Quality Assessment of Stored Rainwater and Its Utilization in Dhaka City, Bangladesh

2010 ◽  
Vol 5 (3) ◽  
Author(s):  
M. M. Islam ◽  
M.R. Kabir ◽  
F.N.-F. Chou
Keyword(s):  
Drinking Water ◽  
Rural Areas ◽  
Urban Areas ◽  
Potable Water ◽  
Ph Value ◽  
Water Shortage ◽  
Total Coliform ◽  
Dhaka City ◽  
Small Catchment ◽  
Rural And Urban

Monsoons provide Bangladesh with ample rainwater. However, many regions, both rural and urban, suffer from shortage of safe drinking water. While arsenic contamination of ground water affects many rural areas, some urban areas, including Dhaka City, also lack of sufficient potable water supply due to shortage of surface water. This research explored the quality of stored rainwater as well as the feasibility of harvesting monsoon rainwater as a source of drinking water. Rainwater had been experimentally harvested at Bangladesh University of Engineering and Technology in Dhaka using a simple traditional technology. The rainwater was collected using a small catchment area (4.57 m × 4.57 m) made of water-proof cloth and a 3.2 m3 capacity ferro-cement storage tank, attached with an automatic initial flushing device, for a family having five members for four months. Initial test results indicated that the stored rainwater had a slightly higher pH value (8.1 to 8.3) and presence of total coliform after three months of storage. The traditional filtering system removed contaminants completely and the total coliforms up to 60%. This research supports the viability of traditional filtering of harvested rainwater as a promising solution to potable water shortage in Bangladesh.

scholarly journals The Impact of Social Disparities on Microbiological Quality of Drinking Water Supply in Ugu District Municipality of Kwazulu-Natal Province, South Africa

2019 ◽  
Vol 16 (16) ◽  
pp. 2972
Author(s):  
C. M. N. Khabo-Mmekoa ◽  
M. N. B. Momba
Keyword(s):  
Drinking Water ◽  
Urban Communities ◽  
Rural Areas ◽  
Urban Areas ◽  
Microbiological Quality ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Kwazulu Natal ◽  
Brick And Mortar

This study was undertaken to highlight the social disparity between rural and urban areas in terms of housing patterns, provision of safe drinking water, access to sanitation facilities, education, employment rate and health-related to diarrhoeal episodes in Ugu District Municipality of KwaZulu-Natal Province of South Africa. To achieve this aim, a survey was conducted using a structured questionnaire. Drinking water samples were collected from the point of supply and the storage containers to assess the microbiological quality of drinking water in both rural and urban areas. Results of this study revealed prominent residential segregation between rural and urban communities, whereby the houses in the rural areas were generally constructed with corrugated iron sheets, or mud brick and mortar whereas conventional brick-and-mortar construction was used to build those in the urban areas. All of the urban households had flush toilets in their houses (100%), while 98.2% of the rural households were relying on pit latrines and 1.8% were reported to defecate in an open field. The District unemployment rate was at 58.1% in rural areas and none among the urban community. Results also showed that only 13.6% of the rural dwellers completed their secondary education compared to 70.4% of the urban areas. The diarrhoeal episodes were high in rural areas (34.1%) while none of these episodes was reported in urban areas. Great disparity in the water supply persists between rural and urban communities. For the former, the standpipes located outside their homes (90.9%) remain the sole mode of access to drinking water, while in the urban area, all households had pipes/taps inside their houses. Assessment of the drinking water quality revealed only the stored drinking water used by the rural community of Ugu District was contaminated. High prevalence of E. coli ranging from 63.3 % to 66.7% was recorded only in stored water after the sequencing of 16S rRNA genes. Species-specific PCR primers exposed the presence of enteropathogenic Escherichia coli at a rate ranging between 1.4% and 3.7% in this water Overall, this study has been able to highlight the disparity left by the legacy of racial segregation in the Ugu Municipality District. Therefore, the local government must intervene in educating homeowners on safe water storage practices.

scholarly journals Tradable Permits for Controlling Nitrates in Groundwater at the Farm Level: A Conceptual Model

