scholarly journals Statistical evaluation and hydrologic simulation capacity of different satellite-based precipitation products (SbPPs) in the Upper Nan River Basin, Northern Thailand

2020 ◽  
Vol 32 ◽  
pp. 100743
Author(s):  
Miyuru B. Gunathilake ◽  
Yasasna V. Amaratunga ◽  
Anushka Perera ◽  
Chamaka Karunanayake ◽  
Anura S. Gunathilake ◽  
...  
Keyword(s):  
River Basin ◽  
Statistical Evaluation ◽  
Hydrologic Simulation ◽  
Northern Thailand

scholarly journals Geochemical and statistical evaluation of groundwater in the Thamirabarani river basin, south India

2021 ◽  
Author(s):  
Gajendran Chellaiah ◽  
Basker ◽  
Hima Pravin ◽  
Suneel Kumar Joshi ◽  
Sneha Gautam
Keyword(s):  
River Basin ◽  
Tamil Nadu ◽  
Statistical Evaluation ◽  
Anthropogenic Activities ◽  
Monsoon Season ◽  
Principal Component ◽  
Chloride Ion ◽  
Temporal Analysis ◽  
Point Sources ◽  
International Standards

Abstract In the present study, an attempt has been made to develop the dictate metrics using a multi-proxy approach, i.e., spatial-temporal analysis, statistical evaluation, and hydrogeochemical analysis for 45 water samples located in the Thamirabarani river basin in Tamil Nadu, India. In order to evaluate the aptness of developed metrics for agriculture and domestic needs, eleven years dataset was analyzed and compared with national and international standards. Monitoring and analysis results revealed that the concentration of calcium and chloride ion was on the higher side in all the selected locations. These higher values may be attributed to the regional point sources such as untreated water disposal and off-peak sources such as agriculture practices. The principal component analysis resulted in 84.2% of the total variance in the post-monsoon season dataset. The major analyzed cations and anions were observed in the following order: Na+> Ca2+> Mg2+> K+ and Cl−> HCO3−> SO42−> NO3−, respectively. Overall, this study revealed that the studied area's groundwater quality was significantly affected by the high salinity in the region, probably due to anthropogenic activities and unprotected river sites.

Scale Dependency of Hydrological Characteristics in the Upper Ping River Basin, Northern Thailand

2007 ◽  
pp. 67-74 ◽  
Author(s):  
Koichiro Kuraji ◽  
Kowit Punyatrong ◽  
Issara Sirisaiyard ◽  
Chatchai Tantasirin ◽  
Nobuaki Tanaka
Keyword(s):  
River Basin ◽  
Scale Dependency ◽  
Northern Thailand ◽  
Hydrological Characteristics

scholarly journals Evaluation of Future Climate and Potential Impact on Streamflow in the Upper Nan River Basin of Northern Thailand

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Miyuru B. Gunathilake ◽  
Yasasna V. Amaratunga ◽  
Anushka Perera ◽  
Imiya M. Chathuranika ◽  
Anura S. Gunathilake ◽  
...  
Keyword(s):  
River Basin ◽  
Minimum Temperature ◽  
Climate Models ◽  
Hydrological Modeling ◽  
Winter Season ◽  
Future Climate ◽  
Maximum Temperature ◽  
Monthly Precipitation ◽  
Northern Thailand ◽  
The Impact

Water resources in Northern Thailand have been less explored with regard to the impact on hydrology that the future climate would have. For this study, three regional climate models (RCMs) from the Coordinated Regional Downscaling Experiment (CORDEX) of Coupled Model Intercomparison Project 5 (CMIP5) were used to project future climate of the upper Nan River basin. Future climate data of ACCESS_CCAM, MPI_ESM_CCAM, and CNRM_CCAM under Representation Concentration Pathways RCP4.5 and RCP8.5 were bias-corrected by the linear scaling method and subsequently drove the Hydrological Engineering Center-Hydrological Modeling System (HEC-HMS) to simulate future streamflow. This study compared baseline (1988–2005) climate and streamflow values with future time scales during 2020–2039 (2030s), 2040–2069 (2050s), and 2070–2099 (2080s). The upper Nan River basin will become warmer in future with highest increases in the maximum temperature of 3.8°C/year for MPI_ESM and minimum temperature of 3.6°C/year for ACCESS_CCAM under RCP8.5 during 2080s. The magnitude of changes and directions in mean monthly precipitation varies, with the highest increase of 109 mm for ACESSS_CCAM under RCP 4.5 in September and highest decrease of 77 mm in July for CNRM, during 2080s. Average of RCM combinations shows that decreases will be in ranges of −5.5 to −48.9% for annual flows, −31 to −47% for rainy season flows, and −47 to −67% for winter season flows. Increases in summer seasonal flows will be between 14 and 58%. Projection of future temperature levels indicates that higher increases will be during the latter part of the 20th century, and in general, the increases in the minimum temperature will be higher than those in the maximum temperature. The results of this study will be useful for river basin planners and government agencies to develop sustainable water management strategies and adaptation options to offset negative impacts of future changes in climate. In addition, the results will also be valuable for agriculturists and hydropower planners.

