scholarly journals Simulating surface flow and baseflow in Poko catchment, Kon Tum province, Vietnam

2018 ◽  
Vol 10 (3) ◽  
pp. 494-503
Author(s):  
Vo Ngoc Quynh Tram ◽  
Nguyen Duy Liem ◽  
Nguyen Kim Loi
Keyword(s):  
Water Resources ◽  
Water Discharge ◽  
Swat Model ◽  
Surface Flow ◽  
Time Step ◽  
Filter Parameter ◽  
Discharge Data ◽  
Filtering Algorithm ◽  
Statistical Measures ◽  
Central Highland

Abstract Estimating the volume of water resources has important significance in assessing water availability in a basin, particularly in mountainous areas. The Poko catchment, a sub-basin of Se San river basin, is located in the Central Highland of Vietnam with an area of about 3,210 km2. This study focused on evaluating the performance of SWAT model and baseflow filtering algorithm in simulating surface flow and baseflow in Poko catchment. The model was calibrated and validated for the period 1996–2004 and 2005–2013, respectively, using the observed water discharge data at Dak Mot stream gauge. Statistical measures including R2 (coefficient of determination), NSI (Nash–Sutcliffe index), and PBIAS (percent bias) indicated good performance of the model in simulating water discharge on monthly time step during the calibration and validation period. Using baseflow filtering algorithm with filter parameter (0.925), surface flow and baseflow were separated from water discharge. The results demonstrated good performance in capturing the patterns of surface flow and baseflow, which confirmed the appropriateness of the model for future scenario simulation. These findings provide useful information for water resources planning in Poko catchment, in particular, and other basins, which have a hydro-meteorological response similar to this catchment, in general.

scholarly journals Estimating surface water and vadose water resources for an ungauged inland catchment in Vietnam

2021 ◽  
Author(s):  
Liem Duy Nguyen ◽  
Phuong Dong Nguyen Dang ◽  
Loi Kim Nguyen
Keyword(s):  
Water Resources ◽  
Water Flow ◽  
Water Discharge ◽  
Water Storage ◽  
Green Water ◽  
Weather Data ◽  
Coefficient Of Determination ◽  
Blue Water ◽  
Time Step ◽  
Statistical Measures

Abstract This study aimed to assess water resources for the La Vi catchment, an ungauged inland basin in Vietnam. An Internet of Things-based automatic meteorological station has been installed in the catchment to record hourly weather data from 2016. By comparing water level observations with limited discharge measurements, discharges from November 2015 to February 2018 were calculated at Tan Hoa bridge using the slope-area method. The Soil and Water Assessment Tool was calibrated and validated for the wet season of 2015 and 2017, respectively, using the previously calculated water discharges. Statistical measures including Nash–Sutcliffe index, percent bias, and coefficient of determination indicated the satisfactory performance of the model in simulating water discharge on daily time step during both periods. The results of the water resources assessment in the catchment showed that the annual average of blue water flow, green water flow, and green water storage reached 1,596.50, 371.13, and 15.36 mm, respectively. The blue water flow reached a higher value in the center of the catchment. Meanwhile, the high-value areas of green water flow and green water storage were in the western upstream and the riverside downstream. These findings could provide a valuable scientific foundation for sustainable watershed management.

scholarly journals Application of SWAT Model for Assessing Water Availability in Surma River Basin

2019 ◽  
Vol 5 (1) ◽  
pp. 29
Author(s):  
Syeda Zehan Farzana ◽  
Md. Abu Zafor ◽  
Jabed Al Shahariar
Keyword(s):  
Model Simulation ◽  
Water Discharge ◽  
Swat Model ◽  
Model Performance ◽  
Coefficient Of Determination ◽  
Water Balance Components ◽  
Time Step ◽  
Discharge Data ◽  
Space Agency ◽  
Physically Based

Water discharge is a significant hydrological parameter because it defines the shape, size and course of the stream. This study was initiated to evaluate the performance and applicability of the physically based SWAT model in analyzing the influence of hydrologic parameters on the streamflow variability and estimation of water balance components at the outlet of Kanaighat streamflow station (SW266) of Surma basin. A 30-m resolution digital elevation model (DEM) has been used to delineate catchment boundary. Land use map obtained from global source GLOBCOVER (Europe Space Agency) has been reclassified to match the SWAT land classes. The model was first calibrated for the period from 2003 to 2008 and then validated for the period from 2009 to 2013 using the observed monthly discharge data. Statistical model performance measures, coefficient of determination (R2) of 0.780, the Nash–Sutcliffe Index (NSI) of 0.47 and Percent bias (PBIAS) of -53.5%, for calibration and 0.878, 0.74 and -31.7%, respectively for validation, indicated good performance of the model simulation on monthly time step. The results showed that SWAT can simulate the hydrologic characteristics of the watershed very well.

