Water Resources and Hydropower Engineering

About the Journal

Journal Title: Water Resources and Hydropower Engineering
Publication Cycle: Monthly(Published on the 20th of each month)
Governing Body: Ministry of Water Resources of the People's Republic of China
Sponsor: Development Research Center of the Ministry of Water Resources
Tel: 010-63205981
E-mail： 13941816@qq.com
China Standard Serial Number (CN): 10-1746/TV
International Standard Serial Number (ISSN): 1000-0860

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Solicitation letter for the special issue of "Climate Change, Extreme Weather, and Complex Disaster Response"

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Current Issue Archive Online First Most Cited Most Download

Issue 06,2026

气候变化驱动下干旱的多尺度响应机制与韧性适应路径专栏

Analysis of evolutionary characteristics and causes of drought-flood abrupt alternation in middle and lower reaches of Yangtze River Basin

WANG Li;XIA Huan;YUAN Zhe;SHI Xiaoliang;LI Zhiyi;HU Jing;XU Liang;

[Objective]Under the influence of the subtropical monsoon climate, drought-flood abrupt alternation(DFAA) events frequently occur in the middle and lower reaches of the Yangtze River Basin(MLRYRB), posing a serious threat to the sustainable development of the river basin. Therefore, accurately identifying and analyzing the evolution patterns and causes of DFAA events is of great significance for formulating regional disaster prevention and mitigation strategies.[Methods]The short-cycle drought-flood abrupt alternation index(SDFAI) was employed as an indicator for identifying DFAA events to examine the spatiotemporal characteristics of drought-to-flood(DTF) and flood-to-drought(FTD) events in the middle and lower reaches of the Yangtze River, including their frequency, spatial extent, and intensity. Furthermore, the multiscale geographically weighted regression(MGWR) model and the random forest(RF) model were used to quantify the meteorological and atmospheric circulation factors of DFAA events.[Results]The result showed that:(1) DTF and FTD events occurred alternately, with the annual maximum intensity of DTF events showing a decreasing trend and that of FTD events showing an increasing trend, indicating a shift from DTF-dominated to FTD-dominated patterns.(2) The number of occurrences of both DTF and FTD events was primarily concentrated between 22 and 26 times, with the slight events exhibiting the broadest spatial extent and moderate-intensity events being the most frequent. Spatially, western Hunan, southern Anhui, and southern Jiangsu were DTF-prone areas, while southern Hunan and southern Hubei were more susceptible to FTD events.(3) Temperature(TRE) and precipitation(PRE) were the dominant meteorological drivers of DFAA events, serving as the primary or secondary influencing factors in more than 50% of the region. However, sunshine duration(SSD) was the primary influencing factor for FTD events in 29.12% of the region. The El Ni1o-Southern Oscillation(ENSO)and Sunspot were the major atmospheric circulation factors influencing DFAA events.[Conclusion]Compared to FTD events, DTF events exhibited greater intensity, frequency, and spatial extent in the MLRYRB. Hunan, central Hubei, and southern Anhui are regions with frequent occurrences of DFAA events. TEM and PRE are the dominant meteorological drivers of DFAA events, while the ENSO and Sunspot were the key atmospheric circulation factors. These findings can provide scientific guidance for improving the monitoring, prediction, and management of DFAA events in this region.

Issue 06 ,2026 v.57 ;
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Spatiotemporal evolution characteristics of compound drought and heatwave events in Dongting Lake Basin

RUAN Huixing;DENG Yu;OU Zhou;WANG Xuan;LIN Jingbo;YANG Peng;DENG Haijun;

