BIAS CORRECTION OF d4PDF RIVER DISCHARGE AND INUNDATION ANALYSIS IN THE CHAO PHRAYA RIVER BASIN

2020 ◽  
Vol 76 (2) ◽  
pp. I_97-I_102
Author(s):  
Tomohiro TANAKA ◽  
Ji LANHUI ◽  
Yasuto TACHIKAWA
Keyword(s):  
River Basin ◽  
Bias Correction ◽  
River Discharge ◽  
Chao Phraya River

AGCM3.2S RUNOFF DATA BIAS CORRECTION OVER UPPER CHAO PHRAYA RIVER BASIN BASED ON LAND COVER GROUPING

2020 ◽  
Vol 76 (2) ◽  
pp. I_91-I_96
Author(s):  
Teerawat RAM-INDRA ◽  
Yasuto TACHIKAWA ◽  
Kazuaki YOROZU ◽  
Yutaka ICHIKAWA
Keyword(s):  
Land Cover ◽  
River Basin ◽  
Bias Correction ◽  
Chao Phraya River

scholarly journals Application of performance metrics to climate models for projecting future river discharge in the Chao Phraya River basin

2014 ◽  
Vol 8 (1) ◽  
pp. 33-38 ◽  
Author(s):  
Satoshi Watanabe ◽  
Yukiko Hirabayashi ◽  
Shunji Kotsuki ◽  
Naota Hanasaki ◽  
Kenji Tanaka ◽  
...  
Keyword(s):  
River Basin ◽  
River Discharge ◽  
Climate Models ◽  
Performance Metrics ◽  
Chao Phraya River

BIAS CORRECTION OF RUNOFF DATA IN AGCM3.2S FOR UPPER CHAO PHRAYA RIVER BASIN, THAILAND

2020 ◽  
Vol 76 (5) ◽  
pp. I_55-I_63
Author(s):  
Teerawat RAM-INDRA ◽  
Yasuto TACHIKAWA ◽  
Kazuaki YOROZU ◽  
Yutaka ICHIKAWA
Keyword(s):  
River Basin ◽  
Bias Correction ◽  
Chao Phraya River

scholarly journals Future projection of mean river discharge climatology for the Chao Phraya River basin

2013 ◽  
Vol 7 (2) ◽  
pp. 36-41 ◽  
Author(s):  
Adisorn Champathong ◽  
Daisuke Komori ◽  
Masashi Kiguchi ◽  
Thada Sukhapunnaphan ◽  
Taikan Oki ◽  
...  
Keyword(s):  
River Basin ◽  
River Discharge ◽  
Future Projection ◽  
Chao Phraya River

scholarly journals Bias correction techniques for meteorological data of A2 scenario climate model output in Chao Phraya River Basin of Thailand

2014 ◽  
Vol 8 (1) ◽  
pp. 71-76 ◽  
Author(s):  
Somchai Baimoung ◽  
Taikan Oki ◽  
Boonlert Archevarahuprok ◽  
Aphantree Yuttaphan ◽  
Manoon Pangpom
Keyword(s):  
River Basin ◽  
Bias Correction ◽  
Climate Model ◽  
Meteorological Data ◽  
Model Output ◽  
Climate Model Output ◽  
Chao Phraya River

scholarly journals Inclusion of flood diversion canal operation in the H08 hydrological model with a case study from the Chao Phraya River Basin – Part 1: Model development and validation

2021 ◽  
Author(s):  
Saritha Padiyedath Gopalan ◽  
Adisorn Champathong ◽  
Thada Sukhapunnaphan ◽  
Shinichiro Nakamura ◽  
Naota Hanasaki
Keyword(s):  
River Basin ◽  
Flood Risk ◽  
River Discharge ◽  
Maximum Level ◽  
River Network ◽  
Water Diversion ◽  
Annual Average ◽  
Canal Operation ◽  
Chao Phraya River ◽  
Flood Diversion

Abstract. Water diversion systems play crucial roles in assuaging flood risk by diverting and redistributing water within and among basins. For flood and drought assessments, including investigations of the effects of diversion systems on river discharge worldwide, the explicit inclusion of these systems into global hydrological models (GHMs) is essential. However, such representation remains in the pioneering stage because of complex canal operations and insufficient data. Therefore, we developed a regionalized canal operation scheme and implemented it in the H08 GHM for flood diversion in the Chao Phraya River Basin (CPRB), Thailand, which is a complex river network with several natural and man-made diversion canals and has been subject to severe flooding in the past, including recent years. Region-specific validation results revealed that the enhanced H08 model with the regionalized diversion scheme could effectively simulate the observed flood diversion pattern in the CPRB. Diverted water comprises approximately 49 % of the annual average river discharge in the CPRB. The simulations further confirmed that the presented canal scheme had the potential to reduce flood risk in the basin by significantly reducing the number of flooding days. A generalized canal scheme with simple input data settings was also constructed for future global applications, providing insights into the maximum level of discharge reduction achievable with diversion of nearly 57 % of the annual average river discharge of the CPRB. Overall, the enhanced H08 model with canal schemes can be adapted and applied to different contexts and regions, accounting for the characteristics of each river network by maintaining the basic principles unaltered.

