Tanachaichoksirikun, Pinit
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Tanachaichoksirikun, Pinit
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pinit.ta@kmitl.ac.th
14 results
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Item type:Publication, Design and Implementation of a Hybrid Real-Time Salinity Intrusion Monitoring and Early Warning System for Bang Kachao, Thailand(2025-07-01); ; ; Sirikaew, UbaSalinity intrusion is a growing threat to freshwater resources, particularly in low-lying coastal and estuarine regions, necessitating the development of effective early warning systems (EWS) to support timely mitigation. Although various water quality monitoring technologies exist, many face challenges related to long-term sustainability, ongoing maintenance, and accessibility for local users. This study introduces a novel hybrid real-time salinity intrusion early warning system that uniquely integrates fixed and portable monitoring technologies with strong community participation—an approach not yet widely applied in comparable urban-adjacent delta regions. Unlike traditional systems, this model emphasizes local ownership, flexible data collection, and system scalability in resource-constrained environments. This study presents a real-time salinity intrusion early warning system for Bang Kachao, Thailand, combining eight fixed monitoring stations and 20 portable salinity measurement devices. The system was developed in response to community needs, with local input guiding both station placement and the design of mobile measurement tools. By integrating fixed stations for continuous, high-resolution data collection with portable devices for flexible, on-demand monitoring, the system achieves comprehensive spatial coverage and adaptability. A core innovation lies in its emphasis on community participation, enabling villagers to actively engage in monitoring and decision-making. The use of IoT-based sensors, Remote Telemetry Units (RTUs), and cloud-based data platforms further enhances system reliability, efficiency, and accessibility. Automated alerts are issued when salinity thresholds are exceeded, supporting timely interventions. Field deployment and testing over a seven-month period confirmed the system’s effectiveness, with fixed stations achieving 90.5% accuracy and portable devices 88.7% accuracy in detecting salinity intrusions. These results underscore the feasibility and value of a hybrid, community-driven monitoring approach for protecting freshwater resources and building local resilience in vulnerable regions. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, FLOOD AND DROUGHT PRELIMINARY ASSESSMENT IN THE BANG PAKONG RIVER BASIN USING THE WEIGHED FACTOR INDEX METHOD(2025-01-01); ;Jiao, Jinghan ;Sirikaew, UbaThis research is dedicated to forecasting flood and drought assessment in the Bang Pakong River Basin through a weighted factor index method. The study employed geographic information systems to prioritize and create hazard maps. The maps integrated both natural elements, for example, average annual rainfall, temperature, terrain slope, and forest area, as well as human-made elements such as land use, water body, and irrigation area. The Gumbel distribution method was used to generate the future rainfall and temperature. The study predicts future flood and drought assessment areas based on maximum average precipitation and temperature. The findings reveal a distributed spectrum of risk levels, ranging from no risk to very high risk. Currently, moderate risks of floods and droughts exist in certain areas. However, projections indicate a significant increase in flood-prone regions over 5-year, 10-year, and 15-year return periods, attributed to escalating average rainfall. Conversely, while drought-prone areas encompass approximately 27.5% of the watershed, there is a notable rise in high-risk zones alongside a decrease in moderate-risk areas due to rising temperatures. These insights underscore the imperative of proactive interventions to address the escalating threats posed by floods and droughts in the Bang Pakong River Basin. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Impact of climate change on soil erosion in the lam phra phloeng watershed(2020-12-01) ;Sirikaew, Uba; ; ;Wattanasetpong, JatuwatChulkaivalsucharit, VirunSoil erosion plays a vital role in reducing reservoir capacity. The Lam Phra Phloeng (LPP) dams were built for flood protection and irrigation. However, they have experienced reservoir sedimentation, and the capacity of the reservoir has decreased. The surrounding soil surface was easily eroded and transported by heavy rainfall and surface runoff to streams and eventually into the reservoir. Understanding this soil erosion and sedimentation is necessary for preventing further decline of reservoir capacity and water management. This research aims to estimate long-term average annual soil erosion and predict sediment yield in the reservoir due to climate change. The methodology is determined soil loss parameters and sediment yield using the Universal Soil Loss Equation (USLE) with the Sediment Delivery Ratio (SDR). The USLE and SDR methods differed from field data, with an average absolute error of 4.0%. The Global Climatic Model, Institute Pierre Simon Laplace-Climate Model version 5A (IPSL-CM5A-MR), with Representative Concentration Pathways (RCP) 2.6, 4.5, and 8.5, was downscaled and analyzed to forecast future rainfall in the watershed. The high intensity of rainfall contributed to higher soil erosion, in RCP 8.5. Interestingly, the high and very high-risk areas increased, but the moderate risk area declined, indicating that the moderate risk area should be a priority in land management. However, the heavy rainfall and high slope gradient led to a slight increase in the soil erosion in some areas because the land covers were evergreen and deciduous forest. The prediction of sediment yield was positively correlated with the intensity of rainfall in the central part of the watershed, because the rainfall and runoff led the sediment to the river and streams, indicating that the land cover should be managed to prevent capacity decline. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Identifying Water Source Locations on a Data-Limited Small Island Using GIS and the Factor Index Method(2026-06-01); ;Horpeancharoen, Witthawin ;Sirikaew, Uba; Chulkaivalsucharit, VirunThis study presents an integrated methodological framework for identifying potential freshwater source locations on data-limited small islands by combining Geographic Information Systems (GIS), the Soil and Water Assessment Tool (SWAT), and the Factor Index Method. The analytical workflow begins with processing spatial data (topography and land use) in a GIS environment to delineate initial watersheds. These inputs are then coupled with the SWAT model to simulate key hydrological output variables, such as surface runoff and stream network geometry, without requiring extensive historical streamflow data. The simulated outputs are subsequently reintegrated into the GIS environment to derive spatial attributes for each sub-basin. Subsequently, the Factor Index Method is applied to evaluate and rank the sub-basins using five key criteria: watershed area ratio, stream length ratio, slope, land use, and location accessibility. The analysis identified eight optimal sites, with field surveys confirming that four of these locations closely aligned with natural stream networks and existing spring-fed ponds. The results demonstrate that this approach can accurately delineate hydrological features and prioritize monitoring locations without extensive field data. By validating geospatial predictions through ground-truthing, this framework reduces the need for costly and time-consuming fieldwork. It enhances planning precision, supports efficient resource allocation, and can serve as a replicable model for sustainable water resource management on other small islands with similar data constraints. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, MANAGED AQUIFER RECHARGE FEASIBILITY USING WEIGHT FACTOR INDEX METHOD IN SUPHANBURI, THAILAND(2025-01-01); ;Xiao, Xi ;Sirikaew, UbaManaged Aquifer Recharge (MAR) is a technique used to intentionally enhance groundwater recharge by directing surface water or treated wastewater into underground aquifers. MAR offers several advantages for sustainable water resources management and ecosystems, namely, groundwater replenishment, drought resilience, and flood protection. Suphanburi Thailand faced challenges related to both floods and droughts because of variable rainfall patterns and hydrological conditions. Then, MAR is a good challenge for flood control and drought protection. This research aims to develop the model and find the optimal location and recharge type for set-managed aquifer recharge in Suphanburi, Thailand. Data, such as climate, land used, hydrology, and hydrogeology were carried out and provided the optional location to construct MAR. The model was developed using the Weight Factor Index Method. The results revealed that the suitable location for MAR was in the Tha Chin River area, due to the high rainfall, which allows for the storage of large quantities of water during the rainy season in the MAR in the event of groundwater shortages. Proper recharge of the river can dilute contaminants in groundwater and improve groundwater quality. The findings provided valuable guidelines for planners, decision-makers, and hydrogeologists in designing future artificial recharge projects within a similar area, ensuring a reliable water supply and the sustainable use of groundwater over the long term. In conclusion, the integration of WFI and GIS is recognized as an effective method for limited data, and location, and reducing errors. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Modelling Water Distribution Strategies for a Data-Limited Small Island Using EPANET: Technical and Policy Insights from Si Chang Island, Thailand(2026-05-01)Small islands often face chronic water shortages due to limited storage capacity, seasonal variability, and growing demand from tourism and urbanization. Si Chang Island, Thailand, experiences severe dry-season water scarcity, requiring improved water supply planning. This study applies the EPANET hydraulic modelling tool to design and evaluate water distribution networks under two scenarios: (1) a surface water supply system from the Si Chang Reservoir, and (2) a groundwater-based system near the island’s football field. Using Darcy–Weisbach head loss calculations and demand estimates, we assessed flow velocity, pressure, and construction costs. Both systems met design criteria, but the reservoir-based option achieved better cost efficiency (2.81%) and reliable pressure (minimum 15.05 m) with an average velocity of 1.20 m/s. The system can supply approximately 130% of the estimated demand, corresponding to a surplus capacity of about 30%. The findings demonstrate how hydraulic modelling can guide infrastructure planning for small, data-limited islands. Integrating technical design with policy considerations enhances the reliability, cost-effectiveness, and resilience of water supply systems. The approach presented herein offers a practical framework for decision-makers addressing water scarcity challenges on small islands worldwide. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Distributions of groundwater age under climate change of thailand’s lower chao phraya basin(2020-12-01); Groundwater is important for daily life, because it is the largest freshwater source for domestic use and industrial consumption. Sustainable groundwater depends on many parameters: climate change is one factor, which leads to floods and droughts. Distribution of groundwater age indicates groundwater velocity, recharge rate and risk assessment. We developed transient 3D mathematical models, i.e., MODFLOW and MODPATH, to measure the distributions of groundwater age, impacted by climate change (IPSL-CM5A-MR), based on representative concentration pathways, defined in terms of atmospheric CO<inf>2</inf> concentration, e.g., 2.6 to 8.5, for the periods 2020 to 2099. The distributions of groundwater age varied from 100 to 100,000 years, with the mean groundwater age ~11,000 years, generated by climate led change in recharge to and pumping from the groundwater. Interestingly, under increasing recharge scenarios, the mean age, in the groundwater age distribution, decreased slightly in the shallow aquifers, but increased in deep aquifers, indicating that the new water was in shallow aquifers. On the other hand, under decreasing recharge scenarios, groundwater age increased significantly, both shallow and deep aquifers, because the decrease in recharge caused longer residence times and lower velocity flows. However, the overall mean groundwater age gradually increased, because the groundwater mixed in both shallow and deep aquifers. Decreased recharge, in simulation, led to increased groundwater age; thus groundwater may become a nonrenewable groundwater. Nonrenewable groundwater should be carefully managed, because, if old groundwater is pumped, it cannot be restored, with a detriment to human life. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Integrated Shoreline Dynamics Assessment Using QSCAT and Random Forest Along the Phetchaburi Coastline, Thailand(2026-01-01); ;Limpakdeeswat, Kanana; Silarom, KornvisithThe Phetchaburi coastline faces significant erosion risks, exacerbated by human activities and climate change. This research evaluates shoreline shifts and mangrove cover modifications along the 88.5 km coastline, utilizing the QGIS Shoreline Change Assessment Tool (QSCAT) plugin and Random Forest (RF) classification on Landsat 8-9 OLI/TIRS images from 2017 to 2023. The integration of these methods provides a robust framework for monitoring coastal changes in a data-scarce, microtidal environment. Results indicate a highly dynamic coastline with a maximum erosion distance of -108.71 m and a maximum accretion of +122.95 m. Statistical analysis of 1,766 transects reveals a critical erosion trend, with a maximum erosion rate reaching -38.66 m/year. Overall, 50.74% of the transects experienced erosion, while 48.98% showed accretion. The RF model demonstrated high effectiveness in land use classification, achieving an overall accuracy of 96.50% and a Kappa coefficient of 0.92. Spatiotemporal analysis reveals a strong link between mangrove degradation and increased erosion zones, emphasizing the protective function of vegetation. These findings provide essential quantitative benchmarks for developing targeted coastal management and restoration strategies in the Gulf of Thailand. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, GROUNDWATER VULNERABILITY OF THAILAND’S LOWER CHAO PHRAYA BASIN(2020-01-01); Since global warming effects water resources, especially, surface water sources, groundwater is an essential water source, when facing the critical drought. Groundwater is less sensitive than surface water because groundwater response is delayed. However, groundwater may face critical drought and shortage. Groundwater vulnerability is a tool to identify critical areas for maintaining water quantity and quality. The Fuzzy-Catastrophe-based DRASTIC model, drought persistence and several climate scenarios were combined to estimate the vulnerability on the confined aquifers of Thailand’s Lower Chao Phraya (LCP) basin. Thus, critical areas that may face groundwater shortage were identified. Our analysis predicted that most of the basin would have few effects on climate change. However, vulnerability maps showed that 5% of the basin may be critical areas that may show groundwater shortage, especially, drought persistent areas with low rainfall. Generated maps identify ‘hotspots’ and can help decisions on groundwater development and economic growth and aid planning policy. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, ALTERNATIVE APPROACH TO GROUNDWATER MODELING IN DATA-DEFICIENT REGIONS(2025-01-01); ; ;Sirikaew, UbaGroundwater modeling served as a valuable tool for understanding groundwater flow patterns and systems. In the lack of observational data region, the complexity of the groundwater aquifer posed challenges, limiting the accuracy of real-time predictions of groundwater levels. To address this problem, alternative approaches must be devised to effectively calculate groundwater flow and budget. This entails leveraging factors such as the environment, geological characteristics, as well as recharge and discharge areas to align with regional groundwater flow theories. In this study, a three-dimensional groundwater simulation model was employed to develop groundwater flow and budget using data available in 2023. The model calibration and validation processes demonstrated a close correspondence between observed and simulated hydraulic head data. Sensitivity analysis revealed that boundaries and recharge significantly influenced model outcomes. The water budget conducted under steady flow conditions highlighted the lateral groundwater inflow in the aquifer layer as a crucial recharge component. Additionally, groundwater flow from recharge to discharge zones emerged as a pivotal aspect, particularly in areas with intensive development activities. These findings held implications for groundwater management models, serving as indispensable tools for informed decision-making and alternative considerations.