[Objective]In the context of global climate warming, extreme weather events occur with increasing frequency in the Dongting Lake Basin, and compound drought and heatwave events(CDHEs) exacerbate their influence on socioeconomy and the ecological environment. Analyzing the spatiotemporal evolution patterns of the CDHEs in the Dongting Lake Basin and their response to atmospheric circulation factors is of great significance for regional disaster prevention and mitigation.[Methods]Based on daily maximum temperatures, Standardized Precipitation Evapotranspiration Index(SPEI), and atmospheric circulation indices from 1971 to 2020, trend analysis and wavelet coherence analysis were employed to analyze the spatiotemporal evolution patterns and atmospheric circulation driving mechanisms of CDHEs in the Dongting Lake Basin.[Results]The results showed that from 1971 to 2020, the annual maximum daily temperature in the Dongting Lake Basin showed a significant increasing trend, with a rate of 0.28 ℃/10 a. The SPEI showed substantial interannual fluctuations, with no clear pattern. Droughts were relatively frequent and persistent, occurring during 1983—1988 and 2003—2009. The number of days and duration of CDHEs in the river basin demonstrated increasing trends, with the number of days increasing at rates of 2.2 d/10 a, 1.3 d/10 a, 0.3 d/10 a, and the duration increasing at 0.9 d/10 a, 0.6 d/10 a, 0.2 d/10 a, respectively, exhibiting significant interdecadal variation characteristics. Seasonally, CDHEs mainly occurred in July and August. In the latter 25 years, the number of days and duration of these events increased compared to the former 25 years. Spatial frequency variations exhibited an “increase in the east and decrease in the west” pattern. The northeastern region showed the most significant increase, exceeding 200%. The frequency of CDHEs was influenced by multi-scale atmospheric circulation factors, among which the El Ni1o-Southern Oscillation(ENSO), Pacific Decadal Oscillation(PDO), North Atlantic Oscillation(NAO), and Western Pacific Subtropical High(WPSH) demonstrated more significant influence.[Conclusion]From 1971 to 2020, the number of days and duration of CDHEs in the Dongting Lake Basin showed increasing trends, with significant spatial distribution differences. An overall increasing trend was observed in the east, while the decreasing areas were mainly located in the west. Atmospheric circulation factors such as ENSO, PDO, and NAO were important influencing factors of the occurrence of CDHEs. These findings provide a scientific basis for regional compound disaster risk assessment and adaptive management.

Issue 06 ,2026 v.57 ;
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城市水循环过程解析与水质安全保障专栏

Low-cost early warning for direct drinking water pipeline leakage based on SMOTE-ENN-GWO-SVM model

WANG Pengyuan;LIU Zhixue;GUO Guangfeng;LIU Baowei;DU Shuaishuai;LIU Ying;

[Objective]Leakage in direct drinking water pipelines has long been a persistent challenge in China's water supply industry. It not only affects residents' normal water usage but also leads to substantial drinking water waste and brings significant economic losses to water supply enterprises. Current leakage detection technologies face challenges such as high equipment costs, insufficient intelligence levels, and imbalanced data categories.[Methods]To address these issues, a low-cost pipeline leakage early warning model based on the principle of constant pressure water supply was proposed. Building upon the principle of constant pressure water supply, the dynamic changes in operational parameters of water supply frequency converter, such as frequency, voltage, current, and rotational speed, were used to establish the SMOTE-ENN-GWO-SVM leakage early warning model by integrating intelligent algorithms and machine learning technologies. The SMOTE algorithm was used to perform oversampling on the sample data to balance the class distribution, the Edited Nearest Neighbors(ENN) algorithm was applied to clean noisy samples, and the grey wolf optimizer was used to adjust the key hyperparameters of the support vector machine(SVM) to enhance model performance.[Results]The result showed that the SMOTE-ENN-GWO-SVM model achieved an accuracy of 98.16% and an F1 score of 0.952 3, both outperforming the comparative models.[Conclusion]This method significantly improves the accuracy and robustness of leakage detection. Its characteristics of low cost and high precision meet the practical application requirements for responsive and reliable leakage detection in direct drinking water systems, providing technical support for improving the efficiency of urban water resource management.