2000 ◽  
Vol 32 (2) ◽  
pp. 249-258 ◽  
Author(s):  
Cynthia L. Morgan ◽  
Jay S. Coggins ◽  
Vernon R. Eidman
Keyword(s):  
Drinking Water ◽  
Rural Areas ◽  
Agricultural Production ◽  
Urban Areas ◽  
Nitrate Contamination ◽  
Tradable Permits ◽  
Safe Drinking Water ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
The Cost

AbstractNitrate contamination of municipal and domestic well water supplies is becoming an increasing problem in many rural and urban areas, raising the cost of providing safe drinking water. The objective of this paper is to describe a marketable permit scheme that can effectively manage nitrate pollution of groundwater supplies for communities in rural areas without hindering agricultural production in watersheds. The key to implementing this scheme is being able to link nitrate leaching from nitrogen fertilizer applied to crops at a farm to nitrate levels measured at a drinking water well.

scholarly journals Status of drinking water quality and sanitation facilities in Subarnachar and Maijdee in Noakhali, Bangladesh

2019 ◽  
Vol 5 (1) ◽  
pp. 37-47
Author(s):  
Tanuja Barua ◽  
Sujit Kumar Roy ◽  
Mehedi Hasan Munna
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Rural Areas ◽  
Urban Areas ◽  
Pond Water ◽  
Drinking Water Quality ◽  
Critical Parameters ◽  
Mean Values ◽  
Rural And Urban ◽  
Total Dissolved Solid

The study was executed in Noakhali sadar (urban) and Subarnachar upazil (rural) to determine the drinking water quality and sanitation facilities. The baseline data was collected based on questionnaire survey. And the physicochemical and ionic constituents of drinking water were determined by analyzing water samples. The result showed that in rural areas about 87.5% families utilized tube-well water and the rest used polluted pond water, while in the urban areas, 91% families utilized supplied water by paying monthly. The sanitation situation in the rural area was not at satisfactory level. The mean values of several critical parameters from the two areas (rural and urban) were found to be the following. pH values were 7.10 and 7.63, respectively. Electric conductivity was found to be 530.17 and 768.76 μS/cm, respectively. Salinity value was 0.23 and 0.35 ppt, respectively. Total dissolved solid (TDS) was found to be 264.91 and 372.82 ppm, respectively. Elemental composition of the sampled water from the two areas were also obtained. Mean values of the amount of dissolved oxygen (DO) from the two areas were found to be 7.24 and 7.52 mg/l, respectively. Among the other elements, amount of phosphorus was 0.55 and 0.46 ppm, potassium was 43.82 and 35.82 mg/l, sulfate was 10.03 and 1.00 mg/l, chloride was 42.15 and 149.95 mg/l, and iron was 5.57 and 1.30 mg/l, respectively. It is clear that the drinking water quality for both areas was not good for direct consumption. The situation in the rural areas is worse than that in the urban areas. Asian J. Med. Biol. Res. March 2019, 5(1): 37-47

TURNING FARMERS INTO SOCIAL FARMER ENTREPRENEURS FOR DISADVANTAGED PEOPLE

2020 ◽  
Author(s):  
Remus Runcan
Keyword(s):  
Rural Communities ◽  
Low Income ◽  
Rural Areas ◽  
Urban Areas ◽  
Health And Safety ◽  
Physical Work ◽  
Healthy Environment ◽  
Rural And Urban Areas ◽  
Rural Development Programme ◽  
Rural And Urban

