Improved quantification of river nutrient loading for better water quality and more efficient energy use
The focus of this paper is multi-sector dynamics involving agriculture practices, water quality and energy. Currently there lacks high-resolution spatiotemporal data regarding water quality and usage, forcing the planning for water treatment to adopt the conservative, worst-case assumptions, wasting energy and limiting water supply.
Near-term opportunities: 1) High-resolution spatiotemporal data for water quality and usage; 2) Forecasting pollution events and demand fluctuations; 3) Optimizing fertilizer and pesticide application; 4) Assessing climate change impacts on water-energy nexus; 5) Improving hydropower generation efficiency
Success measures: 1) Amount of reduced energy consumption for water management; 2) improved water quality; 3) Enhanced water and energy security; 4) Optimized agricultural water and nutrient use; 5) Increased hydropower generation efficiency; 6) Better data availability and utilization; and 7) Proactive management of water resources.
Citation Formats
TY - DATA
AB - The focus of this paper is multi-sector dynamics involving agriculture practices, water quality and energy. Currently there lacks high-resolution spatiotemporal data regarding water quality and usage, forcing the planning for water treatment to adopt the conservative, worst-case assumptions, wasting energy and limiting water supply.
Near-term opportunities: 1) High-resolution spatiotemporal data for water quality and usage; 2) Forecasting pollution events and demand fluctuations; 3) Optimizing fertilizer and pesticide application; 4) Assessing climate change impacts on water-energy nexus; 5) Improving hydropower generation efficiency
Success measures: 1) Amount of reduced energy consumption for water management; 2) improved water quality; 3) Enhanced water and energy security; 4) Optimized agricultural water and nutrient use; 5) Increased hydropower generation efficiency; 6) Better data availability and utilization; and 7) Proactive management of water resources.
AU - Tang, Jinyun
A2 - Falco, Nichola
A3 - Zhu, Qing
DB - Energy-Water Resilience
DP - Open EI | National Laboratory of the Rockies
DO -
KW - water quality
KW - water treatment
KW - high-resolution data
KW - proactive water management
KW - multi-sector
KW - agriculture
KW - spatiotemporal data
LA - English
DA - 2026/01/16
PY - 2026
PB - LBNL
T1 - Improved quantification of river nutrient loading for better water quality and more efficient energy use
UR - https://ewr.openei.org/submissions/56
ER -
Tang, Jinyun, et al. Improved quantification of river nutrient loading for better water quality and more efficient energy use . LBNL, 16 January, 2026, Energy-Water Resilience. https://ewr.openei.org/submissions/56.
Tang, J., Falco, N., & Zhu, Q. (2026). Improved quantification of river nutrient loading for better water quality and more efficient energy use . [Data set]. Energy-Water Resilience. LBNL. https://ewr.openei.org/submissions/56
Tang, Jinyun, Nichola Falco, and Qing Zhu. Improved quantification of river nutrient loading for better water quality and more efficient energy use . LBNL, January, 16, 2026. Distributed by Energy-Water Resilience. https://ewr.openei.org/submissions/56
@misc{EWR_Dataset_56,
title = {Improved quantification of river nutrient loading for better water quality and more efficient energy use },
author = {Tang, Jinyun and Falco, Nichola and Zhu, Qing},
abstractNote = {The focus of this paper is multi-sector dynamics involving agriculture practices, water quality and energy. Currently there lacks high-resolution spatiotemporal data regarding water quality and usage, forcing the planning for water treatment to adopt the conservative, worst-case assumptions, wasting energy and limiting water supply.
Near-term opportunities: 1) High-resolution spatiotemporal data for water quality and usage; 2) Forecasting pollution events and demand fluctuations; 3) Optimizing fertilizer and pesticide application; 4) Assessing climate change impacts on water-energy nexus; 5) Improving hydropower generation efficiency
Success measures: 1) Amount of reduced energy consumption for water management; 2) improved water quality; 3) Enhanced water and energy security; 4) Optimized agricultural water and nutrient use; 5) Increased hydropower generation efficiency; 6) Better data availability and utilization; and 7) Proactive management of water resources.},
url = {https://ewr.openei.org/submissions/56},
year = {2026},
howpublished = {Energy-Water Resilience, LBNL, https://ewr.openei.org/submissions/56},
note = {Accessed: 2026-06-13}
}
Details
Data from Jan 16, 2026
Last updated Jan 16, 2026
Submitted Jan 16, 2026
Contact
Jinyun Tang
Authors
Keywords
water quality, water treatment, high-resolution data, proactive water management, multi-sector, agriculture, spatiotemporal dataDOE Project Details
Project Name White Papers on Ideas to Advance Energy-Water Resilience
Project Lead
Project Number WP-056