Issue 06 ,2026 v.57 ;
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新能源开发与水电融合利用专栏

Long-term optimized scheduling of hydro-wind-PV complementary systems considering extreme new energy output events

YAN Jingjing;WANG Zhenni;WEN Xin;LIU Zhehua;

[Objective]To address the risks of power shortage or water abandonment in hydro-wind-PV complementary systems under continuous extreme new energy output events, and to coordinate the mid-term scheduling risks and long-term power generation benefits of the system, a long-term optimized scheduling method for hydro-wind-PV complementarity considering extreme new energy output is proposed.[Methods]First, extreme new energy output scenarios were defined, and samples were extracted from multi-year historical data to reveal the characteristics of extreme new energy output. Second, a scheduling risk assessment method for hydro-wind-PV systems under extreme new energy scenarios was developed. Finally, a multi-objective optimization model for hydro-wind-PV complementarity was established, considering both power generation and scheduling risks to enhance the system's response capability to extreme new energy events, and it was validated using the Beipan River Clean Energy Base as a case study.[Results]The result showed that taking a normal year as an example, before optimization, the maximum power shortage risk reached 0.75×10⁸ kWh in the pre-flood stage, while the maximum power curtailment risk reached 0.31×10⁸ kWh in the post-flood stage. Compared with the power-generation-optimal solution, the balanced scheme reduced scheduling risk by 0.48×10⁸ kWh and decreased power generation by 0.17×10⁸ kWh. Compared with the risk-optimal solution, the balanced scheme increased scheduling risk by 0.21×10⁸ kWh while improving power generation by 0.66×10⁸ kWh. The proposed model recommended controlling the water level of Guangzhao Reservoir within 692.15～694.93 m in the pre-flood stage and 743.84～745.00 m in the post-flood stage.[Conclusion]The hydro-wind-PV system shows significant limitations in flexible regulation performance. The proposed multi-objective optimization model can effectively coordinate power generation benefits and scheduling risks under extreme new energy scenarios. The key-node water level intervals corresponding to the Pareto front set can serve as reasonable water level control ranges. The balanced scheme demonstrates excellent performance in balancing power generation benefits and risk control and achieves a significant reduction in scheduling risks at the expense of only a small loss in generation, thereby providing valuable guidance for formulating scheduling strategies against extreme new energy output.

Issue 06 ,2026 v.57 ;
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变化环境下青藏高原水资源与生态系统演变机制及调控研究专栏

Study on climate change and hydrological response characteristics on northern slope of Kunlun Mountains

ZHAO Qi;SHI Xuexia;ZHANG Liang;PANG Ning;GU Xinchen;Xinjiang Uygur Autonomous Region Hydrological Analysis and Computation Center;Xinjiang Vocational University;

[Objective]Due to the complexity of high-altitude environments and the combined effects of climate change and human activities, the mechanisms of runoff variations on the northern slope of the Kunlun Mountains have become one of the core challenges in current hydrological research in arid regions. The coordinated evolution patterns of climatic and hydrological processes on the northern slope of the Kunlun Mountains(covering Hotan River, Keriya River, and Cherchen River basins) from 1956 to 2023, as well as their underlying influencing factors, are investigated, aiming to provide decision-making support for the sustainable management and scientific allocation of water resources in cold and arid regions.[Methods]Based on high-resolution meteorological and hydrological databases, and combining methods including linear regression analysis, moving average analysis, and anomaly analysis, the long-term trends, spatial clustering, and driving mechanisms of regional temperature, precipitation, and runoff were revealed.[Results]The results indicated that(1) the region showed significant accelerated warming, with a warming rate of 0.313～0.375 ℃/10 years, significantly higher than the global and national average values. It was primarily driven by the elevation-dependent warming effect and the decrease in surface albedo caused by snow and ice melting.(2) Precipitation generally exhibited a linear increasing trend(1.17～11.8 mm/10 years), but due to the weakening of westerly moisture transport, precipitation in the eastern region shifted to a decreasing trend after 2020.(3) Runoff increased significantly after the 1990 s(with an increase of over 30% after 2010). Decoupling analysis based on Z-score standardization confirmed that temperature contributed far more to runoff than precipitation. Runoff primarily depended on short-term replenishment from accelerated glacial melting, showing a high degree of synchrony with temperature changes, whereas the precipitation-runoff response exhibited a lag, which might be related to groundwater storage and regulation.(4) Hydrological responses differed significantly between the eastern and western regions. The precipitation-to-runoff conversion efficiency remained stable in western river basins, whereas that in eastern river basins experienced distinct decoupling after 2020.[Conclusion]The northern slope of the Kunlun Mountains shows an extreme “temperature-controlled” response pathway, and climate change has significantly reshaped the regional hydrological patterns. Therefore, it is necessary to develop a monitoring and early warning system targeting peak glacial melting, revise water conservancy engineering standards, and optimize water resource allocation strategies, so as to cope with future runoff decline risks and ensure regional water and ecological security.

