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

Deng, Shupan; Wu, Qiuqin; Wang, Zhichao; Wu, Longhua; Huang, Zhiwen; Zhang, Guangming

doi:10.3390/w16020281

Cited by 1 publication

(5 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Poyang Lake plays a significant role in regulating and maintaining floods within the watershed. However, its regulation and storage capacity significantly decrease when floods from the Yangtze River and Poyang Lake converge [16,25]. This study indicates that, if the lake is affected by the backwater effect before the arrival of a flood peak within the watershed, it can lead to a rapid rise in the water level, reducing the duration of the flood peak's stay in the lake.…”

Section: Propagation Characteristics Of Floods From the "Five Rivers"...mentioning

confidence: 86%

“…To effectively respond to major floods, 4 flood diversion areas and 229 single-retreat embankments have been established around Poyang Lake, capable of storing 2.5 billion cubic meters and 2.6 billion cubic meters of floodwater, respectively. Currently, the water level at hydrological stations near the flood diversion areas is used as the boundary condition for flood diversion calculations [16,40] to analyze the effectiveness of flood diversion. However, this study finds that when the river-lake backwater effect strength (f) is below four, the overall water surface drop (dz) of the lake can reach 0.28 m (Figure 9).…”

Section: Limitations and Applicationsmentioning

confidence: 99%

“…For a long time, scholars have been committed to studying the flood characteristics of and risk management in large plain lake areas to reduce flood losses in these regions [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28]. For instance, K. Söderholm et al [13] improved regional flood risk management by developing and applying the Watershed Simulation and Forecasting System (WSFS).…”

Section: Introductionmentioning

confidence: 99%

“…To determine water level changes in Amazon floodplain lakes, Douglas E. Alsdorf et al [15] employed interferometric radar measurements for water level monitoring. Deng et al [16] established a model to analyze the application strategies and flood diversion effects of flood diversion areas and single-withdrawal dikes around Poyang Currently, 23% of the global population is under threat of experiencing flooding, with China being at the top of the list with 395 million people at risk [11]. The Poyang Lake region is one of the hardest-hit areas.…”

Section: Introductionmentioning

confidence: 99%

“…To determine water level changes in Amazon floodplain lakes, Douglas E. Alsdorf et al [15] employed interferometric radar measurements for water level monitoring. Deng et al [16] established a model to analyze the application strategies and flood diversion effects of flood diversion areas and single-withdrawal dikes around Poyang Lake, proposing corresponding optimized scheduling measures. To more accurately simulate and predict floods in Poyang Lake, experts have utilized various technical methods, including the water level-storage capacity curve and water balance method [17], hydrological models [18,19], hydrodynamic models [12,15], and machine learning models [20,21].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Flood Propagation Characteristics in a Plain Lake: The Role of Multiple River Interactions

Wu,

Wang,

et al. 2024

Water

Self Cite

View full text Add to dashboard Cite

Plain lakes play a crucial role in the hydrological cycle of a watershed, but their interactions with adjacent rivers and downstream water bodies can create complex river–lake relationships, often leading to frequent flooding disasters. Taking Poyang Lake as an example, this paper delves into its interaction with the Yangtze River, revealing the spatiotemporal patterns of flood propagation within the lake and its impact on surrounding flood control measures. The aim is to provide insights for flood management in similar environments worldwide. This study employs a comprehensive approach combining hydrological statistical analysis and two-dimensional hydrodynamic modeling, based on extensive hydrological, topographic, and socio-economic data. The results indicate that the annual maximum outflow from Poyang Lake is primarily controlled by floods within the watershed, while the highest annual lake water level is predominantly influenced by floods from the Yangtze River. The peak discharge typically reaches the lake outlet within 48 h, with the peak water level taking slightly longer at 54 h. However, water storage in the lake can shorten the time that it takes for the peak discharge to arrive. When converging with floods from the Yangtze River, the peak water level may be delayed by up to 10 days, due to the top-supporting interaction. Furthermore, floods from the “Five Rivers” propagate differently within the lake, affecting various lake regions to differing degrees. Notably, floods from the Fu River cause the most significant rise in the lake’s water level under the same flow rate. The top-supporting effect from the Yangtze River also significantly impacts the water surface slope of Poyang Lake. When the Yangtze River flood discharge significantly exceeds that of the “Five Rivers” (i.e., when the top-supporting intensity value, f, exceeds four), the lake surface becomes as flat as a reservoir. During major floods in the watershed, the water level difference in the lake can increase dramatically, potentially creating a “dynamic storage capacity” of up to 840 million cubic meters.

show abstract

Section: Propagation Characteristics Of Floods From the "Five Rivers"...mentioning

confidence: 86%

Section: Limitations and Applicationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…To determine water level changes in Amazon floodplain lakes, Douglas E. Alsdorf et al [15] employed interferometric radar measurements for water level monitoring. Deng et al [16] established a model to analyze the application strategies and flood diversion effects of flood diversion areas and single-withdrawal dikes around Poyang Lake, proposing corresponding optimized scheduling measures. To more accurately simulate and predict floods in Poyang Lake, experts have utilized various technical methods, including the water level-storage capacity curve and water balance method [17], hydrological models [18,19], hydrodynamic models [12,15], and machine learning models [20,21].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations