Development of HydroClimatic Conceptual Streamflow (HCCS) model for tropical river basin

2013 ◽  
Vol 5 (1) ◽  
pp. 36-60 ◽  
Author(s):  
Parag P. Bhagwat ◽  
Rajib Maity
Keyword(s):  
Land Surface ◽  
Methodological Approach ◽  
Combined Processes ◽  
Time Varying ◽  
Surface Hydrology ◽  
Daily Streamflow ◽  
Proposed Model ◽  
Ground Water Recharge ◽  
Basin Scale ◽  
Water Recharge

Combined processes of land-surface hydrology and hydroclimatology influence the response of a watershed to different hydroclimatic variables. In this paper, streamflow response of a watershed to hydrometeorological variables is investigated over a part of two tropical Indian rivers – Narmada and Mahanadi. The proposed HydroClimatic Conceptual Streamflow (HCCS) model is able to consider the time-varying basin characteristics and major hydrologic processes to model basin-scale streamflow using climate inputs at a daily scale. In addition, the proposed model is able to provide additional overall estimates of ground water recharge component and evapotranspiration component from the entire basin. Moreover, ability to consider the time-varying watershed characteristics and hydroclimatic inputs renders the proposed model usable for assessment of future streamflow variation. This application is also investigated for both the study basins. In general, the methodological approach of the proposed model can be applied to other tropical basins for daily streamflow modelling as well as future streamflow assessment.

scholarly journals A Revised Hydrology for the ECMWF Model: Verification from Field Site to Terrestrial Water Storage and Impact in the Integrated Forecast System

2009 ◽  
Vol 10 (3) ◽  
pp. 623-643 ◽  
Author(s):  
Gianpaolo Balsamo ◽  
Anton Beljaars ◽  
Klaus Scipal ◽  
Pedro Viterbo ◽  
Bart van den Hurk ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Soil Texture ◽  
Land Surface ◽  
Model Verification ◽  
Field Site ◽  
Forecast System ◽  
Surface Hydrology ◽  
Near Surface ◽  
Basin Scale ◽  
Terrestrial Water

Abstract The Tiled ECMWF Scheme for Surface Exchanges over Land (TESSEL) is used operationally in the Integrated Forecast System (IFS) for describing the evolution of soil, vegetation, and snow over the continents at diverse spatial resolutions. A revised land surface hydrology (H-TESSEL) is introduced in the ECMWF operational model to address shortcomings of the land surface scheme, specifically the lack of surface runoff and the choice of a global uniform soil texture. New infiltration and runoff schemes are introduced with a dependency on the soil texture and standard deviation of orography. A set of experiments in stand-alone mode is used to assess the improved prediction of soil moisture at the local scale against field site observations. Comparison with basin-scale water balance (BSWB) and Global Runoff Data Centre (GRDC) datasets indicates a consistently larger dynamical range of land water mass over large continental areas and an improved prediction of river runoff, while the effect on atmospheric fluxes is fairly small. Finally, the ECMWF data assimilation and prediction systems are used to verify the effect on surface and near-surface quantities in the atmospheric-coupled mode. A midlatitude error reduction is seen both in soil moisture and in 2-m temperature.

A Methodological Framework to Combine Multiple Precipitation Datasets for Improving Streamflow Simulations: A test study in the Saskatchewan River basin, Canada

2020 ◽  
Author(s):  
Jefferson Wong ◽  
Fuad Yassin ◽  
James Famiglietti
Keyword(s):  
River Basin ◽  
Land Surface ◽  
Large River ◽  
Combination Method ◽  
Methodological Framework ◽  
Surface Hydrology ◽  
Test Study ◽  
Basin Scale ◽  
Precipitation Estimation

<p>Obtaining reliable precipitation measurements and accurate spatiotemporal distribution of precipitation remains as a challenging task for driving Hydrologic-Land Surface Models (H-LSMs) and better hydrological simulations and predictions. To further improve the accuracy of precipitation estimation for hydrological applications, the idea of generating a hybrid dataset by combining existing precipitation products has become a more appealing approach in recent years. The reliability of the hybrid dataset is evaluated against in-situ climate stations and error characteristics are calculated to compare to the existing products. However, the robustness of the hybrid dataset in representing spatial details could be problematic when evaluated only using a sparse network of in-situ observations at regional or basin scales. This study aims to develop a methodological framework that combines multiple precipitation products based on evaluation against not only climate stations but also streamflow stations that are spatially representative across large river basin. The framework is illustrated using a Canadian H-LSM named MESH (Modélisation Environmentale communautaire - Surface Hydrology) in the Saskatchewan River basin, Canada over the period of 2002 to 2012. Five existing precipitation datasets are considered as the candidates for generating the hybrid dataset. The framework consists of three components. The first component evaluates each precipitation candidate against the local gauge data for benchmarking, runs each candidate through MESH with 10 km spatial resolution and default parameterization, and calculates the overall streamflow performance in each sub-basins with equal weighting of three evaluation metrics. The second component generates the hybrid dataset by combining the best performing candidates (annual or seasonal) at sub-basin scale. The third component assesses the performance of the hybrid dataset at downstream gauge stations along the mainstream as a validation mechanism for comparison with the performance of the candidate datasets. Results shows that the hybrid dataset is able to perform equally well with the existing precipitation products in the headwater while improve the streamflow performance downstream. The successful application of the framework in this river basin could build the foundation and the confidence in applying the combination method to data-limited river basins in northern Canada.</p>

PRO-GRADE: GIS Toolkits for Ground Water Recharge and Discharge Estimation

Ground Water ◽  
2009 ◽  
Vol 47 (1) ◽  
pp. 122-128 ◽  
Author(s):  
Yu-Feng Lin ◽  
Jihua Wang ◽  
Albert J. Valocchi
Keyword(s):  
Ground Water ◽  
Ground Water Recharge ◽  
Water Recharge ◽  
Discharge Estimation

scholarly journals Renewable Energy Technologies for Energy Efficient Buildings: The Case of Kuwait

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4440
Author(s):  
Bader Alshuraiaan
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Solar Energy ◽  
Energy Savings ◽  
Methodological Approach ◽  
Investment Efficiency ◽  
Renewable Energy Technologies ◽  
Energy Technologies ◽  
Energy Efficient Buildings ◽  
Proposed Model

The purpose of this study is to identify the most relevant renewable energy technologies for buildings and to assess the effectiveness of their implementation in the long term for Kuwait. Methods of analogies and comparisons were used to determine the features of energy efficiency based on the technologies under study. The study proposes the methodological approach to assessing the effectiveness of the introduction of renewable energy technologies, determining the direction of increasing the energy efficiency of buildings and the investment efficiency of introducing these technologies. Renewable energy efficiency analysis for buildings in Kuwait confirms that solar energy systems have been the most widely available for widespread use of solar energy over the past three years. An increasing level of energy efficiency with a decrease in the notional cost of increasing energy savings is characteristic of solar collectors with booster reflectors. The proposed model for assessing the level of energy saving provides an opportunity for economic justification of introducing renewable energy technology in buildings.

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