scholarly journals Evaluation of upper Uruguay river basin (Brazil) operational flood forecasts

RBRH ◽  
2017 ◽  
Vol 22 (0) ◽  
Author(s):  
Fernando Mainardi Fan ◽  
Paulo Rógenes Monteiro Pontes ◽  
Diogo Costa Buarque ◽  
Walter Collischonn
Keyword(s):  
River Basin ◽  
Power Plants ◽  
Performance Metrics ◽  
Hydroelectric Power ◽  
Rainfall Runoff ◽  
Runoff Modeling ◽  
Forecasting System ◽  
The Difference ◽  
And Performance ◽  
Uruguay River

ABSTRACT System for hydrological forecasting and alert running in an operational way are important tools for floods impacts reduction. The present study describes the development and results evaluation of an operational discharge forecasting system of the upper Uruguay River basin, sited in Southern Brazil. Developed system was operated every day to provide experimental forecasts with special interest for Barra Grande and Campos Novos hydroelectric power plants reservoirs inflow, with 10 days in advance. We present results of inflow forecasted for floods occurred between July 2013 to July 2016, the period which the system was operated. Forecasts results by visual and performance metrics analysis showed a good fit with observations in most cases, with possibility of floods occurrence being well predicted with antecedence of 2 to 3 days. Comparing the locations, it was noted that the sub-basin of Campos Novos, being slower in rainfall-runoff transformation, is easier forecasted. The difference in predictability between the two basins can be observed by the coefficient of persistence, which is positive from 12h in Barra Grande and from 24h to Campos Novos. These coefficient values also show the value of the rainfall-runoff modeling for forecast horizons of more than one day in the basins.

scholarly journals Application of SAC-SMA and IPH II hydrological models in the Teles Pires River basin, Brazil

RBRH ◽  
2019 ◽  
Vol 24 ◽  
Author(s):  
Eduardo Morgan Uliana ◽  
Frederico Terra de Almeida ◽  
Adilson Pacheco de Souza ◽  
Ibraim Fantin da Cruz ◽  
Luana Lisboa ◽  
...  
Keyword(s):  
River Basin ◽  
Water Resource Management ◽  
Management Strategies ◽  
Rainfall Runoff ◽  
Detailed Model ◽  
Mato Grosso ◽  
Soil Moisture Accounting ◽  
Shuffled Complex Evolution ◽  
Runoff Modeling ◽  
And Performance

ABSTRACT Parameterization and performance analysis of a hydrological model allow its consolidation, so that water-resource management strategies could be evaluated and extreme events forecast. In this context, this study aimed to evaluate the performance of the Sacramento Soil Moisture Accounting (SAC-SMA) and IPH II models for runoff estimation in the Teles Pires River basin, which is located in the Amazon region, State of Mato Grosso, Brazil. Both models were automatically calibrated using Shuffled Complex Evolution algorithm (SCE-UA) and validated for five runoff monitoring units. Our results showed that both are suitable for daily runoff modeling in the Teles Pires River basin with higher performance in larger drainage area basins. We can also infer that the simple use of complex rainfall-runoff models might not provide improved estimates. Although the SAC-SMA is the most complex and detailed model for hydrological processes, it has not outperformed IPH II in any of the monitoring units in the Teles Pires River.

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.

Rainfall-runoff modeling considering soil moisture accounting algorithm, case study: Karoon III River basin

2016 ◽  
Vol 43 (4) ◽  
pp. 699-710 ◽  
Author(s):  
Homa Razmkhah ◽  
Bahram Saghafian ◽  
Ali-Mohammad Akhound Ali ◽  
Fereydoun Radmanesh
Keyword(s):  
Soil Moisture ◽  
River Basin ◽  
Rainfall Runoff ◽  
Soil Moisture Accounting ◽  
Runoff Modeling

Impact of Method Noise on SAR Image Despeckling

2020 ◽  
Vol 15 (1) ◽  
pp. 52-63 ◽  
Author(s):  
Prabhishek Singh ◽  
Raj Shree
Keyword(s):  
Performance Metrics ◽  
Synthetic Aperture ◽  
Sar Image ◽  
Sar Images ◽  
Standard Methods ◽  
Residual Image ◽  
Method Noise ◽  
Image Despeckling ◽  
The Difference ◽  
And Performance

This article introduces the concept, use and implementation of method noise in the field of synthetic aperture radar (SAR) image despeckling. Method noise has the capability to enhance the efficiency and performance of any despeckling algorithm. It is easy, efficient and enhanced way of improving the results. The difference between speckled image and despeckled image contains some residual image information which is due to the inefficiency of the denoising algorithm. This article will compare the results of some standard methods with and without the use of method noise and prove its efficiency and validity. It also shows its best use in different ways of denoising. The results will be compared on the basis of performance metrics like PSNR and SSIM. The concept of method noise is not restricted to only SAR images. It has vast usage and application. It can be used in any denoising procedure such as medical images, optical image etc. but this paper shows the experimental results only on the SAR images.

