River Run Time Estimation Using Stream Gauge Data
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Solution Overview
Problem
Existing solutions for traveling via waterways fail to provide accurate time estimates for traversing a certain distance or distance estimates within specific time constraints, limiting logistical planning for watercraft users.
Innovation Solution
A system and method utilizing water velocity forecasts, historical, and real-time data from stream gauges to estimate the time and distance of travel between put-in and take-out locations on a waterway, incorporating sensors and computing devices to provide interactive maps and scheduling services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional waterway travel methods are used, then simplicity of operation is maintained, but accuracy of time and distance estimates deteriorates
Solution Approach 1:
The system integrates multiple functions into a single platform: streamflow data collection, velocity calculation, time estimation, distance calculation, and trip planning all work together. The stream gauge system serves both environmental monitoring and travel planning purposes, while the computing device handles data processing, visualization, and user interaction simultaneously.
Solution Approach 2:
The system introduces intermediate computational elements (velocity forecasts, hydraulic calculations) between the raw streamflow data and the final travel estimates. These intermediaries transform complex hydrological data into user-friendly time and distance predictions through standardized algorithms.
2Reliability
If comprehensive data collection is implemented, then reliability of travel estimates is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary data collection and processing by stream gauges that continuously monitor streamflow, elevation, and hydraulic conditions before travel planning is needed. This advance data gathering creates a ready database of hydrological conditions that can be quickly queried for trip planning without requiring complex real-time measurements.
Solution Approach 2:
The system incorporates feedback loops where travel estimates are continuously refined using actual travel data, streamflow measurements, and user corrections. This feedback mechanism improves reliability over time by adjusting velocity forecasts and calculation parameters based on real-world performance.
Data Source
AI summary
A method to enable travel on a waterway. Here, a river run request is received from a user device. The river run request is associated with travel on a waterway and includes a user's desired time, put-in location, and take-out location. The user device includes a user interface. A river section positioned between the put-in location and the take-out location is determined. A velocity estimate associated with the river section is determined. A mileage for the river run request is determined using the desired time and the velocity estimate. A time of float is determined using the mileage and the velocity estimate. One or more of the mileage and the time of float is transmitted to the user interface for conveyance thereon. A slope between the put-in location and the take-out location is determined. The velocity estimate is determined using a hydraulic radius, the slope, and a roughness factor.