Smart low flow signature metrics for an improved overall performance evaluation of hydrological models

2014 ◽  
Vol 510 ◽  
pp. 447-458 ◽  
Author(s):  
Matthias Pfannerstill ◽  
Björn Guse ◽  
Nicola Fohrer
Keyword(s):  
Performance Evaluation ◽  
Low Flow ◽  
Hydrological Models ◽  
Overall Performance

Performance Evaluation of Vietnamese Apparel Enterprises: An Application of DEA Approach

2021 ◽  
Vol 18 ◽  
pp. 1-9
Author(s):  
Tran Van Trang ◽  
Quang Hung Do ◽  
Minh Huan Luong
Keyword(s):  
Performance Evaluation ◽  
Cost Management ◽  
Apparel Industry ◽  
Labor Cost ◽  
Efficiency Analysis ◽  
Main Role ◽  
Dea Efficiency ◽  
Overall Performance ◽  
Dea Approach ◽  
National Industry

A continued robust growth of Vietnamese apparel enterprises has showed that they do notplay the auxiliary but the main role in the national industry. However, in general, the apparel industryin Vietnam has not met the practical requirements. In order to provide overall performance evaluationand how to achieve efficiency systematically, this study utilizes DEA approach to determine theperformance levels of 15 Vietnamese apparel industry enterprises and assess their efficiency.Specifically, we have applied output oriented model, which aims to maximize outputs while the inputsproportions remain unchanged to realize DEA efficiency analysis. CCR-based and BCC-based modelsare utilized to get overall technical and pure technical efficiencies. The findings show that havingbusiness transactions with foreign partners, good labor cost management and effective inventorymanagement are the most prominent factors in distinguishing between efficient and inefficiententerprises in Vietnam's apparel industry. The study may be a useful tool for managers to improvetheir performances and effectively allocate resources.

scholarly journals A 439-year simulated daily discharge dataset (1861–2299) for the upper Yangtze River, China

2020 ◽  
Vol 12 (1) ◽  
pp. 387-402
Author(s):  
Chao Gao ◽  
Buda Su ◽  
Valentina Krysanova ◽  
Qianyu Zha ◽  
Cai Chen ◽  
...  
Keyword(s):  
Climate Change ◽  
Yangtze River ◽  
Weighted Least Squares ◽  
Low Flow ◽  
Historical Period ◽  
Hydrological Models ◽  
Upper Yangtze River ◽  
Daily Discharge ◽  
The Upper Yangtze River ◽  
Soil And Water

Abstract. The outputs of four global climate models (GFDL-ESM2M, HadGEM2-ES, IPSL-CM5A-LR and MIROC5), which were statistically downscaled and bias corrected, were used to drive four hydrological models (Hydrologiska Byråns, HBV; Soil and Water Assessment Tool, SWAT; Soil and Water Integrated Model, SWIM; and Variable Infiltration Capacity, VIC) to simulate the daily discharge at the Cuntan hydrological station in the upper Yangtze River from 1861 to 2299. As the performances of hydrological models in various climate conditions could be different, the models were first calibrated in the period from 1979 to 1990. Then, the models were validated in the comparatively wet period, 1967–1978, and in the comparatively dry period, 1991–2002. A multi-objective automatic calibration programme using a univariate search technique was applied to find the optimal parameter set for each of the four hydrological models. The Nash–Sutcliffe efficiency (NSE) of daily discharge and the weighted least-squares function (WLS) of extreme discharge events, represented by high flow (Q10) and low flow (Q90), were included in the objective functions of the parameterization process. In addition, the simulated evapotranspiration results were compared with the GLEAM evapotranspiration data for the upper Yangtze River basin. For evaluating the performances of the hydrological models, the NSE, modified Kling–Gupta efficiency (KGE), ratio of the root-mean-square error to the standard deviation of the measured data (RSR) and Pearson's correlation coefficient (r) were used. The four hydrological models reach satisfactory simulation results in both the calibration and validation periods. In this study, the daily discharge is simulated for the upper Yangtze River under the preindustrial control (piControl) scenario without anthropogenic climate change from 1861 to 2299 and for the historical period 1861–2005 and for 2006 to 2299 under the RCP2.6, RCP4.5, RCP6.0 and RCP8.5 scenarios. The long-term daily discharge dataset can be used in the international context and water management, e.g. in the framework of Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) by providing clues to what extent human-induced climate change could impact streamflow and streamflow trend in the future. The datasets are available at: https://doi.org/10.4121/uuid:8658b22a-8f98-4043-9f8f-d77684d58cbc (Gao et al., 2019).

scholarly journals Estimating the Relative Uncertainties Sourced from GCMs and Hydrological Models in Modeling Climate Change Impact on Runoff

