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Advancing frequency analysis of nonstationary hydrological extremes for reducing flood risk in a changing climate

Partners and participants in the project carried out an excursion in 2019 from Wuhan City to Yichang City (Three Gorges Dam site), China. This is a group photo taken in Yichang City. Photo: Private.

Partners and participants in the project carried out an excursion in 2019 from Wuhan City to Yichang City (Three Gorges Dam site), China. This group photo is taken in Yichang City. Photo: Private.

About the project

Flood frequency analysis (FFA) is one of the cornerstones in the planning, design and management of hydraulic projects for flood control and water usages. The project relates to Norway's strategy shift toward sustainable development and global environmental protection. In the past decades, global climate change and/or large-scale human activities have significantly changed the characteristics of the hydrological extremes, such as floods. This change has made the traditional methods of flood frequency analysis powerless, and hydraulic structures designed based on conventional methods may not provide the assumed level of protection.

Numerous lessons have been learnt about the failure of hydraulic structures related to climate change or changing characteristics of flood series. The research project is built on the current-state-of-the-art of hydrological analysis in a changing environment and on the extensive experience of the applicants in the field.

The primary objective of the project is to improve methodologies of hydrological frequency analysis for non-stationary hydrological extremes, with the ultimate goal to support future water resources management strategies and hydraulic engineering design. The key user groups (stakeholders) are the hydropower industry, river basin management society, and authorities (both national and local), who are responsible for planning, design and operation of hydropower reservoirs, for adaptation to climate change in planning of land use and infrastructure at various levels, and for flood forecasting, prevention, protection, floodplain mapping and mitigation, etc.

Objective

In this project we aim to expand current knowledge of non-stationary hydrological frequency analysis by incorporating original thinking and scientific renewal. A goal is also to develop an integrated frequency analysis approach incorporating nonstationarity and uncertainty for hydrological design and sustainable water resources management. The secondary objectives are:

  1. Assessment of the concepts and inference procedures involved in nonstationarity analysis of hydrological extremes and their relationship with stationary concepts.
  2. Development and evaluation of frequency analysis approaches incorporating nonstationarity and uncertainty, and emphasis will be paid on the role of uncertainty in stationary and nonstationary models.
  3. Evaluate the practical use of the resulting approach and quantitatively highlight the difference and operational difficulties of moving from stationary to nonstationary frequency analyses facing with real-world applications.

Outcomes

During the project period 2018 – 2019, various activities have been implemented effectively, which include visiting Norwegian and Chinese hydropower stations, construction of database from selected world large rivers, evaluation of methods for detection of the non-stationarity of hydrological extremes, discussion of the research results with the stakeholders in Norway and in China, attending and presenting research results at international conferences, writing and publication of high quality scientific articles in international top journals, etc. Above activities have resulted in 9 publications in international journal, 4 talks at international conferences, 3 invited lectures at regional training programs and workshops.

More results from the project listed here ...

A regional training course with trainees from southern African countries is currently under planning with the support and help of the University of Malaw, and will be organised at University of Malawi in spring 2022. The training course will provide an opportunity for the young hydrologists in the region to learn:

  1. how to detect the nonstationarity of hydrological time series,
  2. how to do frequency analysis of stationary and nonstationary hydrological processes. 

Financing

Full name of the project is 'Advancing frequency analysis of nonstationary hydrological extremes for reducing flood risk in a changing climate'.

The project is financed through The Research Council of Norway (NFR) in the FRIPRO funding scheme for independent projects programme with NFR-project number 274310.

The project started in 2018, and have an ending in 2023.

