通过基于gis的水文模型加强可持续道路基础设施:Sakpeigu-Chereponi公路(7+100 - 7+750)(N14)交叉涵洞公平发展和气候适应能力的解决方案

Abdul Basir Issah, Edward Matthew Osei Jnr, Jeff Dacosta Osei
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引用次数: 0

摘要

道路排水对交通基础设施的安全和使用寿命至关重要。设计有效的排水设施,包括涵洞,需要对流量-频率关系有精确的理解。让水在道路下流动的涵洞必须考虑各种工程和环境因素。在加纳,加纳公路管理局希望涵洞设计能够满足峰值流量规范,但评估每个涵洞的设计洪水是非常耗时的。通常,排水涵洞设计依赖于估算,这可能导致尺寸不合适。本研究旨在评估现有交叉涵洞的充分性,并为延迪市Sakpeigu-Chereponi公路(7+700-7+750)上低效的交叉涵洞提出合适的尺寸。采用改进的理性方法,将GIS与水文模型相结合,对峰值流量进行圈定和估算。划定了预定涵洞的集水区,设计周期为25年,峰值流量为44.552 m3/s。然而,计划涵洞尺寸的总容量(32.066 m3/s)不足,导致超额排放12.486 m3/s。提出了新的涵洞时间表,采用3m X 3m箱形涵洞,整个断面(7+100 - 7+750)的容量为70.148 m3/s,以解决不足之处。
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Enhancing Sustainable Road Infrastructure through GIS-Based Hydrological Modelling: A Solution for Equitable Development and Climate Resilience of Cross Culverts on The Sakpeigu-Chereponi Road (7+100 - 7+750) (N14) At the Yendi Municipality in Ghana
Road drainage is vital for the safety and longevity of transportation infrastructure. Designing effective drainage facilities, including culverts, requires a precise understanding of discharge-frequency relationships. Culverts, which allow water to flow beneath roads, must consider various engineering and environmental factors. In Ghana, the Ghana Highway Authority expects culvert designs to meet peak flow specifications, but evaluating the design flood of each culvert is time-consuming. Typically, drainage culvert designs rely on estimations, which can lead to inappropriate sizes. This study aimed to assess the adequacy of existing cross culverts and propose suitable sizes for inefficient ones on the Sakpeigu-Chereponi road (7+700-7+750) in the Yendi municipality. The study employed integrated GIS and hydrological models to delineate and estimate peak flow using the modified rational method. The catchment for the scheduled culverts was delineated, with a peak flow of 44.552 m3/s for a 25-year design period. However, the combined capacity (32.066 m3/s) of the scheduled culvert sizes was insufficient, resulting in an excess discharge of 12.486 m3/s. A new culvert schedule was proposed, featuring a 3m X 3m box culvert with a capacity of 70.148 m3/s for the entire section (7+100 - 7+750) to address the inadequacy.
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来源期刊
CiteScore
1.60
自引率
14.30%
发文量
32
审稿时长
12 weeks
期刊介绍: International Journal of Cognitive Research in Science, Engineering and Education (IJCRSEE) is an international, high quality, peer reviewed open access journal which publishes articles in all areas of cognitive science, perception, natural language understanding, inference, memory processes, learning, problem solving, planning, connectionism, and other areas of interdisciplinary concern related in education, pedagogy and psychology. All articles are published in English and undergo a peer-review process. The scope of IJCRSEE is focused on cognitive research both in topics covered as well as disciplinary perspective: -Cognitive Research in Education -Cognitive Pedagogics -Cognitive Psychology -Psycholinguistics -Cognitive Linguistics -Cognitive Culture Studies -Cognitive Neurophysiology -Cognitive Aspects: Sport Culture -Cognitive Aspects: Methodology of Knowledge -Text Processing and Cognitive Technologies -Curriculum Development -Development of Learning Environment -Education Administration -Educational Psychology -Educational Technology -Elementary Education -Innovative Pedagogical Models -Learning Systems Platforms -Media Education -Science Education -Teaching and Learning Technologies The main objective of the Journal is to discuss global prospects and innovations concerning major issues of cognitive science, to publish new scientific results of cognitive science research, including the studies of cognitive processes, emotions, perception, memory, thinking, problem solving, planning, education and teaching, language and consciousness study, the results of studying man’s cognitive development and the formation of basic cognitive skills in everyday life. The Journal seeks to stimulate the initiation of new research and ideas in cognitive science for the purpose of integration and interaction of international specialists in the development of cognitive science as interdisciplinary knowledge.
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