scholarly journals Application of HBV Model in Hydrological Studies of Nepali River Basins: A Case Study

2012 ◽  
Vol 8 ◽  
pp. 38-43
Author(s):  
Subarna Shrestha ◽  
Knut Alfredsen
Keyword(s):  
Water Resources ◽  
Stream Flow ◽  
Hydrological Model ◽  
River Basins ◽  
Ungauged Catchments ◽  
Energy And Environment ◽  
Runoff Series ◽  
Water Resources Projects ◽  
Hbv Model

Ungauged basins are challenges for hydrological study, the key discipline to analyse for planning and the operation of water resources projects. Several river basins have no hydrologic measurements where there is feasibility of promising water resources schemes. This study deals with use of the Hydrologiska Byråns avdeling for Vattenbalans (HBV) hydrological model to generate stream flow time series and other hydrological variables. The model was calibrated successfully in the Sanghutar catchment of the Likhu River of Nepal, and then used to simulate runoff series at the proposed intake site of Likhu HEP, where the gauging station has not been installed. The model can be used to generate runoff of other ungauged catchments which have similar catchment characteristics.DOI: http://dx.doi.org/10.3126/hn.v8i0.4910 Hydro Nepal: Journal of Water, Energy and Environment Issue No. 8, 2011 JanuaryPage: 38-43Uploaded date: 17 June, 2011

Estimation of streams order according to strahler classification system using GIS. Case study: streams of the Republic of Moldova

2019 ◽  
Author(s):  
Ana Jeleapov ◽  
Keyword(s):  
Water Resources ◽  
Classification System ◽  
River Basins ◽  
Drainage Density ◽  
Drainage Network ◽  
Republic Of Moldova ◽  
Rivers And Streams ◽  
The Republic

The paper contains the results of classification of rivers and streams of the Republic of Moldova according to classic Strahler method. Mentioned method was applied to estimate the hierarchical rank of the stream segments situated in 50 pilot basins using modern GIS techniques and drainage network of the GIS for Water Resources of Moldova. It was estimated that the maximal order of segments is 7 specific for the Raut and Ialpug rivers. Overall, length of 1st order streams forms 50%, while that of 7th order streams - < 1%. Additionally, stream number and frequency as well as drainage density were calculated for pilot river basins.

scholarly journals A geostatistical spatially varying coefficient model for mean annual runoff that incorporates process-based simulations and short records

2021 ◽  
Author(s):  
Thea Roksvåg ◽  
Ingelin Steinsland ◽  
Kolbjørn Engeland
Keyword(s):  
Hydrological Model ◽  
Annual Runoff ◽  
Data Availability ◽  
Geostatistical Model ◽  
Ungauged Catchments ◽  
Varying Coefficient ◽  
Geostatistical Methods ◽  
Geostatistical Method ◽  
Spatially Varying ◽  
Hbv Model

Abstract. We present a Bayesian geostatistical model for mean annual runoff that incorporates simulations from a process-based hydrological model by treating the simulations as a covariate in the statistical model. The regression coefficient of the covariate is modeled as a spatial field such that the relationship between the covariate (simulations from a hydrological model) and the response variable (observed mean annual runoff) is allowed to vary within the study area. Hence, it is a spatially varying coefficient. A preprocessing step for including short records in the modeling is also suggested and we obtain a model that can exploit several data sources by using state of the art statistical methods. The geostatistical model is evaluated by predicting mean annual runoff for 1981–2010 for 127 catchments in Norway based on observations from 411 catchments. Simulations from the process-based HBV model on a 1 km × 1 km grid are used as input. We found that on average the proposed approach outperformed a purely process-based approach (HBV) when predicting runoff for ungauged and partially gauged catchments: The reduction in RMSE compared to the HBV model was 20 % for ungauged catchments and 58 % for partially gauged catchments, where the latter is due to the preprocessing step. For ungauged catchments the proposed framework also outperformed a purely geostatistical method with a 10 % reduction in RMSE compared to the geostatistical method. For partially gauged catchments however, purely geostatistical methods performed equally well or slightly better than the proposed combination approach. It is not surprising that purely geostatistical methods perform well in areas where we have data. In general, we expect the proposed approach to outperform geostatistics in areas where the data availability is low to moderate.

