Flood Storage Area Research Articles

Variable target water level control method in front of sluice in flood storage area based on storage balance model

Abstract To prevent the increase in flood disaster frequency, scale, and impact degree, a flood control engineering system with flood storage and detention areas, embankments, and reservoirs as the main body has been formed. Flood storage area is the key to the flood control engineering system, and its water level control performance is directly related to the success of flood control. According to the actual situation, the flood evolution simulation model in the flood storage area is constructed to obtain the evolution information of any unit of flood in the flood storage area. The dynamic control judgment coefficient of the water level is calculated, and the dynamic control program of the variable target water level in front of the sluice is formulated. Water level control can be realized by executing the established procedures. The above experimental data show that the proposed method can effectively control the water level in the flood storage area within the range of 26.03m ∼ 29.12m, and the minimum value of the corresponding risk rate is 3%, which fully proves that the proposed method has better dynamic control effect on the variable target water level in front of the sluice.

Prediction of Adaptability of Typical Vegetation Species in Flood Storage Areas under Future Climate Change: A Case in Hongze Lake FDZ, China

China experiences frequent heavy rainfall and flooding events, which have particularly increased in recent years. As flood storage zones (FDZs) play an important role in reducing disaster losses, their ecological restoration has been receiving widespread attention. Hongze Lake is an important flood discharge area in the Huaihe River Basin of China. Previous studies have preliminarily analyzed the protection of vegetation zones in the FDZ of this lake, but the future growth trend of typical vegetation in the area has not been considered as a basis for the precise protection of vegetation diversity and introductory cultivation of suitable species in the area. Taking the FDZ of Hongze Lake as an example, this study investigated the change trend of the suitability of typical vegetation species in the Hongze Lake FDZ based on future climate change and the distribution pattern of the suitable areas. To this end, the distribution of potentially suitable habitats of 20 typical vegetation species in the 2040s was predicted under the SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 climate scenarios using the latest Coupled Model Intercomparison Project CMIP6. The predicted distribution was compared with the current distribution of potentially suitable habitats. The results showed that the model integrating high-performance random forest, generalized linear model, boosted tree model, flexible discriminant analysis model, and generalized additive model had significantly higher TSS and AUC values than the individual models, and could effectively improve model accuracy. The high sensitivity of these 20 typical vegetation species to temperature and rainfall related factors reflects the climatic characteristics of the study area at the junction of subtropical monsoon climate and temperate monsoon climate. Under future climate scenarios, with reference to the current scenario of the 20 typical species, the suitability for Nelumbo nucifera Gaertn decreased, that for Iris pseudacorus L. increased in the western part of the study area but decreased in the eastern wetland and floodplain, and the suitability of the remaining 18 species increased. This study identified the trend of potential suitable habitat distribution and the shift in the suitability of various typical vegetation species in the floodplain of Hongze Lake. The findings are important for the future enhancement of vegetation habitat conservation and suitable planting in the study area, and have implications for the restoration and conservation of vegetation diversity in most typical floodplain areas.

Flood Modeling in a Composite System Consisting of River Channels, Flood Storage Areas, Floodplain Areas, Polder Areas, and Flood-Control-Protected Areas

The Linhuaigang flood control project (LFCP), situated on the Huaihe River, China, uses the river channels upstream of the LFCP, together with the hinterland areas outside the channels, to retain and store fluvial floodwaters that exceed the downstream channel’s discharge capacity. The hinterland areas are split into seven flood storage areas, three floodplain areas, eight polder areas, and three flood-control-protected areas, and they are connected to the river in various ways. A coupled hydrodynamic model was established to simulate the hydrodynamic and water volume exchange between the river channels and the hinterland areas. The flood storage area, under the control of a flood diversion sluice, was simulated with a 2D hydrodynamic model, and the inflow process initiated by the flood diversion sluice was simulated as a control structure. The polder area was generalized as a reservoir that would be filled in several hours once put into use because of its small size. The uncontrolled inflow process between the flood-control-protected areas and the channel was simulated by means of a dam break model, which could simulate levee breaching. The flooding within the flood-control-protected area, which represents a vast space, was simulated with a 2D hydrodynamic model. The floodplain area was laterally connected to the river channel along the river levee. The difference between the simulated and the measured flood peak water stage did not exceed 0.2 m in 2003 and 2007, indicating that the accuracy of the model was relatively high. In the scenario of a design flood with a return period of 100 years, the flood storage areas and the LFCP were used in the following order: Mengwa, Qiujiahu, Nanrunduan, Shouxihu, Jiangtanghu, Chengxihu, Chengdonghu, and the LFCP. When the Huaihe River encounters a flood with a return period of 1000 years that exceeds the design standard, the highest water stage upstream of the LFCP and Zhengyangguan shall not exceed 29.30 m and 27.96 m after the use of all the flood storage areas, floodplain areas, and flood-control-protected areas. The results of this research can provide technical support for the flood risk management of the LFCP.

