Investigation of trend analysis of monthly total precipitation by an innovative method

Ay, Murat; Kisi, Özgür

doi:10.1007/s00704-014-1198-8

Cited by 115 publications

(52 citation statements)

References 43 publications

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“…The nonparametric Mann-Kendall (MK) test was performed for testing the significance of change [46,47]. The trends of P, WI, and HI were detected as site observation data by the MK method.…”

Section: Trend Analysismentioning

confidence: 99%

Detecting Sustainability of Desertification Reversion: Vegetation Trend Analysis in Part of the Agro-Pastoral Transitional Zone in Inner Mongolia, China

Lian

Zhao

et al. 2017

Sustainability

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Vegetation dynamics are an important topic in the field of global environment change, which is of great significance to monitor temporal-spatial variability of desertification at regional or global scales. Following the reported desertification reversion in the late 1990s in the Horqin Sandy Land, an issue was concerned for desertification control by decreased water availability. To detect the desertification process, MODIS Normalized Difference Vegetation Index (NDVI) sequences were investigated to analyze the effect on vegetation over the 2000-2015 growing season. Results showed that: (1) NDVI sequences exhibited a positive trend in most of the significant pixels (19.1%-44.7% of the total), particularly in the southeastern part of Horqin, while showing a negative trend of 2.2%-4.3%; (2) NDVI was weakly related to precipitation since 2000, because intensified anthropogenic activities have obscured the impacts of climate variables, with a rapid decrease in grassland, and increase in cropland and woodland; and (3) the improved NDVI was interpreted by expanding cropland and excessive groundwater irrigation, according to the positive effect of grain yield on NDVI all over the Horqin area. For persistent desertification reversion, a land use strategy should be more adaptive to the carrying capacity in this agro-pastoral transitional zone, particularly with respect to water capacity.

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“…The nonparametric Mann-Kendall (MK) test was performed for testing the significance of change [46,47]. The trends of P, WI, and HI were detected as site observation data by the MK method.…”

Section: Trend Analysismentioning

confidence: 99%

Detecting Sustainability of Desertification Reversion: Vegetation Trend Analysis in Part of the Agro-Pastoral Transitional Zone in Inner Mongolia, China

Lian

Zhao

et al. 2017

Sustainability

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“…Then there were successively assigned to it empirical probability of exceedance according to (1) the highest value) to p = 0.980 (for the lowest value):…”

Section: Depth-duration-frequency Modelmentioning

confidence: 99%

Maximum Rainfall Model Based on Archival Pluviographic Records – Case Study for Legnica (Poland)

Kaźmierczak

Wdowikowski

2016

Period. Polytech. Civil Eng.

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“…To evaluate the variability of daily precipitation maxima recorded in consecutive n years, the ordinary least squares (OLS) linear regression and the non-parametric Mann-Kendall test were used Ay, Kisi 2015;Ledvinka, Lamacova 2015).…”

Section: Variability Of Maximum Rainfallmentioning

confidence: 99%

Maximum daily rainfall analysis at selected meteorological stations in the upper Lusatian Neisse River basin

Wdowikowski¹,

Kaźmierczak²,

Ledvinka³

2016

Meteorol. Hydrol. Water Manage.

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Abstract. The scope of this study was to assess the usefulness of top probability distributions to describe maximum rainfall data in the Lusatian Neisse River basin, based on eight IMWM-NRI meteorological stations. The research material was composed of 50-year precipitation series of daily totals from 1961 to 2010. Misssing measurement data were estimated using a weighted average method. Homogeneity for refilled data were investigated by precipitation double aggregation curve. Correlation between the measurement data varied from 96 to 99% and did not indicate a violation of the homogeneity of rainfall data series. Variability of recorded daily precipitation maxima were studied by linear regression and non-parametric Mann-Kendall tests. Long-term period changes at maximum rainfalls for four stations remained statistically insignificant, and for the other four were significant, although the structure of maximums was relatively similar. To describe the measured data, there were used the Fréchet, Gamma, Generalized Exponential Distribution (GED), Gumbel, Log-normal and Weibull distributions. Particular distribution parameters were estimated using the maximum likelihood method. The conformity of the analyzed theoretical distributions with measured data was inspected using the Schwarz Bayesian information criterion (BIC) and also by the relative residual mean square error (RRMSE). Among others, the Gamma, GED, and Weibull distributions fulfilled the compliance criterion for each meteorological station respectively. The BIC criterion indicated GED as the best; however differences were minor between GED on the one hand and the Gamma and Weibull distributions on the other. After conducting the RRMSE analysis it was found that, in comparison to the other distributions, GED best describes the measured maximum rainfall data.

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Investigation of trend analysis of monthly total precipitation by an innovative method

Cited by 115 publications

References 43 publications

Detecting Sustainability of Desertification Reversion: Vegetation Trend Analysis in Part of the Agro-Pastoral Transitional Zone in Inner Mongolia, China

Detecting Sustainability of Desertification Reversion: Vegetation Trend Analysis in Part of the Agro-Pastoral Transitional Zone in Inner Mongolia, China

Maximum Rainfall Model Based on Archival Pluviographic Records – Case Study for Legnica (Poland)

Maximum daily rainfall analysis at selected meteorological stations in the upper Lusatian Neisse River basin

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