Please use this identifier to cite or link to this item: http://197.159.135.214/jspui/handle/123456789/658
Title: Statistical Analysis of Recent and Future Rainfall and Temperature Variability in the Mono RiverWatershed (Benin, Togo)
Authors: Lawin, Agnidé Emmanuel
Hounguè, Nina Rholan
Biaou, Chabi Angelbert
Badou, Djigbo Félicien
Keywords: Mono River watershed
trend analysis
climate
Issue Date: Jan-2019
Publisher: MDPI
Abstract: This paper assessed the current and mid-century trends in rainfall and temperature over the Mono River watershed. It considered observation data for the period 1981–2010 and projection data from the regional climate model (RCM), REMO, for the period 2018–2050 under emission scenarios RCP4.5 and RCP8.5. Rainfall data were interpolated using ordinary kriging. Mann-Kendall, Pettitt and Standardized Normal Homogeneity (SNH) tests were used for trends and break-points detection. Rainfall interannual variability analysis was based on standardized precipitation index (SPI), whereas anomalies indices were considered for temperature. Results revealed that on an annual scale and all over the watershed, temperature and rainfall showed an increasing trend during the observation period. By 2050, both scenarios projected an increase in temperature compared to the baseline period 1981–2010, whereas annual rainfall will be characterized by high variabilities. Rainfall seasonal cycle is expected to change in the watershed: In the south, the second rainfall peak, which usually occurs in September, will be extended to October with a higher value. In the central and northern parts, rainfall regime is projected to be characterized by late onsets, a peak in September and lower precipitation until June and higher thereafter. The highest increase and decrease in monthly precipitation are expected in the northern part of the watershed. Therefore, identifying relevant adaptation strategies is recommended.
Description: Research Article
URI: http://197.159.135.214/jspui/handle/123456789/658
Appears in Collections:Climate Change and Disaster Risk Management

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