Investigating Flood Characteristics and Mitigation Measures in Plain-Type River-Connected Lakes: A Case Study of Poyang Lake

The flow of plain-type river-connected lakes is affected by both upstream and downstream rivers, and the hydrological conditions are very complex. Poyang Lake, situated in Jiangxi Province, is the largest river-connected lake in the Yangtze River Basin. Its unique geographical features and complex hydrological conditions have made it a heavy disaster area and a frequent area of floods since ancient times. As typical mitigation measures of Poyang Lake, semi-restoration polder areas and flood storage and detention areas play a crucial role in the flood control of Poyang Lake. Taking Poyang Lake as an example, this article studies the flood characteristics of Poyang Lake based on the measured hydrological data. Furthermore, by using the weir (gate) outflow formula to construct the hydraulic model of semi-restoration polder areas and DHI MIKE to construct the hydrodynamic model of Kangshan flood storage and detention area, the flood diversion capacity of the two, and the flood diversion effect under the super-historical flood in 2020 are analyzed. The results show that compared with the non-use of mitigation measures, the maximum cumulative reduction in Xingzi water level can be reduced by 0.68 m and 0.48 m when semi-restoration polder areas and Kangshan flood storage and detention areas are used alone. Finally, the article puts forward some thoughts and suggestions on the flood control of Poyang Lake. The research results can offer some reference to the flood risk management of plain-type river-connected lakes.

Assessment of village resilience in flood storage areas based on complex networks: From the perspective of safety and low-carbon development

This study has built a modified gravity model to quantify the connection strength between villages, and complex networks were used to analyze and deconstruct the resilience characteristics of network structure and simulated resilience change characteristics under different scenarios including climate change, and identified the network core of the villages. The improvement of the resilience levels of rural systems under changing environments is an important sustainable development. The objective of this study is to provide a basis for the construction of rural emergency disaster prevention in flood storage areas and provide a reference for sustainable rural low-carbon development of village system. The results show that (1) from the perspective of spatial patterns of rural networks, there are obvious spatial differences in Mengwa rural network, showing a spindle-shaped spatial structure with dense middle and sparse on both sides. (2) From the perspective of structural resilience characteristics, the network has significant hierarchy and agglomeration, high local transmission and no obvious characteristics of homogeneity or heterogeneity. Amongst them, the core node has a prominent position, strong control ability and significant correlation effect. (3) The results of scenario simulations on rural network resilience show deliberate disturbance can significantly reduce network resilience compared with random disturbance. A large number of high-energy consumption and low-efficiency phenomena occur earlier in the network, leading to the collapse of the network.

Dynamic and loss analysis of flood inundation in the floodplain area of the lower Yellow River considering ecological impact

The floodplain area in the lower Yellow River plays the function of flood detention and undertakes the production and living functions of residents. Because the Yellow River basin is one of the most serious flooding areas in China, the Yellow River seriously threatens the safety of people’s lives and property and social stability and development in the floodplain area. It is significant to carry out flood inundation dynamic analysis and flood loss assessment in the lower Yellow River. Taking the zonal flood detention of the Jiahetan-Gaocun section as an example, a two-dimensional flow mathematical model is established by using MIKE 21. Through the numerical simulation of flood routing during the flood detention operation, the flood detention effect of the floodplain area is analysed, and the flood inundation dynamic analysis and flood inundation loss evaluation are carried out. The results show that the maximum absolute error of water level calculated by the model in the measuring station is only 0.77 m. So, it is reliable to use MIKE 21 to simulate the flood process and flood diversion in the lower Yellow River. The flood with a peak discharge of 4000 m3/s and 7000 m3/s basically reaches the maximum submerged area after 100 h, with the maximum submerged areas of 173.72 km2 and 323.47 km2, respectively. Autumn grain, as the main source of income for floodplain residents, is severely lost in shallow water depth, so they are severely lost in both floods. Therefore, when opening a floodplain as a flood storage and detention area, it is important to consider their loss. The flood simulation analysis results and flood inundation loss evaluation results can provide a scientific basis for the rational utilization of flood storage and detention areas in the lower Yellow River.