Issue 06 ,2026 v.57 ;
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Surface damage detection method for wind turbine hybrid tower structures based on the Wind-YOLO model

TIAN Xiang;ZHANG Shaoqiang;QUAN Xiaoshu;LIU Meng;ZHANG Mingfei;WU Yanqi;

[Objective] Wind turbine hybrid towers are critical structural components in wind power generation systems， and the precise detection of their surface damages (such as cracks， corrosion， and spalling) is vital for ensuring the safe operation of wind farms. However， existing detection methods suffer from insufficient extraction of fine-grained features， high miss rates of small-scale targets， and low computational efficiency， especially in complex environments. [Methods] To address these challenges， a specialized detection model was proposed based on an improved YOLOv11 architecture， named Wind-YOLO. The key innovations of the model include: (1) designing an efficient wavelet downsampling module that employs a dual-branch strategy combining wavelet transforms and convolutional downsampling， which effectively preserves multi-scale structural details while reducing the resolution of feature maps， significantly enhancing sensitivity to minor cracks; (2) introducing a polarized self-attention mechanism that leverages orthogonal feature modeling in both channel and spatial dimensions， thus strengthening the model’s ability to focus on local damages amidst complex backgrounds; and (3) incorporating the Powerful-IOU bounding box regression loss， which employs an adaptive， target-size-aware dynamic gradient modulation strategy to mitigate the blind anchor box expansion typically caused by traditional IoU losses. [Results] Experimental results show that Wind-YOLO achieves a mAP-50 of 82.1% on the self-built dataset， with a parameter count of only 3.0M and a computational cost of 7.0 GFLOPs， demonstrating good lightweight characteristics and low computational complexity. [Conclusion] The model provides a high-accuracy and lightweight solution for intelligent inspection of hybrid wind turbine towers， making it particularly suitable for real-time deployment on drones and edge devices.

Online First Publication Date (Accepted Manuscript):2026-07-24 15:40:24 ; 国家自然科学基金项目(41902266); 国家资助博士后研究人员计划(GZC20252154); 河南省研究生教育改革与质量提升工程项目(YJS2025XQC36); 河南省高等学校重点科研项目资助性计划（26A560021）
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Simulation of slope runoff-sediment processes based on coupling of SCS-CN and RUSLE: a case study of artificial rainfall at Hetonggou test site

HU Zehua;LIU Xiaomin;WANG Zihang;LI Xingyue;WANG Wenjuan;LIU Yong;