According to Romania’s National Rural Development Programme, the socio-economic situation of the rural environment has a large number of weaknesses – among which low access to financial resources for small entrepreneurs and new business initiatives in rural areas and poorly developed entrepreneurial culture, characterized by a lack of basic managerial knowledge – but also a large number of opportunities – among which access of the rural population to lifelong learning and entrepreneurial skills development programmes and entrepreneurs’ access to financial instruments. The population in rural areas depends mainly on agricultural activities which give them subsistence living conditions. The gap between rural and urban areas is due to low income levels and employment rates, hence the need to obtain additional income for the population employed in subsistence and semi-subsistence farming, especially in the context of the depopulation trend. At the same time, the need to stimulate entrepreneurship in rural areas is high and is at a resonance with the need to increase the potential of rural communities from the perspective of landscape, culture, traditional activities and local resources. A solution could be to turn vegetal and / or animal farms into social farms – farms on which people with disabilities (but also adolescents and young people with anxiety, depression, self-harm, suicide, and alexithymia issues) might find a “foster” family, bed and meals in a natural, healthy environment, and share the farm’s activities with the farmer and the farmer’s family: “committing to a regular day / days and times for a mutually agreed period involves complying with any required health and safety practices (including use of protective clothing and equipment), engaging socially with the farm family members and other people working on and around the farm, and taking on tasks which would include working on the land, taking care of animals, or helping out with maintenance and other physical work”

scholarly journals Urban–rural disparity in cancer incidence in China, 2008–2012: a cross-sectional analysis of data from 36 cancer registers

BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e042762
Author(s):  
Shuai Yuan ◽  
Shao-Hua Xie
Keyword(s):  
Cancer Incidence ◽  
Rural Areas ◽  
Urban Areas ◽  
Incidence Rates ◽  
Cancer Type ◽  
Anatomic Site ◽  
Cross Sectional ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Urban Rural

ObjectiveThe substantial differences in socioeconomic and lifestyle exposures between urban and rural areas in China may lead to urban–rural disparity in cancer risk. This study aimed to assess the urban–rural disparity in cancer incidence in China.MethodsUsing data from 36 regional cancer registries in China in 2008–2012, we compared the age-standardised incidence rates of cancer by sex and anatomic site between rural and urban areas. We calculated the rate difference and rate ratio comparing rates in rural versus urban areas by sex and cancer type.ResultsThe incidence rate of all cancers in women was slightly lower in rural areas than in urban areas, but the total cancer rate in men was higher in rural areas than in urban areas. The incidence rates in women were higher in rural areas than in urban areas for cancers of the oesophagus, stomach, and liver and biliary passages, but lower for cancers of thyroid and breast. Men residing in rural areas had higher incidence rates for cancers of the oesophagus, stomach, and liver and biliary passages, but lower rates for prostate cancer, lip, oral cavity and pharynx cancer, and colorectal cancer.ConclusionsOur findings suggest substantial urban–rural disparity in cancer incidence in China, which varies across cancer types and the sexes. Cancer prevention strategies should be tailored for common cancers in rural and urban areas.

Relating Household Consumption Expenditures to Road Traffic Fatalities: A Rural–Urban Study

2021 ◽  
pp. 036119812110332
Author(s):  
Ruchika Agarwala ◽  
Vinod Vasudevan
Keyword(s):  
Developing Countries ◽  
Traffic Safety ◽  
Rural Areas ◽  
Urban Areas ◽  
Household Consumption ◽  
Household Expenditure ◽  
Traffic Fatality ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
The Relationship

Research shows that traffic fatality risk is generally higher in rural areas than in urban areas. In developing countries, vehicle ownership and investments in public transportation typically increase with economic growth. These two factors together increase the vehicle population, which in turn affects traffic safety. This paper presents a study focused on the relationship of various factors—including household consumption expenditure data—with traffic fatality in rural and urban areas and thereby aims to fill some of the gaps in the literature. One such gap is the impacts of personal and non-personal modes of travel on traffic safety in rural versus urban areas in developing countries which remains unexplored. An exhaustive panel data modeling approach is adopted. One important finding of this study is that evidence exists of a contrasting relationship between household expenditure and traffic fatality in rural and urban areas. The relationship between household expenditure and traffic fatality is observed to be positive in rural areas and a negative in urban areas. Increases in most expenditure variables, such as fuel, non-personal modes of travel, and two-wheeler expenditures, are found to be associated with an increase in traffic fatality in rural areas.