Cooperation

The project is a cooperation with several universities from across five continents and several Norwegian research institutions. The project partners are these:

Publications

  • Sheng, Sheng; Chen, Hua; Lin, Kangling; Zhou, Yanlai; Wang, Jinxing & Chen, Jie [Show all 9 contributors for this article] (2023). Enhancing runoff simulation precision in the critical zone through spatiotemporal interpolation of areal rainfall with matrix decomposition. Hydrological Processes. ISSN 0885-6087. 37(11). doi: 10.1002/hyp.15039. Full text in Research Archive
  • Huo, Ran; Chen, Hua; Li, Lu; Xu, Chong-Yu; Li, Jingjing & Hong, Si [Show all 8 contributors for this article] (2023). Flood variability in the upper Yangtze River over the last millennium—Insights from a comparison of climate-hydrological model simulated and reconstruction. Science China. Earth Sciences. ISSN 1674-7313. 66(3), p. 547–567. doi: 10.1007/s11430-022-1008-5.
  • Zhou, Yanlai; Ruan, Gusong; Xu, Chong-Yu; Xiong, Lihua; Jain, Sharad K. & Li, Lu (2022). Detection and Attribution of Norwegian Annual Precipitation Variability Related to Teleconnections. Earth and Space Science. ISSN 2333-5084. 9(3). doi: 10.1029/2021EA001857. Full text in Research Archive
  • Zhou, Yanlai; Cui, Zhen; Lin, Kangling; Sheng, Sheng; Chen, Hua & Guo, Shenglian [Show all 7 contributors for this article] (2022). Short-term flood probability density forecasting using a conceptual hydrological model with machine learning techniques . Journal of Hydrology. ISSN 0022-1694. 604. doi: 10.1016/j.jhydrol.2021.127255. Full text in Research Archive
  • Zhou, Yanlai; Guo, Shenglian; Xu, Chong-Yu; Xiong, Lihua; Chen, Hua & Ngongondo, Cosmo S Abdul [Show all 7 contributors for this article] (2022). Probabilistic interval estimation of design floods under non-stationary conditions by an integrated approach. Hydrology Research. ISSN 1998-9563. 53(2), p. 259–278. doi: 10.2166/nh.2021.007. Full text in Research Archive
  • Song, Jinbo; Zhang, Qiang; Wu, Wenhuan; Singh, VP; Shen, Zexi & Wang, Gang [Show all 7 contributors for this article] (2022). Amplifying Flood Risk Across the Lower Yellow River Basin, China, Under Shared Socioeconomic Pathways. Frontiers in Earth Science. ISSN 2296-6463. 10. doi: 10.3389/feart.2022.900866. Full text in Research Archive
  • Zhu, Di; Chen, Hua; Zhou, Yanlai; Xu, Xinfa; Guo, Shenglian & chang, fi-john [Show all 7 contributors for this article] (2022). Exploring a multi-objective cluster-decomposition framework for optimizing flood control operation rules of cascade reservoirs in a river basin. Journal of Hydrology. ISSN 0022-1694. 614. doi: 10.1016/j.jhydrol.2022.128602. Full text in Research Archive
  • Zhou, Yanlai; Zhu, Di; Chen, Hua; Guo, Shenglian; Xu, Chong-Yu & Chang, Fi-John (2022). Deep learning–based neural networks for day-ahead power load probability density forecasting. Environmental Science and Pollution Research. ISSN 0944-1344. 30, p. 17741–17764. doi: 10.1007/s11356-022-23305-0. Full text in Research Archive
  • Li, Jingjing; Chen, Hua; Xu, Chong-Yu; Li, Lu; Zhao, haoyuan & Huo, Ran [Show all 7 contributors for this article] (2022). Joint Effects of the DEM Resolution and the Computational Cell Size on the Routing Methods in Hydrological Modelling. Water. ISSN 2073-4441. 14(5). doi: 10.3390/w14050797. Full text in Research Archive
