Spatiotemporal characteristics of earthquake disaster losses in China from 1993 to 2016

The present study analyzes the runoff response during extreme rain events over the basin of Subarnarekha River in India using soil and water assessment tool (SWAT). The SWAT model is configured for the Subarnarekha River basin with 32 sub-basins. Three gauging stations in the basin (viz., Adityapur, Jamshedpur and Ghatshila) were selected to assess the model performance. Daily stream flow data are taken from Central Water Commission, India—Water Resources Information System. Calibration and validation of the model were performed using the soil and water assessment tool-calibration uncertainty programs (SWAT-CUPs) with sequential uncertainty fitting (SUFI-2) algorithm. The model was run for the period from 1982 to 2011 with a calibration period from 1982 to 1997 and a validation period from 1998 to 2011. The sensitivity of basin parameters has been analyzed in order to improve the runoff simulation efficiency of the model. The study concluded that the model performed well in Ghatshila gauging station with a Nash–Sutcliffe efficiency (NSE) of 0.68 during calibration and 0.62 during validation at daily scale. The model, thus calibrated and validated, was then applied to evaluate the extreme monsoon rain events in recent years. Five extreme events were identified in Jamshedpur and Ghatshila sub-basins of Subarnarekha River basin. The simulation results were found to be good for the extreme events with the NSE of 0.89 at Jamshedpur and 0.96 at Ghatshila gauging stations. The findings of this study can be useful in runoff simulation and flood forecasting for extreme rainfall events in Subarnarekha River basin.     

特大洪水日地水文学长期预测

对于大江大河重现期为 5 0 10 0a的因暴雨产生的特大洪水 ,要提前 0 5a作出确定性预测和最大洪峰流量预报 ,国内外学者一般认为 ,由于缺乏相应的预测理论和方法 ,实际上不可能。笔者积40a的研究 ,在所创建的日地水文学理论和大洪水长期预测方法多次应用成功的基础上 ,对于 1998年长江特大洪水 ,先提前 10a作出初步预测 ,临期又提前 0 5a作出定性和定量预报。其依据是太阳活动、西太平洋海温下降、印度洋海温异常上升、东南非经南亚至中国西南气流异常降雨降雪、长江下游南侧特别是闽浙赣相邻地区前冬暴雨洪水 ,以及长江中游 133a来枯水季 1月破纪录罕见特高水位等一系列日地水文物理的新发现和先兆分析。经过和 1870年、195 4年、1931年等多次特大洪水的比较研究 ,从初步预测逐步深入 ,结果求得确定性预测。最后再根据上一次 2 2a周期性大洪水 ,按照日地水文相似模型 ,以太阳活动相对增量为参变量 ,建立最大洪峰流量预报公式 ,从而计算求得为80 0 0 0m3 /s。经 1998年 1月下旬提出预报 ,1998年 7月、8月已获得完全证实。在中国和全球大河中 ,80 0 0 0m3 /s特大洪水的成功长期预测 ,这是第一次。在洪水物理和定量预报上获得突破。     

The reconstruction of a glacial lake outburst flood using HEC-RAS and its significance for future hazard assessments: an example from Lake 513 in the Cordillera Blanca,Peru

In April 2010, an ice/rockfall into Lake 513 triggered a glacial lake outburst flood (GLOF) along the Chucchun River in the Cordillera Blanca of Peru. This paper reconstructs the hydrological characteristics of this as yet undocumented event using a 1D flood model prepared with HEC-RAS. The principle model inputs were obtained during detailed field surveys of surface characteristics and topography within the river and across the adjacent floodplain; a total of 120 cross-sections were surveyed. These inputs were refined further by eyewitness accounts and additional geomorphological observations. The flood modelling has enabled us to constrain the extent of the water surface and its elevation at each cross-section in addition to defining the peak discharge (580 m³ s^?1). These modelling results show good agreement with other information about the flood including: flood marks and minimum flood levels; the lake displacement wave height; the extent of the flooded area; and the travel time from Lake 513 to the confluence with the Santa River. This demonstrates that the model offers a reliable reconstruction of the basic hydrological characteristics of the GLOF. It provides important information about the flood intensity and significantly improves our ability to model future flood scenarios along both the studied river and within neighbouring catchments. The flood hazard, defined by the flood depth during peak discharge, shows that the majority of the damaged infrastructure (houses, bridges, and a drinking water treatment plant) was only subjected to low or medium flood intensities (defined by a maximum water depth of less than 2 m). These low flood intensities help to explain why the flooding caused comparatively minor damage despite the significant public attention it attracted.     

