Articles | Volume 379
https://doi.org/10.5194/piahs-379-463-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-379-463-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Pre-conference publication
| 
05 Jun 2018
Pre-conference publication |
| 05 Jun 2018
| 05 Jun 2018
Preface: Innovative Water Resources Management in a Changing Environment – Understanding and Balancing Interactions between Humankind and Nature
Zongxue Xu
CORRESPONDING AUTHOR
College of Water Sciences, Beijing Normal University, Beijing, China
Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing, China
Dingzhi Peng
College of Water Sciences, Beijing Normal University, Beijing, China
Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing, China
Wenchao Sun
College of Water Sciences, Beijing Normal University, Beijing, China
Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing, China
Bo Pang
College of Water Sciences, Beijing Normal University, Beijing, China
Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing, China
Depeng Zuo
College of Water Sciences, Beijing Normal University, Beijing, China
Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing, China
Andreas Schumann
Institute for Hydrology, Water Management and Environmental Technology, Ruhr-University Bochum, 44780 Bochum, Germany
Yangbo Chen
Department of Water Resources and Environment, Sun Yat-Sen University, Guangzhou 510275, China
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Proc. IAHS, 379, 105–112, https://doi.org/10.5194/piahs-379-105-2018, https://doi.org/10.5194/piahs-379-105-2018, 2018
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To further protect the ecology of the study area, remote sensing image technology is used to analyze the temporal and spatial distribution characteristics of vegetation in the Yarlung Zangbo River Basin by splicing the remote sensing image of a time series (from February 2000 to December 2016). It can be found that vegetation coverage is better in low elevation areas,vegetation change shows a weak sustainability and the vegetation growth is more affected by the temperature than the precipitation.
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Drought is a natural and recurring feature of climate; occurring in virtually all climatic regimes. Wei River is of great importance in social and economic in China. The temporal and spatial variations of drought in the Wei River basin were investigated by calculating the drought indexes. Through analysis of the historical precipitation and temperature data, it was found that precipitation had a greater contribution to creating agricultural drought conditions than temperature.
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The possibility of using a short period of streamflow data (less than one year) to calibrate a physically based distributed hydrological model is evaluated. Contrary to the common understanding of using data of several years, it is shown that only using data covering several months could calibrate the model effectively, which indicates that this approach is valuable for solving the calibration problem of such models in data-sparse basins.
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China is undergoing rapid urbanization during the past decades. For example, the proportion of urban population in Beijing has increased from 57.6 % in 1980 to 86.3 % in 2013. Rapid urbanization has an adverse impact on the urban rainfall-runoff processes, which may result in the increase of urban flooding risk. In this study, the major purpose is to investigate the impact of land use/cover changes on hydrological processes and the flooding risk in Beijing.
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Proc. IAHS, 369, 97–102, https://doi.org/10.5194/piahs-369-97-2015, https://doi.org/10.5194/piahs-369-97-2015, 2015
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Three hourly assimilated precipitation series with 0.1 deg. are used to analyze the features and trends of extreme precipitation in Beijing, China. The results show that: (1) the local climate and topography are two main factors influencing the spatial distributions of precipitation; (2) areas with greater precipitation threshold may have shorter precipitation days; (3) extreme precipitation amount (48% of precipitation) concentrated on urban areas and mountain area within only 5 to 7 days.
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Spatiotemporal characteristics of extreme precipitation and temperature in Yunnan Province, China, were analyzed by using observed daily data at 28 meteorological stations from 1959-2013 in this study.Both maximum and minimum temperature showed significant increasing tendency while there was not obvious changes for precipitation.It was noted that extreme precipitation and temperature events occurred more frequently in central region where the risk of extreme climatic events was greater.
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This study examines changes in water yield by determining turning points in the direction of yield changes and highlights that regime shifts in historical water yield occurred in the Upper Brahmaputra River basin, both the climate and cryosphere affect the magnitude of water yield increases, climate determined the declining trends in water yield, and meltwater has the potential to alleviate the water shortage. A repository for all source files is made available.
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The retreat of glaciers over the QTP is intensifying. To understand changes in glaciers, the two inventories (RGI 4.0 and GIC-Ⅱ) provide potential, but glacier volumes are not convincing. The study recalculated and compared glacier volumes in RGI 4.0 and GIC-Ⅱ for the QTP. The results indicate the slope-dependent algorithm performs better than area-volume-based equations. The northern QTP has a larger degree of fragmentation. An obvious offset of glacier volumes in different aspects is observed.
