The Yellow River basin becomes wetter or drier? The case as indicated by mean precipitation and extremes during 1961–2012

Liang, Kang; Liu, Sheng; Bai, Peng; Nie, Ruihua

doi:10.1007/s00704-014-1138-7

Cited by 32 publications

(23 citation statements)

References 54 publications

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“…Although positive trends in extreme precipitation dominated during the last few decades, these trends were not spatially uniform (Ghosh et al ., ; Liang et al ., ; Song et al ., ). The formation of precipitation is a complex process (Liu et al ., ).…”

Section: Resultsmentioning

confidence: 77%

“…Gemmer et al (2011) found that annual Mx1day in the Pearl River basin increased at only 6% of stations at the 0.1 significance level. In the Yellow River basin, situated in northern YRB, only 1.6% of stations measured increasing Mx1day trends at the 0.05 significance level (Liang et al, 2015). In the Songhua River basin in Northeastern China, no stations showed significant Mx1day trends (Song et al, 2015).…”

Section: Observed Trends In Annual and Seasonal Mx1day Using The Mk Testmentioning

confidence: 98%

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Changes in extreme precipitation in the Yangtze River basin and its association with global mean temperature and ENSO

Lü

Chen

et al. 2017

Intl Journal of Climatology

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Extreme precipitation events may lead to secondary disasters such as floods, landslides and erosion. The Yangtze River basin (YRB), which is home to a large population, is susceptible to flooding associated with heavy rainfall. Many dams have been constructed or planned for in the YRB. Understanding the changing behaviour of extreme precipitation and its relationship with other climatic factors will increase planners' ability to plan for, manage and respond to related flood events. This study investigated the trends in annual and seasonal maximum daily precipitation (Mx1day) using the iterative Mann–Kendall test. The non‐stationary Mx1day values were modelled to detect whether such changes were associated with rising local temperature (LTEM), global surface temperature (GTEM) or the El Niño–Southern Oscillation (ENSO). Location and scale parameters were considered individually in the non‐stationary generalized extreme value model during this study. Rising trends in annual Mx1day were identified at 73% of the stations studied. The June–July–August seasonal Mx1day exhibited the most pronounced increase among the four seasons. When location and scale were considered, 78 stations and 31 stations exhibited non‐stationary Mx1day, respectively. The impacts of both LTEM and ENSO on observed annual Mx1day in the YRB did not have field significance, while the impacts of GTEM did. At the YRB scale, the median sensitivity of the annual Mx1day to GTEM was 7.05% °C−1, while the median sensitivity of the annual Mx1day to LTEM was only 0.8% °C−1. The relationship between annual Mx1day and GTEM was more suitable for the Clausius–Clapeyron equation. The relationships between ENSO and observed seasonal Mx1day in March–April–May, June–July–August (JJA) and September–October–November (SON) were not field significant. However, a significant negative correlation between December–January–February Mx1day and ENSO was identified. The opposite effects of ENSO on extreme precipitation in JJA and SON may weaken the influence of ENSO on annual Mx1day.

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Section: Resultsmentioning

confidence: 77%

Section: Observed Trends In Annual and Seasonal Mx1day Using The Mk Testmentioning

confidence: 98%

Changes in extreme precipitation in the Yangtze River basin and its association with global mean temperature and ENSO

Lü

Chen

et al. 2017

Intl Journal of Climatology

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“…Linear regression analysis was used to analyze the trends and variation rate of hydrological and meteorological variables in different periods [59]. The slope of the linear regression equation is regarded as the variation rate during the specific period [60][61][62]. The significance of the correlation can be determined by the size of the Pearson correlation coefficient.…”

Section: Statistical Methods For Trend Analysis and Correlation Analysismentioning

confidence: 99%

Application of Landsat Imagery to Investigate Lake Area Variations and Relict Gull Habitat in Hongjian Lake, Ordos Plateau, China

Liang

Yan

2017

Remote Sensing

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Abstract:Lakes in arid and semi-arid regions have an irreplaceable and important role in the local environment and wildlife habitat protection. Relict Gull (Larus relictus), which is listed as a "vulnerable" bird species in the IUCN Red List, uses only islands in lakes for habitat. The habitat with the largest colonies in Hongjian Lake (HL), which is located in Shaanxi Province in China, has been severely threatened by persistent lake shrinkage, yet the variations in the area of the lake and the islands are poorly understood due to a lack of in situ observations. In this study, using the Modified Normalized Difference Water Index, 336 Landsat remote sensing images from 1988-2015 were used to extract the monthly HL water area and lake island area, and the driving factors were investigated by correlation analysis. The results show that the lake area during 1988-2015 exhibited large fluctuations and an overall downward trend of −0.94 km 2 /year, and that the lake area ranged from 55.02 km 2 in 1997 to 30.90 km 2 in 2015. The cumulative anomaly analysis diagnosed the lake variations as two sub-periods with different characteristics and leading driving factors. The average and change trend were 52.88 and 0.21 km 2 /year during 1988-1998 and 38.85 and −1.04 km 2 /year during 1999 , respectively. During 1988-1998, the relatively high precipitation, low evapotranspiration, and low levels of human activity resulted in a weak increase in the area of HL. However, in 1999-2015, the more severe human activity as well as climate warming resulted in a fast decrease in the area of HL. The variations in lake island area were dependent on the area of HL, which ranged from 0.02 km 2 to 0.22 km 2 . As the lake size declined, the islands successively outcropped in the form of the four island zones, and the two zones located in Northwest and South of HL were the most important habitats for Relict Gull. The formation of these island zones can provide enough space for Relict Gull breeding.

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“…Furthermore, studies have noted variations in extreme precipitation that may lead to local flooding over short periods of time, resulting in tremendous economic loss. In general, extreme precipitation is defined as annual total precipitation with daily precipitation > 95th percentile, named P95, which is one of the thirteen extreme precipitation indices introduced by the ETCCDI (the Expert Team on Climate Change Detection and Indices) [10,11]. Recent research indicates that extreme precipitation in Xinjiang also exhibits increasing trends [12][13][14][15][16], consistent with regional and global studies [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Possible Causes for Spatial and Temporal Variation of Warm Season Precipitation in Xinjiang from 1960–2014

et al. 2017

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Abstract:In this work, rain totals from 1960-2014, obtained during the warm season (May to October) from 52 meteorological stations, over Xinjiang, China were classified as either light, moderate, or heavy rain in two sub-regions (northern and southern). Spatial and temporal trends for rain amounts and days for the three rain classes were determined. All light, moderate, and heavy rain amounts displayed increasing trends over the two sub-regions. Furthermore, heavy rain amounts contributed the most to changes in total rain amounts. Light rain days in northern Xinjiang significantly decreased, in contrast to increasing light rain days in southern Xinjiang and moderate and heavy rain days within two sub-regions. Results obtained from correlation and relative weights analyses implied that lower-tropospheric specific humidity was the main factor responsible for light rain day trends in Xinjiang. Increasing temperatures were not found to have a significant effect.

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The Yellow River basin becomes wetter or drier? The case as indicated by mean precipitation and extremes during 1961–2012

Cited by 32 publications

References 54 publications

Changes in extreme precipitation in the Yangtze River basin and its association with global mean temperature and ENSO

Changes in extreme precipitation in the Yangtze River basin and its association with global mean temperature and ENSO

Application of Landsat Imagery to Investigate Lake Area Variations and Relict Gull Habitat in Hongjian Lake, Ordos Plateau, China

Possible Causes for Spatial and Temporal Variation of Warm Season Precipitation in Xinjiang from 1960–2014

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