scholarly journals OPTIMUM OPERATION SYSTEM OF LARGE-SCALE RESERVOIR FOR FLOOD CONTROL, IRRIGATION AND ENVIRONMENTAL PRESERVATION IN THE CHAO PHRAYA RIVER BASIN IN THAILAND

2015 ◽  
Vol 71 (5) ◽  
pp. I_37-I_46
Author(s):  
Kentaro DOUTANI ◽  
Taichi TEBAKARI ◽  
Shuichi KURE ◽  
Pongsthakorn SUVANPIMOL
Keyword(s):  
River Basin ◽  
Flood Control ◽  
Large Scale ◽  
Operation System ◽  
Environmental Preservation ◽  
Optimum Operation ◽  
Chao Phraya River ◽  
Control Irrigation

scholarly journals Risk Assessment and Decision-Making Based on Mean-CVaR-Entropy for Flood Control Operation of Large Scale Reservoirs

Water ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 649 ◽  
Author(s):  
Quansen Wang ◽  
Jianzhong Zhou ◽  
Kangdi Huang ◽  
Ling Dai ◽  
Gang Zha ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Flood Control ◽  
Large Scale ◽  
Yangtze River Basin ◽  
Mean Value ◽  
Operation System ◽  
Control Operation ◽  
Flood Control Operation ◽  
Reservoir Flood Control Operation

The risk inevitably exists in the process of flood control operation and decision-making of reservoir group, due to the hydrologic and hydraulic uncertain factors. In this study different stochastic simulation methods were applied to simulate these uncertainties in multi-reservoir flood control operation, and the risk caused by different uncertainties was evaluated from the mean value, extreme value and discrete degree of reservoir occupied storage capacity under uncertain conditions. In order to solve the conflict between risk assessment indexes and evaluate the comprehensive risk of different reservoirs in flood control operation schemes, the subjective weight and objective weight were used to construct the comprehensive risk assessment index, and the improved Mahalanobis distance TOPSIS method was used to select the optimal flood control operation scheme. The proposed method was applied to the flood control operation system in the mainstream and its tributaries of upper reaches of the Yangtze River basin, and 14 cascade reservoirs were selected as a case study. The results indicate that proposed method can evaluate the risk of multi-reservoir flood control operation from all perspectives and provide a new method for multi-criteria decision-making of reservoir flood control operation, and it breaks the limitation of the traditional risk analysis method which only evaluated by risk rate and cannot evaluate the risk of the multi-reservoir flood control operation system.

Re-habitation and changes in the genetic diversity of aquatic insects in a newly restored shoal type habitat created as the result of a nature restoration project in the central basin of the Chikuma-gawa River

Zoosymposia ◽  
2016 ◽  
Vol 10 (1) ◽  
pp. 384-392
Author(s):  
RIE SAITO ◽  
KAZUKI SEKINÉ ◽  
KOJI TOJO
Keyword(s):  
River Basin ◽  
Flood Control ◽  
Large Scale ◽  
Central Area ◽  
Central Basin ◽  
River Channels ◽  
Restoration Project ◽  
Nature Restoration ◽  
Short Period ◽  
The Impact

The channels of almost all rivers in Japan have been fixed through the construction of artificial riverbanks to control flooding. In addition, to prevent flooding, maintenance works including the removal of gravel from the channels must be conducted regularly. As a result, the level of most riverbeds within river channels has been lowered, and riverbanks have become far steeper. These large changes to riverside environments have significantly altered the type of habitats available to plants, causing the level of vegetation growth on the riverside to increase. To improve such flood control methods, a new excavation project has commenced in the central area of the Chikuma-gawa River basin, under the auspices of the newly commissioned “Government Nature Restoration Project”. As part of this project, a large shallow environment approximately 1 km in length along the river’s course was newly created. We have attempted to evaluate the impact of this project and the subsequent environmental response, focusing on two dominant benthos, Stenopsyche marmorata and Isonychia japonica, particularly the dynamics of their genetic structure and diversity. Following the excavation of riverbanks and channels, the population density reached the same levels as at the control site, in a relatively short period of time. This is because the research site was limited to a small area within the large-scale river basin, with robust habitats located both upstream and downstream. The two target species in this study represent typical dominant species in the central basin of this river, and occur at high density. In other words, they could be transferred smoothly from the surrounding robust habitats, especially by the flow from upstream.

scholarly journals Hydroclimate variability and its statistical links to the large-scale climate indices for the Upper Chao Phraya River Basin, Thailand

2009 ◽  
Vol 6 (5) ◽  
pp. 6659-6690 ◽  
Author(s):  
N. Singhrattna ◽  
M. S. Babel ◽  
S. R. Perret
Keyword(s):  
Pacific Ocean ◽  
Indian Ocean ◽  
Temperature Gradient ◽  
Atmospheric Circulation ◽  
River Basin ◽  
Large Scale ◽  
Study Results ◽  
Hydroclimate Variability ◽  
The Indian Ocean ◽  
Chao Phraya River