  • Huo, Ran; Li, Lu; Engeland, Kolbjørn; Xu, Chong-Yu; Chen, Hua & Paasche, Øyvind [Show all 7 contributors for this article] (2022). Changing flood dynamics in Norway since the last millennium and to the end of the 21st century. Journal of Hydrology. ISSN 0022-1694. 613. doi: 10.1016/j.jhydrol.2022.128331. Full text in Research Archive
  • Qi, Wen-Yan; Chen, Jie; Li, Lu; Xu, Chong-Yu; Li, Jingjing & Xiang, Yiheng [Show all 7 contributors for this article] (2022). Regionalization of catchment hydrological model parameters for global water resources simulations. Hydrology Research. ISSN 1998-9563. 53(3), p. 441–466. doi: 10.2166/nh.2022.118. Full text in Research Archive
  • Guo, Shuhui; Xiong, Lihua; Chen, Jie; Guo, Shenglian; Xia, Jun & Zeng, Ling [Show all 7 contributors for this article] (2022). Nonstationary regional flood frequency analysis based on the Bayesian method. Water resources management. ISSN 0920-4741. 37, p. 659–681. doi: 10.1007/s11269-022-03394-9. Full text in Research Archive
  • Qi, Wenyan; Chen, Jie; Li, Lu; Xu, Chong-Yu; Xiang, Yi-Heng & Zhang, Shao-Bo [Show all 7 contributors for this article] (2021). Impact of the number of donor catchments and the efficiency threshold on regionalization performance of hydrological models. Journal of Hydrology. ISSN 0022-1694. 601. doi: 10.1016/j.jhydrol.2021.126680.
  • Yan, Lei; Xiong, Lihua; Jiang, Cong; Zhang, Mengjie; Wang, Dong & Xu, Chong-Yu (2021). Updating intensity–duration–frequency curves for urban infrastructure design under a changing environment. WIREs Water. ISSN 2049-1948. 8(3). doi: 10.1002/wat2.1519. Full text in Research Archive
  • Ma, Qiumei; Xiong, Lihua; Xu, Chong-Yu; Li, Rongrong; Ji, Changming & Zhang, Yanke (2021). Flood Wave Superposition Analysis Using Quantitative Matching Patterns of Peak Magnitude and Timing in Response to Climate Change. Water resources management. ISSN 0920-4741. 35, p. 2409–2432. doi: 10.1007/s11269-021-02837-z.
  • Jiang, Cong; Xiong, Lihua; Xu, Chong-Yu & Yan, Lei (2021). A river network-based hierarchical model for deriving flood frequency distributions and its application to the Upper Yangtze basin. Water Resources Research. ISSN 0043-1397. 57(8). doi: 10.1029/2020WR029374. Full text in Research Archive
  • Xu, Chong-Yu (2021). Issues influencing accuracy of hydrological modeling in a changing environment. Water Science and Engineering. ISSN 1674-2370. 14(2), p. 167–170. doi: 10.1016/j.wse.2021.06.005. Full text in Research Archive
  • Yan, Lei; Xiong, Lihua; Ruan, Gusong; Zhang, Mengjie & Xu, Chong-Yu (2021). Design flood estimation with varying record lengths in Norway under stationarity and nonstationarity scenarios. Hydrology Research. ISSN 1998-9563. 52(6), p. 1596–1614. doi: 10.2166/NH.2021.026. Full text in Research Archive
  • Qi, Wenyan; Chen, Jie; Xu, Chong-Yu & Wan, Yongjing (2021). Finding the Optimal Multimodel Averaging Method for Global Hydrological Simulations. Remote Sensing. ISSN 2072-4292. 13(13). doi: 10.3390/rs13132574. Full text in Research Archive
  • Shi, Xinyan; Chen, Jie; Gu, Lei; Xu, Chong-Yu; Chen, Hua & Zhang, Liping (2021). Impacts and socioeconomic exposures of global extreme precipitation events in 1.5 and 2.0 °C warmer climates . Science of the Total Environment. ISSN 0048-9697. 766. doi: 10.1016/j.scitotenv.2020.142665.
  • Huo, Ran; Li, Lu; Chen, Hua; Xu, Chong-Yu; Chen, Jie & Guo, Shenglian (2020). Extreme Precipitation Changes in Europe from the Last Millennium to the End of the Twenty-First Century. Journal of Climate. ISSN 0894-8755. 34, p. 567–588. doi: 10.1175/JCLI-D-19-0879.1. Full text in Research Archive
