دانلود رایگان مقاله انگلیسی یک مدل کمی برای ارزیابی درجه خطر عمل مرحله ای مخزن سد خاکی در فصل سیل و کاربرد آن - الزویر 2018

عنوان فارسی
یک مدل کمی برای ارزیابی درجه خطر عمل مرحله ای مخزن سد خاکی در فصل سیل و کاربرد آن
عنوان انگلیسی
A quantitative model for danger degree evaluation of staged operation of earth dam reservoir in flood season and its application
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
7
سال انتشار
2018
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
کد محصول
E7898
رشته های مرتبط با این مقاله
مهندسی عمران
گرایش های مرتبط با این مقاله
سازه
مجله
علوم و مهندسی آب - Water Science and Engineering
دانشگاه
College of Civil and Architectural Engineering - Guangxi University - Nanning - China
کلمات کلیدی
ساخت مرحله ای مخزن در فصل سیل؛ سد زمینی؛ درجه تهدید؛ ارزیابی کمی؛ نرخ ریسک بالا آمدگی
۰.۰ (بدون امتیاز)
امتیاز دهید
چکیده

Abstract


Based on the natural disaster risk evaluation mode, a quantitative danger degree evaluation model was developed to evaluate the danger degree of earth dam reservoir staged operation in the flood season. A formula for the overtopping risk rate of the earth dam reservoir staged operation was established, with consideration of the joint effect of flood and wind waves in the flood sub-seasons with the Monte Carlo method, and the integrated overtopping risk rate for the whole flood season was obtained via the total probability approach. A composite normalized function was used to transform the dam overtopping risk rate into the danger degree, on a scale of 0e1. Danger degree gradating criteria were divided by four significant characteristic values of the dam overtopping rate, and corresponding guidelines for danger evaluation are explained in detail in this paper. Examples indicated that the dam overtopping danger degree of the Chengbihe Reservoir in China was 0.33e0.57, within the range of moderate danger level, and the flood-limiting water level (FLWL) can be adjusted to 185.00 m for the early and main flood seasons, and 185.00 me187.50 m for the late flood season. The proposed quantitative model offers a theoretical basis for determination of the value of the danger degree of an earth dam reservoir under normal operation as well as the optimal scheduling scheme for the reservoir in each stage of the flood season.

نتیجه گیری

6. Conclusions


This study demonstrated the procedure of a quantitative danger degree evaluation model and the judgment of FLWLs for each flood season. An earth dam overtopping risk rate model for the calculation of dam overtopping probability in each stage of the flood season and in the whole flood season was established. Then, grade division and evaluation of the dam overtopping danger degree were conducted quantitatively, according to the four important characteristic values of the dam overtopping risk rate. The proposed model was applied to the Chengbihe Reservoir in China. The following conclusions are drawn: (1) The danger degree of the Chengbihe Reservoir under the design standard was 0.57, corresponding to a moderate danger level. (2) FLWL for the Chengbihe Reservoir staged operation can be recommended as follows: 185.00 m for the early and main flood seasons, and 185.00 me187.50 m for the later flood season. The quantitative model for danger degree evaluation of earth dam reservoir staged operation in the flood season can provide a theoretical basis for danger degree assessment of earth dam reservoirs under normal operating conditions as well as optimal FLWLs for reservoir staged operation during the flood season.


However, there were some limitations in this study: (1) The dam overtopping risk rate for each stage of the flood season was based on the conditional probability, regarding dam overtopping events as independent of one another in each stage of the flood season. In fact, inter-temporal floods were indeed correlated to each sub-season flood (Xiao, 2004), and appropriate ways to consider this correlation is still an issue that is worth studying. (2) In the Monte Carlo simulation method, it is important to generate random number flow for the given probability distribution. Generally, the efficiency of simple random sampling is low, and an efficient random number generator, which is both fast and highly accurate, should be used.


بدون دیدگاه