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Monzur Imteaz published an article in May 2017.
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(1996 - 2017)
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Article 0 Reads 0 Citations Environmental benefits and recycling options for wood chips from furniture industries Published: 01 May 2017
Proceedings of the Institution of Civil Engineers - Waste and Resource Management, doi: 10.1680/jwarm.17.00011
Article 0 Reads 0 Citations Fractured rock aquifer delineation and assessment using spatial analysis in Kano, Nigeria Published: 26 April 2016
Arabian Journal of Geosciences, doi: 10.1007/s12517-016-2355-4
Knowledge of fractures and their connectivity in geologic media is paramount to groundwater resource management. However, the theory of connectivity between the fractures and their measurement techniques, and its application in modelling are still under great debate. Various studies indicated that the aquifers of the basement complex rocks in Kano are regolith and the fractures are connected at various depths. However, no study has stated the extent (spread) of the underlain fractures, their position, the connectivity between the fractured zones and whether or not all the fractured rock aquifers are productive (water available within fractures). Therefore, this study was undertaken with a view to addressing these challenges. It is established using the GIS-based spatial analysis approach that 52.28 % of the underlain aquifers are productive. The minimum and maximum depths of the underlain fractured rocks are 19.8 and 50.6 m, respectively. Only 19 % of the total study area is unproductive while 42.35 % of the underlain basement complex is characterized by fractures. These fractures are completely saturated.
Article 0 Reads 1 Citation Investigation of non-stationarity of extreme rainfalls and spatial variability of rainfall intensity-frequency-duration ... Published: 21 April 2016
International Journal of Climatology, doi: 10.1002/joc.4716
Water infrastructure and flood mitigation projects are currently designed assuming a stationary climate. However, increased frequency and magnitude of extreme rainfall events questions the stationary climate assumption. The reality of non-stationary rainfall extremes should be properly considered in the design of water infrastructure and flood mitigation projects, because the extreme value distribution models with constant parameters may no longer be valid under non-stationary climate conditions. In this study, first extreme rainfall frequency analysis in Victoria (Australia) was conducted through generalized extreme value (GEV) models under non-stationary and stationary climate conditions, and superiority of non-stationary GEV models over stationary models was investigated. High quality extreme rainfall data (i.e. annual maximums) from 23 stations in Victoria for storm durations ranging from 10 min to 48 h were used for frequency analysis. In developing the non-stationary extreme rainfall models, both the time dependency and the dependency to indices of climate oscillations affecting Australian rainfall variability were investigated. It was found that none of the non-stationary GEV models was superior to stationary GEV models. Therefore, the stationary GEV models were used to determine the spatial variability of rainfall intensity–frequency–duration relationships in Victoria. In general, low rainfall intensity estimates in the Western Region (except southern portion for long storm durations) were found in Victoria, whereas high rainfall intensity estimates were detected mostly in the Central and Northern Regions for short storm durations and in the Gippsland Region for long storm durations. Copyright © 2016 John Wiley & Sons, Ltd.
Article 0 Reads 0 Citations Using a new pressure index for water distribution systems upgradation improvement evaluation Published: 18 April 2016
Water Science and Technology: Water Supply, doi: 10.2166/ws.2016.065
Potable water distribution systems (WDS) require upgrade strategies based on a pre-defined time interval which is identified by the responsible water authorities. The main goal of a potable water system upgrade is maintaining the standard and acceptable level of service after the occurrence of increases in the serviced population, asset ageing, and/or development of the serviced area. Defining the level of service varies by location according to the codes and regulations adopted by the water authority. In general, two main factors are notable in planning of WDS upgrade strategies: (1) the ‘Level of Service’ and (2) the ‘Upgrade Cost’. In the presented paper a new index has been introduced to evaluate the level of service for WDS from pressure point of view. The new index that is presented in this paper is named the ‘Pressure Index (PI)’, and incorporates a number of water connections for five different pressure regimes. As a case study three existing water network systems in the Castlemaine township area, located in central Victoria, Australia, have been investigated and the relationship between the ‘Upgrade Costs’ and improvement in PI factors is presented.
