scholarly journals Evaluation of water resources in a high-mountain basin in Serra da Estrela, Central Portugal, using a semi-distributed hydrological model

2010 ◽  
Vol 62 (6) ◽  
pp. 1219-1234 ◽  
Author(s):  
J. Espinha Marques ◽  
J. Samper ◽  
B. Pisani ◽  
D. Alvares ◽  
J. M. Carvalho ◽  
...  
Keyword(s):  
Water Resources ◽  
Hydrological Model ◽  
High Mountain ◽  
Distributed Hydrological Model ◽  
Central Portugal ◽  
Serra Da Estrela

Prediction of Surface Water Resources in Danjiangkou Basin Based on ESP and Distributed Hydrological Model

2021 ◽  
Author(s):  
Ruifang Yuan ◽  
Siyu Cai ◽  
Weihong Liao
Keyword(s):  
Surface Water ◽  
Water Resources ◽  
Hydrological Model ◽  
Water Transfer ◽  
Water Diversion ◽  
Distributed Hydrological Model ◽  
Danjiangkou Reservoir ◽  
Wetspa Model ◽  
Surface Water Resources ◽  
Verification Period

<p> The prediction of surface water resources in the Danjiangkou Basin is of great significance for the design of the water transfer plans for the South-to-North Water Diversion Project. However, it is difficult to obtain high-precision simulations for mid- and long-term hydrological forecasting. Based on the thought of extended streamflow prediction (ESP) and distributed hydrological models, this paper proposed a set of forecasting systems for predicting the annual surface water resources in the Danjiangkou Basin. Firstly,  the Wetspa model  was established to forecast the inflow of Danjiangkou reservoir. The Nash efficiency coefficients of the monthly average runoff during the calibration period (2006-2012) and verification period (2013-2016) were 0.97 and 0.95, respectively. Secondly, it was assumed that the rainfall of 2017 could be predicted by the rainfall forecasting model, then the rainfall process was obtained based on the ESP and the runoff process of the basin outlet was calculated through the Wetspa model. Finally, the predicted surface water resources of the Danjiangkou Basin in 2017 was 45.448 billion m<sup>3</sup>, and the actual surface water resources is 40.395 billion m<sup>3</sup>, with a relative error of 12.51%. The results showed that the prediction of surface water resources in Danjiangkou Basin based on ESP and distributed hydrological model could provide a certain reference for the design of water transfer plans of the Danjiangkou Reservoir.</p><p><strong>Key words: </strong>Water resources prediction; ESP; Wetspa model; Nash coefficient</p>

scholarly journals Technical note: Representing glacier geometry changes in a semi-distributed hydrological model

2018 ◽  
Vol 22 (4) ◽  
pp. 2211-2224 ◽  
Author(s):  
Jan Seibert ◽  
Marc J. P. Vis ◽  
Irene Kohn ◽  
Markus Weiler ◽  
Kerstin Stahl
Keyword(s):  
Hydrological Model ◽  
Technical Note ◽  
High Mountain ◽  
Hydrological Models ◽  
Distributed Hydrological Model ◽  
Mass Balances ◽  
Hydrological Simulation ◽  
Distributed Hydrological Models ◽  
Feasible Solutions ◽  
Glacier Advance

Abstract. Glaciers play an important role in high-mountain hydrology. While changing glacier areas are considered of highest importance for the understanding of future changes in runoff, glaciers are often only poorly represented in hydrological models. Most importantly, the direct coupling between the simulated glacier mass balances and changing glacier areas needs feasible solutions. The use of a complex glacier model is often not possible due to data and computational limitations. The Δh parameterization is a simple approach to consider the spatial variation of glacier thickness and area changes. Here, we describe a conceptual implementation of the Δh parameterization in the semi-distributed hydrological model HBV-light, which also allows for the representation of glacier advance phases and for comparison between the different versions of the implementation. The coupled glacio-hydrological simulation approach, which could also be implemented in many other semi-distributed hydrological models, is illustrated based on an example application.

scholarly journals Assessment of surface water resources availability using catchment modelling and the results of tracer studies in the mesoscale Migina Catchment, Rwanda

2014 ◽  
Vol 18 (12) ◽  
pp. 5289-5301 ◽  
Author(s):  
O. Munyaneza ◽  
A. Mukubwa ◽  
S. Maskey ◽  
S. Uhlenbrook ◽  
J. Wenninger
Keyword(s):  
Decision Making ◽  
Water Resources ◽  
Hydrological Model ◽  
Model Parameters ◽  
Water Resources Planning ◽  
Distributed Hydrological Model ◽  
Hydrograph Separation ◽  
Catchment Scale ◽  
Streamflow Data ◽  
Resources Planning

Abstract. In the present study, we developed a catchment hydrological model which can be used to inform water resources planning and decision making for better management of the Migina Catchment (257.4 km2). The semi-distributed hydrological model HEC-HMS (Hydrologic Engineering Center – the Hydrologic Modelling System) (version 3.5) was used with its soil moisture accounting, unit hydrograph, liner reservoir (for baseflow) and Muskingum–Cunge (river routing) methods. We used rainfall data from 12 stations and streamflow data from 5 stations, which were collected as part of this study over a period of 2 years (May 2009 and June 2011). The catchment was divided into five sub-catchments. The model parameters were calibrated separately for each sub-catchment using the observed streamflow data. Calibration results obtained were found acceptable at four stations with a Nash–Sutcliffe model efficiency index (NS) of 0.65 on daily runoff at the catchment outlet. Due to the lack of sufficient and reliable data for longer periods, a model validation was not undertaken. However, we used results from tracer-based hydrograph separation from a previous study to compare our model results in terms of the runoff components. The model performed reasonably well in simulating the total flow volume, peak flow and timing as well as the portion of direct runoff and baseflow. We observed considerable disparities in the parameters (e.g. groundwater storage) and runoff components across the five sub-catchments, which provided insights into the different hydrological processes on a sub-catchment scale. We conclude that such disparities justify the need to consider catchment subdivisions if such parameters and components of the water cycle are to form the base for decision making in water resources planning in the catchment.

