Assessment and Prediction of Canal Erosion on Tidal Swamp Delta Telang I, Banyuasin Regency, South Sumatra

Syarifudin, Achmad and Destania, Henggar Risa and Hamdani, Yunan (2021) Assessment and Prediction of Canal Erosion on Tidal Swamp Delta Telang I, Banyuasin Regency, South Sumatra. In: Advanced Aspects of Engineering Research Vol. 3. B P International, pp. 41-49. ISBN 978-93-90768-21-9

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Abstract

Surface water dynamics at swamp region either in tertiary compartment also at canals very influenced by several conditions, among others: total rainfall, hydro-topography, potential high water overflow, potential drainage, water order network condition, and water order building operation. Tidal swamp region characteristics very unique in comparison with technical irrigation region because the water availability ebb swamp region always supply from high water and lessened sea water has special character that is has acidity, contain pyrites, peat and met existence intrusion brine at the (time) of dry season. For that entire components must be evaluated and at analysis to support plants amount of water required fulfillment efforts. The canals need observation data directly at field so that can accurate observation data. In the manner likes this need time, energy and cost big enough. Therefore, computer model use to guess and evaluate network performance is a correct solution. Related to troubleshoot above, so necessary existence to watchfulness besides to evaluate existing drainage system performance in water face control at also necessary channel stability analysis in the effort support operation and channel maintenance. Supposed to this watchfulness can describe according to intact process the happening of erosion and sedimentation at channel, environment service aspect and qualitatively model constructively SOBEK software can explain sedimentation dynamics in canals at tidal swamp region. This System monitoring also recommend where and what is total minimal water face observation at canals and farming tune with climate data observation.

Item Type: Book Section
Subjects: Universal Eprints > Engineering
Depositing User: Managing Editor
Date Deposited: 06 Nov 2023 03:53
Last Modified: 06 Nov 2023 03:53
URI: http://journal.article2publish.com/id/eprint/2979

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