Grid Based Services and Tools for Hydrological Model Processing and Visualization

2011 ◽  
Author(s):  
Victor Bacu ◽  
Danut Mihon ◽  
Teodor Stefanut ◽  
Denisa Rodila ◽  
Dorian Gorgan ◽  
...  
Keyword(s):  
Hydrological Model ◽  
Grid Based

Hydrological modelling and anthropogenic water use

2021 ◽  
Author(s):  
Ponnambalam Rameshwaran ◽  
Ali Rudd ◽  
Vicky Bell ◽  
Matt Brown ◽  
Helen Davies ◽  
...  
Keyword(s):  
Climate Change ◽  
Water Use ◽  
Hydrological Model ◽  
Model Performance ◽  
River Flows ◽  
Discharge Data ◽  
New Approach ◽  
Water Demands ◽  
The Impact ◽  
Grid Based

<p>Despite Britain’s often-rainy maritime climate, anthropogenic water demands have a significant impact on river flows, particularly during dry summers. In future years, projected population growth and climate change are likely to increase the demand for water and lead to greater pressures on available freshwater resources.</p><p>Across England, abstraction (from groundwater, surface water or tidal sources) and discharge data along with ‘Hands off Flow’ conditions are available for thousands of individual locations; each with a licence for use, an amount, an indication of when abstraction can take place, and the actual amount of water abstracted (generally less than the licence amount). Here we demonstrate how these data can be used in combination to incorporate anthropogenic artificial influences into a grid-based hydrological model. Model simulations of both high and low river flows are generally improved when abstractions and discharges are included, though for some catchments model performance decreases. The new approach provides a methodological baseline for further work investigating the impact of anthropogenic water use and projected climate change on future river flows.</p>

A grid-based distributed hydrological model for coal mined-out area

2020 ◽  
Vol 588 ◽  
pp. 124990 ◽  
Author(s):  
Meihong Ma ◽  
Lei Wen ◽  
Sijia Hao ◽  
Gang Zhao ◽  
Minpei Zhou ◽  
...  
Keyword(s):  
Hydrological Model ◽  
Distributed Hydrological Model ◽  
Grid Based

scholarly journals Operational aspects of asynchronous filtering for hydrological forecasting

2015 ◽  
Vol 12 (3) ◽  
pp. 3169-3203 ◽  
Author(s):  
O. Rakovec ◽  
A. H. Weerts ◽  
J. Sumihar ◽  
R. Uijlenhoet
Keyword(s):  
Ensemble Kalman Filter ◽  
Hydrological Model ◽  
Hydrological Forecasting ◽  
Soil Moisture Storage ◽  
Operational Forecasting ◽  
Model Update ◽  
Moisture Storage ◽  
Forward Integration ◽  
Grid Based ◽  
Operational Aspects

Abstract. This study investigates the suitability of the Asynchronous Ensemble Kalman Filter (AEnKF) and a partitioned updating scheme for hydrological forecasting. The AEnKF requires forward integration of the model for the analysis and enables assimilation of current and past observations simultaneously at a single analysis step. The results of discharge assimilation into a grid-based hydrological model for the Upper Ourthe catchment in the Belgian Ardennes show that including past predictions and observations in the data assimilation method improves the model forecasts. Additionally, we show that elimination of the strongly non-linear relation between the soil moisture storage and assimilated discharge observations from the model update becomes beneficial for improved operational forecasting, which is evaluated using several validation measures.

scholarly journals APPLICATION OF A MACRO GRID BASED HYDROLOGICAL MODEL TO THE HUAIHE RIVER BASIN IN CHINA

2001 ◽  
Vol 45 ◽  
pp. 127-132 ◽  
Author(s):  
Y. TACHIKAWA ◽  
T. KAWAKAMI ◽  
Y. ICHIKAWA ◽  
M. SHIIBA ◽  
K. TAKARA
Keyword(s):  
River Basin ◽  
Hydrological Model ◽  
Huaihe River Basin ◽  
Huaihe River ◽  
The Huaihe River ◽  
Grid Based
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