  • Yang, Wushuang; Chen, Hua; Xu, Chong-Yu; Huo, Ran; Chen, Jie & Guo, Shenglian (2020). Temporal and spatial transferabilities of hydrological models under different climates and underlying surface conditions. Journal of Hydrology. ISSN 0022-1694. 591. doi: 10.1016/j.jhydrol.2020.125276. Full text in Research Archive
  • Yang, Xue; Magnusson, Jan; Huang, Shaochun; Beldring, Stein & Xu, Chong-Yu (2020). Dependence of regionalization methods on the complexity of hydrological models in multiple climatic regions. Journal of Hydrology. ISSN 0022-1694. 582. doi: 10.1016/j.jhydrol.2019.124357. Full text in Research Archive
  • Lan, Tian; Lin, Kairong; Xu, Chong-Yu; Liu, Zhiyong & Cai, Huayang (2020). A framework for seasonal variations of hydrological model parameters: impact on model results and response to dynamic catchment characteristics. Hydrology and Earth System Sciences (HESS). ISSN 1027-5606. 24, p. 5859–5874. doi: 10.5194/hess-24-5859-2020. Full text in Research Archive
  • Li, Zhenya; Yang, Tao; Xu, Chong-Yu; Shi, Pengfei; Yong, Bin & Huang, Ching-Sheng [Show all 7 contributors for this article] (2020). Evaluating the area and position accuracy of surface water paths obtained by flow direction algorithms. Journal of Hydrology. ISSN 0022-1694. 583. doi: 10.1016/j.jhydrol.2020.124619. Full text in Research Archive
  • Lin, Kangling; Sheng, Sheng; Zhou, Yanlai; Liu, Feng; Li, Zhiyu & Chen, Hua [Show all 9 contributors for this article] (2020). The exploration of a Temporal Convolutional Network combined with Encoder-Decoder framework for runoff forecasting. Hydrology Research. ISSN 1998-9563. 51(5), p. 1136–1149. doi: 10.2166/nh.2020.100.
  • Zhou, Yanlai; Chang, Fi‐John; Chang, Li-Chiu; Lee, Wei-De; Huang, Angela & Xu, Chong-Yu [Show all 7 contributors for this article] (2020). An advanced complementary scheme of floating photovoltaic and hydropower generation flourishing water-food-energy nexus synergies. Applied Energy. ISSN 0306-2619. 275. doi: 10.1016/j.apenergy.2020.115389. Full text in Research Archive
  • Reynolds, J.E.; Halldin, Sven; Seibert, Jan; Xu, Chong-Yu & Grabs, Thomas (2020). Flood prediction using parameters calibrated on limited discharge data and uncertain rainfall scenarios. Hydrological Sciences Journal. ISSN 0262-6667. 65(9), p. 1512–1524. doi: 10.1080/02626667.2020.1747619. Full text in Research Archive
  • Zhou, Yanlai; Guo, Shenglian; Xu, Chong-Yu; Chang, Fi‐John; Chen, Hua & Liu, Pan [Show all 7 contributors for this article] (2020). Stimulate hydropower output of mega cascade reservoirs using an improved Kidney Algorithm. Journal of Cleaner Production. ISSN 0959-6526. 244. doi: 10.1016/j.jclepro.2019.118613. Full text in Research Archive
  • Yang, Han; Xiong, Lihua; Xiong, Bin; Zhang, Quan & Xu, Chong-Yu (2020). Separating runoff change by the improved Budyko complementary relationship considering effects of both climate change and human activities on basin characteristics. Journal of Hydrology. ISSN 0022-1694. 591. doi: 10.1016/j.jhydrol.2020.125330. Full text in Research Archive
  • Lan, Tian; Lin, Kairong; Xu, Chong-Yu; Tan, Xuezhi & Chen, Xiaohong (2020). Dynamics of hydrological-model parameters: mechanisms, problems and solutions. Hydrology and Earth System Sciences (HESS). ISSN 1027-5606. 24, p. 1347–1366. doi: 10.5194/hess-24-1347-2020. Full text in Research Archive
