Discussion of “Impacts of Streamflow and Topographic Changes on Water Level during the Dry Season of Poyang Lake, China” by Feng Huang, Xunzhou Chunyu, Yuankun Wang, Xiao Zhang, Bao Qian, Dayong Zhao, and Ziqiang Xia

2021 ◽  
Vol 26 (2) ◽  
pp. 07020026
Author(s):  
Parisa-Sadat Ashofteh
Keyword(s):  
Water Level ◽  
Poyang Lake ◽  
Dry Season

Impacts of Streamflow and Topographic Changes on Water Level during the Dry Season of Poyang Lake, China

2020 ◽  
Vol 25 (3) ◽  
pp. 05020001 ◽  
Author(s):  
Feng Huang ◽  
Xunzhou Chunyu ◽  
Yuankun Wang ◽  
Xiao Zhang ◽  
Bao Qian ◽  
...  
Keyword(s):  
Water Level ◽  
Poyang Lake ◽  
Dry Season

scholarly journals PERENCANAAN EMBUNG GUWOREJO KECAMATAN TAROKAN KABUPATEN KEDIRI

2019 ◽  
Vol 12 (1) ◽  
pp. 59
Author(s):  
Yuono Mugi Kuncoro ◽  
Djoko Trijanto ◽  
Medi Efendi
Keyword(s):  
Water Level ◽  
Dry Season ◽  
Topographic Maps ◽  
Effective Capacity ◽  
Water Volume ◽  
Capacity Analysis ◽  
Flood Water ◽  
Initial Design ◽  
Hydrologic Analysis ◽  
Downstream Slope

In dry season Tarokan Sub-district of Kediri, often suffers from drought, so a small dam (embung) was required. The objectives of the study are to determine the dimension of the dam, its spillway and to analyze its stability. The required data were of rainfall, topographic maps, soil, and population.The initial design was hydrologic analysis by finding out the planned discharge Q50 and determining the water volume of inflow. To determine the effective catchment ponds, capacity analysis using topographical data and comparing the volume of water available. And analysis of spillway to determine the flood water level.The analyses result, the amount of the water needs of a population of 258.854.400m3, and the magnitude of the draft Q50 discharge of in 4.027 m3/sec (The  room  for  sediment  is  29,234.9 m3  at  elevation  1 m from the bottom of the pool); 390,000m3 effective capacity at +131.75 elevation, and flood water level at +132.75 elevation. The dimension of embung main dam is 6 m deep; embung crest at +133.00 elevation ; 3m wide embung crest ; 1:3 upstream slope; 1 : 2.25 downstream slope ; 10 m wide spillway channel 1 : 1 slope of wall of spillway channel ; and crest of spillway at +131.75. Geostudio software was used to calculate the figures safety against sliding. Keywords: embung, spillway, embung dimensions, slope stabilty

scholarly journals Flooding hazard mapping for Poyang Lake Region with remote sensing and water level records

2009 ◽  
Vol 21 (5) ◽  
pp. 720-724 ◽  
Author(s):  
QI Shuhua ◽  
◽  
SHU Xiaobo ◽  
Daniel Brown ◽  
JIANG Luguang
Keyword(s):  
Remote Sensing ◽  
Water Level ◽  
Poyang Lake ◽  
Hazard Mapping ◽  
Flooding Hazard ◽  
Poyang Lake Region ◽  
Lake Region

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

scholarly journals Variation of the Water Level in the Yangtze River in Response to Natural and Anthropogenic Changes

Water ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2594 ◽  
Author(s):  
Jinxin Liu ◽  
Jinyun Deng ◽  
Yuanfang Chai ◽  
Yunping Yang ◽  
Boyuan Zhu ◽  
...  
Keyword(s):  
Water Level ◽  
Yangtze River ◽  
Dry Season ◽  
Climate Variation ◽  
Dominant Factor ◽  
The Yangtze River ◽  
Flood Season ◽  
Dam Operation ◽  
Adjustment Mechanisms ◽  
Measured Water

The water level in the Yangtze River has significantly changed due to the effects of varied precipitation and dam operations, which have exerted significant effects on irrigation, navigation, and ecosystems. Based on the measured data and the proposed calculation method, we analyzed the adjustment mechanisms of the seasonal water level in the whole Yangtze River. The results were as follows. During the dry season, the rising precipitation and dam operation both increased the water level in the upper reaches and in the reaches from the Jianli to Datong stations during 1981–2014. Moreover, dam operations were the dominant factor (except at Datong station). In the reaches from the Yichang to Shashi stations, dam operations are the reason for the reduction of the measured water level in the dry season, while the rising precipitation had an opposite influence. During the flood season, dam operations helped to reduce the water level from the upper reaches to the estuary during 1981–2014, while climate variation stresses adversely affected the entire river basin. In the reaches between the Luoshan and Jianli stations, climate variation is the dominant factor for the increased water level during the flood season, while dam operation is the reason for the reduced water level at the other six hydrological stations.