[Objective] The water-sediment relationship in the Ω-shaped bend region of the Yellow River is unbalanced. Accurate simulation of slope runoff and sediment yield under different rainfall conditions is important for understanding slope-scale runoff-sediment responses and supporting soil and water conservation. [Methods] Based on 54 artificial rainfall simulation experiments conducted at the Hetonggou test site during 2023–2024， combined scenarios were designed with three slope gradients (5°， 10°， and 15°)， three vegetation coverage levels [low (14%～17%)， medium (50%～58%)， and high (72%～77%)]， and three rainfall intensities (21， 50， and 93 mm/h). By incorporating antecedent soil moisture content and the stable infiltration process， the key parameters of the SCS-CN model were optimized using a Bayesian approach， and the optimized model was coupled with RUSLE to simulate slope runoff and sediment processes. [Results] The experiments revealed that vegetation coverage was the dominant factor controlling slope runoff and sediment yield， with contribution rates above 85% at rainfall intensities of 21 and 50 mm/h and above 74% at a rainfall intensity of 93 mm/h. The effect of slope increased with rainfall intensity， reaching 19.95% at a rainfall intensity of 93 mm/h. The optimized SCS-CN model substantially improved runoff simulation accuracy， with NSE increasing from 0.68 to 0.85 and RMSE decreasing from 3.8 mm to 2.1 mm. After coupling with RUSLE， the model performed well in simulating runoff and sediment yield under different conditions. [Conclusion] Vegetation coverage plays a dominant role in reducing runoff and sediment under low and moderate rainfall conditions， whereas slope exerts a stronger effect on erosion dynamics under high-intensity rainfall conditions. Considering antecedent soil moisture content， stable infiltration process， and CN parameter optimization can improve the applicability of the SCS-CN model at the slope scale in the study area.

Online First Publication Date (Accepted Manuscript):2026-07-22 11:33:48 ; “科技兴蒙”行动重点专项项目(2022EEDSKJXM004); 内蒙古自治区教育厅一流学科科研专项项目（YLXKZX-NND-010）; 黄河水科学研究联合基金项目（U2443224）; 国家自然科学基金面上项目（52579067）
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Prediction of surface water temperature in Xingyun Lake based on interpretable deep learning

WANG Rubing;JIANG Cuiling;SUN Lei;DAI Haozhang;XU Ruiting;LIU Xianggai;LIU Zhouzhi;SHI Chunyan;

[Objective] In the context of global warming， the continuous rise in lake surface water temperature (LSWT) has become a key factor in exacerbating lake eutrophication. Therefore， accurately predicting its future trends is of great significance for the early warning of lake eutrophication and water environment management. [Methods] Based on MODIS remote sensing images， daily LSWT data for Xingyun Lake from 2002 to 2024 were acquired. The random forest (RF) algorithm was employed to impute missing values. Subsequently， a parallel LSTM-Transformer deep learning model was developed to predict future LSWT trends under different climate scenarios (SSPs). Furthermore， the SHapley Additive exPlanations (SHAP) method was introduced to identify the key driving factors of LSWT and their directions of influence. [Results] The results indicated that: (1) the warming rate of surface water temperature in Xingyun Lake was 0.27℃/10a from 2002 to 2024， with a particularly pronounced warming trend in autumn. (2) The LSTM-Transformer fusion model exhibited high prediction accuracy， with a coefficient of determination (R²) of 0.95 and a root mean square error (RMSE) of 0.89℃. Under future climate scenarios (SSP1-2.6， SSP2-4.5， and SSP5-8.5)， the LSWT of Xingyun Lake was projected to continue rising at a rate of 0.11℃/10a～0.42℃/10a. (3) Near-surface air temperature and surface downward longwave radiation were identified as the primary driving factors influencing LSWT variations in Xingyun Lake. [Conclusion] The developed deep learning model exhibits good applicability for predicting surface water temperature in plateau lakes. The framework can provide a basis for adaptive water environment management and early warning of ecological risks in plateau lakes under future climate scenarios.

Online First Publication Date (Accepted Manuscript):2026-07-22 10:17:34 ; 国家重点研发计划（2023YFC3207503）
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Effect of raw materials of hydraulic concrete on air-entrainment under different atmospheric pressures and sensitivity analysis

XU Dinghui;MA Wei;TANG Jianming;HUANG Gang;ZHANG Long;LYU Xingdong;LI Gaofeng;HUO Jinyang;

Air-entraining agents are commonly used admixtures to enhance the workability and frost resistance of concrete. However, their air-entraining effectiveness is adversely affected in plateau environments with low atmospheric pressure. This study investigated the influence of raw materials in hydraulic concrete on the air-entraining effectiveness under different atmospheric pressures. The result indicated that the loss on ignition of fly ash and the micro-powder content in manufactured sand had detrimental effects on the foaming performance of the air-entraining agent, significantly reducing the foaming height of the solution and accelerating bubble loss. Furthermore, the low-pressure environment further diminished the air-entraining effectiveness of the solution incorporating different raw materials. While the low-pressure environment showed limited impact on the workability and mechanical properties of fresh normal concrete, it led to a reduction in both the workability and mechanical properties of roller-compacted concrete. The initial air content decreased by 17. 1%, and the VC value increased by 8. 1% compared to conditions in the Wuhan region, accompanied by an aggravated time-dependent loss. The 28-day compressive strength and splitting tensile strength also decreased by 15. 8% and 12. 7%, respectively. Sensitivity analysis revealed that under low pressure, the comprehensive sensitivity ranking of factors affecting the foaming height and time-dependent loss rate of the air-entraining agent solution was as follows:loss on ignition of fly ash, micro-powder content in manufactured sand, mixing water, and water-reducing agent.

Online First Publication Date (Accepted Manuscript):2026-07-21 13:09:07 ; 湖北省青年科技人才培养项目(2025DJA075); 长江科学院中央级公益性科研院所基本科研业务费(CKSF2025712/CL);长江科学院中央级公益性科研院所基本科研业务费(CKSF20241002/CL)
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Evolution and attribution analysis of extreme climate under global warming and urbanization: based on observed data from Suqian City during 1955-2024

SUN Zhouliang;XI Hui;ZHU Mingjuan;FANG Qiong;LI Yingrui;WANG Min;LI Tao;

[Objective] The evolution patterns of extreme climate in cities within the north-south climate transition zone are revealed， thereby providing scientific support for disaster prevention and mitigation， water resources regulation， and climate resilience construction in Suqian City. [Methods] Daily temperature and precipitation observation data from four meteorological stations in Suqian during 1955–2024 were used. Linear trend analysis， the Mann-Kendall test， the trend-free pre-whitening MK test， and the Pettitt abrupt change test were applied to identify evolution characteristics of climatic series. A system consisting of 44 extreme climate indicators was constructed to analyze evolution patterns of extreme precipitation， extreme temperature， and compound extreme events. Partial correlation analysis， stepwise regression， piecewise multiple regression， and hierarchical variance decomposition were used to quantify the effects of three driving factors， namely， global warming， atmospheric circulation， and urbanization. [Results] Over the past 70 years， no significant trend or abrupt change was detected in annual total precipitation， while a remarkable transformation was observed in precipitation structure. The frequency of moderate rainfall events decreased， and the proportions of rainstorms， short-duration extreme precipitation， and nighttime precipitation continuously increased， leading to shorter and more evenly distributed precipitation processes. The annual average temperature increased extremely significantly at a rate of 0.28–0.38 °C per decade， and consistent abrupt changes occurred across the whole study area in 1993. Diurnal asymmetric warming characteristics were observed. The warming rate of nighttime low temperature was significantly higher than that of daytime temperature， and the diurnal temperature range was continuously reduced. The reduction in cold events was far greater than the increase in warm events. Dry-warm and dry-cold compound extreme events were dominant， while warm-wet and cold-wet events occurred at very low frequencies， indicating a shift in climate risk from cold-dry dominance to warm-dry dominance. According to variance decomposition results， an independent variance contribution of 23.2% was obtained for global warming， and independent contributions of 3.1% and 8.8% were obtained for large-scale atmospheric circulation and local urbanization， respectively. A total of 13.4% of temperature variation was explained by multi-factor coupling interaction. Piecewise regression results showed that the local response intensity of regional climate to atmospheric circulation and global warming was weakened by rapid urbanization， and no significant linear warming effect was detected for urbanization. [Conclusion] A systematic transformation of climate features is identified in Suqian during 1955–2024， with diurnal asymmetric warming， intensified extreme precipitation， and warm-dominated compound climate risks as the three core characteristics. Global warming dominates regional temperature variations. Urbanization alters climate conditions only through long-term cumulative effects， whereas its marginal warming effect is insignificant. The findings can provide a reference for climate adaptation and disaster prevention in similar cities within the north-south climate transition zone.