Abstract. The local hydroclimates get impacts from the large-scale atmospheric variables via atmospheric circulation. The developing of their relationships could enhance the understanding of hydroclimate variability. This study focuses on the Upper Chao Phraya River Basin in Thailand in which rainfall is influenced by the Indian Ocean and tropical Pacific Ocean atmospheric circulation. The Southwest monsoon from the Indian Ocean to Thailand is strengthened by the temperature gradient between land and ocean. Thus, the anomalous sea surface temperature (SST) is systematically correlated with the monthly rainfall and identified as the best predictor based on the significant relationships revealed by cross-correlation analysis. It is found that rainfall, especially during the monsoon season in the different zones of study basin, corresponds to the different SST indices. This suggests that the region over the ocean which develops the temperature gradient plays a role in strengthening the monsoon. The enhanced gradient with the SST over the South China Sea is related to rainfall in High Rainfall Zone (HRZ); however, the anomalous SST over the Indian Ocean and the equatorial Pacific Ocean are associated with rainfall in Normal and Low Rainfall Zone (NRZ and LRZ) in the study area. Moreover, the identified predictors are related to the rainfall with lead periods of 1–4 months for the pre-monsoon rainfall and 6–12 months for the monsoon and dry season rainfall. The study results are very useful in developing rainfall forecasting models and consequently in the management of water resources and extreme events.

scholarly journals Improved Forecasting of Extreme Monthly Reservoir Inflow Using an Analogue-Based Forecasting Method: A Case Study of the Sirikit Dam in Thailand

Water ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1614 ◽  
Author(s):  
Somchit Amnatsan ◽  
Sayaka Yoshikawa ◽  
Shinjiro Kanae
Keyword(s):  
River Basin ◽  
Flood Control ◽  
High Flow ◽  
Low Flow ◽  
Forecasting Method ◽  
Forecasting Performance ◽  
Inflow Forecasting ◽  
Analogue Method ◽  
Reservoir Inflow ◽  
Chao Phraya River

Reservoir inflow forecasting is crucial for appropriate reservoir management, especially in the flood season. Forecasting for this season must be sufficiently accurate and timely to allow dam managers to release water gradually for flood control in downstream areas. Recently, several models and methodologies have been developed and applied for inflow forecasting, with good results. Nevertheless, most were reported to have weaknesses in capturing the peak flow, especially rare extreme flows. In this study, an analogue-based forecasting method, designated the variation analogue method (VAM), was developed to overcome this weakness. This method, the wavelet artificial neural network (WANN) model, and the weighted mean analogue method (WMAM) were used to forecast the monthly reservoir inflow of the Sirikit Dam, located in the Nan River Basin, one of the eight sub-basins of the Chao Phraya River Basin in Thailand. It is one of four major dams in the Chao Phraya Basin, with a maximum storage of 10.64 km3, which supplies water to 22 provinces in this basin, covering an irrigation area of 1,513,465 hectares. Due to the huge extreme monthly inflow in August, with inflow of more than 3 km3 in 1985 and 2011, monthly or longer lead time inflow forecasting is needed for proper water and flood control management of this dam. The results of forecasting indicate that the WANN model provided good forecasting for whole-year forecasting including both low-flow and high-flow patterns, while the WMAM model provided only satisfactory results. The VAM showed the best forecasting performance and captured the extreme inflow of the Sirikit Dam well. For the high-flow period (July–September), the WANN model provided only satisfactory results, while those of the WMAM were markedly poorer than for the whole year. The VAM showed the best capture of flow in this period, especially for extreme flow conditions that the WANN and WMAM models could not capture.

Impact of large-scale reservoir operation on flow regime in the Chao Phraya River basin, Thailand

2012 ◽  
Vol 26 (16) ◽  
pp. 2411-2420 ◽  
Author(s):  
Taichi Tebakari ◽  
Junichi Yoshitani ◽  
Pongthakorn Suvanpimol
Keyword(s):  
Flow Regime ◽  
River Basin ◽  
Reservoir Operation ◽  
Large Scale ◽  
Chao Phraya River

scholarly journals Effect of Large Scale Dams on Hydrological Regime in the Chao Phraya River Basin, Kingdom of Thailand

2004 ◽  
Vol 48 ◽  
pp. 481-486 ◽  
Author(s):  
Taichi TEBAKARI ◽  
Junichi YOSHITANI ◽  
Chanchai SUVANPIMOL
Keyword(s):  
River Basin ◽  
Large Scale ◽  
Hydrological Regime ◽  
Chao Phraya River
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