Improving prediction of extreme reservoir inflow by enhancing the estimation of loss coefficients in HEC-HMS using Satellite-based Soil Moisture Products
Abstract
HEC-HMS is the modeling system most commonly used by water management agencies across the U.S. Agencies, including the Army Corps of Engineers and river authorities, routinely use HEC-HMS for predicting reservoir inflows, which are the basis for release decisions. When configuring HEC-HMS for event simulations, it is a challenge to determine the appropriate loss parameters for the model, particularly during events following a prolonged period of drought or successive pulses of heavy rain. To address this challenge, the research team considers a framework that produces near real-time soil moisture products using the NASA Land Information System (LIS) and by assimilating Soil Moisture Active Passive (SMAP) soil moisture products. The framework further employs a regression-based method to predict loss parameters using soil moisture in conjunction with observed streamflow at upstream stations. This framework also allows real-time update of the loss parameters during operation. The framework will be demonstrated on select river basins in Texas.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFM.H31F..01Z
- Keywords:
-
- 1812 Drought;
- HYDROLOGY;
- 1817 Extreme events;
- HYDROLOGY;
- 1821 Floods;
- HYDROLOGY;
- 1855 Remote sensing;
- HYDROLOGY