Semi-distributed parameter optimization and uncertainty assessment for an ungauged catchment of Deduru Oya Basin in Sri Lanka

Warusavitharana, E.J.

doi:10.1080/15715124.2019.1656221

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…The SWAT model has shown its capability in regional-scale hydrological modelling for simulation of river discharge (Ghoraba, 2015;Bailey et al, 2016;Zhang et al, 2016;Rafiei et al, 2017;Warusavitharana, 2020). The…”

Section: Development Of Hydrological Modelmentioning

confidence: 99%

Evaluating the potential of an open sensor network to support reservoir pre-release decision making

Warusavitharana

Mahanama

Cannata

et al. 2022

J. Natn. Sci. Foundation Sri Lanka

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Still in most countries, reservoir flood warnings are threshold-based alerts issued when water levels exceed thresholds. This current practice of releasing water from reservoirs causes flash floods in downstream areas and increases the likelihood of dam failures and public outrage. Pre-release of water from reservoirs is therefore an important strategy for downstream flood mitigation. Hydrological models can simulate river flow with sufficient lead time. Thus, the resulting outputs can be effectively applied to pre-release decision making in the reservoirs. Since the beginning of computer-aided applications, many attempts have been made to establish a decision support system for reservoir flood control. However, this is hampered by manual stations, low quality data, high cost of software and data, unknown parameter values, and lack of expertise, especially in developing countries. Therefore, a total opensource solution combined with low-cost open-source hardware, free and open-source software, and open standards was seen as the only way to overcome reservoir-related flood risk. Moreover, research studies on open-source hardware, software, standards, and data are limited to a few case studies reporting real-time data on certain environmental parameters. Therefore, the application of integrated open-source technologies for reservoir flood control remains an unexplored area. In this background, a hydrological model powered by integrated opensource technology is presented in this research for reservoir prerelease decision making. The model was tested for the Deduru Oya watershed using the SWAT (Soil and Water Assessment Tool) toolkit. The calibration results appear to be satisfactory for both daily and hourly time intervals. Thus, this model helps to simulate the inflow of the reservoir and determine the level of reservoir gate opening.

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Section: Development Of Hydrological Modelmentioning

confidence: 99%

Evaluating the potential of an open sensor network to support reservoir pre-release decision making

Warusavitharana

Mahanama

Cannata

et al. 2022

J. Natn. Sci. Foundation Sri Lanka

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show abstract

“…The physically based and semi-distributed SWAT model has successfully been applied to simulate rainfall-runoff processes in many regions of the world. This model has been applied to simulate streamflow [42][43][44], examine land-use change effect on streamflow [45], evaluate the impact of climate change on streamflow [46], assess the water balance [47], model water qualities in streams [48], predict streamflow in ungauged catchments [49], etc. Therefore, the SWAT model holds a successful record of wide applications across the world, and its usage in the HBS watershed of Thailand is justifiable.…”

Section: Introductionmentioning

confidence: 99%

Hydrologic Utility of Satellite-Based and Gauge-Based Gridded Precipitation Products in the Huai Bang Sai Watershed of Northeastern Thailand

et al. 2021

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Accurate rainfall estimates are important in many hydrologic activities. Rainfall data are retrieved from rain gauges (RGs), satellites, radars, and re-analysis products. The accuracy of gauge-based gridded precipitation products (GbGPPs) relies on the distribution of RGs and the quality of rainfall data records obtained from these. The accuracy of satellite-based precipitation products (SbPPs) depends on many factors, including basin climatology, basin topography, precipitation mechanism, etc. The hydrologic utility of different precipitation products was examined in many developed regions; however, less focused on the developing world. The Huai Bang Sai (HBS) watershed in north-eastern Thailand is a less focused but an important catchment that significantly contributes to the water resources in Thailand. Therefore, this research presents the investigation results of the hydrologic utility of SbPPs and GbGPPs in the HBS watershed. The efficiency of nine SbPPs (including 3B42, 3B42-RT, PERSIANN, PERSIANN-CCS, PERSIANN-CDR, CHIRPS, CMORPH, IMERG, and MSWEP) and three GbGPPs (including APHRODITE_V1801, APHRODITE_V1901, and GPCC) was examined by simulating streamflow of the HBS watershed through the Soil & Water Assessment Tool (SWAT), hydrologic model. Subsequently, the streamflow simulation capacity of the hydrological model for different precipitation products was compared against observed streamflow records by using the same set of calibrated parameters used for an RG simulated scenario. The 3B42 product outperformed other SbPPS with a higher Nash–Sutcliffe Efficiency (NSEmonthly>0.55), while APHRODITE_V1901 (NSEmonthly>0.53) performed fairly well in the GbGPPs category with closer agreements with observed streamflow. In addition, the CMORPH precipitation product has not performed well in capturing observed rainfall and subsequently in simulating streamflow (NSEmonthly<0) of the HBS. Furthermore, MSWEP and CHIRPS products have performed fairly well during calibration; however, they showcased a lowered performance for validation. Therefore, the results suggest that accurate precipitation data is the major governing factor in streamflow modeling performances. The research outcomes would capture the interest of all stakeholders, including farmers, meteorologists, agriculturists, river basin managers, and hydrologists for potential applications in the tropical humid regions of the world. Moreover, 3B42 and APHRODITE_V1901 precipitation products show promising prospects for the tropical humid regions of the world for hydrologic modeling and climatological studies.

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A multi-criteria approach for improving streamflow prediction in a rapidly urbanizing data scarce catchment

Panchanathan

Haghighi

Oussalah

2023

International Journal of River Basin Management

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Semi-distributed parameter optimization and uncertainty assessment for an ungauged catchment of Deduru Oya Basin in Sri Lanka

Cited by 4 publications

References 17 publications

Evaluating the potential of an open sensor network to support reservoir pre-release decision making

Evaluating the potential of an open sensor network to support reservoir pre-release decision making

Hydrologic Utility of Satellite-Based and Gauge-Based Gridded Precipitation Products in the Huai Bang Sai Watershed of Northeastern Thailand

A multi-criteria approach for improving streamflow prediction in a rapidly urbanizing data scarce catchment

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