  • Wang, Huimin; Chen, Jie; Xu, Chong-Yu; Zhang, J.K. & Chen, Hua (2020). A framework to quantify the uncertainty contribution of GCMs over multiple sources in hydrological impacts of climate change. Earth's Future. ISSN 2328-4277. 8. doi: 10.1029/2020EF001602. Full text in Research Archive
  • Chen, Shilei; Xiong, Lihua; Ma, Qiumei; Kim, Jong-Suk; Chen, Jie & Xu, Chong-Yu (2020). Improving daily spatial precipitation estimates by merging gauge observation with multiple satellite-based precipitation products based on the geographically weighted ridge regression method. Journal of Hydrology. ISSN 0022-1694. 589. doi: 10.1016/j.jhydrol.2020.125156. Full text in Research Archive
  • Zhou, Yanlai; Guo, Shenglian; Xu, Chong-Yu; Chang, Fi‐John & Yin, Jiabo (2020). Improving the Reliability of Probabilistic Multi‐Step‐Ahead Flood Forecasting by Fusing Unscented Kalman Filter with Recurrent Neural Network. Water. ISSN 2073-4441. 12(2). doi: 10.3390/w12020578. Full text in Research Archive
  • Li, Runjie; Du, Jinkang; Bian, Guodong; Wang, Yuefeng; Chen, Changchun & Zhang, Xueliang [Show all 12 contributors for this article] (2020). An Integrated Modelling Approach for Flood Simulation in the Urbanized Qinhuai River Basin, China. Water resources management. ISSN 0920-4741. 34, p. 3967–3984. doi: 10.1007/s11269-020-02614-4. Full text in Research Archive
  • Bian, G.D.; Du, Jinkang; Song, Mingming; Zhang, Xueliang; Zhang, Xingqi & Li, Runjie [Show all 9 contributors for this article] (2020). Detection and attribution of flood responses to precipitation change and urbanization: a case study in Qinhuai River Basin, Southeast China. Hydrology Research. ISSN 1998-9563. 51(2), p. 351–365. doi: 10.2166/nh.2020.063. Full text in Research Archive
  • Ngongondo, Cosmo; Zhou, Yanlai & Xu, Chong-Yu (2020). Multivariate framework for the assessment of key forcing to Lake Malawi levels variations in non-stationary frequency analysis. Environmental Monitoring & Assessment. ISSN 0167-6369. 192. doi: 10.1007/s10661-020-08519-4. Full text in Research Archive
  • Xiong, Bin; Xiong, Lihua; Guo, SL; Xu, Chong-Yu; Xia, Jun & Zhong, Yixuan [Show all 7 contributors for this article] (2020). Nonstationary Frequency Analysis of Censored Data: A Case Study of the Floods in the Yangtze River From 1470 to 2017. Water Resources Research. ISSN 0043-1397. 56(8). doi: 10.1029/2020WR027112. Full text in Research Archive
  • Yan, Lei; Xiong, Lihua; Luan, Qinghua; Jiang, Cong; Yu, Kunxia & Xu, Chong-Yu (2020). On the Applicability of the Expected Waiting Time Method in Nonstationary Flood Design. Water resources management. ISSN 0920-4741. 34, p. 2585–2601. doi: 10.1007/s11269-020-02581-w. Full text in Research Archive
  • Lin, Kairong; Chen, Haiyan; Xu, Chong-Yu; Yan, Ping; Lan, Tian & Liu, Zhiyong [Show all 7 contributors for this article] (2020). Assessment of flash flood risk based on improved analytic hierarchy process method and integrated maximum likelihood clustering algorithm. Journal of Hydrology. ISSN 0022-1694. 584. doi: 10.1016/j.jhydrol.2020.124696. Full text in Research Archive
  • Lan, Tian; Zhang, Hongbo; Xu, Chong-Yu; Singh, Vijay P. & Lin, Kairong (2020). Detection and attribution of abrupt shift in minor periods in human-impacted streamflow. Journal of Hydrology. ISSN 0022-1694. 584. doi: 10.1016/j.jhydrol.2020.124637. Full text in Research Archive
  • Jiang, Shanhu; Wang, Menghao; Ren, Liliang; Xu, Chong-Yu; Yuan, Fei & Liu, Yi [Show all 8 contributors for this article] (2019). A framework for quantifying the impacts of climate change and human activities on hydrological drought in a semiarid basin of Northern China. Hydrological Processes. ISSN 0885-6087. 33(7), p. 1075–1088. doi: 10.1002/hyp.13386. Full text in Research Archive