2012 ◽  
Vol 13 (1) ◽  
pp. 122-139 ◽  
Author(s):  
Jin Teng ◽  
Jai Vaze ◽  
Francis H. S. Chiew ◽  
Biao Wang ◽  
Jean-Michel Perraud
Keyword(s):  
Climate Change ◽  
Climate Change Impact ◽  
Daily Rainfall ◽  
Low Flow ◽  
Hydrological Models ◽  
Rainfall Runoff ◽  
Runoff Modeling ◽  
Change Impact ◽  
The Difference ◽  
Climate Series

Abstract This paper assesses the relative uncertainties from GCMs and from hydrological models in modeling climate change impact on runoff across southeast Australia. Five lumped conceptual daily rainfall–runoff models are used to model runoff using historical daily climate series and using future climate series obtained by empirically scaling the historical climate series informed by simulations from 15 GCMs. The majority of the GCMs project a drier future for this region, particularly in the southern parts, and this is amplified as a bigger reduction in the runoff. The results indicate that the uncertainty sourced from the GCMs is much larger than the uncertainty in the rainfall–runoff models. The variability in the climate change impact on runoff results for one rainfall–runoff model informed by 15 GCMs (an about 28%–35% difference between the minimum and maximum results for mean annual, mean seasonal, and high runoff) is considerably larger than the variability in the results between the five rainfall–runoff models informed by 1 GCM (a less than 7% difference between the minimum and maximum results). The difference between the rainfall–runoff modeling results is larger in the drier regions for scenarios of big declines in future rainfall and in the low-flow characteristics. The rainfall–runoff modeling here considers only the runoff sensitivity to changes in the input climate data (primarily daily rainfall), and the difference between the hydrological modeling results is likely to be greater if potential changes in the climate–runoff relationship in a warmer and higher CO2 environment are modeled.

Overall performance evaluation of shallow maturation ponds in series treating UASB reactor effluent: Ten years of intensive monitoring of a system in Brazil

2014 ◽  
Vol 71 ◽  
pp. 206-214 ◽  
Author(s):  
Daniel F.C. Dias ◽  
Thiago E. Possmoser-Nascimento ◽  
Valéria A.J. Rodrigues ◽  
Marcos von Sperling
Keyword(s):  
Performance Evaluation ◽  
Uasb Reactor ◽  
Intensive Monitoring ◽  
In Series ◽  
Overall Performance

scholarly journals Calibration of hydrological models for ecologically relevant streamflow predictions: a trade-off between fitting well to data and estimating consistent parameter sets?

2020 ◽  
Vol 24 (3) ◽  
pp. 1031-1054 ◽  
Author(s):  
Thibault Hallouin ◽  
Michael Bruen ◽  
Fiachra E. O'Loughlin
Keyword(s):  
Flow Regime ◽  
River Flow ◽  
Freshwater Ecosystems ◽  
Living Environment ◽  
Rate Of Change ◽  
Low Flow ◽  
Hydrological Models ◽  
Flow Conditions ◽  
Local Flow ◽  
Trade Off

Abstract. The ecological integrity of freshwater ecosystems is intimately linked to natural fluctuations in the river flow regime. In catchments with little human-induced alterations of the flow regime (e.g. abstractions and regulations), existing hydrological models can be used to predict changes in the local flow regime to assess any changes in its rivers' living environment for endemic species. However, hydrological models are traditionally calibrated to give a good general fit to observed hydrographs, e.g. using criteria such as the Nash–Sutcliffe efficiency (NSE) or the Kling–Gupta efficiency (KGE). Much ecological research has shown that aquatic species respond to a range of specific characteristics of the hydrograph, including magnitude, frequency, duration, timing, and the rate of change of flow events. This study investigates the performance of specially developed and tailored criteria formed from combinations of those specific streamflow characteristics (SFCs) found to be ecologically relevant in previous ecohydrological studies. These are compared with the more traditional Kling–Gupta criterion for 33 Irish catchments. A split-sample test with a rolling window is applied to reduce the influence on the conclusions of differences between the calibration and evaluation periods. These tailored criteria are shown to be marginally better suited to predicting the targeted streamflow characteristics; however, traditional criteria are more robust and produce more consistent behavioural parameter sets, suggesting a trade-off between model performance and model parameter consistency when predicting specific streamflow characteristics. Analysis of the fitting to each of 165 streamflow characteristics revealed a general lack of versatility for criteria with a strong focus on low-flow conditions, especially in predicting high-flow conditions. On the other hand, the Kling–Gupta efficiency applied to the square root of flow values performs as well as two sets of tailored criteria across the 165 streamflow characteristics. These findings suggest that traditional composite criteria such as the Kling–Gupta efficiency may still be preferable over tailored criteria for the prediction of streamflow characteristics, when robustness and consistency are important.

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