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Monzur Imteaz   Dr.  University Lecturer 
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Monzur Imteaz published an article in August 2018.
Top co-authors See all
Arul Arulrajah

186 shared publications

Department of Civil and Construction Engineering, Swinburne University of Technology, Hawthorn, Australia

Amimul Ahsan

83 shared publications

Department of Civil Engineering, Uttara University, Dhaka, Bangladesh

Abdullah Gokhan Yilmaz

22 shared publications

University of Sharjah

Md. Rezaul Karim

15 shared publications

Department of Civil and Environmental Engineering, Islamic University of Technology (IUT), Board Bazar, Gazipur 1704, Bangladesh, Tel. +8802 9291254; Fax: +8802 9291260

M. A. Rahman

6 shared publications

40
Publications
15
Reads
0
Downloads
125
Citations
Publication Record
Distribution of Articles published per year 
(1996 - 2018)
Total number of journals
published in
 
25
 
Publications See all
Article 0 Reads 0 Citations Environmental Suitability and Carbon Footprint Savings of Recycled Tyre Crumbs for Road Applications Monzur Alam Imteaz, Arul Arulrajah, Suksun Horpibulsuk, Amim... Published: 02 August 2018
International Journal of Environmental Research, doi: 10.1007/s41742-018-0126-7
DOI See at publisher website
Article 0 Reads 1 Citation An Attempt to Use Non-Linear Regression Modelling Technique in Long-Term Seasonal Rainfall Forecasting for Australian Ca... Iqbal Hossain, Rijwana Esha, Monzur Alam Imteaz Published: 28 July 2018
Geosciences, doi: 10.3390/geosciences8080282
DOI See at publisher website ABS Show/hide abstract
The objective of this research is the assessment of the efficiency of a non-linear regression technique in predicting long-term seasonal rainfall. The non-linear models were developed using the lagged (past) values of the climate drivers, which have a significant correlation with rainfall. More specifically, the capabilities of SEIO (South-eastern Indian Ocean) and ENSO (El Nino Southern Oscillation) were assessed in reproducing the rainfall characteristics using the non-linear regression approach. The non-linear models developed were tested using the individual data sets, which were not used during the calibration of the models. The models were assessed using the commonly used statistical parameters, such as Pearson correlations (R), root mean square error (RMSE), mean absolute error (MAE) and index of agreement (d). Three rainfall stations located in the Australian Capital Territory (ACT) were selected as a case study. The analysis suggests that the predictors which has the highest correlation with the predictands do not necessarily produce the least errors in rainfall forecasting. The non-linear regression was able to predict seasonal rainfall with correlation coefficients varying from 0.71 to 0.91. The outcomes of the analysis will help the watershed management authorities to adopt efficient modelling technique by predicting long-term seasonal rainfall.
Article 2 Reads 0 Citations Environmental and economic viability of Alkali Activated Material (AAM) comprising slag, fly ash and spent coffee ground Teck-Ang Kua, Monzur Alam Imteaz, Arul Arulrajah, Suksun Hor... Published: 03 July 2018
International Journal of Sustainable Engineering, doi: 10.1080/19397038.2018.1492043
DOI See at publisher website
Article 1 Read 0 Citations Assessing the predictability of MLR models for long-term streamflow using lagged climate indices as predictors: a case s... Rijwana I. Esha, Monzur A. Imteaz Published: 22 June 2018
Hydrology Research, doi: 10.2166/nh.2018.171
DOI See at publisher website
Article 0 Reads 1 Citation Spatial variability of reasonable government rebates for rainwater tank installations: A case study for Sydney Monzur A. Imteaz, Muhammad Moniruzzaman Published: 01 June 2018
Resources, Conservation and Recycling, doi: 10.1016/j.resconrec.2018.02.010
DOI See at publisher website
BOOK-CHAPTER 0 Reads 0 Citations Damaging Effect of Tree Types on Roughness Progression Rates in Pavements Characterised with Alluvial Expansive Subgrade... Md Yeasin Ahmed, Robert Evans, Monzur Alam Imteaz Published: 13 May 2018
Putting Tradition into Practice: Heritage, Place and Design, doi: 10.1007/978-981-10-8016-6_96
DOI See at publisher website
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