A principal component analysis of the determinants of spatial disparity between rural and urban localities of Ghana

2017 ◽  
Vol 44 (6) ◽  
pp. 715-731 ◽  
Author(s):  
Ivy Drafor
Keyword(s):  
Principal Component Analysis ◽  
Rural Areas ◽  
Urban Areas ◽  
Principal Component ◽  
Component Analysis ◽  
Spatial Inequality ◽  
Necessary Condition ◽  
Spatial Disparity ◽  
Content Type ◽  
Rural And Urban

Purpose The purpose of this paper is to analyse the spatial disparity between rural and urban areas in Ghana using the Ghana Living Standards Survey’s (GLSS) rounds 5 and 6 data to advance the assertion that an endowed rural sector is necessary to promote agricultural development in Ghana. This analysis helps us to know the factors that contribute to the depravity of the rural sectors to inform policy towards development targeting. Design/methodology/approach A multivariate principal component analysis (PCA) and hierarchical cluster analysis were applied to data from the GLSS-5 and GLSS-6 to determine the characteristics of the rural-urban divide in Ghana. Findings The findings reveal that the rural poor also spend 60.3 per cent of their income on food, while the urban dwellers spend 49 per cent, which is an indication of food production capacity. They have low access to information technology facilities, have larger household sizes and lower levels of education. Rural areas depend a lot on firewood for cooking and use solar/dry cell energies and kerosene for lighting which have implications for conserving the environment. Practical implications Developing the rural areas to strengthen agricultural growth and productivity is a necessary condition for eliminating spatial disparities and promoting overall economic development in Ghana. Addressing rural deprivation is important for conserving the environment due to its increased use of fuelwood for cooking. Absence of alternatives to the use of fuelwood weakens the efforts to reduce deforestation. Originality/value The application of PCA to show the factors that contribute to spatial inequality in Ghana using the GLSS-5 and GLSS-6 data is unique. The study provides insights into redefining the framework for national poverty reduction efforts.

Diversity, status and habitat usage of avifauna at sadar upazila, magura, Bangladesh

2021 ◽  
Vol 48 (2) ◽  
pp. 441-456
Author(s):  
Ashikur Rahman Shome ◽  
Md Mahabub Alam ◽  
Md Fazle Rabbe ◽  
Mohammad Mijanur Rahman ◽  
Mohammad Firoj Jaman
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Winter Season ◽  
Bird Species ◽  
Diversity Indices ◽  
Habitat Diversity ◽  
Seasonal Abundance ◽  
Line Transect ◽  
Common Myna ◽  
Rural And Urban

A study on diversity, status, and habitat preference of avifauna was conducted from November 2017 to October 2018 in Magura Sadar upazila, Magura. Data was collected through direct field observations using line-transect method. Field surveys were made for three days per month in both rural and urban sites. A total of 140 species of birds belonged to 18 orders and 48 families were reported. Among the total species, 55% (77 species) were non-passerines and 45% (63 species) passerines with the highest individuals were counted under order Passeriformes. Resident bird species were dominant (106 species, 75.71%) over migratory (34 species, 24.28%) species. Species richness was the highest in the rural areas (124 species, 88.57%) and occurrence was the highest in winter season (97 species, 69.29%). The maximum species were recorded from trees (87 species, 62.14%) as preferred habitat. In this study, in total 4,060 individuals of birds were counted and among them, 51.55% (n=2093) were observed in the rural areas and 48.45% (n=1967) were in the urban areas. The highest number of birds was found in December (10.34%, n=432) and seasonal abundance was the highest in winter (40.15%, n=1630). Abundance was the highest for Common Myna (5.76%, n=234) among all recorded species. Diversity indices showed that the bird species were the most diverse in the rural areas in the winter season and in July. Habitat diversity indices were the highest for trees and birds used different types of habitats at different times for roosting, breeding and feeding. Regarding the observation status, 29.28% species was very common, 4.28% common, 31.42% fairly common, and 35% were few. This baseline data indicate that this study site is significant from the ecological and conservation point of views. Therefore, further research is necessary to understand how this avian diversity is maintained in this ecological setting. Bangladesh J. Zool. 48(2): 441-456, 2020

