scholarly journals Application of the WetSpa distributed hydrological model for catchment with significant contribution of organic soil. Upper Biebrza case study

2011 ◽  
Vol 43 (1) ◽  
Author(s):  
Chormański Jarosław ◽  
Okke Batelaan
Keyword(s):  
Significant Contribution ◽  
Hydrological Model ◽  
Organic Soil ◽  
Distributed Hydrological Model

scholarly journals PUBs for Engineering Purpose: Framework Development and Case Study

10.29007/9kpv ◽  
2018 ◽  
Author(s):  
Yang Zhiyong ◽  
Gao Xichao ◽  
Liu Jiahong
Keyword(s):  
Hydrological Model ◽  
Potential Evapotranspiration ◽  
Meteorological Data ◽  
Distributed Hydrological Model ◽  
Runoff Simulation ◽  
Annual Average ◽  
Sensing Technology ◽  
Watershed Method ◽  
Predictions In Ungauged Basins

A framework of predictions in ungauged basins (PUBs, taking Paniai lakes watershed, Indonesia as an example) for hydropower exploration is developed. In this framework, remote sensing technology and similar watershed method are used to collect necessary meteorological and topographical data for runoff simulation. Besides, a modified physical based distributed hydrological model is developed to consider the characteristics (regulation capacity of the lakes) of the watershed. Finally, considering the modeling purpose, annual average runoff index is used to assess the modeling results. In the case study (Paniai lakes watershed), TRMM precipitation, HWSD soil type, and AVHRR landcover data, combined with meteorological data from two similar watersheds, are collected to drive the modified hydrological model. According to the model results, the simulated potential evapotranspiration capacities and annual average runoff coefficients are consistent between the two cases (modeling with meteorological data of the two similar watersheds), and the simulated annual average runoff coefficients of the two cases are basically consistent with the observed annual average runoff coefficient of another similar watershed located in Indonesia.

scholarly journals Baseflow representation module on MODCEL

RBRH ◽  
2018 ◽  
Vol 23 ◽  
Author(s):  
Pedro Lucas Cosmo de Brito ◽  
Marcelo Gomes Miguez ◽  
José Paulo Soares de Azevedo
Keyword(s):  
Groundwater Flow ◽  
Significant Contribution ◽  
Hydrological Model ◽  
Calibration Procedure ◽  
Coefficient Of Determination ◽  
Rainfall Runoff ◽  
Flood Events ◽  
Infiltration Process ◽  
Previous Version

ABSTRACT The land use characteristics of rural watersheds allow infiltration and consequent generation of groundwater flow, which constitutes a significant contribution to the hydrograph. Prior to this study, the MODCEL-COPPE/UFRJ model simulated only runoff, disregarding the losses occurred in rainfall-runoff process. Therefore, its application was more appropriate to urban watersheds, simulating flood events where surface flows prevail. This study aimed at representing the infiltration process and at incorporating the groundwater flow in the MODCEL’s structure, making feasible the rural watersheds simulation thus expanding its applicability as a hydrological model. A case study was performed in a 417 km2 subcatchment of Piabanha River, located at Petrópolis/RJ. It’s a predominantly rural watershed, with 80% of its area covered by forests. The model represented satisfactorily the seasonality and the magnitude of simulated recharges. In the parameter calibration procedure gave a coefficient of determination R2 = 0.75, comparing the calculated flows to the observed flows. During validation period, we obtained a coefficient of determination R2 = 0.76. The fit obtained was superior to that obtained in previous modeling of the same watershed by SMAP and MODCEL (previous version) and it was similar to TOPMODEL. In the hydrograph recession, new MODCEL presented R2 = 0.75, against 0.52 obtained in its previous version.

scholarly journals Applying Deterministic Distributed Hydrological Model for Stream Flow Data Reproduction. A Case Study of Cu De Catchment, Vietnam

2016 ◽  
Vol 154 ◽  
pp. 1010-1017 ◽  
Author(s):  
Vo Ngoc Duong ◽  
Nguyen Quang Binh ◽  
Le Xuan Cuong ◽  
Qiang Ma ◽  
Philippe Gourbesville
Keyword(s):  
Stream Flow ◽  
Hydrological Model ◽  
Distributed Hydrological Model ◽  
Flow Data

scholarly journals Understanding dominant controls on streamflow spatial variability to set up a semi-distributed hydrological model: the case study of the Thur catchment

2020 ◽  
Vol 24 (3) ◽  
pp. 1319-1345
Author(s):  
Marco Dal Molin ◽  
Mario Schirmer ◽  
Massimiliano Zappa ◽  
Fabrizio Fenicia
Keyword(s):  
Spatial Variability ◽  
Model Building ◽  
Hydrological Model ◽  
Previous Analysis ◽  
Seasonal Patterns ◽  
Distributed Hydrological Model ◽  
Second Stage ◽  
Set Up ◽  
Predictions In Ungauged Basins

Abstract. This study documents the development of a semi-distributed hydrological model aimed at reflecting the dominant controls on observed streamflow spatial variability. The process is presented through the case study of the Thur catchment (Switzerland, 1702 km2), an alpine and pre-alpine catchment where streamflow (measured at 10 subcatchments) has different spatial characteristics in terms of amounts, seasonal patterns, and dominance of baseflow. In order to appraise the dominant controls on streamflow spatial variability and build a model that reflects them, we follow a two-stage approach. In a first stage, we identify the main climatic or landscape properties that control the spatial variability of streamflow signatures. This stage is based on correlation analysis, complemented by expert judgement to identify the most plausible cause–effect relationships. In a second stage, the results of the previous analysis are used to develop a set of model experiments aimed at determining an appropriate model representation of the Thur catchment. These experiments confirm that only a hydrological model that accounts for the heterogeneity of precipitation, snow-related processes, and landscape features such as geology produces hydrographs that have signatures similar to the observed ones. This model provides consistent results in space–time validation, which is promising for predictions in ungauged basins. The presented methodology for model building can be transferred to other case studies, since the data used in this work (meteorological variables, streamflow, morphology, and geology maps) are available in numerous regions around the globe.

scholarly journals Real-time flood forecasting coupling different postprocessing techniques of precipitation forecast ensembles with a distributed hydrological model. The case study of may 2008 flood in western Piemonte, Italy

2013 ◽  
Vol 13 (2) ◽  
pp. 211-220 ◽  
Author(s):  
D. Cane ◽  
S. Ghigo ◽  
D. Rabuffetti ◽  
M. Milelli
Keyword(s):  
Bayesian Model ◽  
Bayesian Model Averaging ◽  
Hydrological Model ◽  
Good Description ◽  
Model Averaging ◽  
Region Of Interest ◽  
Precipitation Forecast ◽  
Distributed Hydrological Model ◽  
Probabilistic Forecasts

Abstract. In this work, we compare the performance of an hydrological model when driven by probabilistic rain forecast derived from two different post-processing techniques. The region of interest is Piemonte, northwestern Italy, a complex orography area close to the Mediterranean Sea where the forecast are often a challenge for weather models. The May 2008 flood is here used as a case study, and the very dense weather station network allows us for a very good description of the event and initialization of the hydrological model. The ensemble probabilistic forecasts of the rainfall fields are obtained with the Bayesian model averaging, with the classical poor man ensemble approach and with a new technique, the Multimodel SuperEnsemble Dressing. In this case study, the meteo-hydrological chain initialized with the Multimodel SuperEnsemble Dressing is able to provide more valuable discharge ranges with respect to the one initialized with Bayesian model averaging multi-model.

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