A comparative study of different deep learning models for land use and land cover mapping of flood detention basin

Flood detention basin (FDB) is an important part of the flood control system in the basin. It is of great significance for scientific flood control to obtain the land use and land cover (LULC) classification map of FDB with higher accuracy quickly and accurately. In recent years, deep learning has shown great potential in LULC classification. In this study, we make LULC training dataset and explore three state-of-the-art (SOTA) DL architectures: Unet++, ResUnet++, DeepLab v3+ across Mengwa FDB. The experiments show all methods used in this study are available for LULC classification, which overall accuracy is ResUnet++(95.11%), Unet++(91.92%), DeepLab v3+ (91.04%) and kappa coefficient is ResUnet++(0.91), Unet++(0.85), DeepLab v3+ (0.83). Deep learning methods can be used for automatic extraction of LULC from high-resolution satellite images, providing data support for economic loss assessment and post disaster construction in flood storage areas.

Optimization of a flood diversion gate scheme in flood storage and detention areas based on flood numerical simulation

Flood storage and detention areas are an important aspect of the river flood control system and an effective measure to ensure flood control safety and mitigate disasters in key areas. Using the flood storage and detention area of DaHuangPuWa as an example, the flood diversion evolution of different positions on the Jinbao highway was simulated numerically. The water level, velocity, and flow rate of each observation point during the 100-year flood were calculated. After comprehensive analysis, it is determined that the location of the diversion gate in the flood storage and detention area is better at the diversion gate of Liuwanzhuang. The results of this paper show that the numerical simulation method can provide more scientific and reasonable theoretical support for the design of flood diversion gates in flood storage and detention areas.

Quantitative contribution of climate change and anthropological activities to vegetation carbon storage in the Dongting Lake basin in the last two decades

The Dongting Lake Basin is an important hydrological regulation and flood storage area in the Yangtze River Basin, which plays an important role in maintaining regional ecological security. The watershed vegetation and its carbon sequestration capacity have changed dramatically due to climate change and human activities in the last two decades. In this paper, the monthly and annual vegetation net primary productivity (NPP) of the Dongting Lake basin during 2000 to 2020 was firstly estimated using the improved Carnegie-Ames-Stanford Approach (CASA) model. Then the multi-year NPP change trend and its significance were analyzed based on Theil-Sen median and Mann-Kendall method. Subsequently, the Hurst index was used to simulate the vegetation NPP persistence in the study area. Finally, the driving mechanisms of vegetation NPP changes in the study area were explored using partial correlation coefficients and residual analysis. The results demonstrated that: 1) The annual average NPP in the basin showed a fluctuating and increasing trend from 273.54 to 718.30 g C/m2·yr1 during 2000 to 2020, and except for autumn, all seasons (spring, summer, winter) and annual NPP series showed an upward trend. The spatial distribution of vegetation NPP is characterized by an asymmetrical horseshoe shape in general, with high values in the west, south and east parts, and low values in the Lake area; 2) During the study years, about 84.38 % of the basin area showed a significant and extremely significant increase of NPP; 3) The future trend of vegetation NPP in the basin shows that the area of decrease (22.79 %) is more than the area of increase (11.35 %). The Chang-Zhu-Tan urban agglomeration will generally show a continuous and extremely significant reduction trend, while parts of Dongting Lake will show a continuous and extremely significant increase trend; 4) The correlation between solar radiation and NPP is stronger than the other two meteorological factors (precipitation and temperature). Temperature has a significant inhibitory effect on NPP, solar radiation has a significant promoting effect on NPP, and the effect of precipitation on NPP was relatively complicated. The relative importance of meteorological factors on vegetation NPP was ranked as follows: solar radiation > precipitation > temperature. The impacts of both climate change and human activities on NPP changes showed great spatial variability, and the positive contributions (89.81 % for climate change and 82.87 % for human activities) were both greater than the negative contributions.

