URUNME was envisioned in 2014 to automate the tedious process of running the integrated Occoquan watershed model, operated and maintained at Occoquan Watershed Monitoring Laboratory located in Northern Virginia. The model is a set of computer models sequentially linked together to simulate the watershed’s hydrology and water quality. It consists of seven watershed models (HSPF) and two reservoir models (CE-QUAL-W2). At that time, this model was mostly operated manually which would take days, if not weeks, to create inputs, simulate a particular scenario, analyze output, and present visual results. After four years and more than 50,000 lines of code, URUNME has evolved into a feature-packed generic platform for environmental systems modeling.
Commonly, integrated modeling refers to the coupling mechanism used to automate the data transfer between different linked models. However, such an application, or any standalone model for that matter, requires extensive pre and post-processing for simulation. For instance, many environmental models lack advanced analysis and graphing tools, forcing the user to export the outputs to another software after each run. URUNME was developed with the goal to not only enable standalone or coupled operations of various models, but to automate the entire simulation process – creating inputs from different data sources, reading outputs, analyzing data, making statistical inferences and ultimately showing results in a visually-aesthetic and interactive way. It serves as an intelligent layer between the users, models, and data sources, practically hiding the underlying mechanics of the complex simulation process.
Dr. Adnan Lodhi
Adnan has a PhD in Civil Engineering and currently working at Kayuga Solution in California. His professional journey of 20 years has included responsibilities with various multinational companies focusing on environmental engineering. He is a passionate software programmer and have written software in various computer languages. His postgraduate research was focused on the biochemical modeling coupled with asset management analysis, which led him to develop an intelligent process simulator, and risk assessment software, called IViewOps (Intelligent View of Operations). As part of his PhD research, he has developed URUNME for integrated modeling to automate coupling, data analysis, statistics, visualization, scenario management and decision support systems.
Dr. Ayden Baran
Ayden has a PhD in Civil Engineering. He is passionate about environmental systems modeling. Currently focused on water resources engineering with special interest in the application of Digital Twin Technology for water resources and water and wastewater (wet) infrastructure.
Dr. Adil Godrej
Adil has a PhD in Civil Engineering. He is an Associate Professor and Co-Director of Occoquan Watershed Monitoring Laboratory at Virginia Tech. His primary interests are Environmental modeling and simulation, and non-point pollution monitoring and control.
Dr. Dipankar Sen
Dipankar has a PhD in Civil Engineering. He is currently working as a Senior Advisor at Santa Clara Valley Water District, San Jose, CA. and also serves as an Adjunct Professor at Virginia Tech. His primary interests are biochemical process modeling and asset management.
Dr. John Little
John has a PhD in Environmental Engineering. He is a Charles E. Via, Jr. Professor at Virginia Tech. His primary interests are cross-media mass transfer and process dynamics in environmental systems. His current focus is on managing water quality in lakes and reservoirs.
Upper Occoquan Service Authority (UOSA)
Bob is currently working as Deputy Executive Director at UOSA. His primary interests are innovative and emerging new solutions for asset management, collection, treatment and distribution for water/wastewater utilities especially for those engaged in potable water reuse.