Online First Publication Date (Accepted Manuscript):2026-07-17 17:37:56 ; 国家重点研发计划项目（2023YFC3209203，2023YFC3209305）; 青海省基础研究计划项目（2025-ZJ-721）; 河南省自然科学基金项目（252300423358）; 黄河水利科学研究院基本业务项目（HKY-JBYW-2024-12，HKY-YF-2024-05，HKY-JBYW-2025-17）; 海绵城市河道智能调度系统项目（E3213010313202305120-1）
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Issue 06 ,1989 ;
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Issue 07 ,2003 ;
[Downloads: 3,472 ] [Citations: 389 ] [Reads: 81 ] HTML PDF Cite this article

Simulative analysis on storm flood in typical urban region of Beijing based on SWMM

CONG Xiang-yu1, NI Guang-heng1, HUI Shi-bo1, TIAN Fu-qiang1, ZHANG Tong2(1.Department of Hydraulic Engineering, Tsinghua University, Beijing 100084,China; 2.Beijing Municipal Institute of Hydraulic Engineering Planning, Design & Research, Beijing 100044,China)

Based on SWMM(Storm Water Management Model), a typical urban region is selected to calculate the status under the design storms with different frequencies in the region, such as drainage effect and water-logging, overland flow on road etc.,and simultaneously, the storm floods under different conditions, including reforming the protruding green belts into plain or concave ones, placing flood storage areas etc.,are simulated with the evaluation on their effects. The simulative calculation results show that all the three measures mentioned herein have larger effects on the infiltration, runoff, flood peak flow and overland flow and can greatly alleviate the pressure of the draining pipeline, clip the flood peak and increase the infiltration as well, if they are taken as the additional important measures of urban drainage for flood control.

Issue 04 ,2006 ;
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Issue 09 ,2003 ;
[Downloads: 4,005 ] [Citations: 354 ] [Reads: 76 ] HTML PDF Cite this article

Issue 07 ,2002 ;
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Study on fragmentation of emergency management during “7·20” extreme rainstorm flood disaster in Zhengzhou of Henan Province and relevant comprehensive treatment

CHEN Zhouying;KONG Feng;

