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Rainfall data validation using remote sensing and in-situ weather station data

Rainfall data validation using remote sensing and in-situ weather station data 

A.A. Ibrahim*

HIGHLIGHTS

  • Data validation is an essential tool of representing accuracy of data in a given interval of time.
  • Rainfall data vary periodically and also from place to place.
  • Rainfall data were collected from various weather stations and space (satellite).
  • Potiskum received the highest rainfall over the years.
  • In-situ weather station’s rainfall data is more reliable than remotely sensed data.

ABSTRACT

Data validation is a technique that helps to ensure the value stored is reliable and the best possible representation of the accurate value of variable at the measurement site at a given period or in a given interval of time. This study was carried out to compare and validate remotely sensed data and in-situ weather station’s data. Rainfall data were collected from various weather stations from the Nigerian Meteorological Agency (NIMET) of three local government areas which are Maiduguri, Potiskum and Nguru. It also extracts rainfall data on remotely sensed data collected from GEONET Cast Unit, Department of Geography, University of Maiduguri, Nigeria. The study was on environmental data validation which focused on rainfall data from in-situ weather station and remotely sensed data for the duration of four (4) years (2011-2014). The study compared the data collected from three locations; Maiduguri local government area (LGA), Potiskum LGA, and Nguru LGA. It revealed that Potiskum received the highest rainfall over the years. It was also observed that the month received the highest rainfall was August. Hence, each season has its own light, temperature, and weather patterns that repeat yearly. Graphs shown that they all fitted with some discrepancies. The highest rainfall intensity was found in Potiskum and then in Nguru and Maiduguri respectively. In conclusion, space (satellite) data are not reliable compared to the ground weather station data.

© 2019 Ababil Publishers. All rights reserved.

To cite this article: Ibrahim AA. Rainfall data validation using remote sensing and in-situ weather station data. Journal of Advanced Civil Engineering Practice and Research 2019;9:25-32.

To link this article: http://ababilpub.com/download/jacepr9-4/

Analysis of site amplification of earthquake ground motion at Mongla port, Bangladesh 

Analysis of site amplification of earthquake ground motion at Mongla port, Bangladesh 

Md. Asiful Islam*, Md. Rokonuzzman

HIGHLIGHTS

  • The site amplification of Mongla port based on shear wave velocity is estimated.
  • DEEPSOIL program is used for estimating peak ground acceleration.
  • The characteristics of seismic ground response and normalized response spectra are studied.
  • The average value of shear wave velocity is 194 m/s.
  • The Mongla port is classified as Site-D according to IBC.

ABSTRACT

Seismologists usually define strong ground motion as the strong earthquake shaking that occurs close to a causative fault. Ground motion is produced by waves that are generated by a sudden slip on a fault or sudden pressure at the explosive source and travel through the earth and along its surface. The aim of this research is to estimate the site amplification of Mongla port based on shear wave velocity. For estimating peak ground acceleration, DEEPSOIL program was used. With soil layer depth, bulk density and damping as inputs, peak ground acceleration by linear analysis was conducted. Four input motions such as Chi Chi earthquake, Kobe earthquake, Northridge earthquake and Loma Gilroy earthquake are recorded in rock in this analysis, which are scaled to 0.12g value. Improved spectral amplification factors for different site conditions based on an extensive theoretical and experimental study were used. The characteristics of seismic ground response and comparison of normalized response spectra with the BNBC seismic code are also studied. The average value of shear wave velocity is 194 m/s and Mongla port is classified as Site-D according to IBC. The study will help to provide a guideline for reclamation procedure to minimize seismic hazards of reclaimed areas and to suggest the suitable ground improvement techniques for such areas.

© 2019 Ababil Publishers. All rights reserved.

To cite this article: Islam MA, Rokonuzzman M. Analysis of site amplification of earthquake ground motion at Mongla port, Bangladesh. Journal of Advanced Civil Engineering Practice and Research 2019;9:13-24.

