Flood coincidence analysis of Poyang Lake and Yangtze River: risk and influencing factors

Jiang, Bing; Deng, Pengxin; Zhang, Xiang; Lv, Shan; Marani, Marco; Xiao, Yi

doi:10.1007/s00477-018-1514-4

Cited by 20 publications

(5 citation statements)

References 24 publications

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“…The low hydrological connectivity of partially controlled sub-lakes will lead to low water transparency and water F I G U R E 6 Changes in the spatial distribution and vegetation cover in Bang Lake and Dahuchi Lake during 2000-2019 exchange rate, which will be controlled at a high water level in spring and winter. The light at the bottom will be weakened, which hinders the germination and growth of hygrophytes, seriously affecting the growth of aquatic vegetation seedlings, resulting in the reduction of distribution area (Huang, Ochoa, et al, 2021;Jianping et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

The study on the comparative responses of aquatic vegetation to the interannual water level variation in different hydrologically connected sub‐lakes based on GEE technology

et al. 2022

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Water level variation is considered as a main controlling environment factor affecting the growth of aquatic vegetation in Poyang Lake, the largest freshwater lake in China. It is significant to study the influences of water level change on aquatic vegetation under various hydrological conditions. Taking the free connected sub-lake Bang Lake and partially controlled sub-lake Dahuchi Lake of Poyang Lake as research objects and based on the cloud computing platform of remote sensing of Google Earth Engine (GEE), the pixel binary model method was used to estimate the aquatic vegetation cover from 2000 to 2019, and the spatial and temporal variation characteristics were discovered first. Meanwhile, the combined method of Sen + M-K (Theil-Sen Median method and Mann-Kendall trend test) was conducted to simulate the trends of water fluctuation. Second, the hydrological parameters indicating water level fluctuation were established, and the relationship between these parameters and the area covered by aquatic vegetation in different sub-lakes was explored. The results were as follows. (1) The aquatic vegetation cover of the freely connected sublake Bang Lake was more susceptible to water level changes, while the partially controlled sub-lake Dahuchi Lake was relatively stable underwater level change. (2) The aquatic vegetation was patchily and sporadically distributed in years with low vegetation cover, while in the years with high vegetation cover, it was distributed in a ringlike pattern, spreading from the centre of the lake to the shore. (3) The aquatic vegetation cover of the freely connected sub-lake Bang Lake was more likely to be influenced by the water level fluctuation (WLF), while the aquatic vegetation cover of the partially controlled sub-lake Dahuchi Lake was more likely to be influenced by the flooding duration of 17 m water level (L17). The flooding duration of 19 m water level (L19) had a strong negative correlation with the predicted aquatic vegetation cover of both Bang Lake and Dahuchi Lake. It suggests that there was a certain degree of time lag in the effect of water level changes on the free connected sublakes, but there was no obvious time lag on the partially controlled sub-lakes. (4) The aquatic vegetation of the freely connected sub-lake Bang Lake were dominated by stabilization and slight improvement, while aquatic vegetation in the partially controlled sub-lake Dahuchi Lake were dominated by stabilization and significant

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Section: Discussionmentioning

confidence: 99%

The study on the comparative responses of aquatic vegetation to the interannual water level variation in different hydrologically connected sub‐lakes based on GEE technology

et al. 2022

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“…Poyang Lake (Chen et al, 2018;Jianping et al, 2018). Hu et al (2007) indicated that the positive precipitation anomaly in the area south of the Yangtze River, including Poyang Lake, corresponded to high water levels and frequent and severe flooding.…”

Section: Impacts On the Midstream River-lake Relationshipmentioning

confidence: 99%

“…Poyang Lake directly exchanges water and interacts with the Yangtze River. Similar to Dongting Lake, river–lake interaction is also key to studying the water level change and flood development of Poyang Lake (Chen et al, 2018; Jianping et al, 2018). Hu et al (2007) indicated that the positive precipitation anomaly in the area south of the Yangtze River, including Poyang Lake, corresponded to high water levels and frequent and severe flooding.…”

Section: Pioneering Research On Water Resourcesmentioning

confidence: 99%

Trends and prospects in the Yangtze River Basin research: A bibliometric analysis