Assessment of Public Flood Risk Perception and Influencing Factors: An Example of Jiaozuo City, China

There are many studies showing that public flood risk perception may promote people’s motivation to reduce flood risk and enhance their coping behavior, thus providing useful insights for flood risk management. The purpose of this article is to estimate residents’ flood risk perception in Jiaozuo City and to identify the influencing factors. A questionnaire survey method was used to collect data and a composite index was constructed to measure public risk perception. Each respondent’s grade of flood risk perception was calculated using the relationship between the standard deviation (SD) and the mean value (MV) of flood risk perception index (RPI) scores. Moreover, the hypotheses concerning different groups were tested using an independent sample T-test and one-way ANOVA (analysis of variance), and the group differences in flood risk perception on each observed dependent variable were explored using post hoc tests. The flood risk perception of the total respondents was divided into three levels based on the SD and MV of RPI scores: low (68.4%), moderate (13.7%), and high (17.9%). Respondents with low education, low income, less flood experiences, and who have married, lived in rural areas or near rivers/reservoirs had a higher flood risk perception than others, and respondents who lived in flood storage areas had a lower risk perception. Moreover, the ability to mitigate floods and the trust in flood-control projects were negatively related to the flood risk perception.

Perry Bar & Witton FRMS: Forge Mill flood storage area – lessons learnt

The Perry Barr and Witton Flood Risk Management Scheme in Birmingham protects over 1300 properties from a 1% annual exceedance probability flood event. A key component of the scheme is the Forge Mill flood storage area. Construction started in 2018 with the preliminary certificate signed off in spring 2022. This paper will discuss the project and share lessons learnt from the construction phase. The lessons learnt cover a variety of areas including programme considerations, use of erosion protection matting, trash screen management and use of three-dimensional models in construction.

Perry Bar & Witton FRMS: Forge Mill Flood Storage Area – Lessons Learnt

The Perry Barr and Witton Flood Risk Management Scheme in Birmingham protects over 1,300 properties from a 1% Annual Exceedance Probability flood event. A key component of the scheme is the Forge Mill flood storage area. Construction started in 2018 with the Preliminary Certificate signed off in spring 2022. This paper will discuss the project and share lessons learnt from the construction phase. The lessons learnt cover a variety of areas including programme considerations, use of erosion protection matting, trash screen management and use of 3D models in construction.

Export and risk from antibiotic remobilization from surrounding water to lake in the extreme 2020 Yangtze River basin flooding

Global climate change increased the frequency of extreme rainfall events, leading to higher flood risk. In addition to the personal and property losses, another important consequence of a flood disaster was release and exposure risks from emerging contaminants, which was usually overlooked. The remobilization and fate of the antibiotics induced by floods remain unclear. We captured antibiotic concentrations around the Chaohu Lake after an unprecedented flood with a range of 5.0–317 ng/L. Higher concentrations in polder waters than their receiving rivers were attributed to the antibiotic release from soil particles and the sharp increase of water: soil ratio by flood storage. Source apportionment analysis of antibiotics implied that diffuse pollution by manure application and aquaculture activity was the predominant sources. Commonalities of spatial variations of antibiotics in polders were related to the condition of waterlogging and pollution source. The total antibiotic storage for all submerged polders was estimated at 27.9 kg. The concentrations and risks from pumping floodwater detained by polders into the lake were much higher than that from discharging flood directly into the lake. The retention-reaction-remobilization process would pose unexpectedly high risks for the lake. This study provided a new sight for constructing ecological wetland flood storage areas.

Abnormal fluctuation of water level in the Chenglingji reach of the middle Yangtze River during flood seasons, 2016-2020: Influencing factors and filtering correction