scholarly journals Climate change impacts on hydrology in the Dak B’la watershed, Central Highland Vietnam based on SWAT model

2020 ◽  
pp. 22-31 ◽  
Author(s):  
Nguyen Kim Loi ◽  
Vo Ngoc Quynh Tram ◽  
Nguyen Thi Tinh Au
Keyword(s):  
Climate Change ◽  
Assessment Tool ◽  
High Reliability ◽  
Water Discharge ◽  
Swat Model ◽  
Climate Change Impacts ◽  
Agricultural Watershed ◽  
Coefficient Of Determination ◽  
Central Highland ◽  
Average Water

Climate is the main factor affecting hydrology in a watershed. For purely agricultural watershed, hydrological assessment and management play a very important role in the region's agricultural development. In this study, the hydrological was simulated by the Soil and Water Assessment Tool (SWAT) model. This paper aimed to calibrate and validate the SWAT model in Dak B’la watershed in Central Highland Vietnam and assess the climate change on water discharge. The coefficient of determination (R²) and Nash-Sutcliffe index (NSI), and Percent BIAS (PBIAS) during the calibration process was 0.75, 0.72, and -1.15 respectively and validation process was 0.82, 0.83, 3.67 respectively. It proved the high reliability of the SWAT model after calibration. The two climate scenarios were selected in this investigation: scenario A is the existing climate using the data from 2001 to 2018 and scenario B is the A1B emission scenario for the future period from 2020 to 2069. Compared to the average water discharge from 2001-2018 and average water discharge from 2020 to 2069, the results indicated that climate change increases the average water discharge (0.55%), especially in 2050, the water discharge in the flood season (in November) is 584 m3/s, which higher than the largest flood in 2009 of 450 m3/s.

scholarly journals PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model

2018 ◽  
Vol 11 (6) ◽  
pp. 2429-2453 ◽  
Author(s):  
Edwin H. Sutanudjaja ◽  
Rens van Beek ◽  
Niko Wanders ◽  
Yoshihide Wada ◽  
Joyce H. C. Bosmans ◽  
...  
Keyword(s):  
Surface Water ◽  
Water Resources ◽  
Model Performance ◽  
Water Withdrawal ◽  
Groundwater Depletion ◽  
Total Water ◽  
Time Step ◽  
Discharge Data ◽  
Source Codes ◽  
Model Components

Abstract. We present PCR-GLOBWB 2, a global hydrology and water resources model. Compared to previous versions of PCR-GLOBWB, this version fully integrates water use. Sector-specific water demand, groundwater and surface water withdrawal, water consumption, and return flows are dynamically calculated at every time step and interact directly with the simulated hydrology. PCR-GLOBWB 2 has been fully rewritten in Python and PCRaster Python and has a modular structure, allowing easier replacement, maintenance, and development of model components. PCR-GLOBWB 2 has been implemented at 5 arcmin resolution, but a version parameterized at 30 arcmin resolution is also available. Both versions are available as open-source codes on https://github.com/UU-Hydro/PCR-GLOBWB_model (Sutanudjaja et al., 2017a). PCR-GLOBWB 2 has its own routines for groundwater dynamics and surface water routing. These relatively simple routines can alternatively be replaced by dynamically coupling PCR-GLOBWB 2 to a global two-layer groundwater model and 1-D–2-D hydrodynamic models. Here, we describe the main components of the model, compare results of the 30 and 5 arcmin versions, and evaluate their model performance using Global Runoff Data Centre discharge data. Results show that model performance of the 5 arcmin version is notably better than that of the 30 arcmin version. Furthermore, we compare simulated time series of total water storage (TWS) of the 5 arcmin model with those observed with GRACE, showing similar negative trends in areas of prevalent groundwater depletion. Also, we find that simulated total water withdrawal matches reasonably well with reported water withdrawal from AQUASTAT, while water withdrawal by source and sector provide mixed results.

scholarly journals Assessing the impacts of climate change on water resources in the Srepok watershed, Central Highland of Vietnam

2017 ◽  
Vol 8 (3) ◽  
pp. 524-534 ◽  
Author(s):  
Nguyen Thi Huyen ◽  
Le Hoang Tu ◽  
Vo Ngoc Quynh Tram ◽  
Duong Ngoc Minh ◽  
Nguyen Duy Liem ◽  
...  
Keyword(s):  
Climate Change ◽  
Economic Development ◽  
Water Resources ◽  
Water Discharge ◽  
Climate Change Scenarios ◽  
The Third ◽  
Central Highland ◽  
Annual Water ◽  
Annual Water Discharge ◽  
Second Period