沱江上游长期洪水预报初探

沱江上游洪水属典型天然河道洪水特性,采用历史洪水系列,分析了厄尔尼诺现象和太阳黑子活动对沱江上游洪水的影响,并通过分析周期变化规律及数理统计分析预报等多种方法,综合分析了各种相关因子对沱江上游三皇庙水文站历年最大流量的影响,从而提高了沱江上游长期洪水预报精度。     

Flood inundation mapping and hazard assessment of Baitarani River basin using hydrologic and hydraulic model

Frequent flood is a concern for most of the coastal regions of India. The importance of flood maps in governing strategies for flood risk management is of prime importance. Flood inundation maps are considered dependable output generated from simulation results from hydraulic models in evaluating flood risks. In the present work, a continuous hydrologic-hydraulic model has been implemented for mapping the flood, caused by the Baitarani River of Odisha, India. A rainfall time-series data were fed into the hydrologic model and the runoff generated from the model was given as an input into the hydraulic model. The study was performed using the HEC-HMS model and the FLO-2D model to map the extent of flooding in the area. Shuttle Radar Topographic Mission (SRTM) 90 m Digital Elevation Model (DEM) data, Land use/Land cover map (LULC), soil texture data of the basin area were used to compute the topographic and hydraulic parameters. Flood inundation was simulated using the FLO-2D model and based on the flow depth, hazard zones were specified using the MAPPER tool of the hydraulic model. Bhadrak District was found to be the most hazard-prone district affected by the flood of the Baitarani River. The result of the study exhibited the hydraulic model as a utile tool for generating inundation maps. An approach for assessing the risk of flooding and proper management could help in mitigating the flood. The automated procedure for mapping and the details of the study can be used for planning flood disaster preparedness in the worst affected area.

     

Flood susceptibility modelling using advanced ensemble machine learning models

Floods are one of nature's most destructive disasters because of the immense damage to land, buildings, and human fatalities.It is difficult to forecast the areas that are vulnerable to flash flooding due to the dynamic and complex nature of the flash floods.Therefore, earlier identification of flash flood susceptible sites can be performed using advanced machine learning models for managing flood disasters.In this study, we applied and assessed two new hybrid ensemble models, namely Dagging and Random Subspace(RS) coupled with Artificial Neural Network(ANN), Random Forest(RF), and Support Vector Machine(SVM) which are the other three state-of-the-art machine learning models for modelling flood susceptibility maps at the Teesta River basin, the northern region of Bangladesh.The application of these models includes twelve flood influencing factors with 413 current and former flooding points, which were transferred in a GIS environment.The information gain ratio, the multicollinearity diagnostics tests were employed to determine the association between the occurrences and flood influential factors.For the validation and the comparison of these models, for the ability to predict the statistical appraisal measures such as Freidman, Wilcoxon signed-rank, and t-paired tests and Receiver Operating Characteristic Curve(ROC) were employed.The value of the Area Under the Curve(AUC) of ROC was above 0.80 for all models.For flood susceptibility modelling, the Dagging model performs superior, followed by RF,the ANN, the SVM, and the RS, then the several benchmark models.The approach and solution-oriented outcomes outlined in this paper will assist state and local authorities as well as policy makers in reducing flood-related threats and will also assist in the implementation of effective mitigation strategies to mitigate future damage.     

淮河干流洪水预报系统及其在1991年大洪水的应用

综述了淮河流域概况，淮河干流洪水预报系统物采用的预报方法。１９９１年淮河干流洪水预报采用了降雨径流预报与上，下游站相应流量预防方法相配合，并注重实时水情分析；在行洪区多，行洪后水面宽广而比降又极小的河段的汇流计算，采用了以实测洪水资料绘制的经验蓄曲线为充分发挥的湖泊洪水演算方法。     

Flood risk management,an approach to managing cross-border hazards

River flooding is a serious hazard in the UK with interest driven by recent widespread events. This paper reviews different approaches to flood risk management and the borders (physical, conceptual and organisational) that are involved. The paper showcases a multi-method approach to negotiating flood risk management interventions. We address three fundamental issues around flood risk management: differences and similarities between a variety of approaches; how different approaches work across borders between professionals, lay people, organisations and between different planning regimes; and, whether the science evidence base is adequate to support different types of flood risk management. We explore these issues through a case study on the River Tweed using Q methodology, community mapping and focus groups, participatory GIS, and interviews, which enabled co-production of knowledge around possible interventions to manage flooding. Our research demonstrated that excellent networks of practice exist to make decisions about flood risk management in the Scottish–English borders. Physical and organisational borders were continually traversed in practice. There was an overwhelming desire from professional flood managers and local communities for an alternative to simply structural methods of flood management. People were keen to make use of the ability of catchments to store water, even if land needed to be sacrificed to do so. There was no difference in the desire to embrace natural flood management approaches between people with different roles in flood management, expertise, training or based in different locations. Thus conceptual borders were also crossed effectively in practice.     

