World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
57
Citations
12169
World Ranking
2645
National Ranking
807

Environmental Sciences

D-Index
59
Citations
13235
World Ranking
3085
National Ranking
1197

Research.com Recognitions

  • 2018 - Member of the National Academy of Engineering For analysis of water and environmental policy issues leading to integrated water resources planning and management.

Overview

Jay R. Lund is affiliated with the University of California, Davis in the United States. Their research primarily spans the fields of Environmental Science and Engineering, with a focus on topics related to water resources management and optimization.

The main topics covered in their work include:

  • Water resources management and optimization
  • Water-Energy-Food Nexus Studies
  • Hydrology and Watershed Management Studies
  • Flood Risk Assessment and Management
  • Hydrology and Sediment Transport Processes
  • Hydrology and Drought Analysis
  • Reservoir Engineering and Simulation Methods

They have contributed to subfields such as Ocean Engineering, Water Science and Technology, Global and Planetary Change, Electrical and Electronic Engineering, and Finance.

Frequent coauthors in Jay R. Lund's research include:

  • Josué Medellín-Azuara
  • Ximing Cai
  • Benxi Liu
  • Shengli Liao
  • Mustafa Sahin Dogan

Jay R. Lund has published extensively in a range of venues with multiple contributions to:

  • Water
  • Journal of Water Resources Planning and Management
  • Water Resources Research
  • Water Resources Management
  • SSRN Electronic Journal

Selected recent papers authored include:

  • "Optimal power peak shaving using hydropower to complement wind and solar power uncertainty" (2020), Energy Conversion and Management
  • "Restoring Rivers and Floodplains for Habitat and Flood Risk Reduction: Experiences in Multi-Benefit Floodplain Management From California and Germany" (2022), Frontiers in Environmental Science
  • "Peak Shaving Model for Coordinated Hydro-Wind-Solar System Serving Local and Multiple Receiving Power Grids via HVDC Transmission Lines" (2020), IEEE Access
  • "Pareto Optimality and Compromise for Environmental Water Management" (2021), Water Resources Research
  • "Planning for groundwater sustainability accounting for uncertainty and costs: An application to California's Central Valley" (2020), Journal of Environmental Management

In 2018, Jay R. Lund was recognized as a Member of the National Academy of Engineering for their work on analysis of water and environmental policy issues leading to integrated water resources planning and management.

Best Publications

  • Hydro-economic models: concepts, design, applications, and future prospects.

    Julien J. Harou;Manuel Pulido-Velazquez;David E. Rosenberg;Josué Medellín-Azuara

  • Economic-engineering optimization for California water management

    Andrew J. Draper;Marion W. Jenkins;Kenneth W. Kirby;Jay R. Lund

  • Water and climate: Recognize anthropogenic drought.

    Amir AghaKouchak;David Feldman;Martin Hoerling;Travis Huxman

  • The future of water resources systems analysis: Toward a scientific framework for sustainable water management

    Casey M. Brown;Jay R. Lund;Ximing Cai;Patrick M. Reed

  • Climate warming and water management adaptation for California

    Stacy K. Tanaka;Tingju Zhu;Jay R. Lund;Richard E. Howitt

  • Optimal Hedging and Carryover Storage Value

    Andrew J. Draper;Jay R. Lund

  • Derived Operating Rules for Reservoirs in Series or in Parallel

    Jay R. Lund;Joel Guzman

  • Lessons from California’s 2012–2016 Drought

    Jay Lund;Josue Medellin-Azuara;John Durand;Kathleen Stone

  • LINEAR PROGRAMMING FOR FLOOD CONTROL IN THE IOWA AND DES MOINES RIVERS

    Jason T. Needham;David W. Watkins;Jay R. Lund;S. K. Nanda

  • Optimization of California's Water Supply System: Results and Insights

    Marion W. Jenkins;Jay R. Lund;Richard E. Howitt;Andrew J. Draper

  • Hydro-economic Modeling in River Basin Management: Implications and Applications for the European Water Framework Directive

    I. Heinz;M. Pulido-Velazquez;J. R. Lund;J. Andreu

  • Adaptability and adaptations of California's water supply system to dry climate warming

    Josué Medellín-Azuara;Julien J. Harou;Marcelo A. Olivares;Kaveh Madani

  • Calibrating disaggregate economic models of agricultural production and water management

    Richard E. Howitt;Josué MedellíN-Azuara;Duncan Macewan;Jay R. Lund

  • A Monte-Carlo game theoretic approach for Multi-Criteria Decision Making under uncertainty

    Kaveh Madani;Jay R. Lund

  • Envisioning Futures for the Sacramento-San Joaquin Delta

    Ellen Hanak;William Fleenor;Jay Lund

  • Adapting California’s water management to climate change

    Ellen Hanak;Jay R. Lund

  • Operating Rule Optimization for Missouri River Reservoir System

    Jay R. Lund;Inês Ferreira

  • Recent California Water Transfers: Implications For Water Management

    Morris Israel;Jay R. Lund

  • Optimal power peak shaving using hydropower to complement wind and solar power uncertainty

    Benxi Liu;Jay R. Lund;Shengli Liao;Xiaoyu Jin

  • Restoring Rivers and Floodplains for Habitat and Flood Risk Reduction: Experiences in Multi-Benefit Floodplain Management From California and Germany

    Unknown

  • Ending groundwater overdraft in hydrologic-economic systems

    Julien J. Harou;Jay R. Lund

  • Comparing Futures for the Sacramento - San Joaquin Delta

    Jay Lund;Ellen Hanak;William Fleenor;Willaim Bennett

Frequent Co-Authors

Richard E. Howitt
Richard E. Howitt University of California, Davis
Kaveh Madani
Kaveh Madani Yale University
Peter B. Moyle
Peter B. Moyle University of California, Davis
Jeffrey F. Mount
Jeffrey F. Mount University of California, Davis
Chuntian Cheng
Chuntian Cheng Dalian University of Technology
Joshua H. Viers
Joshua H. Viers University of California, Merced
Andrea Castelletti
Andrea Castelletti Polytechnic University of Milan
Thomas Harter
Thomas Harter University of California, Davis
Jianlin Hu
Jianlin Hu Nanjing University of Information Science and Technology
Michael J. Kleeman
Michael J. Kleeman University of California, Davis

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