The Srepok watershed in the Central Highland of Vietnam plays an important role in the economic development of the region. Any harmful effects of climate change on natural resources may cause difficulties for social and economic development in this area. The present study aims to predict and evaluate changes of water resources in the Srepok watershed under the impact of climate change scenarios by using the soil and water assessment tool (SWAT) model. The study used observed weather data from 1990 to 2010 for the first period and climate change scenarios A1B and A2 from 2011 to 2039 for the second period and from 2040 to 2069 for the third period. According to the climate change scenarios of the studied watershed, future minimum and maximum daily average temperature will rise in all climate change scenarios and the amount of annual precipitation will fall in scenario A1B and go up in scenario A2. Based on the simulation results, the annual water discharge in scenario A1B decreased by 11.1% and 1.2% during the second and third periods, respectively, compared with the first. In scenario A2, annual water discharge increased by 2.4% during the second period but decreased by 1.8% during the third period.

scholarly journals Determination of Tank Model Parameters with Four Series Structure in Rokan Watershed

2019 ◽  
Vol 5 (2) ◽  
pp. 85-92
Author(s):  
Manyuk Fauzi ◽  
Yohanna Lilis Handayani ◽  
Annisa Destiany
Keyword(s):  
Water Resources ◽  
Water Availability ◽  
Flow Analysis ◽  
Daily Rainfall ◽  
Surface Flow ◽  
Base Flow ◽  
Low Flow ◽  
Model Parameters ◽  
Tank Model ◽  
Discharge Data

Information about low flow and water availability is one of the important factors in the management of water resources. The Rokan River Basin as one of the water resources in Riau Province is very important to know the condition of its water availability. One conceptual hydrological model for low flow analysis is the Tank Model developed by Sugawara. Data input needed in this research is daily rainfall data at Pasar Tangun Station, climatology data at Rambah Utama station and discharge data at AWLR Pasir Pengaraian. Model parameter search in the calibration stage is by trial and error. Using a 90% confidence interval a range of parameter values for the tank model is obtained, which is special for production store are surface flow 150.81 mm ≤ H1 ≤ 204.75 mm, intermediate flow 156.74 mm ≤ H2 ≤ 194.37 mm, sub base flow 141.24 mm ≤ H3 ≤ 176, 54 mm and base flow 139.43 mm ≤ H4 ≤ 176.12 mm.

scholarly journals Can We Calibrate a Daily Time-Step Hydrological Model Using Monthly Time-Step Discharge Data?

Water ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1750 ◽  
Author(s):  
Soham Adla ◽  
Shivam Tripathi ◽  
Markus Disse
Keyword(s):  
Hydrological Modeling ◽  
Hydrological Model ◽  
Swat Model ◽  
Computation Time ◽  
Agricultural Watershed ◽  
Coefficient Of Determination ◽  
Computational Time ◽  
Time Step ◽  
Discharge Data ◽  
Monthly Data

Hydrological models are generally calibrated at longer time-steps (monthly, seasonal, or annual) than their computational time-step (daily), because of better calibration performance, lower computational requirements, and the lack of reliable temporally-fine observed discharge data (particularly in developing countries). The consequences of having different calibration and computation time-steps on model performance have not been extensively investigated. This study uses the Soil and Water Assessment Tool (SWAT) model to explore the correctness of calibrating a hydrological model at the monthly time-step even if the problem statement is suited to monthly modeling. Multiple SWAT models were set up for an agricultural watershed in the Indo-Gangetic basin. The models were calibrated with observed discharge data of different time-steps (daily and monthly) and were validated on data with the same or different time-steps. Intra- and inter-decadal comparisons were conducted to reinforce the results. The models calibrated on monthly data marginally outperformed the models calibrated on daily data when validated on monthly data, in terms of P- f a c t o r , R- f a c t o r , the coefficient of determination ( R 2 ), and Nash–Sutcliffe Efficiency ( N S E ). However, the monthly-calibrated models performed poorly as compared to daily-calibrated models when validated on daily discharge data. Moreover, the daily simulations from the monthly-calibrated models were unrealistic. Analysis of the calibrated parameters revealed that the daily- and monthly-calibrated models differed significantly in terms of parameters governing channel and groundwater processes. Thus, though the monthly-calibrated model captures the patterns in monthly discharge data fairly well, it fails to characterize daily rainfall-runoff processes. The results challenge the existing practice of using different calibration and computation time-steps in hydrological modeling, and suggest that the two time-steps should be the same, irrespective of the time-step required for modeling.

