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Modelling the impact of sanitation, population growth and urbanization on human emissions of cryptosporidium to surface waters: A case study for Bangladesh and India
- Source :
- Environmental Research Letters, 10 (9), 2015, Environmental Research Letters, 10, Vermeulen, L C, de Kraker, J, Hofstra, N, Kroeze, C & Medema, G 2015, ' Modelling the impact of sanitation, population growth and urbanization on human emissions of Cryptosporidium to surface water : a case study for Bangladesh and India ', Environmental Research Letters, vol. 10, no. 9, 094017, pp. 1-12 . https://doi.org/10.1088/1748-9326/10/9/094017, Environmental Research Letters 10 (2015), Environmental Research Letters, 10(9):094017, 1-12. IOP Publishing Ltd.
- Publication Year :
- 2015
-
Abstract
- Cryptosporidium is a protozoan parasite that can cause diarrhoea. Human faeces are an important source of Cryptosporidium in surface waters. We present a model to study the impact of sanitation, urbanization and population growth on human emissions of Cryptosporidium to surface waters. We build on a global model by Hofstra et al (2013 Sci. Total Environ. 442 10–9) and zoom into Bangladesh and India as illustrative case studies. The model is most sensitive to changes in oocyst excretion and infection rate, and to assumptions on the share of faeces reaching the surface water for different sanitation types. We find urban centres to be hotspots of human Cryptosporidium emissions. We estimate that 53% (Bangladesh) and 91% (India) of total emissions come from urban areas. 50% of oocysts come from only 8% (Bangladesh) and 3% (India) of the country area. In the future, population growth and urbanization may further deteriorate water quality in Bangladesh and India, despite improved sanitation. Under our 'business as usual' ('sanitation improvements') scenario, oocyst emissions will increase by a factor 2.0 (1.2) for India and 2.9 (1.1) for Bangladesh between 2010 and 2050. Population growth, urbanization and sanitation development are important processes to consider for large scale water quality modelling.
- Subjects :
- water pollution
WIMEK
model
Sanitation
biology
Renewable Energy, Sustainability and the Environment
Public Health, Environmental and Occupational Health
Cryptosporidium
Water quality modelling
scenario analysis
biology.organism_classification
water quality
Geography
Environmental Systems Analysis
sensitivity analysis
Urbanization
Milieusysteemanalyse
Population growth
Scenario analysis
Water quality
Improved sanitation
Water resource management
General Environmental Science
Subjects
Details
- Language :
- English
- ISSN :
- 17489326
- Database :
- OpenAIRE
- Journal :
- Environmental Research Letters, 10 (9), 2015, Environmental Research Letters, 10, Vermeulen, L C, de Kraker, J, Hofstra, N, Kroeze, C & Medema, G 2015, ' Modelling the impact of sanitation, population growth and urbanization on human emissions of Cryptosporidium to surface water : a case study for Bangladesh and India ', Environmental Research Letters, vol. 10, no. 9, 094017, pp. 1-12 . https://doi.org/10.1088/1748-9326/10/9/094017, Environmental Research Letters 10 (2015), Environmental Research Letters, 10(9):094017, 1-12. IOP Publishing Ltd.
- Accession number :
- edsair.doi.dedup.....642c50f43b2ec666813bf61a205433ea
- Full Text :
- https://doi.org/10.1088/1748-9326/10/9/094017