Trend Analysis of Precipitation in Some Selected Stations in Anambra State

Ifeka, A.; Akinbobola, Ademola

doi:10.4236/acs.2015.51001

Cited by 18 publications

(15 citation statements)

References 10 publications

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“…Standardized Anomaly Index (SAI) for rainfall was used to group the years based on their standardized anomaly values. The SAI (see also Ifeka and Akinbola, 2015a) were set at normal (0.0); wet (above 0.0) and dry (below 0.0) years. Regression analysis was performed in SPSS version 20 to ascertain effect of changing climate time (years) on rainfall variations.…”

Section: Methodsmentioning

confidence: 99%

Impacts of variability and change in rainfall on gender of farmers in Anambra, Southeast Nigeria

Nnadi

Liwenga

Lyimo

et al. 2019

Heliyon

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Men and women farmers experience different impacts of climate variability and change (CVC). Research on the differentiated impacts of variability and change in rainfall on gender is limited in the study area. This study examined perceptions and experience of men and women farmers on the impacts of CVC, using climate data and farmers' perception from a gender perspective. It examined the effect of CVC on annual and seasonal rainfall, number of rain days, onset and cessation of rainfall; perceived impacts of CVC on annual and seasonal rainfall and compared the measured (meteorological) impacts with the perceived impacts across gender. Mixed methods of qualitative and quantitative data collection and participatory rural approaches were used. Household survey of 50% men and 50% women each were conducted in six farming communities. Data analysis involved the use of annual rainfall trends, Annual Rainfall Anomaly (ARA), Standardized Annual Rainfall Anomaly (SARA), regression analysis percentages and chi-square. Results reveal the occurrences of more dry years than wet years (ARA and SARA <0.00) in the three locations. There were wide variability and changes in inter-annual rainfall in Ogbaru (R 2 = 0.0003), Anambra East (R 2 = 0.0071) and Ayamelum (R 2 = 0.0014). Seasonal rainfall was unevenly distributed from 2007-2016. There were wide variations in dates of onset and cessation of rainy season (R 2 = 0.006) and number of rain days (R 2 = 0.009). Men and women responses revealed that there were statistically significant (p < 0.005) changes in the onset of rainy season, early cessation of annual rainfall; alteration of growing seasons; frequent flooding and frequent drought. Women felt more impact of food insecurity, water shortage and had more burden of migration due to changes in rainfall. This study concludes that respondents perceived and experienced impacts of CVC which varied across gender. Hence, it recommends the provision of sustainable water and irrigation system which should encourage women's participation in the construction, maintenance and management among others.

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Section: Methodsmentioning

confidence: 99%

Impacts of variability and change in rainfall on gender of farmers in Anambra, Southeast Nigeria

Nnadi

Liwenga

Lyimo

et al. 2019

Heliyon

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“…The least squares method can be used to fit trended or non-trended seasonal models to Iran series. The forecasts using least squares for Iran precipitation with additive and multiplicative models could be written in the following form for the additive model [23,28,38,51]:…”

Section: Forecast Models For Rainfalls Seriesmentioning

confidence: 99%

Trend and Homogeneity Analysis of Precipitation in Iran

Javari

2016

Climate

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Abstract:The main objective of this study is to examine trend and homogeneity through the analysis of rainfall variability patterns in Iran. The study presents a review on the application of homogeneity and seasonal time series analysis methods for forecasting rainfall variations. Trend and homogeneity methods are applied in the time series analysis from collecting rainfall data to evaluating results in climate studies. For the homogeneity analysis of monthly, seasonal and annual rainfall, homogeneity tests were used in 140 stations in the 1975-2014 period. The homogeneity of the monthly and annual rainfall at each station was studied using the autocorrelation (ACF), and the von Neumann (VN) tests at a significance level of 0.05. In addition, the nature of the monthly and seasonal rainfall series in Iran was studied using the Kruskal-Wallis (KW) test, the Thumb test (TT), and the least squares regression (LSR) test at a significance level of 0.05. The present results indicate that the seasonal patterns of rainfall exhibit considerable diversity across Iran. Rainfall seasonality is generally less spatially coherent than temporal patterns in Iran. The seasonal variations of rainfall decreased significantly throughout eastern and central Iran, but they increased in the west and north of Iran during the studied interval. The present study comparisons among variations of patterns with the seasonal rainfall series reveal that the variability of rainfall can be predicted by the non-trended and trended patterns.

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“…2). This increase may explain the strong variability in storminess (Ifeka & Akinbobola, 2015). For almost all months, precipitation increased between the two periods, with a particularly obvious increase over the humid season.…”

Section: Monthly Precipitation Trendsmentioning

confidence: 88%

“…This period is considered as rather long for a valid average statistical study (Kahya & Kalayci, 2004), especially as Burn & Elnur (2002) specify that a length of minimum 25 recorded years, ensures the statistical validity of results, when it is connected to trends and climate changes. (Ifeka & Akinbobola, 2015).…”

Section: Datamentioning

confidence: 99%

Precipitation trends in the Gambia River Basin (Senegal) for the period 1971-2010

Faye

2018

B SERBIAN GEOGRAPHIC

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Since the 1970s, West African streams experienced profound modifications connected to pluviometric deficit, which have influenced on a strong decrease of water resources. The objective of this study is to analyze trends of precipitation at the six selected stations in the Senegalese part of Gambia River basin, using graphical and statistical approach. Methodology is consisted of an analysis of monthly, seasonal and annual variability of precipitation for the 1971-2010 period, through Non-parametric tests. Study revealed a strong variability and often a contrasting evolution between various stations (Kédougou, Simenti, Tambacounda, Kounghel, Nioro and Goudiry). Between the periods 1971-1990 and 1991-2010, the value U of Mann-Whitney, had changed from 60 to 40 at Tambacounda, 64 to 59 at Kédougou and 63 to 51 at Simenti station, which showed non-significant trends in annual total precipitation for the studied period. Sen's estimator revealed significant descending trends on Kédougou station (9.812 mm/year for the period 1971-1990 and 0.309 mm/year for the period 1991-2010), and Simenti station too. On the other hand (in the whole article), on the stations of Tambacounda, Goudiry and Koungheul, the reduction is noticed for the period 1971-1990 (3.658 mm/year on Tambacounda), and an increase is noticed in the period 1991-2010 (13.21 mm/year on Tambacounda). For the station Nioro, on other hand, increase is noted in both periods (3.801 mm/year and 8.841 mm/year). The assumption is that these significant trends of precipitation during the last four decades could be attributed to the climate changes.

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Trend Analysis of Precipitation in Some Selected Stations in Anambra State

Cited by 18 publications

References 10 publications

Impacts of variability and change in rainfall on gender of farmers in Anambra, Southeast Nigeria

Impacts of variability and change in rainfall on gender of farmers in Anambra, Southeast Nigeria

Trend and Homogeneity Analysis of Precipitation in Iran

Precipitation trends in the Gambia River Basin (Senegal) for the period 1971-2010

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