Ji Li, Daoxian Yuan, Jiao Liu, Yongjun Jiang, Yangbo Chen, Kuo Lin Hsu, and Soroosh Sorooshian
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There are no long-term reasonable rainfall data to build a hydrological model in karst river basins to a large extent. In this paper, the PERSIANN-CCS QPEs are employed to estimate the precipitation data as an attempt in the Liujiang karst river basin, 58 270 km2, China. An improved method is proposed to revise the results of the PERSIANN-CCS QPEs. The post-processed PERSIANN-CCS QPE with a distributed hydrological model, the Liuxihe model, has a better performance in karst flood forecasting.
Qi Chu, Zongxue Xu, Yiheng Chen, and Dawei Han
Hydrol. Earth Syst. Sci., 22, 3391–3407, https://doi.org/10.5194/hess-22-3391-2018, https://doi.org/10.5194/hess-22-3391-2018, 2018
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The effects of WRF domain configurations and spin-up time on rainfall were evaluated at high temporal and spatial scales for simulating an extreme sub-daily heavy rainfall (SDHR) event. Both objective verification metrics and subjective verification were used to identify the likely best set of the configurations. Results show that re-evaluation of these WRF settings is of great importance in improving the accuracy and reliability of the rainfall simulations in the regional SDHR applications.
Benjamin Mewes and Andreas H. Schumann
Geosci. Model Dev., 11, 2175–2187, https://doi.org/10.5194/gmd-11-2175-2018, https://doi.org/10.5194/gmd-11-2175-2018, 2018
Zhanjie Li, Jingshan Yu, Xinyi Xu, Wenchao Sun, Bo Pang, and Jiajia Yue
Proc. IAHS, 379, 335–341, https://doi.org/10.5194/piahs-379-335-2018, https://doi.org/10.5194/piahs-379-335-2018, 2018
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Multi-model ensemble hydrological simulation has been an effective method for improving simulation accuracy. This study explored the feasibility of applying a multi-model ensemble simulation to the upper Yalongjiang River Basin. The results of the BPNN multi-model ensemble simulation are better than that of a single model. Multi-model ensemble simulation should become an important direction in hydrological simulation research.
Luying Pan, Yangbo Chen, and Tao Zhang
Proc. IAHS, 379, 55–60, https://doi.org/10.5194/piahs-379-55-2018, https://doi.org/10.5194/piahs-379-55-2018, 2018
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Due to rapid urbanization, quick flood response has been observed in Shigu creek, which posted great threat to the flood security. In this paper, the Land cover/use changes of Shigu creek from 1987–2015 induced by urbanization was extracted and the Liuxihe Model was employed to simulate the flood processes impacted by urbanization. Precipitation of 3 storms was used for flood processes simulation. The results show that the runoff coefficient and peak flow have increased sharply.
Chonghao Li, Kaige Chi, Bo Pang, and Hongbin Tang
Proc. IAHS, 379, 125–129, https://doi.org/10.5194/piahs-379-125-2018, https://doi.org/10.5194/piahs-379-125-2018, 2018
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The reservoirs of cascade hydropower stations in Hongshuihe basin are facing more and more integrated water resources utilization problem. This paper introduces the integrated water demand of cascade reservoirs in Hongshuihe and analyses the impact of various types of integrated water demand on power generation. It provides a technical and management guide and demonstration for cascade reservoirs operation and basin integrated water management.
Xiaoxi Gao, Depeng Zuo, Zongxue Xu, Siyang Cai, and Han Xianming
Proc. IAHS, 379, 159–167, https://doi.org/10.5194/piahs-379-159-2018, https://doi.org/10.5194/piahs-379-159-2018, 2018
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The blue and green water resources in the upper Yellow River basin (UYRB) were evaluated by the SWAT model in this study. The results show that the average annual total amount of water resources in the UYRB was 140.5 billion m3, in which the blue water resources is 37.8 billion m3, and green water resources is 107.7 billion m3. The intra-annual variability, inter-annual variabilityand spatial distribution of the blue water and green water is relatively similar.
Xianming Han, Depeng Zuo, Zongxue Xu, Siyang Cai, and Xiaoxi Gao
Proc. IAHS, 379, 105–112, https://doi.org/10.5194/piahs-379-105-2018, https://doi.org/10.5194/piahs-379-105-2018, 2018
Short summary
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To further protect the ecology of the study area, remote sensing image technology is used to analyze the temporal and spatial distribution characteristics of vegetation in the Yarlung Zangbo River Basin by splicing the remote sensing image of a time series (from February 2000 to December 2016). It can be found that vegetation coverage is better in low elevation areas,vegetation change shows a weak sustainability and the vegetation growth is more affected by the temperature than the precipitation.
Siyang Cai, Depeng Zuo, Zongxue Xu, Xianming Han, and Xiaoxi Gao
Proc. IAHS, 379, 73–82, https://doi.org/10.5194/piahs-379-73-2018, https://doi.org/10.5194/piahs-379-73-2018, 2018
Short summary
Short summary
Drought is a natural and recurring feature of climate; occurring in virtually all climatic regimes. Wei River is of great importance in social and economic in China. The temporal and spatial variations of drought in the Wei River basin were investigated by calculating the drought indexes. Through analysis of the historical precipitation and temperature data, it was found that precipitation had a greater contribution to creating agricultural drought conditions than temperature.
Henning Oppel and Andreas Schumann
Hydrol. Earth Syst. Sci., 21, 4259–4282, https://doi.org/10.5194/hess-21-4259-2017, https://doi.org/10.5194/hess-21-4259-2017, 2017
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How can we evaluate the heterogeneity of natural watersheds and how can we assess its spatial organization? How can we make use of this information for hydrological models and is it beneficial to our models? We propose a method display and assess the interaction of catchment characteristics with the flow path which we defined as the ordering scheme within a basin. A newly implemented algorithm brings this information to the set-up of a model and our results show an increase in model performance.
Ji Li, Yangbo Chen, Huanyu Wang, Jianming Qin, Jie Li, and Sen Chiao
Hydrol. Earth Syst. Sci., 21, 1279–1294, https://doi.org/10.5194/hess-21-1279-2017, https://doi.org/10.5194/hess-21-1279-2017, 2017
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Quantitative precipitation forecast produced by the WRF model has a similar pattern to that estimated by rain gauges in a southern China large watershed, hydrological model parameters should be optimized with QPF produced by WRF, and simulating floods by coupling the WRF QPF with a distributed hydrological model provides a good reference for large watershed flood warning and could benefit the flood management communities due to its longer lead time.
Yangbo Chen, Ji Li, Huanyu Wang, Jianming Qin, and Liming Dong
Hydrol. Earth Syst. Sci., 21, 735–749, https://doi.org/10.5194/hess-21-735-2017, https://doi.org/10.5194/hess-21-735-2017, 2017
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The distributed hydrological model has not yet been applied in large watershed flood forecasting due to some limitations. By proposing a method for estimating channel cross section size with remote sensing data, employing the PSO algorithm optimize model parameters and running the model on high-performance supercomputer with parallel computation technique, this article successfully applied the Liuxihe model in a larger watershed flood forecasting in southern China at high resolution.
Wenchao Sun, Yuanyuan Wang, Guoqiang Wang, Xingqi Cui, Jingshan Yu, Depeng Zuo, and Zongxue Xu
Hydrol. Earth Syst. Sci., 21, 251–265, https://doi.org/10.5194/hess-21-251-2017, https://doi.org/10.5194/hess-21-251-2017, 2017
Short summary
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The possibility of using a short period of streamflow data (less than one year) to calibrate a physically based distributed hydrological model is evaluated. Contrary to the common understanding of using data of several years, it is shown that only using data covering several months could calibrate the model effectively, which indicates that this approach is valuable for solving the calibration problem of such models in data-sparse basins.
Henning Oppel and Andreas Schumann
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-486, https://doi.org/10.5194/hess-2016-486, 2016
Preprint withdrawn
Short summary
Short summary
We are assessing the spatial organisation of catchments by a flow path orientated analysis of soil and topographical characteristics. These information are used to identify heterogeneous regions within a watershed and, hence, require subdivision. Based on this analysis we developed an algorithm to perform an automated and impartial sub-basin ascertainment. Results can be used for the spatial set up of hydrological models or catchment classification schemes.
