Method of Prediction the Stream Flows in Poorly Gauged and Ungauged Basins

Abstract

The underlying principles and content of new technology for automated hydrological predictions of poorly gauged and ungauged basins were reviewed herein. Basin classification principles depending on the availability and spatial-temporal discreteness of the observations of meteorological and hydrological variables were proposed. The prediction procedure for large river systems insufficiently covered by hydrometeorological survey was outlined. The prediction methodology for Sông Sê San river basin, which is the left tributary of Mekong river, was tested. The possible options for preliminary calibration and validation of MLCM3 predictive model (Multi-Layer Conceptual Model, 3 rd generation), developed within the framework of set task, were described. The software, implementing the streamflow prediction method for ungauged and poorly gauged special basins of large rivers tributaries, was tested.

Designing Eco‐Friendly Water Intake Portfolios in a Tropical Andean Stream Network

“…Estimation of monthly streamflow for all water intake study basins is of practical interest for sustainable and optimal water management. We recognize that substantial advances in flow predictions in poorly gauged and ungauged catchments have been made (Alipour & Kibbler, 2018;Kuzmin et al, 2019;Nepal et al, 2017). For example, methods based on regionalization techniques (e.g., Kult et al, 2014;Pumo et al, 2016;Tegegne & Young-Oh, 2018) are important tools, yet their application may be limited in areas with low density of climatic/hydrologic data.…”