Model adequacy tests for improving predictions in ungauged basins

2020 ◽  
Author(s):  
Cristina Prieto ◽  
Nataliya Le Vine ◽  
Dmitri Kavetski ◽  
César Álvarez ◽  
Raúl Medina
Keyword(s):  
Time Series ◽  
Hydrological Model ◽  
Flow Time ◽  
Flow Index ◽  
Model Parameters ◽  
Ungauged Basins ◽  
Ungauged Catchments ◽  
Subsequent Work ◽  
Study Results

&lt;p&gt;Flow prediction in ungauged catchments is a major unresolved challenge in scientific and engineering hydrology. Meeting this challenge is made difficult by the uncertainty in the &amp;#8220;regionalization&amp;#8221; model used to transpose hydrological data (e.g., flow indices) from gauged to ungauged basins, and by the uncertainty in the hydrological model used to predict streamflow in the ungauged basin. This study combines recent advances in flow index selection, regionalization via machine learning methods, and a Bayesian inference framework. In addition, it proposes two new statistical metrics, &amp;#8220;DistanceTest&amp;#8221; and &amp;#8220;InfoTest&amp;#8221;, to assess the adequacy of a model before estimating its parameters. &amp;#8220;DistanceTest&amp;#8221; quantifies whether a model (hydrological or regionalization) is likely to reproduce the available hydrological information in a catchment. &amp;#8220;InfoTest&amp;#8221; is based on Bayes Factors and quantifies the information added by a model (hydrological or regionalization) over prior knowledge about the available hydrological information in a catchment). The proposed adequacy tests can be seen as a prerequisite for a model (hydrological or regionalization) being considered capable of providing meaningful and high quality flow time series predictions in ungauged catchments. If a model is found inadequate a priori and rejected, the modeler is spared the effort in estimating the model parameters, which can be a substantial saving.&lt;/p&gt;&lt;p&gt;The proposed regionalization approach is applied to 92 northern Spain catchments, with 16 catchments treated as ungauged. It is found that (1) a small number of PCs capture approximately 87% of variability in the flow indices, and (2) adequacy tests with respect to regionalized information are indicative of (but do not guarantee) the ability of a hydrological model to predict flow time series. The adequacy tests identify the regionalization of flow index PCs as adequate in 12 of 16 catchments but the hydrological model as adequate in only 1 of 16 catchments. In addition, the case study results suggest that the hydrological model is the main source of uncertainty in comparison to the regionalization model, and hence should receive the main priority in subsequent work at the case study catchments.&lt;/p&gt;

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

Classification Of Water Resources In River Basins With Lack Of Data: A Case Study In Southern Brazil

2010 ◽  
Author(s):  
João Batista Dias de Paiva ◽  
Eloiza Maria Cauduro D. de Paiva ◽  
Maria do Carmo Cauduro Gastaldini ◽  
Lorenza Oppa ◽  
Rodrigo Cauduro D. de Paiva
Keyword(s):  
Water Resources ◽  
River Basins ◽  
Southern Brazil

scholarly journals Integration by identification of indicators

2011 ◽  
Vol 7 (1) ◽  
pp. 55-60 ◽  
Author(s):  
V. Giannini ◽  
C. Giupponi
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
Driving Forces ◽  
Integrated Water Resources Management ◽  
River Basins ◽  
Resources Management ◽  
Research Activities ◽  
Local Actors ◽  
Integrated Indicators

