Variability of annual daily maximum rainfall of Dhaka, Bangladesh

Ahammed, Faisal; Hewa, Guna; Argue, John R.

doi:10.1016/j.atmosres.2013.10.013

Cited by 42 publications

(21 citation statements)

References 23 publications

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“…Considering the accumulation of P in the finest fractions of soils (Barberis and Withers, 2002;Scalenghe et al, 2007;Martin et al in press), it was indicated that heavy storm events can increase the concentration of P in river water, mainly in particulate form (Li et al, 2005). There are some evidence that extreme rainfalls and rapid flooding becoming more common (Shahid, 2011;Webster and Jian, 2011;Ahammed et al, 2014), and that mobilization of solid-phase P increased in comparison to dissolution of P (Martine et al 2016). The amount of P that can be lost from a fine particulate can be estimated through the particle concentration in the dispersion, and of the element concentration in the dispersed particulate (Martine et al, 2016).…”

Section: Extractionsmentioning

confidence: 96%

Relation between various soil phosphorus extraction methods and sorption parameters in calcareous soils with different texture

Jalali¹,

Jalali²

2016

Science of The Total Environment

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Section: Extractionsmentioning

confidence: 96%

Relation between various soil phosphorus extraction methods and sorption parameters in calcareous soils with different texture

Jalali¹,

Jalali²

2016

Science of The Total Environment

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“…We assumed the annual monthly maximum rainfall data as a normal distribution and considered a single-tailed test. This analysis was performed according to the methodology proposed by Ahammed et al [27]. Standardization of data was performed in order to eliminate potential data redundancy and inconsistent dependencies in a historic record rainfall (1980-2013) based on Ahammed et al [27].…”

Section: Temporary Distribution Of Rainwatermentioning

confidence: 99%

“…The potential of monthly rainwater harvesting from rooftops (VR) at the household level was determined using the method proposed by Aladenola and Adeboye [27] (Equation (2)):…”

Section: Potential Of Rainwater Harvesting and Water Demand Per Housementioning

confidence: 99%

Estimating the Rainwater Potential per Household in an Urban Area: Case Study in Central Mexico

Lizárraga-Mendiola

Vázquez‐Rodríguez

Blanco-Piñón

et al. 2015

Water

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Abstract:In cities with problems of aridity and a shortage of drinking water supply, there is an urgent need to establish alternatives for an adequate water management program. This study proposes an estimation through which users can select a rainwater harvesting system for non-drinking water consumption. For the cities of Pachuca and Mineral de la Reforma, State of Hidalgo, Central Mexico, the historical record of rainfall analyzed covers a period of 33 years . We calculated the monthly volume of rainwater harvestable from roof areas (VR, m

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“…Spatially, there is no significant difference in hazard classes found so far in the previous and current GIS based studies [1] [68] as mentioned earlier. From these perspectives, we recommend more attention towards permanent risk reduction approaches rather than focusing on the future rainfall as well as the LULC prediction [70]. We also advise to ensure essential risk reduction measures in this area.…”

Section: Resultsmentioning

confidence: 99%

Utilization of Open Source Spatial Data for Landslide Susceptibility Mapping at Chittagong District of Bangladesh—An Appraisal for Disaster Risk Reduction and Mitigation Approach

Islam¹,

Murshed²,

Kabir³

et al. 2017

IJG

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Since creation of spatial data is a costly and time consuming process, researchers, in this domain, in most of the cases rely on open source spatial attributes for their specific purpose. Likewise, the present research aims at mapping landslide susceptibility at the metropolitan area of Chittagong district of Bangladesh utilizing obtainable open source spatial data from various web portals. In this regard, we targeted a study region where rainfall induced landslides reportedly causes causalities as well as property damage each year. In this study, however, we employed multi-criteria evaluation (MCE) technique i.e., heuristic, a knowledge driven approach based on expert opinions from various discipline for landslide susceptibility mapping combining nine causative factors-geomorphology, geology, land use/land cover (LULC), slope, aspect, plan curvature, drainage distance, relative relief and vegetation in geographic information system (GIS) environment. The final susceptibility map was devised into five hazard classes viz., very low, low, moderate, high, and very high, representing 22 km 2 (13%), 90 km 2 (53%); 24 km 2 (15%); 22 km 2 (13%) and 10 km 2 (6%) areas respectively. This particular study might be beneficial to the local authorities and other stake-holders, concerned in disaster risk reduction and mitigation activities. Moreover this study can also be advantageous for risk sensitive land use planning in the study area.

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Variability of annual daily maximum rainfall of Dhaka, Bangladesh

Cited by 42 publications

References 23 publications

Relation between various soil phosphorus extraction methods and sorption parameters in calcareous soils with different texture

Relation between various soil phosphorus extraction methods and sorption parameters in calcareous soils with different texture

Estimating the Rainwater Potential per Household in an Urban Area: Case Study in Central Mexico

Utilization of Open Source Spatial Data for Landslide Susceptibility Mapping at Chittagong District of Bangladesh—An Appraisal for Disaster Risk Reduction and Mitigation Approach

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