2012年洪水对黄河内蒙古段冲淤影响

2012年洪水是内蒙古河段1989年以来历时最长、洪峰流量最大的洪水过程。为了解粗泥沙对黄河内蒙古段河床冲淤变化的影响,依据宽河谷河段巴彦高勒、三湖河口和头道拐水文站实测资料,分析了内蒙古河道2012年洪水水沙特征,通过计算推移质输沙量和比较断面河底变化,探讨了粗泥沙对河底调整的影响。结果表明:2012年洪水造成粗泥沙在上游段冲刷、下游段淤积;固定低水位下过流断面存在涨冲落淤的规律;洪水过后,巴彦高勒和三湖河口低水位面积分别扩大了19 m2和29 m2,头道拐减小约100 m2。由于粗泥沙排沙不平衡,底部河床的真正高程并没有降低,防洪风险依然存在。     

Landslide susceptibility mapping based on GIS and information value model for the Chencang District of Baoji,China

The main objective of this study was to apply a statistical (information value) model using geographic information system (GIS) to the Chencang District of Baoji, China. Landslide locations within the study area were identified using reports and aerial photographs, and a field survey. A total of 120 landslides were mapped, of which 84 (70 %) were randomly selected for building the landslide susceptibility model. The remaining 36 (30 %) were used for model validation. We considered a total of 10 potential factors that predispose an area to a landslide for the landslide susceptibility mapping. These included slope degree, altitude, slope aspect, plan curvature, geomorphology, distance from faults, lithology, land use, mean annual rainfall, and peak ground acceleration. Following an analysis of these factors, a landslide susceptibility map was produced using the information value model with GIS. The resulting landslide susceptibility index was divided into five classes (very high, high, moderate, low, and very low) using the natural breaks method. The corresponding distribution area percentages were 29.22, 25.14, 15.66, 15.60, and 14.38 %, respectively. Finally, landslide locations were used to validate the results of the landslide susceptibility map using areas under the curve (AUC). The AUC plot showed that the susceptibility map had a success rate of 81.79 % and a prediction accuracy of 82.95 %. Based on the results of the AUC evaluation, the landslide susceptibility map produced using the information value model exhibited good performance.     

黄河上游靖远-景泰段全新世古洪水水文学

对黄河上游靖远景泰段峡谷进行系统野外考察,在靖远县金坪村(JPC)发现典型的全新世古洪水滞流沉积物。通过光释光(OSL)测年和与黄河吉县段FJJ剖面进行地层对比,确定这期特大古洪水事件发生在 3 200~3 000 a B.P.,即全新世中期晚期气候恶化转折阶段,对应着我国历史上商末至西周早期。采用古洪水水文学方法恢复古洪水洪峰水位,并且采用比降-面积法计算这一期多次古洪水事件的洪峰流量为 16 110~17 740 m³/s。同时,根据野外调查获得 2012年7月31日黄河上游大洪水的洪痕高程,采用相同参数和方法恢复其洪峰流量,误差仅有 2.7%,表明在该河段对于古洪水水文恢复计算参数选取和计算结果是可靠的。     

长江中下游江湖蓄泄关系实时评估数值模拟

以长江中下游防洪系统为对象,将面向长江中下游防洪规划论证需求的水沙数学模型转化为面向长江防洪系统防汛方案评估需求的长江中下游蓄泄关系实时评估数学模型.为适应实时蓄泄评估快速、准确的要求,提出了基于水动力学的循环滚动计算模式、实时校正模式和实时防洪调度的试验机制.实现了水文学实时校正方法与水动力学数学模型的耦合,建立了基于水动力学的实时校正模式.为了满足长江中下游江湖蓄泄关系实时评价的需求,探讨了洪水模拟与分蓄洪调度模式的耦合.通过长江中下游防汛期间的试运行,较好地解决了防洪措施蓄泄关系评估和工程优化调控模式等关键难题,为防洪规划方案的制定和实时洪水调度方案优化提供了定量的依据,主要成果已应用于长江中下游防洪规划和防汛调度方案中.     