Assessing the water resources vulnerability of Ouergha catchment under climate change projection

2021 ◽  
Author(s):  
Kaoutar Mounir ◽  
Haykel Sellami ◽  
Imen El Ghoul ◽  
Abdessalam El Khanchoufi ◽  
Isabelle La Jeunesse
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
Climate Models ◽  
Hydrological Cycle ◽  
Swat Model ◽  
Environmental Research ◽  
Model Parameters ◽  
Climate Change Scenarios ◽  
Time Step ◽  
Mediterranean Countries

<p>Climate change scenarios predict water scarcity in Mediterranean region, particularly in areas that are exposed to weather related disasters (drought, flood...) (IPCC, 2014). These changes will most likely impact food security by altering the hydrological cycle and water availability. Considering that water is the economic engine of the Mediterranean countries that rely especially on agricultural production, several studies have been focused on understanding and quantifying the climate change effects on hydrological regime. In addition, the complexity of these impacts can be due also to a bad resources management that can hinder the countries’ development (Marin M., 2020). To study the hydrological function of the Ouergha watershed, the SWAT model was used to simulate daily runoff response for the period 1997-2017, including three years (1993-1997) for the warming-up of the model. Calibration and validation of the model were applied for the period 1997-2017 using the SUFI-2 algorithm, and the simulation estimates the water flows of the Ouergha basin in a monthly time step. The water balance indicates a predominance of evaporation losses accounting for 41% of total rainfall. Runoff represents 8% of precipitation while lateral flow is 7%. The remainder is distributed between the 5% deep aquifer recharge and percolation, in addition to the flow to the river which represents about 39%. The Swat model is considered as suitable tool for the management of water resources even though under changing climatic conditions, it’s prone to errors and uncertainties that needs to be assessed to make full benefits from this model challenging (Sellami H., 2014).To analyze these uncertainties a modelling approach based on the combination of hydrological model and a set of high resolution CORDEX climate models has been developed. The results are considered as a decision-making tool for local and regional actors.</p><p><strong>References :</strong></p><p>IPCC. (2014). Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, R.K. Pachauri and L.A. Meyer (eds.)]. IPCC, Geneva, Switzerland, 151 pp.</p><p>Marin M., C. L. (2020). Assessing the vulnerability of water resources in the context of climate changes in a small forested watershed using SWAT: A review. Environmental Research,. doi:https://doi.org/10.1016/j.envres.2020.109330.</p><p>Sellami H., L. J. (2014). France), Uncertainty analysis in model parameters regionalization: a case study involving the SWAT model in Mediterranean catchments (Southern. Hydrology and Earth System Sciences, 18, 2393–2413. doi:doi:10.5194/hess-18-2393-201.</p>

scholarly journals PCR-GLOBWB 2: a 5 arc-minute global hydrological and water resources model

2017 ◽  
Author(s):  
Edwin H. Sutanudjaja ◽  
Rens van Beek ◽  
Niko Wanders ◽  
Yoshihide Wada ◽  
Joyce H. C. Bosmans ◽  
...  
Keyword(s):  
Surface Water ◽  
Water Resources ◽  
Model Performance ◽  
Water Withdrawal ◽  
Groundwater Depletion ◽  
Time Step ◽  
Discharge Data ◽  
Source Codes ◽  
Model Components ◽  
Main Components

Abstract. We present PCR-GLOBWB 2, a global hydrology and water resources model. Compared to previous versions of PCR-GLOBWB, this version fully integrates water use. Sector-specific water demand, groundwater and surface water withdrawal, water consumption and return flows are dynamically calculated at every time step and interact directly with the simulated hydrology. PCR-GLOBWB 2 has been fully rewritten in Python and PCRaster-Python and has a modular structure, allowing easier replacement, maintenance, and development of model components. PCR-GLOBWB 2 has been implemented at 5 arc-minute resolution, but a version parameterized at 30 arc-minute resolution is also available. Both versions are available as open source codes on https://github.com/UU-Hydro/PCR-GLOBWB_model. PCR-GLOBWB 2 has its own routines for groundwater dynamics and surface water routing. These relatively simple routines can alternatively be replaced by dynamically coupling PCR-GLOBWB 2 to a global two-layer groundwater model and 1D-2D-hydrodynamic models, respectively. Here, we describe the main components of the model, compare results of the 30 arcminute and the 5 arc-minute versions and evaluate their model performance using GRDC discharge data. Results show that model performance of the 5 arc-minute version is notably better than that of the 30 arc-minute version. Furthermore, we compare simulated time series of total water storage (TWS) of the 5 arc-minute model with those observed with GRACE, showing similar negative trends in areas of prevalent groundwater depletion. Also, we find that simulated water withdrawal, by source and sector, matches reasonably well with reported water withdrawal from AQUASTAT.

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