Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ figsharearrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
figshare
Other literature type . 2016
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2017
License: CC BY NC
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2017
License: CC BY NC
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2017
License: CC BY NC
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
figshare
Article . 2016
License: CC BY
Data sources: Datacite
versions View all 5 versions
addClaim

Situational Analysis of Flood and Drought in Rwanda

Authors: Sarkodie, Samuel Asumadu; Rufangura, Patrick; Jayaweera, Herath MPC; Owusu, Phebe Asantewaa;

Situational Analysis of Flood and Drought in Rwanda

Abstract

{"references": ["[1]\tEarthzine.org, (2013). IEEE Publication Fostering Earth Observation and Global Awareness. Retrived from: .\n[2]\tNicholas R. Bond, P. S. Lake and Angela H. Arthington. Impacts of drought on freshwater ecosystems: Australian perspective. Hydrobiologia (2008) 600:3\u201316.\n[3]\tAgence France-Presse (2007). Flooding caused 210 deaths in West Africa, said UN. Published on 17th October, 2007. Accessed on: 24th October, 2014. Available at: .\n[4]\tRwanda Environment Management Authority (REMA), (2013). Chap9: climate change and natural disasters. Retrived from: www.rema.gov.rw/soe/chap9.pdf\u200e>. Accessed on: 27/12/2013.\n[5]\tRwanda meteorology office service, (2013). Retrived from: .\n[6]\tTwagiramungu F., (2006). Environmental profile for Rwanda. Europian Comission, Rwanda.\n[7]\tUNDP in Rwanda, About in Rwanda.UNDP in Rwanda, (2013). Retrived from: . Accessed on: 26/12/2013.\n[8]\tRwanda Environment Management Authority (REMA). Chap3: Land use and agriculture. Retrived from: www.rema.gov.rw/soe/chap3.pdf\u200e. Accessed on: 27/12/2013\n[9]\tRwanda New times (2013). Retrived from: . Accessed on: 27/12/2013.\n[10]\tEM-DAT: The OFDA/CRED International Disaster Database, www.emdat.be- Universit\u00e9 catholique de Louvain - Brussels \u2013 Belgium.\n[11]\tRepublic of Rwanda, Ministry of Disaster Management a Refugee affairs (MIDMAR), (2012). Disaster management plan.\n[12]\tHategekimana, S., & Twarabamenya, E. (2007, September). The impact of wetlands degradation on water resources management in Rwanda: the case of Rugezi Marsh. In Proceedings of the 5th International Symposium on Hydrology.\n[13]\tMunyaneza O.,Ndayisaba C., Wali U.G., Mulungu, D.M.M,and Dulos S.O., (2012). Integrated flood and drought Management for sustainable Development in Kagera River.\n[14]\tTimes, T. (2013). The New Times, Rwanda. Retrived from: . Accessed on: 29/12/2013.\n[17]\tPachauri, R. K., Allen, M. R., Barros, V. R., Broome, J., Cramer, W., Christ, R., & Dasgupta, P. (Eds.). (2014). Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Intergovernmental Panel on Climate Change. \n[18]\tRaleigh, C., Choi, H. J., & Kniveton, D. (2015). The devil is in the details: An investigation of the relationships between conflict, food price and climate across Africa. Global Environmental Change, 32, 187-199.\n[19]\tFloods.wri.org, (2015). Aqueduct Global Flood Analyzer. Retrieved 24 May 2015, from .\n[20]\tIPCC, (2012): Workshop Report of the Intergovernmental Panel on Climate Change Workshop on Socio-Economic Scenarios. [Edenhofer, O., R. Pichs-Madruga, Y. Sokona, V. Barros, C.B. Field, T. Zwickel, S. Schloemer, K. Ebi, M. Mastrandrea, K. Mach, C. von Stechow (eds.)]. IPCC Working Group III Technical Support Unit, Potsdam Institute for Climate Impact Research, Potsdam Germany, pp. 51.\n[21]\tGassert, F., M. Luck, M. Landis, P. Reig, and T. Shiao. (2014). \"Aqueduct Global Maps 2.1: Constructing Decision-Relevant Global Water Risk Indicators.\" Working Paper. (Washington, DC: World Resources Institute, 2014). http://www.wri.org/publication/aqueduct-globalmaps-21-indicators.\n[22]\tBrakenridge, G. R. (2010). Global active archive of large flood events. Dartmouth Flood Observatory, University of Colorado. Available online: (accessed on 24 May 2015).\n[23]\tSheffield, J., & Wood, E. F. (2008). Projected changes in drought occurrence under future global warming from multi-model, multi-scenario, IPCC AR4 simulations. Climate dynamics, 31(1), 79-105.\n[24]\tWri.org, (2015). Aqueduct Water Risk. Retrieved 24 May 2015, from .\n[25]\tUNICEF, W. (2012). WHO Joint Monitoring Programme for Water Supply and Sanitation. Progress on Drinking Water and Sanitation: Special Focus on Sanitation.\n[26]\tSmith School of Enterprise and Environment (SSEE), (2011). Rwanda's climate: observation projections Appendix E.\n[27]\tRepublic of Rwanda, (2011). Green Growth and Climate Resilience: National Strategy for Climate Change and Low Carbon Development.\n[28]\tWri.org, (2015). Aqueduct Water Risk. Retrieved 24 May 2015, from .\n[29]\tWri.org, (2015). Aqueduct Water Risk. Retrieved 24 May 2015, from http://www.wri.org/applications/maps/aqueductatlas/."]}

In this paper, a situational analysis of flood and drought in Rwanda were assessed using AQUEDUCT Global Flood Analyzer based on the population, Gross Domestic Product (GDP) and urban damage for current and future projections (2030). In order to estimate future changes, three scenarios from: Representative Concentration Pathways (RCP) and Shared Socio-economic Pathways (SSP) from the Intergovernmental Panel on Climate Change 5th Assessment Report which represents climate change and socioeconomic change scenarios respectively were employed. Data from 1981-2010 were used to determine the average monthly precipitation for current years and IPCC scenario A2 was employed to generate datasets that predict the average monthly precipitation from 2011-2100 using Meteonorm 7 software. A 10-year flood protection level was employed to ascertain the rate of urban damage, its effects on Gross Domestic Product (GDP) and the Population at risk. The study revealed that, Rwanda has more than 20% probability of inland flooding in any given year; a 10-year flood has a 10% probability of occurring in any given year and could cause roughly $6.1 million urban damage; $865.6 million affected GDP and 837.2 thousand affected population, if there is no flood protection. Flood and drought events cannot be totally eradicated but with mitigation approach and preparedness before its occurrence: social and economic losses can be minimized. This record was migrated from the OpenDepot repository service in June, 2017 before shutting down.

Related Organizations
Keywords

AQUEDUCT Global Flood Analyzer, IPCC scenarios, Rwanda, flood protection, drought, flood

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 26
    download downloads 22
  • 26
    views
    22
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
2
Average
Average
Average
26
22
Green