Trend Analysis in Annual and Monthly Pan Evaporation and Pan Coefficient in the Context of Climate Change in Togo

Djaman, Koffi; Koudahe, Komlan; Ganyo, Komla Kyky

doi:10.4236/gep.2017.512003

Cited by 9 publications

(5 citation statements)

References 28 publications

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“…The Mann Kendall analysis is a statistical test widely used for analysing trends in climatologic (Abrha, 2015); (Djaman, Koudahe, & Ganyo, 2017); (Bhuyan, Islam, & Bhuiyan, 2018); (Tabari & Talaee, 2011) and hydrologic time-series studies (Yue & Wang, 2004); (Yue & Hashino, 2003). There are two advantages of using this test.…”

Section: Mann Kendallmentioning

confidence: 99%

Spatial and Temporal Variation in Climate Trends in the Kyoga Plains of Uganda: Analysis of Meteorological Data and Farmers’ Perception

Chombo¹,

Lwasa²,

Tenywa³

2020

GEP

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With global warming now a certainty, it's important to investigate climate change elements at the local level so as to enable stake holders adapt in order to sustain their livelihoods. This study investigated local climate changes, farmers' perception of the changes and factors affecting perception to climate change in the Kyoga plains of Uganda. Monthly maximum temperature, minimum temperature and total rainfall from four meteorological stations within the study area for period 1984-2014 were obtained to analyse seasonal, annual and decadal trends in rainfall and temperature while a survey based on 384 randomly selected farmers was carried out to investigate the perception of variation in climate change trends among small holder farmers of different socioeconomic characteristics across the Kyoga plains. Multi stage random sampling was applied in the selection of the population sample. Non parametric analysis (Mann Kendall test) was used for analyzing trends and testing significance. In the survey, farmers were asked their observations about the local climate using structured questionnaires and these were analysed using descriptive statics. Logistics regression was then used to identify the factors that determined the perceptions of farmers on climate change. Overall, trends in monthly temperature are increasing over the years but not significantly while rainfall is decreasing but equally not significantly. Seasonal and decadal temperature had significant positive trends at different stations and sub zones over the years. 67% of the farmers realised a decrease in rainfall while 56.8% perceived an increase in temperature across the agroecological zone. 56.3% perceived declining rainfall and 52% realized increasing tem

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Section: Mann Kendallmentioning

confidence: 99%

Spatial and Temporal Variation in Climate Trends in the Kyoga Plains of Uganda: Analysis of Meteorological Data and Farmers’ Perception

Chombo¹,

Lwasa²,

Tenywa³

2020

GEP

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“…Evapotranspiration (ET), the process of water release to the atmosphere, plays a crucial role in irrigation management [1], water balance estimation [2], surface runoff estimation [3], groundwater level prediction [4], water stress assessment [5], reservoir management [6], daily flux modelling [7], and climate change impact assessment [8]. It determines the crop irrigation requirement and thus, irrigation management, the introduction of new crop, or crop scheduling to adapt to climate change [9][10][11]. It is a major component that defines surface runoff and therefore, important for designing drainage and hydraulic structure [12,13].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Empirical Reference Evapotranspiration Models Using Compromise Programming: A Case Study of Peninsular Malaysia

et al. 2019

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Selection of appropriate empirical reference evapotranspiration (ETo) estimation models is very important for the management of agriculture, water resources, and environment. Statistical metrics generally used for performance assessment of empirical ETo models, on a station level, often give contradictory results, which make the ranking of methods a challenging task. Besides, the ranking of ETo estimation methods for a given study area based on the rank at different stations is also a difficult task. Compromise programming and group decision-making methods have been proposed in this study for the ranking of 31 empirical ETo models for Peninsular Malaysia based on four standard statistical metrics. The result revealed the Penman-Monteith as the most suitable method of estimation of ETo, followed by radiation-based Priestley and Taylor and the mass transfer-based Dalton and Meyer methods. Among the temperature-based methods, Ivanov was found the best. The methodology suggested in this study can be adopted in any other region for an easy but robust evaluation of empirical ETo models.

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“…Most recent studies have revealed increasing, decreasing or no trend in rainfall amounts indicating the influence of climate change over rainfall (in the case of regions showing increasing or decreasing trends) or no influence (regions showing no trends). A few studies have also reported statistical trends in rainy days, evaporation rates, air temperature and extreme rainfall events correlated with climate change scenarios (Xu et al, 2006;Burn & Hesch, 2007;Bandyopadhya et al, 2009;Fu et al, 2009;Kumar & Jain, 2010, 2011Abtew et al, 2011;Jhajharia et al, 2012;Soltani et al, 2012;Kumar et al, 2012;Madhu et al, 2015;Soro et al, 2016;Djaman et al, 2017;Oliveira et al, 2017;Toride et al, 2018;Yang et al, 2019;Behzadi et al, 2020). The statistical trend results provide evidence for climate change effects on parameters analyzed and its contribution to regional climatic changes.…”

Section: Introductionmentioning

confidence: 78%

Trend characteristics of rainy days and evaporation at a tropical rainforest region in East Malaysia, Borneo

Mv¹,

Mv²,

Vijith³

2020

Earth sci. res. j.

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Impact of climate change over the hydrological system in a region can be identified through statistical characterization of hydrometerological parameters such as rainfall, temperature, humidity and evaporation. In order to understand the influence of climate change, statistical trend characteristics of rainy days, non-rainy days and evaporation rate in the Limbang River Basin (LRB) in Sarawak, Malaysia, Northern Borneo was assessed in the present research. Annual rainfall and monthly evaporation data, over a period of 46 years, (1970 - 2015) corresponding to three rain gauging stations, the Limbang DID, Ukong and Long Napir were used in the research. Linear regression model, Mann Kendall and Sen’s slope estimator techniques were applied to detect the statistical trends in rainy days and evaporation. A statistically significant increasing trend in annual rainy days was found at all the stations. Non-rainy days showed a statistically significant decreasing trend at Limbang DID and Ukong. Monthly evaporation rates showed an overall increasing trend and the greatest increasing trend in evaporation was observed in September (2.55 mm/year) for the Limbang DID and in December (2.61 mm/year) for Ukong. Evaporation measured at the Ukong station also showed a non-significant decrease during June and September. A comparison of the evaporation controlling meteorological variables such as rainfall, temperature and relative humidity indicates inter-influence at various strengths. Along with local precipitation characteristics, wind and fluctuation of atmospheric temperature over the region plays a vital role in increased rate of evaporation from the region. Overall, the analysis identified a statistically significant increasing trend in rainy days and evaporation in the LRB. The results of the present research can be used as critical planning data for micro and macro hydroelectric projects in the river basin.

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Trend Analysis in Annual and Monthly Pan Evaporation and Pan Coefficient in the Context of Climate Change in Togo

Abstract: Trend analysis was performed for the long-term measured pan evaporation and estimated pan coefficient for

Cited by 9 publications

References 28 publications

Spatial and Temporal Variation in Climate Trends in the Kyoga Plains of Uganda: Analysis of Meteorological Data and Farmers’ Perception

Spatial and Temporal Variation in Climate Trends in the Kyoga Plains of Uganda: Analysis of Meteorological Data and Farmers’ Perception

Evaluation of Empirical Reference Evapotranspiration Models Using Compromise Programming: A Case Study of Peninsular Malaysia

Trend characteristics of rainy days and evaporation at a tropical rainforest region in East Malaysia, Borneo

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