Spatial and Temporal Variability in Stream Thermal Regime Drivers for Three River Networks During the Summer Growing Season

夏季生长季三个河流网络溪流热力状况驱动因素的时空变异性

Fuller, Matthew R; Detenbeck, Naomi E; Leinenbach, Peter; Labiosa, Rochelle; Isaak, Daniel

EstuarySAT Database Development of Harmonized Remote Sensing and Water Quality Data for Tidal and Estuarine Systems

河口卫星数据库开发:用于潮汐和河口系统的协调遥感和水质数据

Rego, Steven A; Detenbeck, Naomi E; Shen, Xiao

River Basin Export Reduction Optimization Support Tool; a tool to screen options for reducing nutrient loads while minimizing cost

流域出口减排优化支持工具;一种用于筛选减少营养物负荷并最大限度降低成本方案的工具。

Chamberlin, C; Ten Brink, M; Munson, K; Le, A; Detenbeck, N

Riparian vegetation shade restoration and loss effects on recent and future stream temperatures

河岸植被遮荫的恢复和丧失对近期和未来溪流温度的影响

Fuller, Matthew R; Leinenbach, Peter; Detenbeck, Naomi E; Labiosa, Rochelle; Isaak, Daniel J

Spatial and temporal variations of estuarine stratification and flushing time across the continental U.S

美国大陆河口分层和冲刷时间的时空变化

Shen, Xiao; Detenbeck, Naomi; You, Mingde

Using Multiobjective Optimization to Inform Green Infrastructure Decisions as Part of Robust Integrated Water Resources Management Plans

利用多目标优化为绿色基础设施决策提供信息,作为健全的综合水资源管理计划的一部分

Piscopo, Amy N; Weaver, Christopher C; Detenbeck, Naomi E

Era of Intelligent Systems in Healthcare

医疗保健智能系统时代

Figary, Stephanie; Detenbeck, Naomi; O'Donnell, Cara; Belciug, Smaranda; Gorunescu, Florin

Recent Changes in Nitrogen Sources and Load Components to Estuaries of the Contiguous United States

美国本土河口氮源及氮负荷组成近期变化

Detenbeck, Naomi E; You, Mingde; Torre, Daniel

Statistical Models to Predict and Assess Spatial and Temporal Low-Flow Variability in New England Rivers and Streams

用于预测和评估新英格兰河流和溪流低流量时空变异性的统计模型

Detenbeck, Naomi E