Article 0 Reads 2 Citations Climatic and spatial variability of potential rainwater savings for a large coastal city Published: 01 December 2015
Resources, Conservation and Recycling, doi: 10.1016/j.resconrec.2015.10.023
Highlights•Recently developed rainwater tank optimisation tool, eTank results were compared with an earlier developed tool, ‘Raintank Analyser’.•eTank calculated outcomes are comparable with ‘Raintank Analyser’ calculated outcomes only in average years.•In regards to water savings, significant climatic variations are expected for a particular area.•Also, for a large city significant spatial variations are expected depending on input variables (tank size, roof area and climate).•Under similar conditions an area with lower annual rainfall may provide higher water savings due to rainfall pattern. AbstractMajority of the investigations on rainwater harvesting focused on sizing and potential water savings including studies proposing different methods of estimating rainwater tank outcomes. Several studies used monthly rainfall data to estimate rainwater tank outcomes. However, quantification using daily rainfall data will be much more accurate compared to using monthly rainfall data. A vast majority of works using daily rainfall data used daily water balance model for analysis. Again most of the studies using daily water balance model used historical rainfall data, calculated water savings for many years and then presented an average of all the calculated years’ total outcome(s). ‘Raintank Analyser’ is a tool, which uses the same methodology and widely used; used by the South Australian policy makers for producing relevant design charts. In contrast, eTank, a daily water balance model was developed to produce potential rainwater savings, augmented townwater supply, tank overflow, reliability and payback period for three distinct climate conditions (dry, average and wet years). This paper presents comparison of eTank calculated potential water savings with those calculated by ‘Raintank Analyser’ under similar conditions for a rainfall station in central Adelaide. In general, ‘Raintank Analyser’ produced water savings are very close to the eTank calculated water savings in average year. However, through the eTank produced potential water savings in dry and wet years, it is found that significant climatic variations exist. Magnitudes of climatic variations under different scenario are presented. Again, to assess spatial variability, three more rainfall stations from different regions of Adelaide metropolitan were selected. eTank was used to calculated potential water savings in three climatic conditions (dry, average and wet years) for various combinations of roof and tank sizes. Again it is found that depending input variable conditions (tank size, roof area and climate) significant spatial variations exist within some of the regions. Also, it is found that potential water savings not only depends on total rainfall amount of a particular area, but also on other input conditions; i.e. under similar conditions an area with lower annual rainfall may provide higher water savings due to rainfall pattern.
Article 0 Reads 2 Citations Reliability and economic analysis of urban rainwater harvesting in a megacity in Bangladesh Published: 01 November 2015
Resources, Conservation and Recycling, doi: 10.1016/j.resconrec.2015.09.010
Highlights•Investigated the reliability and economic benefits of the urban RWH systems.•A daily water balance modelling approach was used.•Maximum achievable reliability was found to be about 15–25%.•Current underground tanks are sufficient to prevent the overflow during monsoon.•Economically feasible under wet and average year climate conditions. AbstractThis paper investigates the applicability, reliability and economic benefit of rainwater harvesting (RWH) systems to partially offset the daily water demand in the multistoried residential buildings in combination with the town water supply systems in Dhaka city. A comprehensive computer software was developed with a view to assessing the reliability and feasibility of the RWH systems in an urban setup. The software was developed using daily water balance modelling concept, which uses input data like daily rainfall, roof catchment area, runoff losses and tank volume. Three distinct climatic scenarios, i.e. wet, average and dry years were chosen by analysing historical 20-years daily rainfall data. Typical residential buildings of plot size 2.5–5.0 katha (168–335 m2) were considered for the study. Results indicated that about 15–25% reliability can be achieved under the wet climatic condition and for catchment sizes varying from 140 m2 to 200 m2, 250 kL to 550 kL of rainwater can be harvested each year. Several reliability curves have been presented for two roof catchment sizes (140 m2 and 200 m2) under three climatic scenarios and an insignificant increase in the reliability of the RWH system beyond the tank volume of 30 m3 was observed. The current underground tank sizes of the residential buildings are sufficient to prevent the potential overflow during monsoon. A monetary saving of around 2000 BDT can be achieved for the catchment size of 140 m2 with tank size of 40 m3 under average year climate condition and the monetary saving increases with increase in catchment size.