Overview
New York State Department of Transportation’s (NYSDOT) large culvert network is experiencing an increased rate of failure during severe storm events, in part due to a well-documented increase in the intensity and frequency of such events. This project builds on the C2SMART research team’s previous work with NYSDOT developing a system-level assessment of culvert infrastructure resiliency. By better characterizing infrastructure system risk due to severe storms, it will inform NYSDOT’s capital programming decisions.
Research Objectives
The purpose of this study is to create a decision support tool for real-time estimates of large culvert sites most likely to exceed storm capacity based on national weather forecast models and satellite estimated soil moisture levels. This effort will develop hydraulic models for corridor level disruption across multiple structures, expand the logic to analysis and modeling of the state road transportation network, and calibrate the hydrologic model.
Specific tasks include the following:
– Real-time Risk. The team is developing a proof-of-concept tool for real-time estimates of large culverts most likely to exceed storm capacity.
– Corridor Risk. The team is developing hydraulic models for corridor-level disruption across multiple structures. The initial step will determine joint and cascading risk potential across multiple sites. The next step will expand the logic to analysis and modeling of the state road network.
– Hydrologic Model Calibration. The team is using catchment data to evaluate the suitability of three commonly used NYSDOT models (Rational Method, NRCS method, and StreamStats).