Under the background of global warming, frequent rainstorms and floods affect urban and rural areas in China. Emergency management is the last defence line to ensure the safety of people′s lives and property. Fragmentation severely restricts the effectiveness of emergency management.The problem of fragmentation of emergency management exposes during dealing with the “7-20” extreme rainstorm flood in Zhengzhou of Henan Province. Therefore, the performances and negative impacts from the fragmented actions of all the emergency subjects during the “7-20” extreme rainstorm flood disaster are studied herein, and then the relevant suggestions on the emergency comprehensive treatment of the rainstorm flood are proposed as well, so as to enhance the effectiveness of the storm-flooding emergency management in China and provide some references and experiences for the other cities and regions. The study finds out that(1) the fragmentation of emergency management is composed of the causations in several aspects, such as fragmentation of emergency system, fragmentation of emergency organization design, fragmentation of emergency information, fragmentation of emergency awareness, fragmentation of emergency subject and object, etc., especially the fragmentation of emergency system affects all the other four aspects;(2) the fragmentation of emergency system leads to the lack of the coordination among the emergency actions of all the emergency subjects in Zhengzhou and the failure of the performances of their emergency duties; the fragmentation of emergency authority and responsibility leads to the management dislocation and omission; the fragmentation of emergency information leads to the difficulty of emergency decision-making and post-disaster learning; the fragmentation of emergency perception exacerbates the difficulty of disaster risk and management; the fragmentation of emergency information leads to the difficulty of emergency decision-making and post-disaster learning; the fragmentation of emergency awareness intensifies disaster risk and management difficulty; the fragmentation of emergency objects leads to high disaster-bearing vulnerability of the vulnerable areas and vulnerable groups;(3) the comprehensive treatment measures for the fragmentation of the emergency management of storm-flooding disaster include promoting the connection and integration of flood control emergency systems, implementing flood control drilling, realizing the whole process of emergency management, optimizing the organizational design of flood control emergency response, improving overall coordination mechanism, promoting the matchment of authorities with responsibilities, establishing a flood control information sharing platform and obtaining more comprehensive disaster information with advanced techniques, strengthening emergency training and changing leadership thinking to promote the culture integration of the emergency flood control awareness, so as to break the dual concept and system of emergency service with the goal of achieving equalization.

Issue 08 ,2022 v.53 ;
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Theories and practices of river eco-restoration

DONG Zhe-ren,SUN Dong-ya,PENG Jing(China Institute of Water Resources and Hydropower Research,Beijing 100038,China)

A holistic model of river eco-restoration is put forward herein,and then the stresses from water works on river eco-systems and their mechanism are comprehensively analyzed with a systematical introspection on the traditional planning and design concept and method of the water projects.Furthermore,both the planning principle and the assessment method for river eco-restoration and the technology of the eco-restoration of river corridor are summarized.At last,a demonstration project is briefly introduced as well.

Issue 01 ,2009 v.40 ;
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Loess Plateau soil erosion governance and runoff-sediment variation of Yellow River

HU Chunhong;ZHANG Xiaoming;

"The Yellow River governance focuses on protection and governance". Clarifying the effects of ecological governance on the Loess Plateau and its influences on variation of the runoff-sediment relationship of the Yellow River is helpful to provide a scientific and technical support for the coordinating the runoff-sediment relationship of the Yellow River. Through sorting out the processes of soil erosion control of the Loess Plateau and the changes of the governance measures, the sediment reduction effect of the governance measure are discriminated and analyzed herein. The study shows that(1)the Loess Plateau experiences five ty-pical governance processes and the dominant hue of the Loess Plateau changes from yellow to green, while the underlying surface therein is irreversibly changed;(2)since 2000, the rainfalls during flood seasonsare relatively abundant along with the increases of extreme rainfalls, while the sediment transport of the Yellow River is sharply decreased by 85% if it is compared with that du-ring the period of 1919—1959 along with the decreases of the occurrence frequencies of the middle stream moderate and normal floods and the transformation of the downstream channel sedimentation into erosion;(3)the sediment reduction effects from grass-land, terraced fields and warp-land dams are significant along with the sediment discharge ratio of less than 15%, thus the phenomenon of the so called"deposit in installments while withdraw in lump sum"is difficult to occur;(4)comparing with the historical extreme rainfall events, the typical secondary flood volumes and sediment yields within the river basin are decreased by 30%～78% and 53%～88% respectively with significant soil and water conservation effects under the conditions of the similar rainfalls and the intensities after 2000;(5)it is advisable to adjust the patterns of the soil erosion governanceof the Loess Plateau, perfect the water-sediment regulation system, improve the downstream channel and emancipate the flood plain under the new situation of water-sediment regime therein.

Issue 01 ,2020 v.51 ;
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Simulative analysis on storm flood in typical urban region of Beijing based on SWMM

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