Improvement of Forecasting Method of Recession Characteristics of River Flow Rate into a Dam by using Estimation of Steady State

2020 ◽  
pp. 1-10
Author(s):  
Tomonari Kawai ◽  
Katsuhiro Ichiyanagi ◽  
Takuo Koyasu ◽  
Kazuto Yukita ◽  
Yasuyuki Goto
Keyword(s):  
Steady State ◽  
State Estimation ◽  
Flow Rate ◽  
River Flow ◽  
System Operation ◽  
Forecasting Accuracy ◽  
Hydropower Plants ◽  
Dam Management ◽  
Forecasting Method

This paper describes an application of neural networks for forecasting the flow rate upper district of dams for hydropower plants. The forecasting of recession characteristics of the river flow after rainfalls is important with respect to system operation and dam management. We present a method for improving the precision of forecasting flow rate upper district of dams by utilizing steady-state estimation and recession time constant of the river flow. A case study was carried out on the upper district of the Yahagi River in Central Japan. It is found from our investigations that the forecasting accuracy is improved to 18.6% from 25.8% with a forecasted error of the total amount of river flow by using steady-state estimation.

scholarly journals IMPROVEMENT OF FORECASTING METHOD OF RECESSION CHARACTERISTICS OF RIVER FLOW RATE INTO A DAM BY USING ESTIMATION OF STEADY STATE

2017 ◽  
Vol 73 (1) ◽  
pp. 12-21
Author(s):  
Tomonari KAWAI ◽  
Katsuhiro ICHIYANAGI ◽  
Takuo KOYASU ◽  
Kazuto YUKITA ◽  
Yasuyuki GOTO
Keyword(s):  
Steady State ◽  
Flow Rate ◽  
River Flow ◽  
Forecasting Method

scholarly journals Composing Problem Solvers for Simulation Experimentation: A Case Study on Steady State Estimation

PLoS ONE ◽  
2014 ◽  
Vol 9 (4) ◽  
pp. e91948 ◽  
Author(s):  
Stefan Leye ◽  
Roland Ewald ◽  
Adelinde M. Uhrmacher
Keyword(s):  
Steady State ◽  
State Estimation ◽  
Problem Solvers

scholarly journals INFLUENCE OF RICE PADDY OPERATION ON RIVER FLOW RATE -CASE STUDY IN THE LOWER REACH OF THE EAI RIVER, MIYAGI PREFECTURE-

2015 ◽  
Vol 71 (4) ◽  
pp. I_337-I_342
Author(s):  
Yi ZHANG ◽  
Yuma ASAI ◽  
Tadaharu ISHIKAWA ◽  
Ryosuke AKOH ◽  
Kuniyoshi SHIMA ◽  
...  
Keyword(s):  
Flow Rate ◽  
River Flow ◽  
Rice Paddy ◽  
Lower Reach ◽  
Miyagi Prefecture ◽  
Rate Case

A Multi-Dimensional Method for Nodal Load Forecasting

2014 ◽  
Vol 1070-1072 ◽  
pp. 708-717
Author(s):  
Zhi Yuan Pan ◽  
Chao Nan Liu ◽  
Jing Wang ◽  
Yong Wang
Keyword(s):  
Energy Flow ◽  
Load Forecasting ◽  
Least Square ◽  
Support Vector ◽  
Forecasting Accuracy ◽  
Combination Forecasting ◽  
Forecasting Method ◽  
Load Pattern ◽  
And Control

The intelligent dispatch and control of future smart grid demands grasping of any nodal load pattern in the general great grid, therefore to realize the load forecasting of any nodal load is quite important. To solve this problem, focusing on overcoming the weakness of isolated nodal load forecasting and based on the correlation analysis, this paper proposes a multi-dimensional nodal load forecast system and corresponding method for effective prediction of any nodal load of the grid. This system includes topology partitioning of the grid energy flow according to layers and regions, basic forecasting unit composed of each layer’s total amount of load and its nodal loads, and combination forecasting for any node. The forecasting method is based on techniques including the multi-output least square support vector machine, Kalman filtering and the approximate optimal prediction. A case study shows that the multi-dimensional nodal load forecasting model helps to improve the forecasting accuracy, and has practical prospects.

Forecasting Method of Recession Time Constant of River Flow Rate into a Dam after Rainfall

2009 ◽  
Vol 129 (1) ◽  
pp. 111-117
Author(s):  
Fujihiro Yamada ◽  
Nobuyuki Yamamoto ◽  
Shigeyuki Sugimoto ◽  
Yasuyuki Hibino ◽  
Hiroyuki Nakano ◽  
...  
Keyword(s):  
Time Constant ◽  
Flow Rate ◽  
River Flow ◽  
Forecasting Method

scholarly journals Multi-scenario numerical modeling applied to groundwater contamination: the Popoli Gorges complex aquifer case study (Central Italy)

2018 ◽  
Author(s):  
Diego Di Curzio ◽  
Sergio Rusi ◽  
Ron Semeraro
Keyword(s):  
Numerical Modeling ◽  
Steady State ◽  
Particle Tracking ◽  
River Flow ◽  
Numerical Models ◽  
Central Italy ◽  
Advective Transport ◽  
Total Budget ◽  
Well Field

