
Erhu DuHohai University · Yangtze Institute for Conservation and Development
Erhu Du
Doctor of Philosophy
E-mail: erhudu@hhu.edu.cn
About
16
Publications
3,213
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211
Citations
Citations since 2017
Introduction
Dr. Du's Research areas include (1) hydrology and water resources management, (2) environmental economics and policy, (3) urban flood management and (4) machine learning in environmental system analysis.
Additional affiliations
Publications
Publications (16)
It is imperative to understand the interconnectedness of water use and hydrological impacts for water policy design underlying varying hydrological conditions across space and over time. However, such analysis remains difficult, constrained by the lack of appropriate modeling tools that fully integrate water policies, water use, and hydrological pr...
Water markets are considered as effective mechanisms to support efficient use of limited water resources and to increase crop production in agricultural systems. This study presents an agent-based modeling (ABM) framework to explore the performance of an agricultural water market under the joint influence of water permit allocation and farmers’ beh...
Analyzing river basins as coupled human and hydrological systems is important to advance our understanding of hydrological processes, and to provide insights into policy design for water resources management. However, assessing spatially heterogeneous and temporally dynamic characteristics of human-hydrological interactions remains a challenge, and...
Flood warnings from various information sources are important for individuals to make evacuation decisions during a flood event. In this study, we develop a general opinion dynamics model to simulate how individuals update their flood hazard awareness when exposed to multiple information sources, including global broadcast, social media, and observ...
Agricultural water markets are considered effective instruments to mitigate the impacts of water scarcity and to increase crop production. However, previous studies have limited understanding of how farmers' behaviors affect the performance of water markets. This study develops an agent-based model to explicitly incorporate farmers' behaviors, name...
In many flood-prone areas, it is essential for emergency responders to use advanced computer models to assess flood risk and develop informed flood evacuation plans. However, previous studies have limited understanding of how evacuation performances are affected by the arrangement of evacuation shelters regarding their number and geographical distr...
The emergence of the cellulosic bioeconomy requires not only adequate technological, economic, and policy advances, but also effective communication and coordination among the multiple stakeholders in the bioeconomy community. Aiming to facilitate stakeholder communication and collaboration for cellulosic bioeconomy growth, an agent-based model is...
The design of groundwater exploitation schedules with constraints on pumping-induced land subsidence is a computationally intensive task. Physical process-based groundwater flow and land subsidence simulations are high-dimensional, nonlinear, dynamic and computationally demanding, as they require solving large systems of partial differential equati...
Antibiotic use in crops is an emerging concern, however, human exposure to antibiotics residues through consumption of plant-derived food has generally been neglected. This study is a comprehensive evaluation based on full consideration of exposure sources and analysis for nearly 100 antibiotics. A total of 58 antibiotic compounds were detected in...
Groundwater models are critical for simulating subsurface hydrological processes, guiding informed policy-making for groundwater management. However, the widely applied groundwater models typically use regular-shaped grids to discretize aquifer systems and require that the directions of the grid edges are aligned with the hydraulic conductivity ten...
Understanding farmers’ decision-making on crop choices and water use is essential for agricultural water resource management. However, previous studies have limited understanding of how farmers’ behavioral characteristics affect their crop choices and water use in agricultural systems. To fill this research gap, in this study we develop an agent-ba...
Modeling agriculture-impacted hydrological processes remains a challenge, as information on irrigation activities is often insufficient. This study developed modules for emulating high-resolution irrigation activities and representing water management policies in integrated hydrologic modeling. The new modeling approach was implemented in China's s...
In the outbreak of infectious diseases such as COVID-19, social media channels are important tools for the public to obtain information and form their opinions on infection risk, which can affect their disease prevention behaviors and the consequent disease transmission processes. However, there has been a lack of theoretical investigation into how...
Floods are usually highly destructive, which may cause enormous losses to lives and property. It is, therefore, important and necessary to develop effective flood early warning systems and disseminate the information to the public through various information sources, to prevent or at least mitigate the flood damages. For flood early warning, novel...