scholarly journals Use of Seasonal Streamflow Forecasts for Flood Mitigation with Adaptive Reservoir Operation: A Case Study of the Chao Phraya River Basin, Thailand, in 2011

Water ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3210
Author(s):  
Wongnarin Kompor ◽  
Sayaka Yoshikawa ◽  
Shinjiro Kanae
Keyword(s):  
River Basin ◽  
Reservoir Operation ◽  
River Discharge ◽  
Flood Mitigation ◽  
Wet Season ◽  
Predictive Information ◽  
Streamflow Forecasts ◽  
History Of ◽  
Chao Phraya River ◽  
Seasonal Streamflow

Predicting streamflow can help water managers make policy decisions for individual river basins. In 2011, heavy rainfall from May until October resulted in the largest flood event in the history of Thailand. This event created difficulty for water managers, who lacked information to make predictions. Studies on the 2011 Thai flood have proposed alternative reservoir operations for flood mitigation. However, no study to date has used predictive information to determine how to control reservoirs and mitigate such extreme floods. Thus, the objective of this study is to update and develop a method for using streamflow predictive data to support adaptive reservoir operation with the aim of mitigating the 2011 flood. The study area was the Chao Phraya River Basin, one of the most important basins in Thailand. We obtained predictive information from a hydrological model with a reservoir operation module using an ensemble of seasonal precipitation data from the European Centre for Medium–Range Weather Forecasts (ECMWF). The six-month ECMWF prediction period was used to support the operation plan for mitigating flooding in 2011 around each reservoir during the wet season. Decision-making for reservoir operation based on seasonal predictions was conducted on a monthly time scale. The results showed that peak river discharge decreased slightly, by around 4%, when seasonal predictive data were used. Moreover, changing the reservoir operation plan and using seasonal predictions decreased the peak river discharge by around 20%.

ANN-Based Bias Correction Algorithm for Precipitation in the Yarra River Basin, Australia

2017 ◽  
pp. 362-370
Author(s):  
P. Saravanan ◽  
C. Sivapragasam ◽  
M. Nitin ◽  
S. Balamurali ◽  
R. K. Ragul ◽  
...  
Keyword(s):  
River Basin ◽  
Bias Correction ◽  
Correction Algorithm ◽  
Yarra River

The Chao Phraya River Basin: water quality and anthropogenic influences

2018 ◽  
Vol 19 (5) ◽  
pp. 1287-1294 ◽  
Author(s):  
Nuanchan Singkran ◽  
Pitchaya Anantawong ◽  
Naree Intharawichian ◽  
Karika Kunta
Keyword(s):  
Water Quality ◽  
Land Use ◽  
River Basin ◽  
River Mouth ◽  
Oxygen Demand ◽  
Quality Parameters ◽  
Paddy Fields ◽  
Coliform Bacteria ◽  
Wet Season ◽  
Chao Phraya River

Abstract Land use influences and trends in water quality parameters were determined for the Chao Phraya River, Thailand. Dissolved oxygen (DO), biochemical oxygen demand (BOD), and nitrate-nitrogen (NO3-N) showed significant trends (R2 ≥ 0.5) across the year, while total phosphorus (TP) and faecal coliform bacteria (FCB) showed significant trends only in the wet season. DO increased, but BOD, NO3-N, and TP decreased, from the lower section (river kilometres (rkm) 7–58 from the river mouth) through the middle section (rkm 58–143) to the upper section (rkm 143–379) of the river. Lead and mercury showed weak/no trends (R2 < 0.5). Based on the river section, major land use groups were a combination of urban and built-up areas (43%) and aquaculture (21%) in the lower river basin, paddy fields (56%) and urban and built-up areas (21%) in the middle river basin, and paddy fields (44%) and other agricultural areas (34%) in the upper river basin. Most water quality and land use attributes had significantly positive or negative correlations (at P ≤ 0.05) among each other. The river was in crisis because of high FCB concentrations. Serious measures are suggested to manage FCB and relevant human activities in the river basin.

Sign in / Sign up

Export Citation Format

Share Document