  • Chen, Xiaohong; Ye, Changqing; Zhang, Jiaming; Xu, Chong-Yu; Zhang, Lijuan & Tang, Yihan (2019). Selection of an optimal distribution curve for non-stationary flood series. Atmosphere. ISSN 2073-4433. 10(1). doi: 10.3390/atmos10010031. Full text in Research Archive
  • Chen, Ying; Xu, Chong-Yu; Chen, Xingwei; Xu, Youpeng; Yin, Yixing & Gao, Lu [Show all 7 contributors for this article] (2019). Uncertainty in simulation of land-use change impacts on catchment runoff with multi-timescales based on the comparison of the HSPF and SWAT models. Journal of Hydrology. ISSN 0022-1694. 573, p. 486–500. doi: 10.1016/j.jhydrol.2019.03.091.
  • Wang, Hui-Min; Chen, Jie; Xu, Chong-Yu; Chen, Hua; Guo, Shenglian & Xie, Ping [Show all 7 contributors for this article] (2019). Does the weighting of climate simulations result in a better quantification of hydrological impacts? Hydrology and Earth System Sciences (HESS). ISSN 1027-5606. 23(10), p. 4033–4050. doi: 10.5194/hess-23-4033-2019. Full text in Research Archive
  • Hu, Chen; Xia, Jun; She, Dunxian; Xu, Chong-Yu; Zhang, Liping & Song, Zhihong [Show all 7 contributors for this article] (2019). A modified regional L-moment method for regional extreme precipitation frequency analysis in the Songliao River Basin of China. Atmospheric research. ISSN 0169-8095. 230. doi: 10.1016/j.atmosres.2019.104629. Full text in Research Archive
  • Xiong, Bin; Xiong, Lihua; Xia, Jun; Xu, Chong-Yu; Jiang, Cong & Du, Tao (2019). Assessing the impacts of reservoirs on downstream flood frequency by coupling the effect of scheduling-related multivariate rainfall with an indicator of reservoir effects. Hydrology and Earth System Sciences (HESS). ISSN 1027-5606. 23(11), p. 4453–4470. doi: 10.5194/hess-23-4453-2019. Full text in Research Archive
  • Li, Xiang-Quan; Chen, Jie; Xu, Chong-Yu; Li, Lu & Chen, Hua (2019). Performance of post-processed methods in hydrological predictions evaluated by deterministic and probabilistic criteria. Water resources management. ISSN 0920-4741. 33(9), p. 3289–3302. doi: 10.1007/s11269-019-02302-y. Full text in Research Archive
  • Li, Wei; Chen, Jie; Li, Lu; Chen, Hua; Liu, Bingyi & Xu, Chong-Yu [Show all 7 contributors for this article] (2019). Evaluation and bias correction of S2S precipitation for hydrological extremes. Journal of Hydrometeorology. ISSN 1525-755X. 20(9), p. 1887–1906. doi: 10.1175/JHM-D-19-0042.1.
  • Zhou, Yanlai; Chang, Li-Chiu; Uen, Tin-Shuan; Guo, Shenglian; Xu, Chong-Yu & Chang, Fi-John (2019). Prospect for small-hydropower installation settled upon optimal water allocation: An action to stimulate synergies of water-food-energy nexus. Applied Energy. ISSN 0306-2619. 238, p. 668–682. doi: 10.1016/j.apenergy.2019.01.069.
  • Yan, Lei; Xiong, Lihua; Ruan, Gusong; Xu, Chong-Yu; Yan, Pengtao & Liu, Pan (2019). Reducing uncertainty of design floods of two-component mixture distributions by utilizing flood timescale to classify flood types in seasonally snow covered region. Journal of Hydrology. ISSN 0022-1694. 574, p. 588–608. doi: 10.1016/j.jhydrol.2019.04.056. Full text in Research Archive
  • Xiong, Feng; Guo, Shenglian; Liu, Pan; Xu, Chong-Yu; Zhong, Yixuan & Yin, Jiabo [Show all 7 contributors for this article] (2019). A general framework of design flood estimation for cascade reservoirs in operation period. Journal of Hydrology. ISSN 0022-1694. 577. doi: 10.1016/j.jhydrol.2019.124003. Full text in Research Archive
