8 research outputs found

    āļāļēāļĢāļˆāļģāļĨāļ­āļ‡āļœāļĨāļāļĢāļ°āļ—āļšāļ‚āļ­āļ‡āļāļēāļĒāļŦāļīāļ™āļ—āļīāđ‰āļ‡āļ•āđˆāļ­āļŠāļąāļ“āļāļēāļ™āļ§āļīāļ—āļĒāļēāļ‚āļ­āļ‡āđāļĄāđˆāļ™āđ‰āļģāļĨāļģāļ āļēāļŠāļĩModeling of the Impact of the Rock Fill Weir on River Morphology of Lam Pha Chi River

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    āđ‚āļ„āļĢāļ‡āļāļēāļĢāļ§āļīāļˆāļąāļĒāļ™āļĩāđ‰āđ€āļ›āđ‡āļ™āļāļēāļĢāļ›āļĢāļ°āļĒāļļāļāļ•āđŒāđƒāļŠāđ‰āđāļšāļšāļˆāļģāļĨāļ­āļ‡āļ„āļ“āļīāļ•āļĻāļēāļŠāļ•āļĢāđŒ iRIC Nays2DH āđ€āļžāļ·āđˆāļ­āļāļēāļĢāļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒāļœāļĨāļāļĢāļ°āļ—āļšāļ”āđ‰āļēāļ™āļŠāļąāļ“āļāļēāļ™āļ§āļīāļ—āļĒāļēāđāļĄāđˆāļ™āđ‰āļģāđƒāļ™āļ›āļąāļˆāļˆāļļāļšāļąāļ™āđāļĨāļ°āļ—āļģāļ™āļēāļĒāļœāļĨāļāļĢāļ°āļ—āļšāđƒāļ™āļ­āļ™āļēāļ„āļ•āļĢāđˆāļ§āļĄāļāļąāļšāļāļēāļĢāļŦāļēāļĄāļēāļ•āļĢāļāļēāļĢāļĨāļ”āļœāļĨāļāļĢāļ°āļ—āļšāļ—āļĩāđˆāđ€āļŦāļĄāļēāļ°āļŠāļĄāđāļĨāļ°āļĒāļąāđˆāļ‡āļĒāļ·āļ™āļŠāļģāļŦāļĢāļąāļšāđāļĄāđˆāļ™āđ‰āļģāļĨāļģāļ āļēāļŠāļĩāļšāļĢāļīāđ€āļ§āļ“āļ­āļģāđ€āļ āļ­āļ”āđˆāļēāļ™āļĄāļ°āļ‚āļēāļĄāđ€āļ•āļĩāđ‰āļĒ āļˆāļąāļ‡āļŦāļ§āļąāļ”āļāļēāļāļˆāļ™āļšāļļāļĢāļĩ āđ‚āļ”āļĒāļ‚āđ‰āļ­āļĄāļđāļĨāļĢāļđāļ›āļ•āļąāļ”āļ‚āļ§āļēāļ‡āļĨāļģāļ™āđ‰āļģāļ‚āļ­āļ‡āđāļĄāđˆāļ™āđ‰āļģāļĨāļģāļ āļēāļŠāļĩāļŠāļģāļĢāļ§āļˆāđ„āļ”āđ‰āđƒāļ™āļŠāđˆāļ§āļ‡āđ€āļ”āļ·āļ­āļ™āļ˜āļąāļ™āļ§āļēāļ„āļĄ 2561 āļĄāļĩāļˆāļģāļ™āļ§āļ™ 89 āļĢāļđāļ›āļ•āļąāļ” āđāļĨāļ°āļĄāļĩāļ„āļ§āļēāļĄāļĒāļēāļ§āļĨāļģāļ™āđ‰āļģāđ€āļ—āđˆāļēāļāļąāļš 2.145 āļāļīāđ‚āļĨāđ€āļĄāļ•āļĢ āđ‚āļ”āļĒāļĄāļĩāļĢāļ°āļĒāļ°āļŦāđˆāļēāļ‡āļĢāļ°āļŦāļ§āđˆāļēāļ‡āļĢāļđāļ›āļ•āļąāļ”āļ—āļļāļāđ† 25 āđ€āļĄāļ•āļĢ āļŠāļģāļŦāļĢāļąāļšāļāļēāļĢāļ›āļĢāļąāļšāđ€āļ—āļĩāļĒāļšāđāļĨāļ°āļ•āļĢāļ§āļˆāļžāļīāļŠāļđāļˆāļ™āđŒāđāļšāļšāļˆāļģāļĨāļ­āļ‡āđ„āļ”āđ‰āļˆāļēāļāļāļēāļĢāđ€āļ›āļĢāļĩāļĒāļšāđ€āļ—āļĩāļĒāļšāļ‚āđ‰āļ­āļĄāļđāļĨāļĢāļ°āļ”āļąāļšāļ™āđ‰āļģāļĢāļēāļĒāļŠāļąāđˆāļ§āđ‚āļĄāļ‡āļ—āļĩāđˆāđ„āļ”āđ‰āļˆāļēāļāļāļēāļĢāļ•āļĢāļ§āļˆāļ§āļąāļ”āļ—āļĩāđˆāļŠāļ–āļēāļ™āļĩāđ€āļāđ‰āļēāļĢāļ°āļ§āļąāļ‡āđāļĨāļ°āđ€āļ•āļ·āļ­āļ™āļ āļąāļĒāļĨāđˆāļ§āļ‡āļŦāļ™āđ‰āļēāļ™āđ‰āļģāļŦāļĨāļēāļ-āļ”āļīāļ™āļ–āļĨāđˆāļĄ STN1006 āļ‚āļ­āļ‡āļāļĢāļĄāļ—āļĢāļąāļžāļĒāļēāļāļĢāļ™āđ‰āļģāļāļąāļšāļĢāļ°āļ”āļąāļšāļ™āđ‰āļģāļ—āļĩāđˆāđ„āļ”āđ‰āļˆāļēāļāđāļšāļšāļˆāļģāļĨāļ­āļ‡āđƒāļ™āļŠāđˆāļ§āļ‡āļ•āļąāđ‰āļ‡āđāļ•āđˆāļ§āļąāļ™āļ—āļĩāđˆ 1 āļ˜.āļ„. 2560 āļˆāļ™āļ–āļķāļ‡āļ§āļąāļ™āļ—āļĩāđˆ 1 āļĄāļĩ.āļ„. 2561 āļœāļĨāļ—āļĩāđˆāđ„āļ”āđ‰āļžāļšāļ§āđˆāļē āļ„āđˆāļēāļŠāļąāļĄāļ›āļĢāļ°āļŠāļīāļ—āļ˜āļīāđŒāļ„āļ§āļēāļĄāļ‚āļĢāļļāļ‚āļĢāļ° Manning’n āļ—āļĩāđˆāđ€āļŦāļĄāļēāļ°āļŠāļĄāļĄāļĩāļ„āđˆāļēāđ€āļ—āđˆāļēāļāļąāļš 0.0287 āđ‚āļ”āļĒāļĄāļĩāļ„āđˆāļēāļ”āļąāļŠāļ™āļĩāļ—āļēāļ‡āļŠāļ–āļīāļ•āļīāļ‚āļ­āļ‡ r, NSE āđāļĨāļ° RMSE āđ€āļ—āđˆāļēāļāļąāļš 0.729, 0.324 āđāļĨāļ° 0.184 āļ•āļēāļĄāļĨāļģāļ”āļąāļš āļŦāļĨāļąāļ‡āļˆāļēāļāļ™āļąāđ‰āļ™āđāļšāļšāļˆāļģāļĨāļ­āļ‡āļˆāļ°āļ–āļđāļāđƒāļŠāđ‰āļāļēāļĢāļ—āļģāļ™āļēāļĒāļœāļĨāļāļĢāļ°āļ—āļšāļ”āđ‰āļēāļ™āļŠāļąāļ“āļāļēāļ™āļ§āļīāļ—āļĒāļēāđāļĄāđˆāļ™āđ‰āļģāļ—āļĩāđˆāļ­āļąāļ•āļĢāļēāļāļēāļĢāđ„āļŦāļĨāļ•āļēāļĄāļ˜āļĢāļĢāļĄāļŠāļēāļ•āļīāđāļĨāļ°āļ­āļąāļ•āļĢāļāļēāļĢāđ„āļŦāļĨāļ—āļĩāđˆāļĢāļ­āļšāļ›āļĩāļāļēāļĢāđ€āļāļīāļ”āļ‹āđ‰āļģ 5 āđāļĨāļ° 10 āļ›āļĩ āļœāļĨāļāļēāļĢāļĻāļķāļāļĐāļēāļžāļšāļ§āđˆāļē āļˆāļļāļ”āļ—āļĩāđˆāđ€āļāļīāļ”āļāļēāļĢāļāļąāļ”āđ€āļ‹āļēāļ°āđāļĨāļ°āļžāļąāļ‡āļ—āļĨāļēāļĒāļ‚āļ­āļ‡āļ•āļĨāļīāđˆāļ‡āļŠāđˆāļ§āļ™āđƒāļŦāļāđˆāļ­āļĒāļđāđˆāļ•āļĢāļ‡āļšāļĢāļīāđ€āļ§āļ“āļŠāđˆāļ§āļ™āđ‚āļ„āđ‰āļ‡āļ”āđ‰āļēāļ™āļ™āļ­āļāļ‚āļ­āļ‡āļĨāļģāļ™āđ‰āļģāđāļĨāļ°āļ•āļĨāļīāđˆāļ‡āļāļąāđˆāļ‡āļ•āļĢāļ‡āļ‚āđ‰āļēāļĄāļˆāļ°āđ€āļāļīāļ”āļāļēāļĢāļ—āļąāļšāļ–āļĄāļ‚āļ­āļ‡āļ•āļ°āļāļ­āļ™āļˆāļ™āđ€āļ›āđ‡āļ™āļŠāļąāļ™āļ”āļ­āļ™āļ—āļĢāļēāļĒāļ—āļģāđƒāļŦāđ‰āļĨāļģāļ™āđ‰āļģāđ€āļāļīāļ”āļāļēāļĢāļāļ§āļąāļ”āđāļāļ§āđˆāļ‡āđāļĨāļ°āļĒāļąāļ‡āļ—āļģāđƒāļŦāđ‰āļŠāļ āļēāļžāļ•āļģāđāļŦāļ™āđˆāļ‡āļ‚āļ­āļ‡āļ—āđ‰āļ­āļ‡āļ™āđ‰āļģāđ€āļ›āļĨāļĩāđˆāļĒāļ™āđāļ›āļĨāļ‡āļ”āđ‰āļ§āļĒāđ€āļŠāđˆāļ™āļāļąāļ™ āđ‚āļ”āļĒāļāļĢāļ“āļĩāļŠāļ āļēāļžāļ›āļąāļˆāļˆāļļāļšāļąāļ™āļ—āļĩāđˆāļĄāļĩāļāļēāļĒāļŦāļīāļ™āļ—āļīāđ‰āļ‡āļ‹āļķāđˆāļ‡āđ„āļ”āđ‰āļĢāļąāļšāļœāļĨāļāļĢāļ°āļ—āļšāļˆāļēāļāļāļēāļĢāđ€āļ›āļĨāļĩāđˆāļĒāļ™āđāļ›āļĨāļ‡āļ‚āļ­āļ‡āļĢāļđāļ›āđāļšāļšāļ‚āļ­āļ‡āļāļĢāļēāļŸāļ™āđ‰āļģāļ—āđˆāļēāļ—āļĩāđˆāđ„āļŦāļĨāļœāđˆāļēāļ™āļ”āđ‰āļēāļ™āļ—āđ‰āļēāļĒāļ™āđ‰āļģāļ‚āļ­āļ‡āļāļēāļĒāļŦāļīāļ™āļ—āļīāđ‰āļ‡āļˆāļ™āļ—āļģāđƒāļŦāđ‰āļ­āļąāļ•āļĢāļēāļāļēāļĢāđ„āļŦāļĨāđ€āļžāļīāđˆāļĄāļŠāļđāļ‡āļ‚āļķāđ‰āļ™āđ‚āļ”āļĒāđ€āļ‰āļžāļēāļ°āđƒāļ™āļŠāđˆāļ§āļ‡āļ­āļąāļ•āļĢāļēāļāļēāļĢāđ„āļŦāļĨāļŠāļđāļ‡āđ‚āļ”āļĒāļ­āļąāļ•āļĢāļēāļāļēāļĢāđ„āļŦāļĨāđ€āļžāļīāđˆāļĄāļ‚āļķāđ‰āļ™āļ­āļĒāļđāđˆāđƒāļ™āļŠāđˆāļ§āļ‡āļĢāđ‰āļ­āļĒāļĨāļ° 25 – 65 āļ‚āļ­āļ‡āļ­āļąāļ•āļĢāļēāļāļēāļĢāđ„āļŦāļĨāđ€āļĄāļ·āđˆāļ­āđ€āļ›āļĢāļĩāļĒāļšāđ€āļ—āļĩāļĒāļšāļāļąāļšāļāļĢāļ“āļĩāļ—āļĩāđˆāđ„āļĄāđˆāļĄāļĩāļāļēāļĒ āļ–āļķāļ‡āđāļĄāđ‰āļ§āđˆāļēāļāļēāļĒāļŦāļīāļ™āļ—āļīāđ‰āļ‡āļˆāļ°āļŠāđˆāļ§āļĒāļŠāļ°āļĨāļ­āđāļĨāļ°āđ€āļāđ‡āļšāļāļąāļāļ™āđ‰āļģāđ„āļ”āđ‰āļ”āļĩāđƒāļ™āļŠāđˆāļ§āļ‡āļ›āļĢāļīāļĄāļēāļ“āļ™āđ‰āļģāļ™āđ‰āļ­āļĒāđ† āđāļ•āđˆāđ€āļĄāļ·āđˆāļ­āļĄāļĩāļ­āļąāļ•āļĢāļēāļāļēāļĢāđ„āļŦāļĨāļ—āļĩāđˆāļĄāļēāļāļ‚āļķāđ‰āļ™āđāļĨāļ°āļĨāđ‰āļ™āļ‚āđ‰āļēāļĄāļāļēāļĒāļˆāļ°āļ—āļģāđƒāļŦāđ‰āļ„āļ§āļēāļĄāļŠāļđāļ‡āļ‚āļ­āļ‡āļ™āđ‰āļģāļĒāļāļ•āļąāļ§āļŠāļđāļ‡āļ‚āļķāđ‰āļ™āļāļ§āđˆāļēāđ€āļĄāļ·āđˆāļ­āđ€āļ›āļĢāļĩāļĒāļšāđ€āļ—āļĩāļĒāļšāļāļąāļšāļāļĢāļ“āļĩāļ—āļĩāđˆāđ„āļĄāđˆāļĄāļĩāļāļēāļĒ āļ™āđ‰āļģāļˆāļ°āđ„āļŦāļĨāļ”āđ‰āļ§āļĒāļ„āļ§āļēāļĄāļŠāļđāļ‡āļ™āđ‰āļ­āļĒāļāļ§āđˆāļēāđ€āļžāļĢāļēāļ°āđ„āļĄāđˆāļĄāļĩāļŠāļąāļ™āļāļēāļĒāļĄāļēāļĒāļāļĢāļ°āļ”āļąāļšāļ™āđ‰āļģ āļ„āļ§āļēāļĄāđāļ•āļāļ•āđˆāļēāļ‡āļ‚āļ­āļ‡āļ„āļ§āļēāļĄāļŠāļđāļ‡āļ‚āļ­āļ‡āļ™āđ‰āļģāļ—āļģāđƒāļŦāđ‰āļ•āļĨāļīāđˆāļ‡āļžāļąāļ‡āđ„āļ”āđ‰āđ€āļĢāđ‡āļ§āļ‚āļķāđ‰āļ™ āđ€āļžāļĢāļēāļ°āļāļēāļĒāļ—āļģāđƒāļŦāđ‰āļĄāļĩāļœāļĨāļāļĢāļ°āļ—āļšāļ•āđˆāļ­āļĢāļ°āļ”āļąāļšāļ™āđ‰āļģāļŠāļđāļ‡āļŠāļļāļ”āļāļąāļšāļ•āđˆāļģāļŠāļļāļ”āļ—āļĩāđˆāđāļ•āļāļ•āđˆāļēāļ‡āļāļąāļ™āļĄāļēāļāļ‚āļķāđ‰āļ™āđ€āļĄāļ·āđˆāļ­āđ€āļ—āļĩāļĒāļšāļāļąāļšāļāļĢāļ“āļĩāđ„āļĄāđˆāļĄāļĩāļāļēāļĒ āļ”āļąāļ‡āļ™āļąāđ‰āļ™āļĄāļēāļ•āļĢāļāļēāļĢāļ—āļĩāđˆāđ€āļŦāļĄāļēāļ°āļŠāļĄāļŠāļģāļŦāļĢāļąāļšāļžāļ·āđ‰āļ™āļ—āļĩāđˆāļ™āļĩāđ‰āļ„āļ·āļ­āļāļēāļĢāļ›āļĢāļąāļšāļ›āļĢāļļāļ‡āļŦāļĢāļ·āļ­āļĢāļ·āđ‰āļ­āļĒāđ‰āļēāļĒāļāļēāļĒāļŦāļīāļ™āļ—āļīāđ‰āļ‡āđ€āļ”āļīāļĄāļ­āļ­āļāđ„āļ› āļˆāļ°āļŠāđˆāļ§āļĒāļĨāļ”āļ­āļąāļ•āļĢāļēāļāļēāļĢāļāļąāļ”āđ€āļ‹āļēāļ°āđāļĨāļ°āļžāļąāļ‡āļ—āļĨāļēāļĒāļ‚āļ­āļ‡āļ•āļĨāļīāđˆāļ‡āļĨāļ‡āđ„āļ”āđ‰āļĄāļēāļThis research is an application of iRIC Nays2DH mathematical model for existing river morphology analysis and predicting future impacts together with finding appropriate and sustainable mitigation measures for the Lam Pachi River in Dan Makham Tia district, Kanchanaburi. The river cross section data of the Lam Pachi River were surveyed during December 2018 with 89 cross sections and a river length of 2.145 kilometers, with a distance between every 25 meters. The model calibration and verification were obtained by comparing between hourly water level data obtained from the measurements at the Early Flood and Soil Erosion Warning Station STN1006 of the Department of Water Resources and the water level obtained from the model during the period of December 1, 2018 until March 1, 2019. The results showed that the suitable Manning’n roughness coefficient was 0.0287 with the statistical indexes of r, NSE and RMSE equal to 0.729, 0.324 and 0.184 respectively. After that, the model would be applied to predict river morphology effects at natural flow rates and flow rates at recurrence periods of 5 and 10 years. It found that the erosion and collapse of the banks was mainly in the outer curve of the river and the opposite bank, causing sediment to accumulate into sandbanks, causing the river to become brandished and also changing the condition of the river's position as well. In the case of existing condition with rock fill weir that has been affected by changes in the form of the flow pattern that flows through the downstream of the weir, causing the flow rate to increase, especially during the high flow rate range, flow rate increased in the range of 25–65% of the flow rate when compared with the absence of weir. Although rock fill weir will help slow down and retain water well during a small amount of water. Howerver, when there is a higher flow rate and overflowing weir, the height of the water will rise higher when compared to the absence of weir. Water will flow at a lower height because there is no weir to raise the water level. The difference in the height of the water causes the banks to collapse faster. Because weir makes more impact on the highest and lowest water level when compared to the case without weir. Therefore, the appropriate measures for this area are to improve or remove the existing weir. It will greatly reduce the rate of erosion and collapse of the bank
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