Water Security-based Hydrological Regime Assessment Method for Lakes with Extreme Seasonal Water Level Fluctuations: A Case Study of Poyang Lake, China

2018 ◽  
Vol 28 (3) ◽  
pp. 456-469 ◽  
Author(s):  
Rongrong Wan ◽  
Guishan Yang ◽  
Xue Dai ◽  
Yanhui Zhang ◽  
Bing Li
Keyword(s):  
Water Level ◽  
Poyang Lake ◽  
Hydrological Regime ◽  
Water Security ◽  
Assessment Method ◽  
Water Level Fluctuations

Water-level fluctuations are key for phytoplankton taxonomic communities and functional groups in Poyang Lake

2019 ◽  
Vol 104 ◽  
pp. 470-478 ◽  
Author(s):  
Jinfu Liu ◽  
Yuwei Chen ◽  
Mingjia Li ◽  
Baogui Liu ◽  
Xia Liu ◽  
...  
Keyword(s):  
Water Level ◽  
Functional Groups ◽  
Poyang Lake ◽  
Water Level Fluctuations

Water-level fluctuations affect the alpha and beta diversity of macroinvertebrates in Poyang Lake, China

2020 ◽  
Author(s):  
Chaozhong Tan ◽  
Tianjin Sheng ◽  
Lizhu Wang ◽  
Evance Mbao ◽  
Jin Gao ◽  
...  
Keyword(s):  
Water Level ◽  
Beta Diversity ◽  
Poyang Lake ◽  
High Water ◽  
Freshwater Ecosystems ◽  
Water Level Fluctuations ◽  
Spatial And Temporal Variability ◽  
Alpha And Beta Diversity ◽  
Β Diversity ◽  
Α Diversity

Water-level fluctuations (WLFs) are a key influence on aquatic biodiversity in seasonally inundatedfreshwater ecosystems. However, how unregulated WLFs affect macroinvertebrates in lake-floodplain systemsexperiencing considerable annual fluctuations remains unclear. We explored spatial and temporal variability intaxonomic α and β diversity in the largest fluctuating lake in China, Poyang Lake, during two hydrological seasons.We hypothesized that taxa richness (α diversity) is greater in the floodplain than in the lake channel due to greateravailability of trophic resources, and that variability in assemblage composition (β diversity) in the channel isgreater during the high-water season (HWS) than the low-water season (LWS) due to increased habitat heterogeneity.Benthic macroinvertebrate assemblages were sampled, water physicochemical and hydrological variables weremeasured, and geographical coordinates were determined at 34 sites during the HWS (October 2017) and LWS(January and April 2018). A total of 74 taxa were recorded. Macroinvertebrate α diversity was comparable in thefloodplain and the lake channel. Beta diversity in the channel was greater during HWS than LWS. Hydrologicalvariables influenced β diversity during LWS and geographical distance between sites increased β diversity duringHWS, whereas physicochemical variables did not influence β diversity in either hydrological season. Our resultssuggest that extensive WLFs altered macroinvertebrate biodiversity among hydrological seasons by extending waterinto floodplains during HWS and reducing substrate heterogeneity in the lake channel during LWS. We thushighlight the importance of WLFs that maintain such environmental seasonality in supporting the biodiversity ofbenthic macroinvertebrates in naturally dynamic freshwater ecosystems.

scholarly journals Historic maps as a data source for socio-hydrology: a case study of the Lake Balaton wetland system, Hungary

2013 ◽  
Vol 17 (11) ◽  
pp. 4589-4606 ◽  
Author(s):  
A. Zlinszky ◽  
G. Timár
Keyword(s):  
Time Series ◽  
Water Level ◽  
Social Systems ◽  
Wetland Loss ◽  
Water Level Fluctuations ◽  
Data Sets ◽  
Lake Balaton ◽  
Hydrological Data ◽  
Historic Maps

Abstract. Socio-hydrology is the science of human influence on hydrology and the influence of the water cycle on human social systems. This newly emerging discipline inherently involves a historic perspective, often focusing on timescales of several centuries. While data on human history is typically available for this time frame, gathering information on the hydrological situation during such a period can prove difficult: measured hydrological data for such long periods are rare, while models and secondary data sets from geomorphology, pedology or archaeology are typically not accurate enough over such a short time. In the first part of this study, the use of historic maps in hydrology is reviewed. Major breakthroughs were the acceptance of historic map content as valid data, the use of preserved features for investigating situations earlier than the map, and the onset of digital georeferencing and data integration. Historic maps can be primary quantitative sources of hydro-geomorphological information, they can provide a context for point-based measurements over larger areas, and they can deliver time series for a better understanding of change scenarios. In the second part, a case study is presented: water level fluctuations of Lake Balaton were reconstructed from maps, levelling logs and other documents. An 18th century map system of the whole 5700 km2 catchment was georeferenced, integrated with two 19th century map systems, and wetlands, forests and open water digitized. Changes in wetland area were compared with lake water level changes in a 220 yr time series. Historic maps show that the water level of the lake was closer to present-day levels than expected, and that wetland loss pre-dates drainage of the lake. The present and future role of historic maps is discussed. Historic hydrological data has to be treated with caution: while it is possible to learn form the past, the assumption that future changes will be like past changes does not always hold. Nevertheless, old maps are relatively accessible data sets and the knowledge base for using them is rapidly growing, and it can be expected that long-term time series will be established by integrating georeferenced map systems over large areas. In the Appendix, a step-by-step guide to using historic maps in hydrology is given, starting from finding a map, through georeferencing and processing the map to publication of the results.

