Analysis of the effect of climate change on the Nakdong river stream flow using indicators of hydrological alteration

Lee, Ayeon; Cho, Seonju; Kang, Doo Kee; Kim, Sangdan

doi:10.1016/j.jher.2013.09.003

Cited by 44 publications

(16 citation statements)

References 15 publications

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“…The tank model is a conceptual rainfall runoff model developed by Sugawara in 1961 [23]. The groundwater layer structure is modeled with tanks in the vertical direction to represent a watershed and perform a runoff analysis [24]. The tank models are intended to simulate either flood events or long-term runoff from a watershed, which is simulated by a combination of storage vessels.…”

Section: Tank Modelmentioning

confidence: 99%

Hydrological Modeling Approach Using Radar-Rainfall Ensemble and Multi-Runoff-Model Blending Technique

Lee

Kang

Joo

et al. 2019

Water

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The purpose of this study is to reduce the uncertainty in the generation of rainfall data and runoff simulations. We propose a blending technique using a rainfall ensemble and runoff simulation. To create rainfall ensembles, the probabilistic perturbation method was added to the deterministic raw radar rainfall data. Then, we used three rainfall-runoff models that use rainfall ensembles as input data to perform a runoff analysis: The tank model, storage function model, and streamflow synthesis and reservoir regulation model. The generated rainfall ensembles have increased uncertainty when the radar is underestimated, due to rainfall intensity and topographical effects. To confirm the uncertainty, 100 ensembles were created. The mean error between radar rainfall and ground rainfall was approximately 1.808–3.354 dBR. We derived a runoff hydrograph with greatly reduced uncertainty by applying the blending technique to the runoff simulation results and found that uncertainty is improved by more than 10%. The applicability of the method was confirmed by solving the problem of uncertainty in the use of rainfall radar data and runoff models.

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Section: Tank Modelmentioning

confidence: 99%

Hydrological Modeling Approach Using Radar-Rainfall Ensemble and Multi-Runoff-Model Blending Technique

Lee

Kang

Joo

et al. 2019

Water

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“…Yet, most of the recent research has focused on the streamflow alteration from an ecological point of view (Suen 2008;Doll and Zhang 2010;Kim et al 2011;Lee et al 2014;Mittal et al 2014;Stagl and Hattermann 2016) and not from a hydrological one. In addition, they did not consider to incorporate anthropogenic interventions, CC and drought event impacts within a comprehensive study.…”

Section: Introductionmentioning

confidence: 99%

Temporal Hydrologic Alterations Coupled with Climate Variability and Drought for Transboundary River Basins

Mohammed

Scholz

Zounemat‐Kermani

2017

Water Resour Manage

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Climate change (CC) and drought episode impacts linked with anthropogenic pressure have become an increasing concern for policy makers and water resources managers. The current research presents a comprehensive methodology but simple approach for predicting the annual streamflow alteration based on drought indices and hydrological alteration indicators. This has been achieved depending on the evaluation of drought severity and CC impacts during the human intervention periods to separate the influence of climatic abnormality and measure the hydrologic deviations as a result of streamflow regulation configurations. As a representative case study, the Lesser Zab River Basin in northern Iraq has been chosen. In order to analyse the natural flow regime, 34 hydrological years of streamflow prior to the main dam construction were assessed. The Indicators of Hydrologic Alteration (IHA) method has been applied to quantify the hydrological alterations of various flow characteristics. In addition, an easy approach for hydrological drought prediction in relatively small basins grounded on meteorological parameters during the early months of the hydrological year has been presented. The prediction was accomplished by implementing the one-dimensional drought examination and the reconnaissance drought index (RDI) for evaluating the severity of meteorological drought. The proposed methodology is founded on linear regression relations connecting the RDI of 3, 6, and 12 months and the streamflow drought index (SDI). The results are critical for circumstances where an early exploration of meteorological drought is obtainable. Outcomes assist water resources Water Resour Manage

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“…The change in FOCI values and numbers of IHA in each interval is consistent for most years, which indicates that the FOCI value effectively captures the characteristics of the 32 IHA within a given year. The change in IHA within each year is essential for determining particular flow regime characteristics and linking those characteristics to the aquatic ecosystem [43,44]. If only a few years are considered, the FOCI values and numbers of IHA become inconsistent, as the IHA reflect flow regime alterations jointly and the eco-response to each IHA is different [45,46].…”

Section: Comparing the Results Of The Traditional And Revised Rva Metmentioning

confidence: 99%

Quantitative Assessment of Flow Regime Alteration Using a Revised Range of Variability Methods

Peng

Huang

et al. 2018

Water

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Abstract:The Ecological Limits of Hydrologic Alteration (ELOHA) framework, which can be used to determine and implement environmental flows at regional scales, requires accurate flow regime alteration assessment. The widely used range of variability approach (RVA) evaluates flow regime alteration by comparing the distribution of 32 Indicators of Hydrologic Alteration (IHA). However, the traditional RVA method is not comprehensive, because it neglects both the human-induced inner characteristics of one hydrological year (ICOHY) and the positional information of 32 IHA, which are the main factors behind ecosystem alteration. To address these limitations, we propose a revised RVA method that uses the Tanimoto similarity (TS) coefficient to reflect the ICOHY and a first-order connectivity index to reflect the IHA positional information. The yearly Tanimoto alteration (TA) index is measured using the revised RVA method, and the individual alteration (IA) values of each of 32 IHA are calculated using the traditional RVA method. Then, a new index, the overall degree of flow regime alteration (OA), is derived from the TA and IA values. The effectiveness of the revised RVA method is tested in the upper reaches of the Yangtze River, and the results suggest that the revised RVA ameliorates the limitations of the traditional RVA, and therefore, is preferable for use in the ELOHA framework.

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Analysis of the effect of climate change on the Nakdong river stream flow using indicators of hydrological alteration

Cited by 44 publications

References 15 publications

Hydrological Modeling Approach Using Radar-Rainfall Ensemble and Multi-Runoff-Model Blending Technique

Hydrological Modeling Approach Using Radar-Rainfall Ensemble and Multi-Runoff-Model Blending Technique

Temporal Hydrologic Alterations Coupled with Climate Variability and Drought for Transboundary River Basins

Quantitative Assessment of Flow Regime Alteration Using a Revised Range of Variability Methods

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