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Building distortions due to some environmental factors refer to problems and diseases that lead to distortions and defects in buildings, which are caused by climatic causes and natural environmental factors. Understanding its causes and the imbalance resulting from it, and trying to measure it, enables preventive measures to be taken to avoid their occurrence, and enables to treatment. Through the field visits that took place in Babil Governorate, it was observed that a large number of buildings were distorted due to various environmental factors such as rain, humidity and heat, which led to distortion in the buildings from an aesthetic and the structural behavior. Sixty two buildings of different uses were monitored and were under the influence of a number of environmental factors. The monitoring method, follow up and some non-destructive tests were used to collect data, and then the data were analyzed using comparison tables. In this paper, it was concluded that the most important environmental factor affecting buildings is humidity, which is determined by more than 68% and is considered one of the most important problems that lead to building deformations and cracks, followed by the effect of soil. It was also found that the influence of other factors such as light, temperature and wind is very small compared to other factors. Also, some sources of moisture that affect building deformations in the city of Babylon have been identified, the most important of which are ground water and wastewater. Then, a number of proposals and recommendations that contribute to reducing these distortions were identified. [ABSTRACT FROM AUTHOR]

Weather data is very important for many fields, like agriculture, transportation, fishing, etc. By knowing the weather data, the people or organizations/companies can determine the right step. The forecast and analysis of weather changes would be more accurate with the support of the fast and sufficient weather data. This paper will discuss the design of Internet of Things (IoT) for weather data (rainfall intensity, humidity, and temperature) monitoring using Raspberry. Anyone can monitor weather data by smartphone, so make it flexible and easy to get the weather data. The components of this system are rain gauge with tipping-bucket, The DHT11 as humidity and temperature sensor, and Raspberry as controller, database and server. Based on result of testing, it can be concluded that the system was able to work properly. The accuracy of rainfall intensity and temperature measurement are 99.34% and 98.53% respectively, while the accuracy of humidity measurement is 97.77%. Based on evaluation of website, PageSpeed Score B is 86% and Yslow Score A is 96%. Therefore, it is concluded that the IoT system of weather monitoring was run well. [ABSTRACT FROM AUTHOR]

Estimating aerosol optical thickness (AOT) over regions can be tasking if satellite data set over such region is very scanty. Therefore a technique whose application captures real-time events is most appropriate for adequate monitoring of risk indicators. A new technique i.e. arithmetic translation of pictorial model (ATOPM) was developed. The ATOPM deals with the use mathematical expression to compute other meteorological parameters obtained from satellite or ground data set. Six locations within 335 x 230 Km2 area of a selected portion of Nigeria were chosen and analyzed -using the meteorological data set (1999-2012) and MATLAB. The research affirms the use of some parameters (e.g. minimum temperature, cloud cover, relative humidity and rainfall) to estimate the aerosol optical thickness. The objective of the paper was satisfied via the use of other meteorological parameters to estimate AOT when the satellite data set over an area is scanty. [ABSTRACT FROM AUTHOR]

This paper aimed to establish a relationship between the selective meteorological variables such as temperature, humidity, wind speed, and rainfall in which contribute to the climate change in Peninsular Malaysia. Regression analysis, instantaneous causality, and impulse response function analysis were applied to the variables. The results revealed that humidity is positively related to rainfall and there is a strong relation between them. The instantaneous causality between wind speed and other variables concluded that the capability to predict the series of temperature, humidity, and rainfall based on the histories of all observable variables is unaffected by the omission of wind speed's history. [ABSTRACT FROM AUTHOR]

This paper presents the application of regression analysis in measuring the relationship between rainfall area and Timah Tasoh reservoir level. The trend lines of the rainfall data on a monthly basis were checked. The data collected from the year 2007 until 2012 were run using JMP software to obtain the regression model. Result showed that Wang Kelian has high humidity in Perlis and significantly has contributed to high level of Timah Tasoh reservoir. [ABSTRACT FROM AUTHOR]