Trends in precipitation extremes over the Yellow River basin in North China: Changing properties and causes

Gao, Tao; Wang, Huailiang

doi:10.1002/hyp.11192

Cited by 53 publications

(41 citation statements)

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“…when height is increased R20 stops decreasing, which is also coherent with the positive pattern of rainfall through elevation (Yao et al ., ). Also, a significant negative correlation for R20 has been reported by Gao and Wang (). In the range 1,585–2,425 m, RX5day, SDII, R10, R20, CDD and PRCPTOT had a negative correlation between moderate and weak (Table ).…”

Section: Resultsmentioning

confidence: 97%

“…This reduction in CDD is coherent with the precipitation increase that occurs when elevation increases (Yao et al ., ). Other studies have also found a significant correlation between CDD and elevation (Zhang et al ., ; Gao and Wang, ). In the same way, for the range 1,995–2,425 m, the majority of correlations were negative and varied from moderate to weak; the unique index with a positive correlation was CDD, which was weak (Table ).…”

Section: Resultsmentioning

confidence: 99%

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Observed trends in daily extreme precipitation indices in Aguascalientes, Mexico

Ruíz-Álvarez

Singh

Enciso³

et al. 2019

Meteorological Applications

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Precipitation and its distribution greatly influence the evolution of ecosystems and the development of society. The objective was to analyse trends in extreme precipitation indices at 25 weather stations of Aguascalientes State. Eleven extreme precipitation indices were obtained. The time series of these indices were analysed with the non‐parametric Mann–Kendall test. The number of days above 50 mm, consecutive wet days, and extremely wet days did not have significant trends at any of the weather stations. Each of the indices maximum 1 day precipitation amount, maximum 5 day precipitation amount and number of very heavy precipitation days showed a significant positive trend at 12% of the weather stations; both the number of heavy precipitation days and the number of very wet days had significant positive trends at 8% of the weather stations; the simple daily intensity index, consecutive dry days and annual total wet‐day precipitation showed significant positive trends at 20%, 36% and 4% of weather stations, respectively. The intensity index was the only one that showed a significant negative trend, which happened at 4% of the weather stations. In a small part of Aguascalientes, the precipitation intensity, the number of rainy days and the accumulated total increased in short periods. Also, in a reduced region, daily precipitation intensity decreased; and in another very small area the number of dry days increased. For mitigating the effects of these phenomena, it is suggested that water be used more efficiently for sustained agricultural production systems and ecosystem management. The results of the present study will be of great importance in future economic planning in the Aguascalientes State.

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Section: Resultsmentioning

confidence: 97%

Section: Resultsmentioning

confidence: 99%

Observed trends in daily extreme precipitation indices in Aguascalientes, Mexico

Ruíz-Álvarez

Singh

Enciso³

et al. 2019

Meteorological Applications

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“…This basin has undergone climate variability and land use change in recent decades [32]. Studies showed that in the central-south Yellow River basin the intensity of precipitation extremes increased between the years 1986 and 2011, and may have resulted in increased surface runoff [33,34]. The annual average air temperature showed a significant increasing trend in recent decades which may induce the occurrence of increased evapotranspiration [13,35].…”

Section: Introductionmentioning

confidence: 99%

The Impacts of Climate Variability and Land Use Change on Streamflow in the Hailiutu River Basin