  • Reynolds, J.E.; Halldin, S.; Seibert, J.; Xu, Chong-Yu & Grabs, T. (2019). Robustness of flood-model calibration using single and multiple events . Hydrological Sciences Journal. ISSN 0262-6667. doi: 10.1080/02626667.2019.1609682. Full text in Research Archive
  • Jiang, C.; Xiong, L.H.; Yan, L.; Dong, J.F. & Xu, Chong-Yu (2019). Multivariate hydrologic design methods under nonstationary conditions and application to engineering practice . Hydrology and Earth System Sciences (HESS). ISSN 1027-5606. 23(3), p. 1683–1704. doi: 10.5194/hess-23-1683-2019. Full text in Research Archive
  • Zhang, Qiang; Shen, Zexi; Xu, Chong-Yu; Sun, Peng; Hu, Pan & He, Chunyang (2019). A new statistical downscaling approach for global evaluation of the CMIP5 precipitation outputs: Model development and application. Science of the Total Environment. ISSN 0048-9697. 690, p. 1048–1067. doi: 10.1016/j.scitotenv.2019.06.310. Full text in Research Archive
  • Zhang, X.Q.; Liu, P.; Xu, Chong-Yu; Gong, Y.; Cheng, L. & He, S.K. (2019). Real-time reservoir flood control operation for cascade reservoirs using a two-stage flood risk analysis method . Journal of Hydrology. ISSN 0022-1694. 577. doi: 10.1016/j.jhydrol.2019.123954.
  • Yang, Han; Xiong, Lihua; Ma, Qiumei; Xia, Jun; Chen, Jie & Xu, Chong-Yu (2019). Utilizing satellite surface soil moisture data in calibrating a distributed hydrological model applied in humid regions through a multi-objective Bayesian hierarchical framework. Remote Sensing. ISSN 2072-4292. 11(11). doi: 10.3390/rs11111335. Full text in Research Archive
  • Chen, Guiya; Zhao, Xiaofeng; Zhou, Yanlai; Guo, Shenglian; Xu, Chong-Yu & Chang, Fi-John (2019). Emergency Disposal Solution for Control of a Giant Landslide and Dammed Lake in Yangtze River, China . Water. ISSN 2073-4441. 11(9). doi: 10.3390/w11091939. Full text in Research Archive
  • Huang, Qingzhong; Zhang, Qiang; Xu, Chong-Yu; Li, Qin & Sun, Peng (2019). Terrestrialwater storage in China: Spatiotemporal pattern and driving factors. Sustainability. ISSN 2071-1050. 11(23). doi: 10.3390/su11236646. Full text in Research Archive
  • Liu, Jiajia; Zhou, Zuhao; Yan, Ziqi; Gong, Jiaguo; Jia, Yangwen & Xu, Chong-Yu [Show all 7 contributors for this article] (2019). A new approach to separating the impacts of climate change and multiple human activities on water cycle processes based on a distributed hydrological model. Journal of Hydrology. ISSN 0022-1694. 578. doi: 10.1016/j.jhydrol.2019.124096.
  • Xue, Yang; Magnusson, Jan & Xu, Chong-Yu (2019). Transferability of regionalization methods under changing climate. Journal of Hydrology. ISSN 0022-1694. 568, p. 67–81. doi: 10.1016/j.jhydrol.2018.10.030.
  • Ma, Qiumei; Xiong, Lihua; Xia, Jun; Xiong, Bin; Yang, Han & Xu, Chong-Yu (2019). A censored shifted mixture distribution mapping method to correct the bias of daily IMERG satellite precipitation estimates. Remote Sensing. ISSN 2072-4292. 11(11). doi: 10.3390/rs11111345. Full text in Research Archive
  • Wang, Jialing; Chen, Hua; Xu, Chong-Yu; Zeng, Qiang; Wang, Qingjing & Kim, Jong-Suk [Show all 8 contributors for this article] (2018). Tracking the error sources of spatiotemporal differences in TRMM accuracy using error decomposition method. Hydrology Research. ISSN 1998-9563. 49(6), p. 1960–1976. doi: 10.2166/nh.2018.191.

