scholarly journals Study on hydrological process simulation of lumped hydrological model in Wujiang River Basin

2021 ◽  
Vol 826 (1) ◽  
pp. 012028
Author(s):  
Guangru Sun ◽  
Jie Wen ◽  
Jinjin Yang ◽  
Siyu Hou ◽  
Weihua Zhang
2020 ◽  
Author(s):  
Gerald A Corzo P ◽  
Fabio Aguilar Carrillo ◽  
Juan Manuel Cotrino Palma ◽  
German Ricardo Santos Granados

<p><strong>Title: </strong></p><p>Evaluation of the spatio-temporal development of hydrological droughts and its sensitivity to the choice of different parameters of the hydrological model. Case study: Magdalena-Cauca River basin – Colombia</p><p><strong>Abstract: </strong></p><p>Droughts in Colombia have been studied using local and regional indicators; however, the nature of events and the heterogeneity of mountains, and the high variability of climate and hydrological process, indicate that this should follow a more dynamic spatiotemporal analysis. In previous studies about drought, it has been possible to identify how natural drought phenomena tend to spread irregularly through large regions. This research aims to develop a spatiotemporal evaluation of hydrological droughts in Colombia. The process of the analysis followed three main components, one estimating the drought indicator to the interpolated data set from the local agency IDEAM. This step aims to find the optimal combination of parameters sets to characterize the hydrological behavior; to determine standardized runoff, soil moisture and evaporation deficit indices (SRI, SSMI, SEDI respectively). Second, the determination of the patterns using the Contiguous Drought Area (CDA) and Non-Contiguous Drought Area (NCDA) methodologies to characterise the spatio-temporal behaviour of the hydrological droughts. And before concluding an assessment of the robustness of the drought events, a threshold sensitivity analysis was performed. The body of the study includes a complete conceptual framework with the definition of hydrological droughts and drought indices (DI). This methodology is based on the characterization spatiotemporal droughts that examines the patterns of events using results from previous studies. The results of this analysis are key for the preparedness of the region to extreme events.</p>


Proceedings ◽  
2018 ◽  
Vol 7 (1) ◽  
pp. 9
Author(s):  
Panagiota Venetsanou ◽  
Christina Anagnostopoulou ◽  
Athanasios Loukas ◽  
Konstantinos Voudouris

The importance of climate data in hydrological process simulation is widely recognized. Evaluation of the hydrological budget response to climate variability is required, especially in water resource management. The present paper illustrates a case study of a sensitivity analysis for the hydrological model SWAT (Soil and Water Assessment Tool) using climate data from the Havrias river basin in northern Greece. The ERA-Interim reanalysis daily climate data were used as input data to drive the SWAT model. The SWAT model was calibrated for the period from 1981 to 2000. The sensitivity of the hydrological parameters to the alteration of the climate data was analyzed by using eleven hypothetical scenarios. These scenarios regard different combinations of temperature, wind speed, precipitation, and relative humidity. The results show that the changes of precipitation temperature and relative humidity have a significant influence in evapotranspiration and percolation (and consequently recharge) in the study region. On the contrary, the wind speed negligibly affects the hydrological components. Overall, the Havrias river basin hydrological budget is sensitive to shifts in climate data and the utilization of reliable and accurate climate models outputs is necessary in order for water managers to be able to build scenarios providing sustainability against potential future climate change impacts.