scholarly journals Projected impacts of climate change on groundwater and stormflow in a humid, tropical catchment in the Ugandan Upper Nile Basin

2010 ◽  
Vol 7 (2) ◽  
pp. 1913-1944 ◽  
Author(s):  
D. G. Kingston ◽  
R. G. Taylor
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
Air Temperature ◽  
Climate Sensitivity ◽  
Hydrological Model ◽  
Distributed Hydrological Model ◽  
Nile Basin ◽  
Depth Analysis ◽  
Global Mean ◽  
Impacts Of Climate Change

Abstract. The changing availability of freshwater resources is likely to be one of the most important consequences of projected 21st century climate change for both human and natural systems. However, substantial uncertainty remains regarding the precise impacts of climate change on water resources, due in part to uncertainty in GCM projections of climate change. Here we explore the potential impacts of climate change on water resources in a humid, tropical catchment (the River Mitano) in the Upper Nile Basin of Uganda. Uncertainty associated with GCM structure and climate sensitivity is explored, as well as from parameter specification within hydrological models. This is achieved by running pattern-scaled GCM output through a semi-distributed hydrological model (developed using SWAT) of the catchment. Importantly, use of pattern-scaled GCM output allows investigation of specific thresholds of global climate change including the purported 2 °C threshold of "dangerous" climate change. In-depth analysis of results based on HadCM3 climate scenarios shows that annual river discharge first increases, then declines with rising global mean air temperature. A coincidental shift from a bimodal to unimodal discharge regime also results from a projected reduction in baseflow (groundwater discharge). Both of these changes occur after a 4 °C rise in global mean air temperature. These results are, however, highly GCM dependent in both the magnitude and direction of change. This dependence stems primarily from projected differences in GCM scenario precipitation rather than temperature. GCM-related uncertainty is far greater than that associated with climate sensitivity or hydrological model parameterisation.

scholarly journals The Development Trend and Research Frontiers of Distributed Hydrological Models—Visual Bibliometric Analysis Based on Citespace

Water ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 174
Author(s):  
Fangling Qin ◽  
Ying Zhu ◽  
Tianqi Ao ◽  
Ting Chen
Keyword(s):  
Water Resources ◽  
Hydrological Model ◽  
Field Research ◽  
Development Trend ◽  
The United States ◽  
Hydrological Process ◽  
Hydrological Models ◽  
Distributed Hydrological Model ◽  
High Resolution Data ◽  
Distributed Hydrological Models

Based on the bibliometric and data visualization analysis software Citespace, this study carried out document statistics and information mining on the Web of Science database and characterized the distributed hydrological model knowledge system from 1986 to 2019. The results show a few things: (1) from 1986 to 2019, the United States and China accounted for 41% of the total amount of publications, and they were the main force in the field of distributed hydrological model research; (2) field research involves multiple disciplines, mainly covering water resources, geology, earth sciences, environmental sciences, ecology and engineering; (3) the frontier of field research has shifted from using distributed hydrological models in order to simulate runoff and nonpoint source environmental responses to the coupling of technologies and products that can obtain high-precision, high-resolution data with distributed hydrological models. (4) Affected by climate warming, the melting of glaciers has accelerated, and the spatial distribution of permafrost and water resources have changed, which has caused a non-negligible impact on the hydrological process. Therefore, the development of distributed hydrological models suitable for alpine regions and the response of hydrological processes to climate change have also become important research directions at present.

scholarly journals Simulation of Extreme Hydrometeorological Events under Tropical Conditions Using a Distributed Hydrological Model

10.29007/qht4 ◽  
2018 ◽  
Author(s):  
Sara Patricia Ibarra-Zavaleta ◽  
Annie Poulin ◽  
Mariana Castañeda-Gonzalez ◽  
Rosario Landgrave ◽  
Rabindranarth Romero-Lopez ◽  
...  
Keyword(s):  
Water Resources ◽  
Gulf Of Mexico ◽  
Sustainable Management ◽  
Goodness Of Fit ◽  
Hydrological Model ◽  
Climatic Conditions ◽  
Distributed Hydrological Model ◽  
Calibration Process ◽  
Tropical Conditions ◽  
Streamflow Simulation

Change in climatic conditions worldwide has increased the frequency and severity of extreme hydrometeorological events (EHEs). Mexico is an example of this: the country has been affected by the occurrence of EHEs leading to important economic, social, and environmental losses. The objective of this investigation was to apply a Canadian Distributed Hydrological Model (DHM) to tropical conditions, and to evaluate its capacity to simulate flows in a basin in the central Gulf of Mexico. Additionally, we used this calibrated and validated DHM to predict streamflow before the occurence of an EHEs. The results of the DHM show satisfactory goodness-of-fit indicators between the observed and simulated flows in the calibration process (NSE=0.83, RSR=0.41 and BIAS=-4.3), as well as its validation (NSE=0.775, RSR=0.4735 and BIAS=2.45). The DHM showed its applicability to streamflow simulation and confirmed a reliable efficiency in the modeling of thirteen EHEs (NSE=0.78 ± 0.13, RSR=0.46 ± 0.14, and PBIAS=-0.48 ± 7.5). DHM can serve as a tool to identify vulnerabilities before floods and assist in devising more rational and sustainable management of water resources.

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