Topography-based spatial patterns of precipitation extremes in the Poyang Lake basin, China: Changing properties and causes

Zhang, Qiang; Xiao, Mingzhong; Li, Jianfeng; Singh, Vijay P.; Wang, Zongzhi

doi:10.1016/j.jhydrol.2014.03.010

Cited by 53 publications

(25 citation statements)

References 21 publications

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“…However, the interaction between ENSO and PDO is complicated and its impacts on precipitation, especially heavy precipitation, are various in different regions (Chan and Zhou, 2005;Ouyang et al, 2014). For China, the occurrences of heavy precipitation in different regions can be affected by different factors, such as monsoon (Yang et al, 2013), tropical cyclone (Ying et al, 2011), and topography (Zhang et al, 2014b), which can disturb the relationships between occurrences of heavy precipitation and ENSO and PDO. Our studies found that ENSO and PDO have larger influences on the occurrences of heavy precipitation, which is in line with previous studies (Chan and Zhou et al, 2005;Ouyang et al, 2014;Tian et al, 2016).…”

Section: Impacts Of Climate Indices On the Frequency Of Occurrence Ofmentioning

confidence: 99%

Non‐stationarities in the occurrence rate of heavy precipitation across China and its relationship to climate teleconnection patterns

Zhang

Singh

et al. 2017

Intl Journal of Climatology

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The variability of occurrence rate of heavy precipitation (HPOR) across China was analysed to examine if the change in heavy precipitation satisfied the stationarity assumption. HPOR obtained by peaks‐over‐threshold (POT) sampling can be interpreted as a realisation of a point process, which can be represented as a Poisson process. A number of methods, including kernel density estimation method, Cox regression model, Poisson regression model and Generalized Additive Models for Location, Scale, and Shape (GAMLSS), were used to evaluate the nonstationarity in HPOR. Nonstationarity was also assessed for HPOR defined by different thresholds which indicate different levels of severity of heavy precipitation. Our results indicated that: (1) HPOR in northwestern China, a typical arid region, is subject to the most uneven temporal distribution and a significantly increasing trend in terms of inter‐annual variability. Moreover, this uneven temporal distribution is increasing for greater heavy precipitation events defined by higher percentiles, and the changing pattern is opposite in eastern, central and southwestern China; (2) the seasonal variability of HPOR is significantly related to climate indices during the year, which shows that the HPOR is not independent and exhibits nonstationary with seasonality. However, as the thresholds increase, the impacts of climate indices on HPOR are found to be weakening; (3) the annual number of greater heavy precipitation is subject to over‐dispersion, however, under‐dispersion can be identified for the annual number of heavy precipitation events defined by lower thresholds. Higher Southern Oscillation Index (SOI) and Pacific Decadal Oscillation (PDO) may trigger an increase in the frequency of heavy precipitation in northeastern and eastern China. These findings show the challenges of flood preventions and water resources management in a changing climate.

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Section: Impacts Of Climate Indices On the Frequency Of Occurrence Ofmentioning

confidence: 99%

Non‐stationarities in the occurrence rate of heavy precipitation across China and its relationship to climate teleconnection patterns

Zhang

Singh

et al. 2017

Intl Journal of Climatology

Self Cite

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“…Precipitation in China generally shows a large variability in spatial and temporal distribution, and changes in the frequency and intensity of extremes due to climate change [Liu et al, 2005]. In the Poyang Lake basin, the frequency of extreme events such as heavy precipitation, floods, and droughts has been shown to increase due to changes in the large-scale circulation [Zhang et al, 2008Shankman et al, 2006] and due to 10.1002/2014JD022975 intensive human activities [Ye et al, 2013] and further result in serious hydrological, ecological, and economic consequences [Zhang et al, 2014a[Zhang et al, , 2014bXie et al, 2013;Deng et al, 2011]. Land-atmosphere interactions in the Poyang Lake region and their possible influence over Southeast China can be inferred from past research using analytical methods on global scales [Trenberth and Guillemot, 1995;Trenberth, 1998Trenberth, , 1999 and for the whole of China [Simmonds et al, 1999;Zhou and Yu, 2005].…”

Section: Journal Of Geophysical Research: Atmospheresmentioning

confidence: 99%

Contribution of transpiration and evaporation to precipitation: An ET‐Tagging study for the Poyang Lake region in Southeast China

2015

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In this study, a regional climate model-based evapotranspiration tagging (ET-Tagging) algorithm has been applied for the first time over Southeast China. Fifteen month simulations (October 2004 to December 2005 were performed to investigate where and to which extent the tagged evapotranspired water from the Poyang Lake region returns to the land surface as precipitation. The contributions of direct evaporation and transpiration were estimated separately using an extended ET-Tagging partitioning algorithm. In 2005, the contribution of moisture originating from the Poyang Lake region to the local annual precipitation in Southeast China reaches a value of up to 1.2%. A maximum contribution of 6% is found near the Poyang Lake region in August. In 2005, 69% of total tagged precipitation originates from direct evaporation of water whereas 31% from transpiration. In winter, precipitation originating from transpired moisture only accounts for around 10% of the total tagged precipitation, but in the summer season the contribution of transpiration increases up to 50%. To explore the source-target relations under consideration of the respective precipitation regime, we introduce source-specific precipitation efficiencies. For the period under investigation, the efficiency for direct evaporation generally dominates, except during the comparatively dry August and in the winter months. Our study shows that the location and the magnitude of tagged precipitation show large spatial and temporal variations. The comprehensive interactions between land surface characteristics and synoptic weather conditions control the annual cycle of the individual contributions to precipitation, emphasizing the important impacts of vegetation cover and land use on the atmospheric hydrological cycle.

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“…However, due to the long-term degradation and depletion of wetland resources, China's wetland areas have been decreasing, and their functions are gradually eroding [7]. Between 1954 and 1997, rampant construction activity significantly reduced the total area of Poyang Lake Wetland from 5160 km 2 to 3859 km 2 , translating into a cumulative reduction of 1301 km 2 [8].…”

Section: Introductionmentioning

confidence: 99%

Determinants of Farmers’ Willingness to Pay and Its Level for Ecological Compensation of Poyang Lake Wetland, China: A Household-Level Survey

2014

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This study examines the determinants of farmers' willingness to pay (WTP) and their payment levels for ecological compensation of the Poyang Lake Wetland in China. We developed a farmer household survey and gathered 292 effective responses. The contingent valuation method (CVM) and Heckman's two-step model were employed for the empirical study. Results show that 46.58% of farmers are willing to pay ecological compensation, with an average price of $64.39/household per year. The influencing factors that significantly influence farmers' WTP include household income, residential location, emphasis on improvement of wetland resources, arable land area, and contracted water area. In addition, household income, residential location, arable land area, and contracted water area are significantly related to their payment levels. The results of this empirical study inform important policy implications and recommendations.

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Topography-based spatial patterns of precipitation extremes in the Poyang Lake basin, China: Changing properties and causes

Cited by 53 publications

References 21 publications

Non‐stationarities in the occurrence rate of heavy precipitation across China and its relationship to climate teleconnection patterns

Non‐stationarities in the occurrence rate of heavy precipitation across China and its relationship to climate teleconnection patterns

Contribution of transpiration and evaporation to precipitation: An ET‐Tagging study for the Poyang Lake region in Southeast China

Determinants of Farmers’ Willingness to Pay and Its Level for Ecological Compensation of Poyang Lake Wetland, China: A Household-Level Survey

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