A Framework to Regionalize Flow Information in a Catchment with Limited Hydrological Data  

作　　者：Misigo W. S. Angalika Seiji Suzuki Wataru Tanaka Huynh V. Vu Tomoaki Itayama Misigo W. S. Angalika;Seiji Suzuki;Wataru Tanaka;Huynh V. Vu;Tomoaki Itayama(Department of Advanced Engineering, University, Nagasaki University, Nagasaki City, Japan)

机构地区：[1]Department of Advanced Engineering, University, Nagasaki University, Nagasaki City, Japan

出　　处：《Open Journal of Modern Hydrology》2023年第1期22-51,共30页现代水文学期刊（英文）

摘　　要：This paper describes a framework for mapping flow information from a single gauge to the 9-ungauged river basins with distinct attributes. To establish the basic watershed characteristics at the gauged site, a hydrologic model was calibrated and validated against the historical continuous discharge dataset. The framework was then applied to account for the two watersheds’ proportionality in their similarity, such as the influence of land use on transplanting flow signatures to the ungauged site. Three land-use scenarios-discharges at the ungauged and gauged sites formed the basis of an equation mapping the gauged discharge signal to the ungauged site. In comparison with intermittent observed data, the framework prediction attained a precision of 0.85 ≥ NSE ≤ 0.95, 0.80 ≥ R² ≤ 0.94, 0.56 ≥ bR² ≤ 0.89. Despite considerable differences in the watershed area, slope, soils, and land cover, the framework satisfactorily depicted the variation in flow pulses at each of the 9 ungauged discharge sites. In the absence of sufficient hydrological information, for example, the presence of a single gauge, the framework provides an alternative method to estimate flow at ungauged sites, reducing uncertainties in the regionalization of model parameters.This paper describes a framework for mapping flow information from a single gauge to the 9-ungauged river basins with distinct attributes. To establish the basic watershed characteristics at the gauged site, a hydrologic model was calibrated and validated against the historical continuous discharge dataset. The framework was then applied to account for the two watersheds’ proportionality in their similarity, such as the influence of land use on transplanting flow signatures to the ungauged site. Three land-use scenarios-discharges at the ungauged and gauged sites formed the basis of an equation mapping the gauged discharge signal to the ungauged site. In comparison with intermittent observed data, the framework prediction attained a precision of 0.85 ≥ NSE ≤ 0.95, 0.80 ≥ R² ≤ 0.94, 0.56 ≥ bR² ≤ 0.89. Despite considerable differences in the watershed area, slope, soils, and land cover, the framework satisfactorily depicted the variation in flow pulses at each of the 9 ungauged discharge sites. In the absence of sufficient hydrological information, for example, the presence of a single gauge, the framework provides an alternative method to estimate flow at ungauged sites, reducing uncertainties in the regionalization of model parameters.

关 键 词：Prediction UNCERTAINTY REGIONALIZATION MAPPING Transplanting Flow Signatures 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]