Flood Management in Kan River Basin Using a Simulation- Optimization Approach

Abstract:
Weaknesses of the conventional flood management approach, lack of integrated view to the basin, no attention to the social impact, and low level of non-structural measure considerations, have the reason for a new approach to integrated flood management. Applying the new approach, this paper proposes an effective plan for flood management in the Kan River basin, north of Tehran. The main challenges in the study are quantification of social vulnerability and selection of optimal combination of feasible measures such a way that maximum potential of damage reduction be achieved while the least funding be spent. Therefore, flood flow with 100 yr and 200 yr return periods was simulated applying MIKE11 coupling with NSGA-II to minimize the implementation cost. Based on the prepared model, various combinations of applicable methods were proposed considering different level of fund allocations. Results showed that out of structural measures flood wall and retention dam and out of non-structural measures watershed management, reinforcement, and flood warning have been the most effective measures. The optimal combination of these measures can reduce 2 to 50 percent of flood peak discharge at downstream. Moreover, the obtained results showed that about 100 billion Rials investment in the basin would reduce up to 30% flood damage.
Language:
Persian
Published:
Experimental Research in Civil Engineering, Volume:3 Issue: 1, 2016
Pages:
73 to 89
magiran.com/p1658178  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 1,390,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!