In this research, a multi-scenario numerical modeling was implemented to assess the effects of changes to abstraction patterns in the Sant’Angelo well-field (central Italy) and their implications on the aquifer hydrodynamic and the advective transport of contaminants. Once implemented and calibrated the steady-state numerical model by means of MODFLOW-2005, the well-field turning off scenario was modelled. In addition, the numerical results were analyzed by means of the post-processors ZONEBUDGET and MODPATH, to assess respectively the contribution of each hydrogeological feature to the total budget and the advective transport of contaminant particles. Comparing the two steady-state numerical models and the relative particle tracking analyses, the well-field turning off, although no longer acting as a hydraulic barrier, increased the residence time of contaminant particles and limited their mobility in the aquifer. Furthermore, the general decrease in groundwater abstractions also caused a higher increase in river flow, favoring contaminants’ dilution in surface water.

scholarly journals Modifications to Snow-Melting and Flooding Processes in the Hydrological Model—A Case Study in Issyk-Kul, Kyrgyzstan

Atmosphere ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1580
Author(s):  
Solange Uwamahoro ◽  
Tie Liu ◽  
Vincent Nzabarinda ◽  
Jules Habumugisha ◽  
Theogene Habumugisha ◽  
...  
Keyword(s):  
River Flow ◽  
Assessment Tool ◽  
Swat Model ◽  
Melting Process ◽  
Flood Frequency ◽  
Snow Melting ◽  
Forecasting Method ◽  
Flood Peaks ◽  
Maximum Temperatures

Streamflow impacts water supply and flood protection. Snowmelt floods occur frequently, especially in mountainous areas, and they pose serious threats to natural and socioeconomic systems. The current forecasting method relies on basic snowmelt accumulation and has geographic limitations that restrict the accuracy and timeliness of flood simulation and prediction. In this study, we clarified the precipitation types in two selected catchments by verifying accumulated and maximum temperatures’ influences on snow melting using a separation algorithm of rain and snow that incorporates with the temperatures. The new snow-melting process utilizing the algorithm in the soil and water assessment tool model (SWAT) was also developed by considering the temperatures. The SWAT model was used to simulate flooding and snowmelt in the catchments. We found that the contributions of snowmelt to the river flow were approximately 6% and 7% higher, according to our model compared to the original model, for catchments A and B, respectively. After the model improvement, the flood peaks increased by 49.42% and 43.87% in A and B, respectively. The contributions of snowmelt to stream flow increased by 24.26% and 31% for A and B, respectively. Generally, the modifications improved the model accuracy, the accuracy of snowmelt’s contributions to runoff, the accuracy of predicting flood peaks, the time precision, and the flood frequency simulations.

scholarly journals PEAK DEBIT ANALYSIS USING SYNTHETIC UNIT HYDOGRAPHIC METHOD ITB 1 AND HEC-RAS VERSION 5.0.7 (Case Study of Manna Downstream watershed)

2021 ◽  
Vol 13 (1) ◽  
pp. 17-24
Author(s):  
Muhamad Syahroni
Keyword(s):  
Natural Disaster ◽  
Flow Rate ◽  
River Flow ◽  
Peak Discharge ◽  
Return Periods ◽  
Unit Hydrograph ◽  
High Rainfall ◽  
Synthetic Unit Hydrograph

Flooding is a natural disaster caused by the discharge or volume of water that flows in a river exceeds its stream capacity. One of the causes of the flood is high rainfall. The discharge of a river flow depends on the rainfall that falls in a watershed. The purpose of this study was to determine the peak discharge due to the intensity of rainfall in the downstream of Air Manna Watershed and determine the point that will undergo runoff on the Air Manna river flow. This study used Synthetic Unit Hydrograph (HSS) ITB 1 method and analyzed used HEC-RAS 5.0.7. From the result of hydrological analysis used the HSS ITB 1 method, it was found out the peak discharge in the downstream of Air Manna Watershed for return periods 2, 5, 10, 25, 50 and 100 years was 1322.21 m3/s, 1492.94 m3 /s, 1594 12 m3 /s, 1712.20 m3/s, 1794.33 m3 /s, and 1872.85 m3/s. After analyzing used HEC-RAS 5.0.7 software, Air Manna river was unable to accommodate the flow rate that occurred and undergo runoff along the flow.

Pyrolysis of brown algae (Bifurcaria Bifurcata) in a stainless steel tubular reactor: From a review to a case study

2018 ◽  
Vol 14 (1) ◽  
pp. 31-60 ◽  
Author(s):  
M. Y. Guida ◽  
F. E. Laghchioua ◽  
A. Hannioui
Keyword(s):  
Particle Size ◽  
Stainless Steel ◽  
Flow Rate ◽  
Brown Algae ◽  
Tubular Reactor ◽  
Nitrogen Flow ◽  
Nitrogen Flow Rate ◽  
Bifurcaria Bifurcata ◽  
Bio Oil

This article deals with fast pyrolysis of brown algae, such as Bifurcaria Bifurcata at the range of temperature 300–800 °C in a stainless steel tubular reactor. After a literature review on algae and its importance in renewable sector, a case study was done on pyrolysis of brown algae especially, Bifurcaria Bifurcata. The aim was to experimentally investigate how the temperature, the particle size, the nitrogen flow rate (N2) and the heating rate affect bio-oil, bio-char and gaseous products. These parameters were varied in the ranges of 5–50 °C/min, below 0.2–1 mm and 20–200 mL. min–1, respectively. The maximum bio-oil yield of 41.3wt% was obtained at a pyrolysis temperature of 600 °C, particle size between 0.2–0.5 mm, nitrogen flow rate (N2) of 100 mL. min–1 and heating rate of 5 °C/min. Liquid product obtained under the most suitable and optimal condition was characterized by elemental analysis, 1H-NMR, FT-IR and GC-MS. The analysis of bio-oil showed that bio-oil from Bifurcaria Bifurcata could be a potential source of renewable fuel production and value added chemicals.

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