PERSPECTIVES OF THE USAGE OF HYDROPOWER POTENTIAL OF THE RIVERS OF THE DNIPRO RIVER BASIN (ON THE EXAMPLE OF THE ROS RIVER)

2019 ◽  
pp. 56-62 ◽  
Author(s):  
O. Obodovskiy ◽  
V. Onischuk ◽  
O. Pochaievets
Keyword(s):  
Electromagnetic Field ◽  
River Basin ◽  
Power Plants ◽  
Hydroelectric Power ◽  
Operating Characteristics ◽  
Water Object ◽  
Technological Approach ◽  
Hydropower Potential ◽  
Hydroelectric Power Plants ◽  
High Level

A new scientific and technological approach concerning the high level of ecological usage of hydropower potential of rivers in the Dnipro river basin is presented. The constructive and layout solutions for the declared small high-ecological hydroelectric power plants are presented. Examples of hydraulic calculation of pressure derivation are given and the power of a hydroelectric power plant is determined taking into account the effect of an additional electromagnetic field on its individual working bodies. The Ros is taken as the pilot river, which shows the locations of universal small high-ecological hydroelectric power stations and their main operating characteristics. In addition, recommendations are made regarding the rational allocation of hydroelectric power plants, taking into account the type of channel. The scientific novelty of the new technological approach is the use of an additional local electromagnetic field at the end of the pressure pipeline at a section length of at least 10 m, on the nozzle and on the turbine. The presence of an electromagnetic field around the turbine and generator enables the stations to operate at significant speeds (from 600 to 16 thousand revolutions per minute). In addition, in the background of the electromagnetic field, due to the absence of friction in the bearings, the life of turbines and generators increases. The universality of new hydroelectric power plants is explained by the fact that such stations can be used on any water facility (mountain or plain river, lake, reservoir or near the reservoir). The technical and economic efficiency of high-ecological hydroelectric power plants is assessed by the high level of environmental safety of the water object, the cost-effectiveness of construction and the achieved level of safety during flood passage, which is achieved by minimal interference and water use of the water object. In addition, the work of the station is effective at the minimum volume of water drain on any part of the river, almost without violating the hydroecological parameters of the water object. Comparative analysis of the estimated cost of a small hydroelectric power station near the village is presented.

scholarly journals The Accuracy of Glasgow Coma Score Documentation in a Trauma Database: Implications for Patient Care and Performance Metrics

Neurosurgery ◽  
2019 ◽  
Vol 66 (Supplement_1) ◽  
Author(s):  
Anthony M DiGiorgio ◽  
Blake E Wittenberg ◽  
Brooke Kennamer ◽  
Clifford Crutcher ◽  
Adam Podet ◽  
...  
Keyword(s):  
Performance Metrics ◽  
Trauma Registry ◽  
Trauma Surgery ◽  
Quality Measurement ◽  
Administrative Databases ◽  
P Value ◽  
Entire Cohort ◽  
Severe Tbi ◽  
The Difference ◽  
And Performance

Abstract INTRODUCTION Quality measurement and performance metrics are becoming increasingly emphasized in health care. Recognizing the need for accurate and reliable data in quality measurement, practitioners and researchers moved away from administrative databases and towards registries. Our study looks to determine the accuracy of the GCS recorded in the trauma registry at our institution. METHODS Our hospital trauma registry was queried for all TBI patients from 2013 to 2017. GCS from the trauma registry (tGCS) was compared to the neurosurgery consult note (nGCS). Patients were excluded if there was no neurosurgery consult note or if the note was time-stamped more than 2 h from patient arrival. RESULTS There were 468 patients included in the final cohort. tGCS significantly differed from nGCS (6.6 vs 7.9, P < .001). There were 337 patients who would be considered severe TBI (tGCS = 8). Of these patients, the tGCS and nGCS also significantly differed (4.4 vs 6.3, P <.001). There were 188 (40.2%) patients with a tGCS of 3 and 89 (19.0%) with a nGCS of 3. The difference is statistically significant with a Fisher's Exact Test giving a P-value of < .001. There was a higher discrepancy between tGCS and nGCS in patients who survived in the entire cohort (1.61 vs 0.50, P < .001), the severe TBI patients (2.52 vs 0.61, P < .001) and the GCS 3 patients (4.08 vs 0.73, P < .001). Binomial regression modeling found that nGCS correlated with mortality more than tGCS or the highest GCS (hiGCS). CONCLUSION The GCS is meant to be an accurate, objective measure of a patient's mental status. However, significant disagreement when it is assessed by the trauma surgery team compared to the neurosurgery team. The difference is likely due to the time between assessments, as it allows for patient stabilization and reversal of pharmaceutical agents as patients who survived had a significantly larger change in GCS than those that died. Predictive modeling showed that the GCS recorded by the neurosurgery team is a better predictor of survival.

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