Waterlogging and flood hazards vulnerability and risk assessment in Indo Gangetic plain

The recurrent flooding during monsoon and subsequent waterlogging in the northern Bihar plains and the magnitude of losses due to these hazards indicate the continuing vulnerability of the region to flood and waterlogging. Management of floods and waterlogging hazards in highly flood-prone regions of India, including Bihar state has been largely response oriented with little or no attention to mitigation and preparedness. This paper presents a method for spatial, Geographic Information Systems-based assessment of flood and waterlogging vulnerability and risk in northern Bihar plains. Multitemporal satellite data was used to evaluate the area statistics and dynamics of waterlogging over the period from 1975 to 2008. The flood proneness is evaluated at district level with reference to flood inundation during a period from 1998 to 2008. Census data were used to examine the socio-economic characteristics of the region through computation of population density, cultivators, agricultural labourers, sex ratio, children in age group 0–6 years and literates. The geohazard map derived by combining area prone to waterlogging and flood inundation was multiplied with socio-economic vulnerability map to derive the flood-waterlogging risk map of the region. The result shows that flood and water-logging pose highest risk to the central districts in the northern Bihar plains with 50.95% of the total area under high and very high risk.     

中国寒区水文学研究的新阶段 ——记我国杰出寒区水文学家叶柏生研究员的创新与贡献

我国杰出的寒区水文学家叶柏生研究员不幸因公殉职. 选取了叶柏生研究员若干代表性研究成果, 包括与他人的合作研究成果, 重点从冰川水文、 冻土水文和区域水文变化三方面总结了其对寒区水文学发展所做的创新与贡献. 文章列出了每项研究成果的核心内容, 并给予了简要评述. 所选成果中, 冰川水文方面研究涉及冰川对河川径流的调节作用、 冰川径流对气候变化的响应机理等; 冻土水文研究着重介绍了多年冻土变化对流域径流过程及其变化影响方面的系统性成果; 区域水文变化研究方面, 选取了降水观测误差修正、 气候变化对区域径流的影响等方面的创新成果. 这些研究成果极大地提高了我国在世界寒区水文学研究的地位, 对认识寒区水文过程及气候变化对水资源的影响具有重要科学意义.     

The Development and Application of a Flood Risk Model for the Czech Republic

A flood risk model was developed for the Czech Republic to calculate the probability of insured losses from flood events. The model was GIS based, making use of a 100 m horizontal resolution DTM and a network of the major rivers in the country. A review of historical flooding was undertaken to define the worst and most widespread flood events. Synthetic flood events were generated based on a study of the spatial variation in magnitude of river flows from selected historical flood events going back to 1935. A total of 30 synthetic events were generated each providing peak flows at 25 gauging stations throughout the country. The flows were converted into flood levels using rating equations based on information provided by the Czech Hydrological and Meteorological Institute. The extent of and depth of flooding was mapped on a cell by cell basis by applying an automated procedure developed using the grid option within the Arc/Info GIS. The flood depths were combined with maps of the postal codes to define an average flood depth per post code. The model was calibrated using maps of the observed flood extents from 1997 and 2002.     

Flood estimation in Mahanadi river system,India using partial duration series

Flood frequency analysis is a pre-requisite for setting up and safeguarding of many hydraulic structures, such as dams, barrages, check-dams, culverts and urban drainage systems. In the flood frequency analysis, partial duration series (PDS) may be considered when dealing with values exceeding certain limits causing floods. In fact, the PDS is capable of getting more information about extreme events than the annual maximum series (AMS). Additionally, an assumption that, the magnitude of the extreme events of a PDS is best described by a generalized Pareto (GP) distribution. The present work investigates the at-site flood frequency analysis to find the average number of peaks (λ) for modelling the PDS on the basis of the PDS/GP assumption and variability in the GP parameters coupled with the quantile estimation with an increase in the value of average number of peaks (λ) each year in the Mahanadi river system, Odisha, India. Also, to verify the PDS/GP assumption we tested seven different frequency distributions (Exponential, Gumbel, logistics, generalized extreme value (GEV), Lognormal (LN), generalized logistics (GL) and Pearson Type 3). Extensive daily discharge data collected from 23 gauging sites were used for the analysis. The results indicate precision and stability of GP distribution parameters for λ?=?4 for almost all the discharge sites. The peak flood estimated for various return periods in the Mahanadi river system using GP distribution is endowed with high correlation statistics for this λ value.     