Zongxue Xu and Gang Zhao
Proc. IAHS, 373, 7–12, https://doi.org/10.5194/piahs-373-7-2016, https://doi.org/10.5194/piahs-373-7-2016, 2016
Short summary
Short summary
China is undergoing rapid urbanization during the past decades. For example, the proportion of urban population in Beijing has increased from 57.6 % in 1980 to 86.3 % in 2013. Rapid urbanization has an adverse impact on the urban rainfall-runoff processes, which may result in the increase of urban flooding risk. In this study, the major purpose is to investigate the impact of land use/cover changes on hydrological processes and the flooding risk in Beijing.
David Nijssen, Andreas H. Schumann, and Bertram Monninkhoff
Proc. IAHS, 373, 37–43, https://doi.org/10.5194/piahs-373-37-2016, https://doi.org/10.5194/piahs-373-37-2016, 2016
Short summary
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To objectively compare possible solutions for drought, they have to be commensurable; a daunting condition if they are implementable on dissimilar spatial scales and/or physical compartments. In a water scarce region in China it is it is shown how a generic meta-model in form of a dynamic water balance simulating the hydrosystem, including anthropogenic factors, allows the appraisal of various measure's effects on one one factor; thus securing commensurability.
Andreas H. Schumann
Proc. IAHS, 373, 221–222, https://doi.org/10.5194/piahs-373-221-2016, https://doi.org/10.5194/piahs-373-221-2016, 2016
Y. Chen, J. Li, and H. Xu
Hydrol. Earth Syst. Sci., 20, 375–392, https://doi.org/10.5194/hess-20-375-2016, https://doi.org/10.5194/hess-20-375-2016, 2016
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Parameter optimization is necessary to improve the flood forecasting capability of physically based distributed hydrological model. A method for parameter optimization with particle swam optimization (PSO) algorithm has been proposed for physically based distributed hydrological model in catchment flood forecasting and validated in southern China. It has found that the appropriate particle number and maximum evolution number of PSO algorithm are 20 and 30 respectively.
S. Fischer, R. Fried, and A. Schumann
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hessd-12-8553-2015, https://doi.org/10.5194/hessd-12-8553-2015, 2015
Manuscript not accepted for further review
Short summary
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In the last few years to occurence of extraordinary extreme flood events rised the question for a suitable statistical model to describe this flood behaviour and give a possibility for the calculation of high quantiles. Since the occurence of these extreme events in very short time series (less than 100 years) could influence the statistical estimators leading to a too high estimation we want to use robust estimators to give a moderate weighting to these floods. The results are given here.
M. Schulte and A. H. Schumann
Proc. IAHS, 370, 177–181, https://doi.org/10.5194/piahs-370-177-2015, https://doi.org/10.5194/piahs-370-177-2015, 2015
Z. X. Xu and Q. Chu
Proc. IAHS, 369, 97–102, https://doi.org/10.5194/piahs-369-97-2015, https://doi.org/10.5194/piahs-369-97-2015, 2015
Short summary
Short summary
Three hourly assimilated precipitation series with 0.1 deg. are used to analyze the features and trends of extreme precipitation in Beijing, China. The results show that: (1) the local climate and topography are two main factors influencing the spatial distributions of precipitation; (2) areas with greater precipitation threshold may have shorter precipitation days; (3) extreme precipitation amount (48% of precipitation) concentrated on urban areas and mountain area within only 5 to 7 days.
Z. X. Xu, X. J. Yang, D. P. Zuo, Q. Chu, and W. F. Liu
Proc. IAHS, 369, 121–127, https://doi.org/10.5194/piahs-369-121-2015, https://doi.org/10.5194/piahs-369-121-2015, 2015
Short summary
Short summary
Spatiotemporal characteristics of extreme precipitation and temperature in Yunnan Province, China, were analyzed by using observed daily data at 28 meteorological stations from 1959-2013 in this study.Both maximum and minimum temperature showed significant increasing tendency while there was not obvious changes for precipitation.It was noted that extreme precipitation and temperature events occurred more frequently in central region where the risk of extreme climatic events was greater.
D. Zhu, D. Z. Peng, and I. D. Cluckie
Hydrol. Earth Syst. Sci., 17, 1445–1453, https://doi.org/10.5194/hess-17-1445-2013, https://doi.org/10.5194/hess-17-1445-2013, 2013
D. Zhu, Q. Ren, Y. Xuan, Y. Chen, and I. D. Cluckie
Hydrol. Earth Syst. Sci., 17, 495–505, https://doi.org/10.5194/hess-17-495-2013, https://doi.org/10.5194/hess-17-495-2013, 2013
