Publications

Peer-reviewed Journals (Research Gate)

2019

Hu, Y., Long, C.M., Wang, Y.C., Kerkez, B. and Scavia, D.* (2019). Urban Total Phosphorus Loads to the St. Clair-Detroit River System. Journal of Great Lakes Research (in press).

We analyzed the spatial and temporal dynamics of total phosphorus loads from the urban areas in the Detroit River watershed, and used a calibrated storm water management model (SWMM) to explore options for reducing loads around metro Detroit.

#Phosphorus; #Urban Loads; # Detroit River; #SWMM

Scavia, D*, Bocaniov, S.A., Dagnew, A., Hu, Y., Kerkez, B., Long, C.M., Muenich, R.L., Read, J., Vaccaro, L., Wang, Y.C. (2019). Detroit River Phosphorus Loads: Anatomy of a Binational Watershed. Journal of Great Lakes Research (in press).

The focus of this paper is the Detroit River and its watershed, a source of 25% of the total phosphorus (TP) load to Lake Erie. 54% of the load comes from Lake Huron, and nonpoint sources contribute 57% of the TP load and 50% of the dissolved reactive phosphorus load, with the remaining balance from point sources.

#Detroit River; #Lake Huron; # Lake Erie #Phosphorus # Nutrient Loads

Hu, Y*., & Beattie, S. (2018). Role of Heterogeneous Behavioral Factors in an Agent-Based Model of Crop Choice and Groundwater Irrigation. Journal of Water Resources Planning and Management145(2), 04018100.

An agent an agent-based model is developed using a two-stage optimization strategy with the goal of optimizing the decision making of heterogeneous farmers on crop choice and groundwater irrigation.

#ABM; #Optimization; #Groundwater Irrigation # Crop Planning;


2018

Hu, Y., Scavia, D., & Kerkez, B*. (2018). Are all data useful? Inferring causality to predict flows across sewer and drainage systems using directed information and boosted regression trees. Water research145, 697-706.

Our approach, based on Directed Information (DI) and Boosted Regression Trees (BRT), is evaluated by fusing measurements and the outputs of a numerical sewer model to predict flows across sewer and drainage systems.

#Directed Information; #Boosted Regression Trees; #SWMM; #CSO


2017

Hu, Y*., Quinn, C. J., Cai, X., & Garfinkle, N. W. (2017). Combining human and machine intelligence to derive agents’ behavioral rules for groundwater irrigation. Advances in water resources109, 29-40.

 An agent-based model is developed based on the behavioral rules represented by directed information graphs and modeled by boosted regression trees, and coupled with a physically-based groundwater model to investigate the impacts of agents’ pumping behavior on the underlying groundwater system in the context of coupled human and environmental systems. 

#ABM; #Directed Information Graph; # Boosted Regression Trees; # Bounded Rationality; # Behavioral Uncertainty


2015

Hu, Y*., Quinn, C. J., Cai, X., & Garfinkle, N. W. (2017). Combining human and machine intelligence to derive agents’ behavioral rules for groundwater irrigation. Advances in water resources109, 29-40.

This paper utilizes Hadoop-based Cloud Computing techniques and Polynomial Chaos Expansion (PCE) based variance decomposition approach to carry on global sensitivity analysis with large-scale socio-hydrological models.

#ABM; #Global Sensitivity Analysis; #Cloud Computing; #Polynomial Chaos Expansion; #Socio-hydrological model

Hu, Y*., Cai, X., & DuPont, B. (2015). Design of a web-based application of the coupled multi-agent system model and environmental model for watershed management analysis using Hadoop. Environmental Modelling & Software70, 149-162.

A web-based application of the coupled agent-based model and groundwater model is implemented in the Hadoop-based Cloud computing environment, which allows users to access and execute the model simultaneously without an increase in latency.

#ABM; #Cloud Computing; #Cyberinfrastruture #Model as a Service (MAAS)

Hu, Y., Valocchi, A. J.*, Lindgren, S. A., Ramos, E. A., & Byrd, R. A. (2015). Groundwater Modeling with MODFLOW as a Web Application. Groundwater6(53), 834-835.

This work provides an example of building a groundwater model as a web application, which provides secondary science teachers with means to illustrate the impact of groundwater pumping upon surface water.

#MODFLOW; #Web Application; #Cyberinfrastructure