Reconstruction of the chronology and characteristics of flood disasters in the Xiong'an New Area over the last 300 years

Hao, Zhixin; Xiong, Danyang; Ge, Quansheng

doi:10.1360/n972018-00068

Cited by 7 publications

(5 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…During flood years, the low-lying areas near rivers and lakes are prone to submersion, accounting for 20% to 30% of the total region. During severe flood years, except for the high-lying areas of Rongcheng County, approximately 80% of the area is inundated [15,16].…”

Section: Study Areamentioning

confidence: 99%

Changes in Population Exposure to Rainstorm Waterlogging for Different Return Periods in the Xiong’an New Area, China

Chen,

Wang,

Chen

et al. 2024

Water

View full text Add to dashboard Cite

In the context of global climate change and urban expansion, urban residents are encountering greater rainstorm waterlogging risk. Quantifying population exposure to rainstorms is an important component of rainstorm waterlogging risk assessments. This study utilized a two-dimensional hydrodynamic model to simulate the inundation water depth and inundation area resulting from rainstorms, with return periods of 5, 10, 50, and 100 years, in the Xiong’an New Area, and overlaid the gridded population data in 2017 and in 2035 under SSP2 to assess the change in population exposure. The results show that the average inundation depth and area increase were from 0.11 m and 207.9 km2 to 0.18 m and 667.2 km2 as the rainstorm return period increased from once in 5 years to once in 100 years. The greatest water depths in the main urban areas were mainly located in the low-lying areas along the Daqing River. The total population exposed to rainstorm waterlogging for the 5-, 10-, 50-, and 100-year return periods was 0.31, 0.37, 0.50, and 0.53 million, respectively, in 2017. However, this is projected to rise significantly by 2035 under SSP2, increasing 2–4-fold compared with that in 2017 for the four return periods. Specifically, the projected population exposure is expected to be 0.7, 1.0, 1.8, and 2.0 million, respectively. The longer the return period, the greater the increase in population exposure. The proportion of the population exposed at the 0.05–0.2 m water depth to the total population exposure decreases as the return periods increases, whereas the proportion changes in the opposite direction at the 0.2–0.6 m and >0.6 m depth intervals. Spatially, high-exposure areas are concentrated in densely populated main urban regions in the Xiong’an New Area. In the future, more attention should be paid to densely populated low-lying areas and extreme recurrence rainstorm events for urban flood-risk management to ensure population safety and sustainable urban development.

show abstract

Section: Study Areamentioning

confidence: 99%

Changes in Population Exposure to Rainstorm Waterlogging for Different Return Periods in the Xiong’an New Area, China

Chen,

Wang,

Chen

et al. 2024

Water

View full text Add to dashboard Cite

show abstract

“…The severity of floods and droughts in historical materials is generally reflected by the description of disaster scenes. For example, the severity of the disaster where 'water was everywhere, and the crops were floating', is greater than the one where 'the low fields were flooded, while the high fields survived' (Hao et al, 2018a). Besides, more detailed descriptions of disasters in D3 and D4 were used to verify severities.…”

Section: Rain and Water Regimen And Disasters Compared With Those In ...mentioning

confidence: 99%

“…Historical records relating to climate have been widely used in research on the historical climate in the MLYR in China. For instance, using records in Yu-Xue-Fen-Cun documents, Ge et al (2008) and Hao et al (2018b) reconstructed the annual amount of Meiyu precipitation in the MLYR from 1736 to 1910, and found that the precipitation of Meiyu in the MLYR area in 1849 was 376 mm, which was 166.37% of the average 226 mm during 1736-1911. Meanwhile, Hao et al (2011 clarified the spatiotemporal distribution of 25 extreme snow events in South China from the last 500 years.…”

Section: Introductionmentioning

confidence: 99%

Flood disasters and social resilience during the decline of the Qing Dynasty: Case studies of 1823 and 1849