长江经济带的人口和经济总量均超过全国的40%，长江中游城市群受地理位置与水文条件的综合影响更易遭受洪涝灾害的威胁.莲花塘水位站作为长江中游城陵矶河段蓄滞洪区启用指标控制站，当三峡水库水位达155.0 m后，如莲花塘站水位达到34.40 m并继续上涨，则城陵矶附近区蓄滞洪区需采取分洪措施.然而受河流形态和江湖关系（长江与洞庭湖）的双重影响，莲花塘水位站水位呈现出潮汐式不规则周期性波动变化（俗称假潮），给蓄滞洪区启用等工作带来一定决策困扰.为了研究洞庭湖出口长江城陵矶河段高水期洪水位波动现象相关因子和水位滤波方法，本文对莲花塘水位站近5年18个月（2016年6-8月、2017年7-10月、2018年5-8月、2019年6-8月、2020年6-9月）5 min水位自记数据进行分析，首先明确了单日水位波动值D>0.05 m为发生假潮现象的判别标准；通过二元Logistic回归分析表明，在监利站高水位（Z_j ≥ 34.00 m）期间，当监利至莲花塘水位落差（ΔZ_jl）大于2.75 m时，假潮发生比例为100%，模型预测结果综合百分比校正值为96.4%，表明ΔZ_jl为发生假潮的主要影响因子；然后通过快速傅里叶变换法、局部加权回归算法两种数据滤波方法对水位波动序列进行处理，研究表明，两种方法均适用于不同振幅的波形态数据分析，不受短时间数据丢失影响，不受水位瞬时值的影响，具有较大的应用价值；从误差值的波动情况来看，局部加权回归算法误差值波动更小，更适用于对波动水位数据的处理.;The Yangtze economic belt accounts for more than 40% of China's total populaton and economy, and the urban agglomeration in the middle reaches of the Yangtze River is more vulnerable to the threat of flood disasters due to the comprehensive influence of geographical location and hydrological conditions. The water level of the Lianhuatang station is served as the index control station of the flood storage and detention area in the middle reaches of the Yangtze River. When the water level of the Three Gorges Reservoir reaches 155.0 m, if the water level of the Lianhuatang station reaches 34.40 m and continues to rise, flood diversion measures should be taken in the flood storage and detention area near Chenglingji. While under the dual influence of the river form and the relationship between the river and the lake (the Yangtze River and Lake Dongting), the water level of the Lianhuatang station presents tidal irregular periodic fluctuation (commonly known as false tide), which brings decision-making difficulties to the flood storage and detention area. To study the related factors of flood level fluctuation phenomenon and water level filtering method in the Chenglingji reach of the Yangtze River at the outlet of Lake Dongting, this paper analyzed the self-recorded water level data of Lianhuatang water station in the last 5 years and 18 months (June-August 2016, July-October 2017, May-August 2018, June-August 2019, and June-September 2020). Firstly, the single-day water level fluctuation value D>0.05 m is defined as the criterion for the occurrence of false tide. And the Binary Logistic regression analysis showed that during the period of high water level (Z_j ≥ 34.00 m) at Jianli station, when the water level drop from Jianli to Lianhuatang (ΔZ_jl) is greater than 2.75 m, the proportion of false tide is 100%. The comprehensive correction value of model prediction results was 96.4%, indicating that ΔZ_jl was the main factor influencing the false tide. Then, two data filtering methods, fast fourier transform and local regression, are used to process the water level fluctuation sequence, which shows that both of the two methods are applicable to the analysis of wave shape data with different amplitudes, and are not affected by short-term data loss and instantaneous water level value, which may have great application value. From the perspective of the fluctuation of the error value, the locally weighted regression algorithm has a smaller fluctuation of the error value and is more suitable for the processing of the fluctuating water level data.

Study on flood control projects joint flood control operation of The Daqing river basin

Baiyangdian Lake is an important pivotal project in the Daqing River Basin. The research on the joint flood control operation of water projects in the Daqing River Basin seems particularly important as higher requirements have been set for the flood control in the basin based on the construction of the Xiong’an New Area. In this paper, a joint flood control operation model was set up and solved with the joint flood control operation objective of minimizing the highest water level of Baiyangdian Lake. A study on the joint flood control operation under different flood conditions was carried out under the premise of ensuring the safety of reservoir projects. The optimal operation can ensure that the Wen’anwa flood storage and detention area will not be opened in the event of a hundred-year flood, reduce the highest water level of Baiyangdian Lake to a certain extent, effectively alleviate the pressure on the flood control of dikes and Baiyangdian Lake and provide support for guaranteeing the flood control safety of the Xiong’an New Area.

Analysis on historical flood and countermeasures in prevention and control of flood in Daqing River Basin