Komparácia pro-poor rastu vo vidieckych a mestských oblastiach Indonézie

2021 ◽  
Author(s):  
Barbora Frličková
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Poor People ◽  
Average Income ◽  
Poor Growth ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Poverty And Inequality ◽  
Partial Period ◽  
Urban And Rural Areas

The paper analyses construction and use of a selected indicator of pro-poor growth – the rate of pro-poor growth. It further explains the interpretation of this indicator in absolute and relative terms and indicates how economic growth affects poverty and inequality. The selected indicator is applied to the example of Indonesia and compares pro-poor growth in urban and rural areas of the country, examines regional disparities in terms of pro-poor growth for the period 1996–2019. From the absolute interpretation, pro-poor growth is observed in both urban and rural areas over the whole period. In relative terms, results of pro-poor growth for the first partial period (1996–2000) differ. While there was a relative pro-poor growth in the rural areas, there was a strong pro-poor growth in the cities with a significant decline in inequality observed (incomes of poor people increased while the average income of the whole population dropped). Indonesia achieved trickle-down growth in both rural and urban areas in two remaining periods (2000–2010 and 2010–2019).

Damage assessment mapping of rural environments; integration of SAR and Optical data

2021 ◽  
Author(s):  
Shiran Havivi ◽  
Stanley R. Rotman ◽  
Dan G. Blumberg ◽  
Shimrit Maman
Keyword(s):  
Natural Disaster ◽  
Rural Areas ◽  
Urban Areas ◽  
Damage Assessment ◽  
Vegetation Index ◽  
Urban Environments ◽  
Optical Data ◽  
Damage Level ◽  
Rural Environments ◽  
Rural And Urban

<p>The damage caused by a natural disaster in rural areas differs in nature, extent, landscape and in structure, from the damage in urban environments. Previous and current studies focus mainly on mapping damaged structures in urban areas after catastrophe events such as an earthquake or tsunami. Yet, research focusing on the damage level or its distribution in rural areas is absent. In order to apply an emergency response and for effective disaster management, it is necessary to understand and characterize the nature of the damage in each different environment. </p><p>Havivi et al. (2018), published a damage assessment algorithm that makes use of SAR images combined with optical data, for rapid mapping and compiling a damage assessment map following a natural disaster. The affected areas are analyzed using interferometric SAR (InSAR) coherence. To overcome the loss of coherence caused by changes in vegetation, optical images are used to produce a mask by computing the Normalized Difference Vegetation Index (NDVI) and removing the vegetated area from the scene. Due to the differences in geomorphological settings and landuse\landcover between rural and urban settlements, the above algorithm is modified and adjusted by inserting the Modified Normalized Difference Water Index (MNDWI) to better suit rural environments and their unique response after a disaster. MNDWI is used for detection, identification and extraction of waterbodies (such as irrigation canals, streams, rivers, lakes, etc.), allowing their removal which causes lack of coherence at the post stage of the event. Furthermore, it is used as an indicator for highlighting prone regions that might be severely affected pre disaster event. Thresholds are determined for the co-event coherence map (≤ 0.5), the NDVI (≥ 0.4) and the MNDWI (≥ 0), and the three layers are combined into one. Based on the combined map, a damage assessment map is generated. </p><p>As a case study, this algorithm was applied to the areas affected by multi-hazard event, following the Sulawesi earthquake and subsequent tsunami in Palu, Indonesia, which occurred on September 28th, 2018. High-resolution COSMO-SkyMed images pre and post the event, alongside a Sentinel-2 image pre- event are used as inputs. The output damage assessment map provides a quantitative assessment and spatial distribution of the damage in both the rural and urban environments. The results highlight the applicability of the algorithm for a variety of disaster events and sensors. In addition, the results enhance the contribution of the water component to the analysis pre and post the event in rural areas. Thus, while in urban regions the spatial extent of the damage will occur in its proximity to the coastline or the fault, rural regions, even in significant distance will experience extensive damage due secondary hazards as liquefaction processes.     </p>

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