scholarly journals Comparison of random forests and other statistical methods for the prediction of lake water level: a case study of the Poyang Lake in China

2016 ◽  
Vol 47 (S1) ◽  
pp. 69-83 ◽  
Author(s):  
Bing Li ◽  
Guishan Yang ◽  
Rongrong Wan ◽  
Xue Dai ◽  
Yanhui Zhang
Keyword(s):  
Water Level ◽  
Random Forests ◽  
Lake Water ◽  
Poyang Lake ◽  
Time Lag ◽  
Water Levels ◽  
Support Vector ◽  
Lake Water Level ◽  
Water Level Variations

Modeling of hydrological time series is essential for sustainable development and management of lake water resources. This study aims to develop an efficient model for forecasting lake water level variations, exemplified by the Poyang Lake (China) case study. A random forests (RF) model was first applied and compared with artificial neural networks, support vector regression, and a linear model. Three scenarios were adopted to investigate the effect of time lag and previous water levels as model inputs for real-time forecasting. Variable importance was then analyzed to evaluate the influence of each predictor for water level variations. Results indicated that the RF model exhibits the best performance for daily forecasting in terms of root mean square error (RMSE) and coefficient of determination (R2). Moreover, the highest accuracy was achieved using discharge series at 4-day-ahead and the average water level over the previous week as model inputs, with an average RMSE of 0.25 m for five stations within the lake. In addition, the previous water level was the most efficient predictor for water level forecasting, followed by discharge from the Yangtze River. Based on the performance of the soft computing methods, RF can be calibrated to provide information or simulation scenarios for water management and decision-making.

Limnological succession in reservoirs: a paleolimnological comparison of two methods of reservoir formation

1999 ◽  
Vol 56 (6) ◽  
pp. 1109-1121 ◽  
Author(s):  
Roland I Hall ◽  
Peter R Leavitt ◽  
Aruna S Dixit ◽  
Roberto Quinlan ◽  
John P Smol
Keyword(s):  
Water Level ◽  
Sediment Cores ◽  
Hydrological Regime ◽  
Community Change ◽  
Water Levels ◽  
Water Level Fluctuations ◽  
Lake Diefenbaker ◽  
Fossil Records ◽  
Variable Versus ◽  
Reduced Water

Analysis of diatoms, algal pigments, and chironomids in sediment cores from two otherwise similar prairie reservoirs demonstrated that differences in reservoir formation (river valley impoundment versus lake inundation) and hydrological regime (variable versus stable water level) resulted in distinct patterns of aquatic community change. Lake Diefenbaker, a 500-km2 reservoir created by damming the South Saskatchewan River in 1968, experiences water level fluctuations of 6 m·year-1. In contrast, impoundment of Buffalo Pound Lake in 1952 flooded a natural lake, raised mean water levels ~2.0 m, and reduced water level fluctuations from ~3 to <1 m·year-1. Comparison of fossil records showed that reservoir formation did not inevitably lead to eutrophication. Lake Diefenbaker exhibited typical reservoir ontogeny with three trophic periods, including an initial ~4-year period of eutrophy, a decade of mesotrophy, and a gradual shift to modern productive conditions. Planktonic taxa dominated diatom communities at all times, whereas benthic chironomid and algal remains were rare. In contrast, pigment analyses suggested that phytoplankton standing crops declined after impoundment in Buffalo Pound Lake but that chironomid and macrophyte populations expanded. Such site specificity in trophic development appears to result from differences in the extent of inundation (500 versus ~5 km2) and the magnitude of subsequent water level fluctuations (6.3 versus <1 m).

Impact of water level fluctuations on the succession of zooplankton in Poyang lake

2020 ◽  
Vol 40 (4) ◽  
Author(s):  
吕乾 LÜ Qian ◽  
胡旭仁 HU Xuren ◽  
聂雪 NIE Xue ◽  
欧阳珊 OUYANG Shan ◽  
王超 WANG Chao ◽  
...  
Keyword(s):  
Water Level ◽  
Poyang Lake ◽  
Water Level Fluctuations

Effect of Three Gorges Reservoir on River-Connected Lakes in Central Yangtze River

2013 ◽  
Vol 726-731 ◽  
pp. 1305-1308
Author(s):  
L.Q. Dai ◽  
P.P. Zhang ◽  
J.Q. Mao ◽  
H.C. Dai
Keyword(s):  
Water Level ◽  
Yangtze River ◽  
Poyang Lake ◽  
Storage Period ◽  
Hydrological Regime ◽  
Water Release ◽  
Lake Water Level ◽  
Level Data ◽  
Before And After ◽  
Average Water

As a very critical indicator of the health of the lake, water level of the river-connected lakes is influenced by both watershed inflows and the mainstream. Lakes connected to the Yangtze River has showed big differences since the impoundment of the TGR in 2003, as the hydrological regime in central Yangtze River has changed a lot. In order to grasp the effect of the TGR on the river-connected lakes, based on the water level data of four typical stations in Poyang Lake during the water release operation and storage period before and after the impoundment, the variation of water level is compared and discussed. It is shown that water level of Poyang Lake has undergone changes. In the water release operation stage, the average water level is higher, but in the storage period from late September to October, the average water level of the lake lower than before. In addition, it is pointed out that the extent is gradually reduced from north to south, as the max influence water level is about 1.5 meters and the average influence water level is about 0.6 meters in Hukou station. However, considering the time since the dam n period has not been long, the reservoir effect still needs to be further assessed based on long-term monitoring.

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