The Daqing River Basin has long been seriously threatened by floods. The construction of Xiong'an New Area has put forward higher requirements for the flood control system of the basin. Researches on the characteristics of the flood control system in the Daqing River Basin, the causes of the flood and the historical flood were conducted with the purpose to have a clear understanding of the deficiency of the existing flood control system in the Drainage Basin and figure out the countermeasures to improve the flood control capacity of the Drainage Basin by taking the development process of the flood control system in the Drainage Basin into consideration. Analysis was conducted on the causes, flood process, the process of regulation and storage of reservoirs and depressions as well as flood disaster with the flood occurred in August 1963 as the major research object. Besides, the deficiency of flood control system of the Drainage Basin in terms of flood control system and the flood occurred in August 1963 (also called 63.8 Flood). According to the research, the major problems in the current flood control system of the Daqing River Basin are mainly concentrated on Baiyang Lake with blocked internal water transmission and insufficient drainage capacity, which makes it difficult to cope with the flood exceeding the designed level. The great change of water level will also destroy the ecological balance of Baiyang Lake itself. In addition, during the construction of the New District, some flood storage and detention areas in Baiyang Lake will be deprived of the capability in regulation and storage, which will increase the difficulty of flood control in the downstream areas. Combined with the existing flood control system and aiming at the construction of Xiong'an New Area, the concepts of flood control system such as developing the Xiaoguan flood diversion way, rebuilding the new housing hub and strengthening the dredging of downstream river are put forward.

Optimal Operation of Complex Flood Control System Composed of Cascade Reservoirs, Navigation-Power Junctions, and Flood Storage Areas

As more and more water projects are built on rivers, the flood control operation becomes more complex. Studies on the optimal flood control operation are very important to safeguard human life and property. This study focused on optimizing the operation of a complex flood control system composed of cascade reservoirs, navigation-power junctions, flood storage areas, and flood control points. An optimal model was established to jointly maximize flood peak reduction rates of downstream flood control points. A hybrid algorithm named the Dynamic Programming-Progressive Optimality Algorithm (DP-POA) was used to solve this model, and the middle and lower reaches of the Ganjiang River were selected as a case study. The results show that flood reduction at three downstream flood control points ranged from 1080 to 5359 m3/s for designed floods with different return periods, which increased by about 333~1498 m3/s in comparison with the conventional operation. Considering that the maximum water level of reservoirs using DP-POA and the conventional operation is the same, this indicated that DP-POA can make full use of the reservoirs’ flood control storage to reduce downstream flood peaks. In addition, the flood diversion volume of the flood storage area using DP-POA ranged from 0.33 × 108 to 1.79 × 108 m3 for designed floods with 200-year, 300-year, and 500-year return periods, which is smaller than that using the conventional operation.

Micro-scale Flood Hazard Assessment Based on Catastrophe Theory and an Integrated 2-D Hydraulic Model: A Case Study of Gongshuangcha Detention Basin in Dongting Lake Area, China

Assessments of urban flood hazards are crucial for planning and early warning flood system design. Moreover, hazard risk assessment is useful for emergency planning and insurance. There are two common methods for conducting flood hazard risk assessments (FHRA): those based on physical models and those based on parameters. Although physical models are able to simulate flood propagation processes accurately, they also have obvious shortcomings. Parameter-based FHRAs are more comprehensive because they emphasize the analysis of hazard factors. However, this approach also has various flaws, including its qualitative, macro-scale and high subjective nature. In this study, the strengths of both methods were combined to develop a new micro-scale FHRA. Taking the FHRA of the flood storage and detention area of Dongting Lake as an example, this study used high-precision digital elevation model (DEM) data generated from an airborne light detection and ranging (LiDAR) point cloud to construct a two-dimensional (2-D) flood propagation model. Micro-scale FHRAs were then performed using eight selected FHR indicators based on catastrophe theory. By automatically calculating the FHR value of each assessment unit based on hierarchical recursion, the catastrophe theory and catastrophe progression method effectively avoided uncertainty in weight assignment, which is an issue commonly faced by parameter-based methods. The FHRA results obtained under 144 different sequences of assessment indicators also show that the proposed method has a low sensitivity to the ranking of FHR indicators, as well as a high fault tolerance for different assessment results arising from subjective rankings by humans.

To move or not to move: How farmers now living in flood storage areas of China decide whether to move out or to stay put

AbstractThe living and production of large populations in flood storage areas (FSAs) is a common phenomenon in China. Such a situation inevitably produces a contradiction between flood potential and development, which may be solved by resettlement. Resettlement in FSAs with Chinese characteristics is an important means of flood risk management by the government. Based on a questionnaire survey, this paper analyses the factors influencing the resettlement decision‐making process of farmer households' in FSAs using a logistic regression. The findings suggest that the location of the resettlement, resettlement subsidies, and rationality of the subsidy policy have the most significant positive effect. The government should take measures to encourage farmers to resettle, so as to accelerate resettlement progress.

基于HEC-RAS的胖头泡蓄滞洪区洪水模拟与灾损评估

基于HEC-RAS的胖头泡蓄滞洪区洪水模拟与灾损评估