Abstract. The objective of the BRAHMATWINN research component described in this chapter is to develop integrated indicators with relevance to Integrated Water Resources Management (IWRM) and climate change for the Upper Danube and the Upper Brahmaputra River Basins (UDRB and UBRB), and to foster the integration process amongst the different research activities of the project. Such integrated indicators aim at providing stakeholders, NGOs and GOs with an overview of the present state and trends of the river basins water resources, and at quantifying the impacts of possible scenarios and responses to driving forces, as well as pressures from likely climate change. In the process the relevant indicators have been identified by research partners to model and monitor issues relevant for IWRM in the case study areas. The selected indicators have been validated with the information gathered through the NetSyMoD approach (Giupponi et al., 2008) in workshops with local actors. In this way a strong link between the main issues affecting the basins as perceived by local actors and the BRAHMATWINN activities has been created, thus fostering integration between research outcomes and local needs.

scholarly journals Delineasi DAS dan Elemen Model Hidrologi Menggunakan HEC-HMS Versi 4.4

CANTILEVER ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 33-38
Author(s):  
M. Baitullah Al Amin ◽  
Mona Foralisa Toyfur ◽  
Widya Fransiska ◽  
Ayu Marlina
Keyword(s):  
Water Resources ◽  
Water Resource ◽  
Spatial Resolution ◽  
Essential Role ◽  
Hydrological Model ◽  
River Network ◽  
Hydrological Models ◽  
Watershed Delineation ◽  
Water Resources Projects

The watershed delineation process is needed and has an essential role in various water resource projects. This study aims to examine the GIS processing function embedded in the latest HEC-HMS software version 4.4 for the delineation of watershed and elements of the hydrological model. In comparison, watershed delineation was also carried out by using ArcGIS software. The area of study is the Bendung subbasin located in Palembang City, where terrain data used is a National DEM data with a spatial resolution of 8 m (0.27 arc-second). The results showed that the boundaries and area of the watershed produced by HEC-HMS 4.4 and ArcGIS showed the same characteristics. The river network produced by the two software shows a slight difference even though the flow patterns are similar. It shows that the level of accuracy and quality of the delineation produced by the HEC-HMS 4.4 is excellent. Besides, elements of the hydrological model can be generated automatically which is not found in previous versions. It allows users to more quickly simulate detailed hydrological models with a large number of elements. Therefore, the use of GIS functions in HEC-HMS 4.4 must be encouraged for various analysis purposes in water resources projects.

scholarly journals Uncertainty analysis in model parameters regionalization: a case study involving the SWAT model in Mediterranean catchments (Southern France)

2013 ◽  
Vol 10 (4) ◽  
pp. 4951-5011 ◽  
Author(s):  
H. Sellami ◽  
I. La Jeunesse ◽  
S. Benabdallah ◽  
N. Baghdadi ◽  
M. Vanclooster
Keyword(s):  
Model Prediction ◽  
Hydrological Model ◽  
Swat Model ◽  
Behavioral Model ◽  
Model Parameters ◽  
Ungauged Catchments ◽  
Southern France ◽  
Ungauged Catchment ◽  
Prediction Uncertainty

Abstract. In this study a method for propagating the hydrological model uncertainty in discharge predictions of ungauged Mediterranean catchments using a model parameter regionalization approach is presented. The method is developed and tested for the Thau catchment located in southern France using the SWAT hydrological model. Regionalization of model parameters based on physical similarity measured between gauged and ungauged catchments attributes is a popular methodology for discharge prediction in ungauged basins, but it is often confronted with an arbitrary criterion for selecting the "behavioral" model parameters sets (Mps) at the gauged catchment. A more objective method is provided in this paper where the transferrable Mps are selected based on the similarity between the donor and the receptor catchments. In addition, the method allows propagating the modeling uncertainty while transferring the Mps to the ungauged catchments. Results indicate that physically similar catchments located within the same geographic and climatic region may exhibit similar hydrological behavior and can also be affected by similar model prediction uncertainty. Furthermore, the results suggest that model prediction uncertainty at the ungauged catchment increases as the dissimilarity between the donor and the receptor catchments increases. The methodology presented in this paper can be replicated and used in regionalization of any hydrological model parameters for estimating streamflow at ungauged catchment.

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