Hao

Xiong

Zheng

2021

Hydrological Processes

Self Cite

View full text Add to dashboard Cite

Based on historical records and crop harvest scores extracted from historical documents, this study reconstructed the spatial-temporal distribution and severities of floods in the Yangtze-Huai River valley (YHRV) in 1823 and 1849. We also summarized the effects of the floods on society and identified government measures taken to cope with the floods in the context of the economic recession in the period of 1801-1850. The 1823 flood, which was caused by the heavy precipitation of the Meiyu period and typhoons, severely affected areas in the lower reaches of the Yangtze River. Meanwhile, the 1849 flood, triggered by long-term, high-intensity Meiyu precipitation in the middle and lower reaches of the Yangtze River, mainly affected areas along the Yangtze River. The 1849 disaster was more serious than the one in 1823. In the lower reaches of the Yangtze River, the 1849 flood caused the worst agricultural failure of the period 1730-1852. To deal with the disasters, the Qing government took relief measures, such as exempting taxes in the affected areas, distributing grain stored in warehouses, and transferring grain to severely afflicted areas. These relief measures were supplemented by auxiliary measures, such as exempting commodity taxes on grain shipped to disaster areas and punishing officials who failed to provide adequate disaster relief. The flood disasters disrupted the water system of the Grand Canal and forced the Qing government to transport Cao rice by sea beginning in 1826. This laid the groundwork for the rise of coastal shipping in modern China. With the economic recession of the 19th century, Chinese society was not as resilient to floods as it was in the 18th century. Compared to droughts, floods are more difficult to deal with and pose greater threats to infrastructure and normal life and work in the cities.

show abstract

“…With a complex river network, Xiong'an New Area is highly susceptible to river flooding in the upstream tributaries in response to rainstorms. Studies have shown that a total of 139 flood disasters occurred in Xiong'an New Area in the 300 years from 1715 to 2016, with an average occurrence of once every 2 to 3 years, causing serious socioeconomic losses to Xiong'an New Area [19][20][21][22][23]. To this end, this study selects the largest tributary of the South Branch water system upstream of Xiong'an New Area, the Zhulong River, as the study area, and builds an impact-based flood warning based on critical areal rainfall from daily meteorological and water flow observational data from 1961 to 2017, by considering the severity of the impact caused by floods on socioeconomics.…”

Section: Introductionmentioning

confidence: 99%

Impact-Based Critical Areal Rainfall for Early Flood Warning: A Case Study of Zhulong River Watershed in the Upper Reaches of the Xiong’an New Area

Zhao

Chen

et al. 2023

Atmosphere

View full text Add to dashboard Cite

In this work, the largest tributary of the South Branch in the upper reaches of the Xiong’an New Area is selected as the study area. The impact-based critical areal rainfall indices for early flood warnings are proposed from the perspective of the impacts of floods on socio-economic factors. Specifically, four steps, including the determination of the damage-causing discharges, the establishment of the rainfall–discharge relationship, the computation of the critical areal rainfall and the validation of the early warning indices, were used to determine the critical areal rainfall for early flood warnings in the watershed. The results showed that the 1-day critical areal rainfall amounts were 31 mm, 63 mm, 92 mm and 160 mm for early flood warning levels 4, 3, 2 and 1, respectively, when the 1-day antecedent areal rainfall was ≤10 mm. The critical areal rainfall amounts were 20 mm, 54 mm, 87 mm and 160 mm for early flood warning levels 4, 3, 2 and 1, respectively, when the 1-day antecedent areal rainfall was >10 mm. The early warning effectiveness of the proposed critical indices was validated with historical catastrophic flood events and precipitation data during recent flood seasons. The results demonstrated that the impact-based critical indices had a high accuracy and could release warnings 1–2 days in advance, which could effectively avoid the occurrence of missed and underestimated warnings.

show abstract

Reconstruction of the chronology and characteristics of flood disasters in the Xiong'an New Area over the last 300 years

Cited by 7 publications

References 3 publications

Changes in Population Exposure to Rainstorm Waterlogging for Different Return Periods in the Xiong’an New Area, China

Changes in Population Exposure to Rainstorm Waterlogging for Different Return Periods in the Xiong’an New Area, China

Flood disasters and social resilience during the decline of the Qing Dynasty: Case studies of 1823 and 1849

Impact-Based Critical Areal Rainfall for Early Flood Warning: A Case Study of Zhulong River Watershed in the Upper Reaches of the Xiong’an New Area

Contact Info

Product

Resources

About