To link this article: http://ababilpub.com/download/jacepr9-3/

Vulnerability and risk assessment of noise pollution on worker’s health in different industries of Khulna city, Bangladesh

Vulnerability and risk assessment of noise pollution on worker’s health in different industries of Khulna city, Bangladesh 

Debatosh Banik Partha*, Md. Saiful Islam

HIGHLIGHTS

  • Measurement of noise levels in five industries of Khulna city was done.
  • A comprehensive questionnaire survey was done among the workers of the industries.
  • Vulnerability analysis of the industries in tackling noise hazard was done based on questionnaire.
  • Various noise impacts and risks on worker’s health and their causes with effects were investigated subtly.
  • Control measures of industrial noise were prescribed.

ABSTRACT

Industries in Bangladesh produce a huge amount of noise that affects the quality of the industrial environment as well as the worker’s health. Previous studies show that, in USA, 11 million workers are exposed to occupational noise. In Sweden, 9% of total workers experience long term foul noise environment as well. Main objectives of this study are to analyze the vulnerability of industrial systems in tackling noise hazard and to establish a comprehensive scenario of health risk based on the jeopardy and weakness of worker’s health prone to this overt and uncontrolled industrial hazard. Different industries of Khulna city, Bangladesh under five categories e.g. electrical equipment industry, cement factory, metal & steel industry, jute mill and electricity production industry were chosen based on their location and industrial scale. Vulnerability and health risk were assessed using PRA tool and questionnaire survey approach. Occupational safety of workers was checked and the causes of high noise production were justified. The maximum vulnerability of noise hazard was 17.42 for power generation industry followed by 15.82, 15, 14.41, 12.24 of heavy metal, jute, cement, and electrical equipment industry, respectively. The most vulnerable industry thus found in this study was the power generation industry. The questionnaire survey for determining vulnerability also unlocked the health issues of workers. It shows that among 75 workers in total, 68% of them had a serious headache, 50.67% were annoyed, 33.33% workers feel dizziness and 29.33% were insomniacs being a victim of this direct industrial noise exposure. Based on vulnerability analysis and health risk assessment, this study demonstrates the cause and detrimental effects of noise pollution to alert the exposed community and to ensure safety of workers in a noise-free environment of the workplace.

© 2019 Ababil Publishers. All rights reserved.

To cite this article: Partha DB, Islam MS. Vulnerability and risk assessment of noise pollution on worker’s health in different industries of Khulna city, Bangladesh. Journal of Advanced Civil Engineering Practice and Research 2019;9:3-12.

To link this article: http://ababilpub.com/download/jacepr9-2/

Application of traffic conflict technique (TCT) for safety evaluation is a better alternative for developing countries

Application of traffic conflict technique (TCT) for safety evaluation is a better alternative for developing countries

S.M. Sohel Mahmud

Safety assessment, including the selection of intervention treatments, is mainly based on the application of traditional approaches. Such approaches have a long history, in terms of their robustness, methodological development, research and application. However, these approaches are relying primarily on the use of historical data and/or field observation which are often questioned due to some major limitations, especially in developing countries. Firstly, traditional approaches have very often been of a “wait and see”, nature, i.e. safety countermeasures are not considered until the crash occurrences become unacceptable. Most of the traditional approaches are heavily reliant on historical crash data, whereas many of the crashes are not reported consistently in crash databases. In addition to the problems related to the underreporting and inconsistent recording, there are some other issues of crash data which present significant challenges. The accumulation of sufficiently large number of sample data is necessary to obtain a statistically reliable result. As a crash is a random event, a long period (around 3 to 5 years) is needed to gather a statistically significant sample. This problem becomes worse when the sample is segregated by different features, such as by location, vehicle types, time of occurrence, etc…

© 2019 Ababil Publishers. All rights reserved.

To cite this article: Mahmud SMS. Application of traffic conflict technique (TCT) for safety evaluation is a better alternative for developing countries. Journal of Advanced Civil Engineering Practice and Research 2019;9:1-2.

To link this article: http://ababilpub.com/download/jacepr9-1/