Spatial variation in fluvial hydraulics with major bed erosion zone: a study of Kharsoti river of India in the post monsoon period

This study attempts to assess the spatial variation of fluvial hydraulics with special emphasis on hydrological components at upper, middle and lower part of the Kharsoti river basin. The study encompasses the scenario of a micro bedrock river of India in the post monsoon period. This paper includes the study of hydrological components such as discharge, velocity, shear stress, stream power, specific stream power, width-depth relation and roughness and its interrelationships with different parts of the river basin with related mathematical equations and identification of major river bed erosive zones coupled with geo-hydrological components with geological explanation. Kharsoti is a typical example of rejuvenated antecedent tributary river of Subarnarekha River basin in Chota Nagpur Plateau. It is necessary to give a new threshold to the quantitative methods regarding the fluvial hydraulic studies under a systematic scientific geographical and hydrological background. The results also involve some specific techniques, equations and GIS mapping. The result of this study will help to open the scenario of hydraulics of a micro river basin in a contemporary method.     

Effect of using multiple stream gauging stations on calibration of hydrologic parameters and estimation of hydrograph of ungauged neighboring basin

In this study, Hydrologic Engineering Center-Hydrologic Modeling System is used to simulate hydrologic processes in a watershed in Western Black Sea Region that frequently experiences flooding. The region is mountainous with steep hill slopes and receives high precipitation throughout the year. There are three stream gauging stations in the basin whose data are available for calibration and validation of hydrologic parameters. Simulations are performed for different scenarios to investigate the effect of using multiple stream gauging stations’ data on catchment wide calibration and validation of hydrologic parameters. Furthermore, performance of using calibrated internal stream gauging stations’ flow data in the estimation of hydrologic parameters in an assumed neighboring ungauged basin was assessed. It is found that using data of multiple stream gauging stations for calibration and validation gives satisfactory results for direct runoff hydrograph but the peak discharge predictions are not improved. The study results suggest that using data of internal stream gauging stations enables improved understanding of internal dynamics and transport in the basin and better predicted direct runoff hydrograph for the assumed neighboring ungauged basin.     

Larger floods of Himalayan foothill rivers sustained flows in the Ghaggar–Hakra channel during Harappan age

The human–landform interaction in the region of the Ghaggar–Hakra palaeochannel in the northwest Indo-Gangetic plains during the Bronze Age Indus/Harappan civilisation (~4.6–3.9 thousand years before the present, ka bp ) remains an enigmatic case due to a paucity of evidence regarding the hydrology of the then existing river. Here, we estimated the palaeohydrology of the foothill Markanda River in the sub-Himalayan catchment of the Ghaggar–Hakra (G–H) palaeochannel. Our morphology and chronology results show aggradation of a fan (57.7 ka) during the Late Pleistocene and T–1 to T–5 fluvial terraces (13.1 to 6.0 ka) during the terminal Pleistocene to Holocene, and deposition of palaeoflood sediments (3.9–3.8 ka) over the T–3 terraces during the Late Holocene. Considering the known uplift rates along the Himalayan frontal thrust, and our estimated aggradation rates, we derived channel palaeogeometry and calculated peak discharge at the site of palaeoflood deposits. We conclude that the Markanda River's peak discharge was several orders of magnitude higher during the Late Holocene than the modern-day peak discharge of 100-year return period. The palaeoflood deposits represent larger flooding of the foothill rivers that sustained flows in the downstream reaches of the Ghaggar–Hakra palaeochannel during the Late Harappan civilisation.     

Impact of forecasted land use changes on flood risk in the Polish Carpathians

Flooding is a major environmental hazard in Poland with risks that are likely to increase in the future. Land use and land cover (LULC) have a strong influencing on flood risk. In the Polish Carpathians, the two main projected land use change processes are forest expansion and urbanization. These processes have a contradictory impact on flood risk, which makes the future impact of LULC changes on flooding in the Carpathians hard to estimate. In this paper, we investigate the impact of the projected LULC changes on future flood risk in the Polish Carpathians for the test area of Ropa river basin. We used three models of spatially explicit future LULC scenarios for the year 2060. We conduct hydrological simulations for the current state and for the three projected land use scenarios (trend extrapolation, ‘liberalization’ and ‘self-sufficiency’). In addition, we calculated the amount of flood-related monetary losses, based on the current flood plain area and both actual and projected land use maps under each of the three scenarios. The results show that in the Ropa river, depending on scenario, either peak discharge decreases due to the forest expansion or the peak discharge remains constant—the impact of LULC changes on the hydrology of such mountainous basins is relatively low. However, the peak discharges are very diverse across sub-catchments within the modeling area. Despite the overall decrease of peak discharge, there are areas of flow increase and there is a substantial projected increase in flood-related monetary losses within the already flood-prone areas, related to the projected degree of urbanization.