Evaluation of global land use/land cover products for hydrologic simulation in the Upper Yom River Basin, Thailand

2020 ◽  
Vol 708 ◽  
pp. 135148 ◽  
Author(s):  
Chirayut Chirachawala ◽  
Sangam Shrestha ◽  
Mukand S. Babel ◽  
Salvatore G.P. Virdis ◽  
Supattana Wichakul
Keyword(s):  
Land Use ◽  
Land Cover ◽  
River Basin ◽  
Land Use Land Cover ◽  
Hydrologic Simulation ◽  
Global Land

scholarly journals Hydrologic assessment of the TMPA 3B42-V7 product in a typical alpine and gorge region: the Lancang River basin, China

2018 ◽  
Vol 49 (6) ◽  
pp. 2002-2015 ◽  
Author(s):  
Zhaoli Wang ◽  
Jiachao Chen ◽  
Chengguang Lai ◽  
Ruida Zhong ◽  
Xiaohong Chen ◽  
...  
Keyword(s):  
River Basin ◽  
Hydrological Model ◽  
Hydrologic Simulation ◽  
Infiltration Capacity ◽  
Simulation Accuracy ◽  
Lancang River ◽  
The Lancang River Basin ◽  
Light Precipitation ◽  
Streamflow Simulation ◽  
Precipitation Events

Abstract To evaluate the accuracy and applicability of the TMPA 3B42-V7 precipitation product for the Lancang River basin, we used different statistical indices to explore the performance of the product in comparison to gauge data. Then, we performed a hydrologic simulation using the Variable Infiltration Capacity (VIC) hydrological model with two scenarios (Scenario I: streamflow simulation using gauge-calibrated parameters; Scenario II: streamflow simulation using 3B42-V7-recalibrated parameters) to verify the applicability of the product. The results of the precipitation analysis show good accuracy of the V7 precipitation data. The accuracy increases with the increase of both space and time scales, while time scale increases cause a stronger effect. The satellite can accurately measure most of the precipitation but tends to misidentify non-precipitation events as light precipitation events (<1 mm/day). The results of the hydrologic simulation show that the VIC hydrological model has good applicability for the Lancang River basin. However, 3B42-V7 data did not perform as well under Scenario I with the lowest Nash–Sutcliffe coefficient of efficiency (NSCE) of 0.42; Scenario II suggests that the error drops significantly and the NSCE increases to 0.70 or beyond. In addition, the simulation accuracy increases with increased temporal scale.

scholarly journals Performance evaluation of multiple satellite rainfall products for Dhidhessa River Basin (DRB), Ethiopia

2020 ◽  
Author(s):  
Gizachew Kabite Wedajo ◽  
Misgana Kebede Muleta ◽  
Berhan Gessesse Awoke
Keyword(s):  
Performance Evaluation ◽  
River Basin ◽  
Rainfall Variability ◽  
Spatiotemporal Variability ◽  
Analysis Tool ◽  
Hydrologic Simulation ◽  
Hydrologic Modelling ◽  
Rain Gauges ◽  
Groundwater Flux ◽  
Many Sources

Abstract. Precipitation is a crucial driver of hydrological processes. Ironically, reliable characterization of its spatiotemporal variability is challenging. Ground-based rainfall measurements using rain gauges can be more accurate. However, installing a dense gauging network to capture rainfall variability can be impractical. Satellite-based rainfall estimates (SREs) can be good alternatives, especially for data-scarce basins like in Ethiopia. However, SREs rainfall is plagued with uncertainties arising from many sources. The objective of this study was to evaluate the performance of the latest versions of several SREs products (i.e., CHIRPS2, IMERG6, TAMSAT3, and 3B42/3) for the Dhidhessa River Basin (DRB). Both statistical and hydrologic modelling approaches were used for performance evaluation. The Soil and Water Analysis Tool (SWAT) was used for hydrological simulations. The results showed that whereas all four SREs products are promising to estimate and detect rainfall for the DRB, the CHIRPS2 dataset performed the best at annual, seasonal, and monthly timescales. The hydrologic simulation-based evaluation showed that SWAT's calibration results are sensitive to the rainfall dataset. The hydrologic response of the basin is found to be dominated by the subsurface processes, primarily by the groundwater flux. Overall, the study showed that both CHIRPS2 and IMERG6 products can be reliable rainfall data sources for hydrologic analysis of the Dhidhessa River Basin.

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