Water ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 483
Author(s):  
Ümit Yıldırım ◽  
Cüneyt Güler ◽  
Barış Önol ◽  
Michael Rode ◽  
Seifeddine Jomaa

This study investigates the impacts of climate change on the hydrological response of a Mediterranean mesoscale catchment using a hydrological model. The effect of climate change on the discharge of the Alata River Basin in Mersin province (Turkey) was assessed under the worst-case climate change scenario (i.e., RCP8.5), using the semi-distributed, process-based hydrological model Hydrological Predictions for the Environment (HYPE). First, the model was evaluated temporally and spatially and has been shown to reproduce the measured discharge consistently. Second, the discharge was predicted under climate projections in three distinct future periods (i.e., 2021–2040, 2046–2065 and 2081–2100, reflecting the beginning, middle and end of the century, respectively). Climate change projections showed that the annual mean temperature in the Alata River Basin rises for the beginning, middle and end of the century, with about 1.35, 2.13 and 4.11 °C, respectively. Besides, the highest discharge timing seems to occur one month earlier (February instead of March) compared to the baseline period (2000–2011) in the beginning and middle of the century. The results show a decrease in precipitation and an increase in temperature in all future projections, resulting in more snowmelt and higher discharge generation in the beginning and middle of the century scenarios. However, at the end of the century, the discharge significantly decreased due to increased evapotranspiration and reduced snow depth in the upstream area. The findings of this study can help develop efficient climate change adaptation options in the Levant’s coastal areas.


2016 ◽  
Vol 20 (7) ◽  
pp. 2649-2667 ◽  
Author(s):  
Firas Saleh ◽  
Venkatsundar Ramaswamy ◽  
Nickitas Georgas ◽  
Alan F. Blumberg ◽  
Julie Pullen

Abstract. This paper investigates the uncertainties in hourly streamflow ensemble forecasts for an extreme hydrological event using a hydrological model forced with short-range ensemble weather prediction models. A state-of-the art, automated, short-term hydrologic prediction framework was implemented using GIS and a regional scale hydrological model (HEC-HMS). The hydrologic framework was applied to the Hudson River basin ( ∼  36 000 km2) in the United States using gridded precipitation data from the National Centers for Environmental Prediction (NCEP) North American Regional Reanalysis (NARR) and was validated against streamflow observations from the United States Geologic Survey (USGS). Finally, 21 precipitation ensemble members of the latest Global Ensemble Forecast System (GEFS/R) were forced into HEC-HMS to generate a retrospective streamflow ensemble forecast for an extreme hydrological event, Hurricane Irene. The work shows that ensemble stream discharge forecasts provide improved predictions and useful information about associated uncertainties, thus improving the assessment of risks when compared with deterministic forecasts. The uncertainties in weather inputs may result in false warnings and missed river flooding events, reducing the potential to effectively mitigate flood damage. The findings demonstrate how errors in the ensemble median streamflow forecast and time of peak, as well as the ensemble spread (uncertainty) are reduced 48 h pre-event by utilizing the ensemble framework. The methodology and implications of this work benefit efforts of short-term streamflow forecasts at regional scales, notably regarding the peak timing of an extreme hydrologic event when combined with a flood threshold exceedance diagram. Although the modeling framework was implemented on the Hudson River basin, it is flexible and applicable in other parts of the world where atmospheric reanalysis products and streamflow data are available.


2013 ◽  
Vol 13 (12) ◽  
pp. 3145-3156 ◽  
Author(s):  
M. Velasco ◽  
P. A. Versini ◽  
A. Cabello ◽  
A. Barrera-Escoda

Abstract. Global change may imply important changes in the future occurrence and intensity of extreme events. Climate scenarios characterizing these plausible changes were previously obtained for the Llobregat River basin (NE Spain). This paper presents the implementation of these scenarios in the HBV (Hydrologiska Byråns Vattenbalansavdelning) hydrological model. Then, the expected changes in terms of flash flood occurrence and intensity are assessed for two different sub-basins: the Alt Llobregat and the Anoia (Llobregat River basin). The assessment of future flash floods has been done in terms of the intensity and occurrence of extreme events, using a peak over threshold (POT) analysis. For these two sub-basins, most of the simulated scenarios present an increase of the intensity of the peak discharge values. On the other hand, the future occurrence follows different trends in the two sub-basins: an increase is observed in Alt Llobregat but a decrease occurs in Anoia. Despite the uncertainties that appear in the whole process, the results obtained can shed some light on how future flash floods events may occur.


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