Guang-hua

Guan

Zhang

et al. 2018

Water

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Abstract:The Hailiutu River basin is a typical semi-arid wind sandy grass shoal watershed in northwest China. Climate and land use have changed significantly during the period 1970-2014. These changes are expected to impact hydrological processes in the basin. The Mann-Kendall (MK) test and sequential t-test analysis of the regime shift method were used to detect the trend and shifts of the hydrometeorological time series. Based on the analyzed results, seven scenarios were developed by combining different land use and/or climate situations. The Soil Water Assessment Tool (SWAT) model was applied to analyze the impacts of climate variability and land use change on the values of the hydrological components. The China Meteorological Assimilation Driving Datasets for the SWAT model (CMADS) was applied to enhance the spatial expressiveness of precipitation data in the study area during the period 2008-2014. Rather than solely using observed precipitation or CMADS precipitation, the precipitation values of CMADS and the observed precipitation values were combined to drive the SWAT model for better simulation results. From the trend analysis, the annual streamflow and wind speed showed a significant downward trend. No significant trend was found for the annual precipitation series; however, the temperature series showed upward trends. With the change point analysis, the whole study period was divided into three sub-periods (1970-1985, 1986-2000, and 2001-2014). The annual precipitation, mean wind speed, and average temperature values were 316 mm, 2.62 m/s, and 7.9 • C, respectively, for the sub-period [1970][1971][1972][1973][1974][1975][1976][1977][1978][1979][1980][1981][1982][1983][1984][1985] 272 were the increased area of shrub and grass land and decreased area of sandy land. In the simulation it was shown that these changes caused the mean annual streamflow to decrease by 0.23 mm/year and 0.68 mm/year during the periods 1986-2000 and 2001-2014, respectively. Thus, the impact of climate variability on the streamflow was more profound than that of land use change. Under the impact of coupled climate variability and land use change, the mean annual streamflow decreased by 2.45 mm/year during the period 1986-2000, and the contribution of this variation to the decrease in observed streamflow was 27.8%. For the period 2001-2014, the combined climate variability and land use change resulted in an increase of 0.84 mm/year in annual streamflow. The results obtained in this study could provide guidance for water resource management and planning in the Erdos plateau.

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“…Whereas drought is a natural event, which results from receiving less precipitation than the long‐term average for an extended period of time (Smakhtin, ), flood is a rather short‐duration phenomenon that originates from an extremely high amount of precipitation. Because the occurrence of these natural hazards is closely interconnected with the amount and frequency of extreme precipitation, analysis of trends and variations in extreme precipitation has recently received a great deal of attention (Du, Xia, Zeng, She, & Liu, ; Gao & Wang, ; Hosseinzadehtalaei, Tabari, & Willems, ).…”

Section: Introductionmentioning

confidence: 99%

“…Because the occurrence of these natural hazards is closely interconnected with the amount and frequency of extreme precipitation, analysis of trends and variations in extreme precipitation has recently received a great deal of attention (Du, Xia, Zeng, She, & Liu, 2014;Gao & Wang, 2017;Hosseinzadehtalaei, Tabari, & Willems, 2017).…”

Section: Introductionmentioning

confidence: 99%

Decadal variability analysis of extreme precipitation in Turkey and its relationship with teleconnection patterns

Düzenli

Tabari

Willems

et al. 2018

Hydrological Processes

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Natural disasters such as droughts and floods originate as a consequence of excessive high or low precipitation amount and/or frequency. Due to the temporal persistence of the latter, the disasters tend to cluster in time. Because global ocean–atmosphere teleconnection patterns with (multi‐)decadal oscillations are tightly related with the precipitation variability, it is useful to analyse precipitation variability at the same timescale to understand any possible connection between them. In this study, decadal oscillations of daily extreme precipitation are investigated using quantile perturbation method for 65 stations in Turkey for the period 1955–2014. Arctic Oscillation (AO), North Atlantic Oscillation (NAO), Southern Oscillation Index (SOI), and Western Mediterranean Oscillation teleconnection patterns are examined for their relation with the extreme precipitation variability. The analyses are conducted for four climatic seasons and seven subregions. According to the analysis based on single drivers, NAO is identified as the most effective driver of Turkish extreme precipitation variability in winter, especially over regions influenced by the Mediterranean climate, whereas AO has a similar effect. When the teleconnection patterns are investigated in pairs, the combination of the NAO and SOI results in the strongest influence on the winter extremes. Though obvious differences are not recorded between the results of linear and nonlinear methods for single driver analysis, the nonlinear method is superior for the multiple driver analysis.

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Trends in precipitation extremes over the Yellow River basin in North China: Changing properties and causes

Cited by 53 publications

References 58 publications

Observed trends in daily extreme precipitation indices in Aguascalientes, Mexico

Observed trends in daily extreme precipitation indices in Aguascalientes, Mexico

The Impacts of Climate Variability and Land Use Change on Streamflow in the Hailiutu River Basin

Decadal variability analysis of extreme precipitation in Turkey and its relationship with teleconnection patterns

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