Spatio-temporal variations of precipitation extremes in Xinjiang, China

Zhang, Qiang; Singh, Vijay P.; Li, Jianfeng; Jiang, Feihong; Bai, Yanchao

doi:10.1016/j.jhydrol.2012.02.038

Cited by 146 publications

(76 citation statements)

References 45 publications

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“…This result shows that precipitation was the most important factor, followed by human activities and PET, which had the least effect. The driving factor that produced the largest contribution was precipitation, which presented a significantly increasing trend in Xinjiang as a result of climate change [76,77]. Thus, the slope change ratio of the cumulative FDV is similar to the slope change ratio of the accumulative precipitation and considerably different than the slope change ratio of the cumulative PET (Figure 6c).…”

Section: Scrcq Methodsmentioning

confidence: 89%

Quantitative Detection and Attribution of Runoff Variations in the Aksu River Basin

Meng

Huang

et al. 2016

Water

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Abstract:Since the flow variations of Aksu River are strongly influenced by climate change and human activities which threat the local ecosystem and sustainable development, it is necessary to quantify the impact degree of the driving factors. Therefore, this study aims to quantify the impacts of climate change and human activities on the variability of runoff in the Aksu River Basin. The Mann-Kendall trend test and accumulative anomaly method were used to detect the break points of the flow difference value (FDV) between the upstream and downstream flume stations. The improved slope change ratio of cumulative quantity (SCRCQ) method and the Soil and Water Assessment Tool (SWAT) model were applied to decouple the contribution of each driving factor to the FDV variations. Furthermore, a Pearson Correlation Analysis was performed to show the relationships among the driving factors and the FDV. The time series prior to the year (1988) of break point was considered as the baseline period. Based on the annual precipitation and the potential evapotranspiration (PET), the relative impacts of precipitation, PET and human activities on FDV variations as determined by the SCRCQ method were 77.35%,´0.98% and 23.63%, respectively. In addition, the SWAT model indicated that climate factors and human activities were responsible for 92.28% and 7.72% of the variability, respectively. Thus, climate change and human activities showed a similar scale of impact on FDV changes.

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Section: Scrcq Methodsmentioning

confidence: 89%

Quantitative Detection and Attribution of Runoff Variations in the Aksu River Basin

Meng

Huang

et al. 2016

Water

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“…The Earth's climate is changing largely in response to increased atmospheric concentrations of greenhouse gases (GHGs) (carbon dioxide, methane, halocarbons, nitrous oxide, sulfur hexafluoride) and particulate matter influenced majorly by anthropogenic emissions from fossil fuel and cement production [1][2][3][4][5][6][7][8]. In recent years, there has been heightened concerns about unmitigated alteration of our climate system which has exacerbated extreme weather events, accelerated sea level rise, desertification, coastal erosion, droughts, unprecedented rise in ambient temperature, flooding causing property damage and population displacement, and socioeconomic burdens [1].…”

Section: Introductionmentioning

confidence: 99%

“…On a global scale, extreme precipitation events filliped by thunderstorm activity, increased moisture levels in the atmosphere, and flash flooding appear to occur more frequently and these extreme events have been widely reported [16,[18][19][20][21][22][23][24]. Due of the excess water vapor in the atmosphere, increase in temperature is reported to be associated with the current increment in extreme precipitation events [7]. A large number of comprehensive studies on changes in daily extreme temperature and precipitation events have been conducted at local, regional and global scales [25][26][27][28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

“…A large number of comprehensive studies on changes in daily extreme temperature and precipitation events have been conducted at local, regional and global scales [25][26][27][28][29][30][31]. A few reviews have also indicated that these temperature and precipitation extreme events vary spatially [7,8,[32][33][34][35]. Other documented reports have considered changes in climate extremes across different geographic regions and timescales [36][37].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

<strong>Changes in Diurnal Temperature and Precipitation Extremes in North Central Region of Nigeria</strong>

Benson

Nwokike

Williams

et al. 2017

Proceedings of the 2nd International Electronic Conference on Atmospheric Sciences

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Global warming and changes in precipitation patterns are among the major effects of climate change. In this study, the long-term variability in ambient surface temperature and precipitation were evaluated in the north central region of Nigeria (Abuja, Kogi, Kwara, Niger, and Plateau) using meteorological observations obtained from . Daily precipitation data from synoptic weather stations were carefully quality-controlled using the RClimdex 1.1 developed by Expert Team on Climate Change Detection, Monitoring and Indices (ETCCDMI). The quality-controlled dataset were homogenized using RHtestsV4 and the detected change points were adjusted. Results showed a decrease in cool nights and cool days (TN10P, TX10P), and increasing trend in warm nights and days (TN90P, TX90P). The trend in rainfall is variable compared to changes in temperature. The precipitation indices indicated increasing trend in total annual precipitation (PRCPTOT), and a significant decrease in the number of consecutive wet days (CWD) in this region. In general, regional changes in climate temperature and precipitation extremes were significant (p<0.05) and could result in serious climate induced effects.

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“…Many literatures have been documented to understand the changes in frequency, intensity of EP in many regions and basins of China (Yang et al, 2010;Xia et al, 2011;Zhang et al, 2012;Fu et al, 2013;Wang et al, 2013;Li et al, 2014), and the EP events were observed to be more frequent in the past several decades and were projected to increase in the frequency and intensity in most areas of China (Zhai et al, 2005;Zhang et al, 2006;Gemmer et al, 2011). However, previous studies mainly focused on the changes of precipitation on the monthly or annual scale in the area of our case study (Chen et al, 2007;Zhang et al, 2007;Ren et al, 2014), and little attention had been paid to the variations on the daily scale, especially for the EP.…”

mentioning

confidence: 99%

Investigating the variation and non-stationarity in precipitation extremes based on the concept of event-based extreme precipitation

She

Shao

Xia

et al. 2015

Journal of Hydrology

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a b s t r a c tExtreme precipitations (EP) could induce a series of social, environmental and ecological problems. Traditional EP analysis usually investigated the characteristics based on a fixed time scale and therefore ignored the continuity of EP occurrence. As a result, a comprehensive assessment on the influence and consequence of the EP occurring during consecutive time periods were largely eliminated. On the other hand, the characteristics of EP, including variables such as frequency, intensity and extreme volume, were commonly defined without sufficient consideration of the local tolerance capacity (which can be represented by a threshold level of EP) and therefore would sometimes be inappropriate. In this study, we proposed a concept of event-based extreme precipitation (EEP) by considering the continuity of EP and defined the statistical variables for the characteristics of an EEP event by taking account of local tolerance capacity. An EEP was identified as a collection of precipitation data over the consecutive time period in which all the precipitation amounts are above the pre-defined threshold, and EEP events are separated by at least one time step (e.g., day or hour) with precipitation amount below the threshold. As a case study which in fact motivated our proposal, we investigated the changes and variations of EEP with the consideration of potential non-stationarity in the Hanjiang River Basin of China (HJRB) during the time period of 1960-2013. Results showed that the concept of EEP, which could reflect the impact of continuity of EP occurrence and mirror the differences of local tolerance capacity, was more appropriate than the traditional method in the EP analysis.Crown

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Spatio-temporal variations of precipitation extremes in Xinjiang, China

Cited by 146 publications

References 45 publications

Quantitative Detection and Attribution of Runoff Variations in the Aksu River Basin

Quantitative Detection and Attribution of Runoff Variations in the Aksu River Basin

<strong>Changes in Diurnal Temperature and Precipitation Extremes in North Central Region of Nigeria</strong>

Investigating the variation and non-stationarity in precipitation extremes based on the concept of event-based extreme precipitation

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