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  • Li, Jingjing; Chen, Hua; Xu, Chong-Yu; Li, Lu; Zhao, haoyuan & Huo, Ran [Show all 7 contributors for this article] (2022). Correction: Li et al. Joint Effects of the DEM Resolution and the Computational Cell Size on the Routing Methods in Hydrological Modelling. Water 2022, 14, 797. Water. ISSN 2073-4441. 14(11). doi: 10.3390/w14111714. Full text in Research Archive
  • Wang, Weiguang; Chen, Lu & Xu, Chong-Yu (2021). Editorial: Hydrological Modeling in Water Cycle Processes. Water. ISSN 2073-4441. 13(14). doi: 10.3390/w13141882. Full text in Research Archive
  • Qi, Wenyan; Chen, Jie; Li, Lu; Xu, Chong-Yu; Xiang, Yiheng & Zhang, Shaobo [Show all 7 contributors for this article] (2021). Impact of the number of donor catchments and the efficiency threshold on regionalization performance of hydrological models.
  • Wan, Yongjing; Chen, Jie; Xie, Ping; Xu, Chong-Yu & Li, Daiyuan (2021). Evaluation of climate model simulations in representing the precipitation non-stationarity by considering observational uncertainties.
  • Zhou, Yanlai; Xu, Chong-Yu; Ngongondo, Cosmo & Li, Lu (2021). Detection, attribution and frequency analysis of non-stationary flood peaks in 32 big rivers worldwide.
  • Li, Hong; Xu, Chong-Yu; Sæthun, Nils Roar; Braskerud, Bent Christen & Volden, Erland Per (2019). Identification of floodways by four approaches.

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Published Feb. 27, 2020 2:35 PM - Last modified Feb. 1, 2024 12:53 PM

Contact

Chong-Yu Xu, Professor and Project leader

Int. Advisory Board:

  • Vijay P Singh,Texas A&M University, USA
  • Nils Roar Sælthun, UiO
  • Sharad K. Jain, National Institute of Hydrology, India
  • Shenglian Guo, Wuhan University
  • Stein Beldring, NVE

Visiting researchers