Pan

Zhang

et al. 2022

River Research & Apps

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The management and protection of the world's major river basins have received increasing attention, and a series of related measures, including fishing bans and ecological engineering restoration, has been pioneered in the Yangtze River Basin (YRB). This paper provides a quantitative and qualitative analysis of research trends and hotspots in the water environment of the YRB through bibliometric means. The database period was from its inception to December 31, 2020. This review combines the changing trends in the water environment of the YRB in the form of keywords. The results show that the governance of the YRB is based on the relationship between “water” and “sediment” as an entry point, focusing on changes in the “temporal” and “spatial” allocation of water resources; further, when considering the problem of “eutrophication” caused by the release of “nitrogen” and “phosphorus” from “sediments,” water quality factors such as “heavy metal pollution” and “organic pollution” are becoming more prominent; then water quality factor affects “biodiversity,” aquatic ecology becomes more and more concerned, and “ecological risk” factor is taken into consideration. Therefore, future management of the YRB requires consideration of all elements of the basin, including water resources, water quality, and aquatic ecology, and how to coordinate these all material elements is the obstacle and breakthrough point. In addition, further studies on research frontiers have revealed that ecological risk, emerging bioinformatics technologies, and, source apportionment will become the new and popular directions and trends in research. This review is intended to provide insights into the management of other large river basins around the world.

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“…Due to their flexible structure (Favre et al 2004), copulas have been widely used in hydrological multivariate analysis in recent years (Salvadori and Michele 2004, Zhang and Singh 2007, Karmakar and Simonovic 2009, Kao and Govindaraju 2010, Liu et al 2011, Reddy and Ganguli 2012, Chen et al 2013, Sraj et al 2015. In analyzing flood event coincidence, Klein et al (2010), Schulte and Schumann (2016) and Bing et al (2018) used copulas to establish the joint distribution among different river flood peaks, and to calculate the probability of the simultaneous occurrence of different river flood peaks within the basin (i.e., the probability of the occurrence of a river flood peak under the condition of another given river flood peak). However, they only considered flood magnitude and neglected flood occurrence time.…”

Section: Introductionmentioning

confidence: 99%

Flood hydrograph coincidence analysis of the upper Yangtze River and Dongting Lake, China

Chao

Wang

et al. 2021

Nat Hazards

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In hydrological research, flood events can be analyzed by flood hydrograph coincidence. Existing flood hydrograph coincidence research mostly focuses on the analysis of the coincidence risk probability of the annual maximum flood event using the 15-day maximum annual flood volume; the actual duration of the flood hydrograph is neglected. The duration of the flood hydrograph is a key variable in (1) determining whether flood hydrograph coincidence occurs, and (2) accurately calculating the flood hydrograph coincidence risk probability. This paper creatively proposes a novel method to analyze the flood hydrograph coincidence risk probability by establishing a five-dimensional joint distribution of flood volumes, durations and interval time for two hydrologic stations. More specifically, using the annual maximum flood of the upper Yangtze River and input from Dongting Lake as an example, the Pearson Type III and the mixed von Mises distributions were used to establish the marginal distribution of flood volumes, flood duration and interval time. Subsequently, the five-dimensional joint distribution based on vine copula was established to analyze the flood hydrograph coincidence risk probability. The results were verified by comparison with a historical flood sequence. The flood hydrograph coincidence volume-risk probability curve was also obtained, providing theoretical support for flood control safety and risk management in the middle and lower Yangtze River. This study also demonstrates the significant beneficial role of regulation by the Three Gorges Water Conservancy Project in mitigating flood risk of the Yangtze River.

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Flood coincidence analysis of Poyang Lake and Yangtze River: risk and influencing factors

Cited by 20 publications

References 24 publications

The study on the comparative responses of aquatic vegetation to the interannual water level variation in different hydrologically connected sub‐lakes based on GEE technology

The study on the comparative responses of aquatic vegetation to the interannual water level variation in different hydrologically connected sub‐lakes based on GEE technology

Trends and prospects in the Yangtze River Basin research: A bibliometric analysis

Flood hydrograph coincidence analysis of the upper Yangtze River and Dongting Lake, China

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