پديد آورندگان :
عباسي زاده، حسين دانشگاه آزاد اسلامي واحد علوم و تحقيقات تهران - گروه عمران آب , نظيف، سارا دانشگاه تهران - پرديس دانشكده هاي فني - دانشكده مهندسي عمران , حسيني، عباس دانشگاه آزاد اسلامي واحد علوم و تحقيقات تهران - گروه مهندسي عمران آب
كليدواژه :
سيلاب شهري , اتوماتاي سلولي , مدل سازي هيدروليكي , رواناب سطحي , شبيه سازي دو بعدي
چكيده فارسي :
افزايش فراواني و شدت سيلاب ها در حوضه هاي شهري باعث ايجاد خسارات جدي به شهرها مي شود. يكي از چالش هاي مهم در تحليل سيلاب هاي شهري، شبيه سازي دو بعدي جريان هاي سطحي ناشي از پس زدگي رواناب از سيستم زهكشي است. بنابراين توسعه يك مدل شبيه سازي سيلاب كه بتواند سيلاب را با دقت و سرعت قابل قبول در حوضه هاي شهري با توپوگرافي پيچيده شبيه سازي و بخش هاي متاثر از سيلاب را در اين حوضه ها مشخص كند از اهميت بالايي برخوردار است. در اين تحقيق يك مدل عددي شبيه سازي سيلاب بر پايه روش اتوماتاي سلولي با هدف كاهش زمان و حجم محاسبات نسبت به روش هاي معمول تحليل دو بعدي سيلاب، توسعه داده شدهاست. عملكرد مدل اتوماتاي سلولي توسعه داده شده در مطالعه حاضر با مدل هاي هك راس ، مدلي بر پايه معادلات آب كم عمق و مدل تيوفلو كه با روش هاي معمول شبيه سازي هيدروليكي جريان آب را رونديابي مي كنند، در حالات شبيه سازي يك و دو بعدي مورد آزمون قرار گرفته است. همچنين شرايط پايداري با توجه به ابعاد شبكه و اندازه گام زماني مورد بررسي قرار گرفته است. نتايج اين مدل نشان مي دهد كه روش پيشنهادي با استفاده از داده هاي توپوگرافي و زبري سطح به عنوان ورودي، با دقت قابل قبول جريان روان آب هاي سطحي را در حالات يك بعدي و دو بعدي رونديابي مي كند. همچنين زمان شبيه سازي جريان در اين مدل حدود 60 برابر كمتر از روش معادلات آب كم عمق است.
چكيده لاتين :
Increasing frequency and intensity of flooding in urban areas have led to serious damage in urban areas. One of the major challenges in urban flood analysis is the two dimensional simulation of surface runoff caused by surcharged flows from urban drainage systems. Thus, development of an urban flood simulation model, which can rout the water flow on complex topography of urban catchments and determine flooded areas with acceptable computational time and accuracy is very important. In this study, a flood simulation model based on cellular automata approach is developed to reduce time and computational effort in compare with other 2D conventional hydraulic models. The developed model performance is compared with HEC-RAS, shallow water equation and TUFLOW models which simulate the water movement using conventional numerical schemes. Also the model’s stability is assessed by considering different time step and mesh size. The obtained results show that the proposed model, using topographic and surface roughness data as inputs, can simulate water movement with acceptable accuracy one- and two-dimensionally. In addition, the computational time is reduced up to roughly 60 times compared to the model which is based on shallow water equations. Increasing frequency and intensity of flooding in urban areas have led to serious damage in urban areas. One of the major challenges in urban flood analysis is the two dimensional simulation of surface runoff caused by surcharged flows from urban drainage systems. Thus, development of an urban flood simulation model, which can rout the water flow on complex topography of urban catchments and determine flooded areas with acceptable computational time and accuracy is very important. In this study, a flood simulation model based on cellular automata approach is developed to reduce time and computational effort in compare with other 2D conventional hydraulic models. The developed model performance is compared with HEC-RAS, shallow water equation and TUFLOW models which simulate the water movement using conventional numerical schemes. Also the model’s stability is assessed by considering different time step and mesh size. The obtained results show that the proposed model, using topographic and surface roughness data as inputs, can simulate water movement with acceptable accuracy one- and two-dimensionally. In addition, the computational time is reduced up to roughly 60 times compared to the model which is based on shallow water equations. Increasing frequency and intensity of flooding in urban areas have led to serious damage in urban areas. One of the major challenges in urban flood analysis is the two dimensional simulation of surface runoff caused by surcharged flows from urban drainage systems. Thus, development of an urban flood simulation model, which can rout the water flow on complex topography of urban catchments and determine flooded areas with acceptable computational time and accuracy is very important. In this study, a flood simulation model based on cellular automata approach is developed to reduce time and computational effort in compare with other 2D conventional hydraulic models. The developed model performance is compared with HEC-RAS, shallow water equation and TUFLOW models which simulate the water movement using conventional numerical schemes. Also the model’s stability is assessed by considering different time step and mesh size. The obtained results show that the proposed model, using topographic and surface roughness data as inputs, can simulate water movement with acceptable accuracy one- and two-dimensionally. In addition, the computational time is reduced up to roughly 60 times compared to the model which is based on shallow water equations. Increasing frequency and intensity of flooding in urban areas have led to serious damage in urban areas. One of the major challenges in urban flood analysis is the two dimensional simulation of surface runoff caused by surcharged flows from urban drainage systems. Thus, development of an urban flood simulation model, which can rout the water flow on complex topography of urban catchments and determine flooded areas with acceptable computational time and accuracy is very important. In this study, a flood simulation model based on cellular automata approach is developed to reduce time and computational effort in compare with other 2D conventional hydraulic models. The developed model performance is compared with HEC-RAS, shallow water equation and TUFLOW models which simulate the water movement using conventional numerical schemes. Also the model’s stability is assessed by considering different time step and mesh size. The obtained results show that the proposed model, using topographic and surface roughness data as inputs, can simulate water movement with acceptable accuracy one- and two-dimensionally. In addition, the computational time is reduced up to roughly 60 times compared to the model which is based on shallow water equations.
