Changes of rainfall and its possible reasons in the Nansi Lake Basin, China

She, Dunxian; Xia, Jun; Longteng, Zhu; Lu, Juan; Chen, Xiangdong; Zhang, Liping; Zhang, Xiang

doi:10.1007/s00477-015-1176-4

Cited by 8 publications

(3 citation statements)

References 42 publications

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“…The eastern Nansi Lake is a hilly region with an area of 8500 m 2 , and the slope is between 1/1000-1/10,000. There are 53 tributary rivers; among them, 25 are distributed throughout the western Nansi Lake, mainly including the Liangji River, Zhuzhaoxin River, Dongyu River, and Fuxin River, while the rest are located in the eastern Nansi Lake region, including the Guangfu River, Si River, Baima River, and Xinxue River [38]. Figure 1 shows the generalized water system of the Nansi Lake Basin.…”

Section: Study Areamentioning

confidence: 99%

“…The Nansi Lake Basin (NLB) in the Huai River Basin, China, is chosen as the research area in this study. The reason why we chose the Nansi Lake Basin is that Nansi Lake is the largest freshwater lake in northern China with a water depth 1.5 m, and the lakeside area around Nansi Lake is a plain area where waterlogging occurs frequently approximately every three to five years [38]. Furthermore, due to climate change, the lake temperature in this region increased significantly between 1985-2009 [39][40][41].…”

Section: Introductionmentioning

confidence: 99%

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Interactions between Lake-Level Fluctuations and Waterlogging Disasters around a Large-Scale Shallow Lake: An Empirical Analysis from China

Wang

Liu

et al. 2019

Water

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Waterlogging disasters in the lakeside areas of shallow lakes that located in plain regions are sensitive to lake-level fluctuations. However, there are very few studies on the influences of lake-level fluctuations on waterlogged lakeside areas from a large lake basin perspective. This paper proposes an integrated hydrodynamic model employing the MIKE software to contribute to the existing literature by filling the gap constituted by the lack of an estimation of the impacts of lake-level fluctuations on waterlogging disasters by relevant models. First, a coupled one-dimensional and two-dimensional hydrodynamic model is established to simulate the waterlogging routing in the lakeside area around Nansi Lake (NL) in addition to the flood routing in NL and its tributaries. Second, the model is calibrated and verified by two measured flood events in July 2007 and July 2008; the results indicate that the model can correctly simulate the drainage process of pumping stations in the lakeside area, as well as the interactions between the waterlogging drainage and lake-level fluctuations. Third, the process of waterlogging in the lakeside area of NL is simulated under different rainfall events and initial lake-level conditions. Fourth, based on the results of the model, this paper illustrates the influences of lake-level fluctuations on the waterlogged area around the lake, as well as the different responses of waterlogging in different areas to lake-level fluctuations in NL and the main cause for these differences. Finally, based on the results of the model, this paper presents some implications for waterlogging simulations and drainage system design.According to statistics, weather events account for 62% of all of the events recorded as natural disasters, and floods and storm events account for 60% of weather events [5]. The lakeside area around shallow lakes, especially for lakes in the plain area, will experience more serious waterlogging disasters with greater severity in the future due to the combined effects of climate change, rapid urbanization, and the insufficient capacity of the rainstorm drainage system. Accurately simulating the process of waterlogging in shallow lake basins to reveal the response relationship between WLFs and waterlogged areas has a great significance for the scientific arrangement of drainage engineering and correct decision making regarding flood control. Due to the lake level being one of the decisive factors in the functioning of lakes, especially shallow lakes, the effects of lake-level fluctuations on the water quality and biota in lakes have been documented by many papers [6][7][8][9][10]. Meanwhile, in addition to influencing the ecosystem of lakes, lake-level fluctuations also have obvious effects on the interactions between lakes and other bodies linked to them. Rasid and Hufferd [11] noted that the lake level has a significant effect on the flood hazards in the lakeside area of Lake Superior. Clausen and Johnson [12] reported the response of sediment and nutrient retention within we...

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Section: Study Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Interactions between Lake-Level Fluctuations and Waterlogging Disasters around a Large-Scale Shallow Lake: An Empirical Analysis from China

Wang

Liu

et al. 2019

Water

View full text Add to dashboard Cite

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“…As a strong ocean-atmosphere coupling, a powerful climatic and oceanic oscillation, ENSO behaviour can impact hydrological regimes since the atmospheric variables are the crucial elements that form streamflow (Niedzielski, 2014). The anomalous hydrological behaviours are associated with persistent climate anomalies (She et al, 2015;Wang et al, 2016;Xing et al, 2016;Zhang et al, 2016a;2016b;. Meanwhile, streamflow variations are often linked with anomalous atmospheric conditions on seasonal time scales (Ionita et al, 2012;Wang et al, 2013a).…”

Section: Introductionmentioning

confidence: 99%

Influence of mature El Niño‐Southern Oscillation phase on seasonal precipitation and streamflow in the Yangtze River Basin, China

Jia

Wang

Shao

et al. 2019

Intl Journal of Climatology

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As one of the most influential oceanic and atmospheric oscillations in the Earth system, El Niño‐Southern Oscillation (ENSO) has modulated numerous geophysical processes. This is particularly true for the Yangtze River Basin (YRB), which is vulnerable to Asian Monsoon and faces serious hydrological hazards. In this study, the co‐variability between lag–lead precipitation and sea surface temperature anomalies was evaluated utilizing singular value decomposition (SVD) method. Moreover, certain teleconnections between ENSO and streamflow were identified by wavelet methods. In addition, the contribution of related atmospheric variables was revealed by composite analysis. Results indicate that there are strong associations in lag–lead seasons between the wet condition (dry condition) and September–November (December–February) mature ENSO phase. Significant common power and coherence signals between the ENSO indices and the streamflow occur in the 4–8, 8–16 and 16–32 seasonal scales. Meanwhile, the activity cycle of the ENSO indices ahead of streamflow increases from the mid‐lower reaches to the source region. In addition, the Western Pacific Subtropical High is strengthened during the mature ENSO phase. Anomalous sinking motions and divergent water vapour flux occupy the YRB, reducing the precipitation and leading to the dry condition in the source region until the following March–May. On the other hand, ascending movements and abundant water vapour flux coming from northern Pacific, equatorial western Pacific and the Bay of Bengal result in the wet condition in the mid‐lower reaches.

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Spatiotemporal characteristics of droughts and floods in northeastern China and their impacts on agriculture

Zhou

et al. 2018

Stoch Environ Res Risk Assess

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Changes of rainfall and its possible reasons in the Nansi Lake Basin, China

Cited by 8 publications

References 42 publications

Interactions between Lake-Level Fluctuations and Waterlogging Disasters around a Large-Scale Shallow Lake: An Empirical Analysis from China

Interactions between Lake-Level Fluctuations and Waterlogging Disasters around a Large-Scale Shallow Lake: An Empirical Analysis from China

Influence of mature El Niño‐Southern Oscillation phase on seasonal precipitation and streamflow in the Yangtze River Basin, China

Spatiotemporal characteristics of droughts and floods in northeastern China and their impacts on agriculture

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