Factors that condition physical vulnerability to ground fracturing in Mexico City

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Affecting Factors Prioritization on Vulnerability Areas of physical Texture of Gorgan City

Aims & Backgrounds: Physical indicators of urban texture such as the age of buildings, microstructure, number of floors and type of building materials have a determinant role in the intensity and extent of the cities vulnerability in the face of earthquakes. Many Iranian cities are located on areas with moderate and high risk of earthquakes. Hence, Special attention to the elements qualities an...

متن کامل

Radical sources in Mexico City

Introduction Conclusions References Tables Figures

متن کامل

Factors Contributing to the Catastrophe in Mexico City during the Earthquake of September 19 , 1985

The extensive damage to high-rise buildings in Mexico City during the September 19, 1985 earthquake is primarily due to the intensity of the ground shaking exceeding what was previously considered credible for the city by Mexican engineers. There were two major factors contributing to the catastrophe, resonance in the sediments of an ancient lake that once existed in the Valley of Mexico, and t...

متن کامل

Vulnerability to heat-related mortality in Latin America: a case-crossover study in Sao Paulo, Brazil, Santiago, Chile and Mexico City, Mexico.

BACKGROUND Factors affecting vulnerability to heat-related mortality are not well understood. Identifying susceptible populations is of particular importance given anticipated rising temperatures from climatic change. METHODS We investigated heat-related mortality for three Latin American cities (Mexico City, Mexico; São Paulo, Brazil; Santiago, Chile) using a case-crossover approach for 754 ...

متن کامل

Latin hypercube approach to estimate uncertainty in ground water vulnerability.

A methodology is proposed to quantify prediction uncertainty associated with ground water vulnerability models that were developed through an approach that coupled multivariate logistic regression with a geographic information system (GIS). This method uses Latin hypercube sampling (LHS) to illustrate the propagation of input error and estimate uncertainty associated with the logistic regressio...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Proceedings of the International Association of Hydrological Sciences

سال: 2020

ISSN: 2199-899X

DOI: 10.5194/piahs-382-571-2020