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Akademický článek

Quantifying the flood coincidence likelihood between Huai River and its tributaries considering the nonstationarity

Autor: Zhilang Zhang, Pengcheng Xu, Dong Wang, Huanyu Yang, Vijay P. Singh, Xiaolei Fu, Hongyuan Fang, Gengxi Zhang, Saiyan Liu, Jianchun Qiu

Publikováno v: Journal of Hydrology: Regional Studies, Vol 54, Iss , Pp 101887- (2024)

Study region: The Huai River Basin, China. Study focus: This study chooses the daily flow data of Huai River and its tributaries, Shi River and Hong River during 1959–2016. The co-occurrence of floods in different tributaries of the catchment is as

Externí odkaz: https://doaj.org/article/ec0803eca7bb4fc49c872c263d6956df

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Akademický článek

The asymmetric impact of global warming on US drought types and distributions in a large ensemble of 97 hydro-climatic simulations

Autor: Shengzhi Huang, Guoyong Leng, Qiang Huang, Yangyang Xie, Saiyan Liu, Erhao Meng, Pei Li

Publikováno v: Scientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)

Abstract Projection of future drought is often involved large uncertainties from climate models, emission scenarios as well as drought definitions. In this study, we investigate changes in future droughts in the conterminous United States based on 97

Externí odkaz: https://doaj.org/article/092a186d6d514aeca603176a609f2652

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Evaluation of Minimum and Suitable Ecological Flows of an Inland Basin in China Considering Hydrological Variation

Autor: Saiyan Liu, Qin Zhang, Yangyang Xie, Pengcheng Xu, Huihua Du

Publikováno v: Water
Volume 15
Issue 4
Pages: 649

Ecological flows in rivers are critical to the health and stability of river ecosystems, especially for inland drylands where ecological conditions are rapidly deteriorating. Climate change and human activities lead to hydrological variation, which i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14fc2b3e5ce820d215fa1f5ede5289b0

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Global autocorrelation test based on the Monte Carlo method and impacts of eliminating nonstationary components on the global autocorrelation test

Autor: Yangyang Xie, Hongyuan Fang, Jingcai Wang, Saiyan Liu

Publikováno v: Stochastic Environmental Research and Risk Assessment. 34:1645-1658

Autocorrelation and non-stationarity are always concerned in analysis of meteorological and hydrological time series. Current commonly used methods, such as the Box-Pierce (BP) test and Ljung-Box (LB) test, always preset the maximum order for the aut

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3e34a0055974dacf36e6390802084b1b
https://doi.org/10.1007/s00477-020-01854-5

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Impacts of Inflow Variations on the Long Term Operation of a Multi-Hydropower-Reservoir System and a Strategy for Determining the Adaptable Operation Rule

Autor: Zhen Li, Yangyang Xie, Jingcai Wang, Qiang Huang, Shengzhi Huang, Hongyuan Fang, Saiyan Liu

Publikováno v: Water Resources Management. 34:1649-1671

Obvious inflow variations resulting from changing environments bring big challenges to the operations of hydropower reservoirs. This study reveals the impacts of average annual inflow volume (AAIV) variations on the long term operation of a multi-hyd

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e138b73992abdb259f6441283c7c4509
https://doi.org/10.1007/s11269-020-02515-6

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Three-Parameter Regulation Rules for the Long-Term Optimal Scheduling of Multiyear Regulating Storage Reservoirs

Autor: Yangyang Xie, Saiyan Liu, Hongyuan Fang, Maohua Ding, Jingcai Wang

Publikováno v: Water, Vol 13, Iss 3593, p 3593 (2021)
Water; Volume 13; Issue 24; Pages: 3593

The perennial storage water level (PL), the water level at the end of wet season (WL), and the water level at the end of dry season (DL) are three critical water levels for multiyear regulating storage (MRS) reservoirs. Nevertheless, the three critic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::767876570ae2501bd929b842b4eec00d
https://www.mdpi.com/2073-4441/13/24/3593

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Akademický článek

Erratum: Xie, Y.Y.; et al. GRACE-Based Terrestrial Water Storage in Northwest China: Changes and Causes. Remote Sens. 2018, 10, 1163

Autor: Yangyang Xie, Shengzhi Huang, Saiyan Liu, Guoyong Leng, Jian Peng, Qiang Huang, Pei Li

Publikováno v: Remote Sensing, Vol 10, Iss 8, p 1301 (2018)

The authors wish to make a correction to their paper [...]

Externí odkaz: https://doaj.org/article/62e5fbf9a3764b5b93890a5471d96ebb

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Akademický článek

GRACE-Based Terrestrial Water Storage in Northwest China: Changes and Causes

Autor: Yangyang Xie, Shengzhi Huang, Saiyan Liu, Guoyong Leng, Jian Peng, Qiang Huang, Pei Li

Publikováno v: Remote Sensing, Vol 10, Iss 7, p 1163 (2018)

Monitoring variations in terrestrial water storage (TWS) is of great significance for the management of water resources. However, it remains a challenge to continuously monitor TWS variations using in situ observations and hydrological models because

Externí odkaz: https://doaj.org/article/96fc91cab4004c509ea2ff57c0e937e5

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Trend Test for Hydrological and Climatic Time Series Considering the Interaction of Trend and Autocorrelations

Autor: Saiyan Liu, Yangyang Xie, Hongyuan Fang, Huihua Du, Pengcheng Xu

Publikováno v: Water; Volume 14; Issue 19; Pages: 3006

The Mann–Kendall (MK) test was widely used to detect significant trends in hydrologic and climate time series (HCTS), but it cannot deal with significant autocorrelations in HCTS. To solve this problem, the modified MK (MMK) test and the over-white

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ada93080fa37eeabfb003fa507dc27f5
https://doi.org/10.3390/w14193006

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