کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6922249 1448273 2018 43 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Determining on-fault earthquake magnitude distributions from integer programming
ترجمه فارسی عنوان
تعیین توزیعهای بزرگ زلزله براساس برنامه ریزی عدد صحیح
کلمات کلیدی
توزیع بزرگی زمین لرزه، برنامه ریزی عدد صحیح پیش بینی زلزله، بهینه سازی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی
Earthquake magnitude distributions among faults within a fault system are determined from regional seismicity and fault slip rates using binary integer programming. A synthetic earthquake catalog (i.e., list of randomly sampled magnitudes) that spans millennia is first formed, assuming that regional seismicity follows a Gutenberg-Richter relation. Each earthquake in the synthetic catalog can occur on any fault and at any location. The objective is to minimize misfits in the target slip rate for each fault, where slip for each earthquake is scaled from its magnitude. The decision vector consists of binary variables indicating which locations are optimal among all possibilities. Uncertainty estimates in fault slip rates provide explicit upper and lower bounding constraints to the problem. An implicit constraint is that an earthquake can only be located on a fault if it is long enough to contain that earthquake. A general mixed-integer programming solver, consisting of a number of different algorithms, is used to determine the optimal decision vector. A case study is presented for the State of California, where a 4 kyr synthetic earthquake catalog is created and faults with slip ≥3 mm/yr are considered, resulting in >106 variables. The optimal magnitude distributions for each of the faults in the system span a rich diversity of shapes, ranging from characteristic to power-law distributions.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Geosciences - Volume 111, February 2018, Pages 244-259
نویسندگان
, ,