The effects of water-level changes on periphytic algal assemblages in Poyang Lake

2020 ◽  
Author(s):  
Kuimei Qian ◽  
Martin Dokulil ◽  
Wan Lei ◽  
Yuwei Chen
Keyword(s):  
Water Level ◽  
Algal Biomass ◽  
Environmental Changes ◽  
Poyang Lake ◽  
Temporal Variations ◽  
Algal Community ◽  
Temperature Conductivity ◽  
Periphytic Algae ◽  
Water Level Changes ◽  
Algal Assemblages

Poyang Lake, which is the largest freshwater lake in China, has a seasonal flooding cycle that significantlychanges the water level every year. The aim of this study was to research the effects of water-level changeson periphytic algal assemblages in Poyang Lake. Dynamic shift of periphytic algal biomass were studied fromNovember 2016 to July 2019. Periphytic algal biomass and species composition were analyzed microscopically, andphysicochemical conditions were measured. There were significant seasonal variations in the community distributionof periphytic algae. The biomass of the periphyton ranged from 8 to 22,636 mg m-2. Periphytic algal biomassranged from 30 to 622 mg m-2 with the average of 204 mg m-2 in the LWL phase; periphytic algal biomass rangedfrom 8 to 21,839 mg m-2, with the average of 3,399 mg m-2 in the IWL phase. It ranged from 166 to 22,636 mgm-2, with the average 4,320 mg m-2 in the HWL phase and from 16 to 3,231 mg m-2 with the average of 585 mgm-2 in the DWL phase. There were temporal variations in periphytic algal community structure in Poyang Lake.Cryptophyceae dominated in algal periphyton from November 2016 to February 2017. Bacillariophyceae dominatedfrom March to July 2017 (increasing water-level phases). Pyrrophyceae and Euglenophyceae were dominant fromAugust and September (high-water-level phase) in 2017. Bacillariophyceae dominated through 2018 with occasionaldominance of Cryptophyceae from January to June and the occasional dominance of Chlorophyceae fromJuly to December. Chlorophyceae dominated from January to July in 2019 with occasional dominance of Bacillariophyceae.The water-level variations led to environmental heterogeneity in Poyang Lake, creating heterogeneoushabitats for algal periphyton. Our study revealed the primary importance of water level, water temperature, conductivity,total nitrogen, nitrite and total phosphorus as abiotic local factors structuring the periphytic algal communityin Poyang Lake. The water-level changes did not prevent growth of periphytic algae, but it did change the periphyticalgal community assemblages. This research provides data on the periphytic algae in Poyang Lake and will beuseful for establishing biological indicators of environmental changes and protecting Poyang Lake in the future.

scholarly journals Spatial-temporal variability of the fluctuation of water level in Poyang Lake basin, China

2018 ◽  
Vol 10 (1) ◽  
pp. 940-953 ◽  
Author(s):  
Lixin Ning ◽  
Yunkai Zhou ◽  
Jing Yang ◽  
Changxiu Cheng ◽  
Changqing Song ◽  
...  
Keyword(s):  
Water Level ◽  
Poyang Lake ◽  
Permutation Entropy ◽  
Lake Basin ◽  
Hydrological Process ◽  
Spring Precipitation ◽  
Poyang Lake Basin ◽  
Basin Scale ◽  
Catchment Size ◽  
Deviation Coefficient

Abstract Poyang Lake basin is one of the most biodiversity areas in China. Fluctuation of water level is an important factor of hydrological process which is a guarantee of ecosystem health and biodiversity conservation. To measure its spatial-temporal variation, classical statistical methods and permutation entropy were employed: 1) Variation of water level downstream of Poyang Lake during one year follows a periodical pattern, while it is random in upper reaches. That is, the range of water level in upper reaches is much less than that in downstream. 2) Fluctuation of water level in winter and spring is more complicated, more irregular and more random than that in other seasons. This is because in winter and spring, precipitation directly causes rising in water level rather than generating surface runoff, while it is reversed in summer. 3) The ranges, standard deviation, coefficient of variation and fluctuation of water level decrease with rising in elevation. 4) In sub-basin scale, fluctuation of water level in upper reaches is more complicated than that in downstream, e specially along one river. Mechanically, catchment size and confluence process may be the main factors influencing fluctuation of water level over Poyang Lake basin.

scholarly journals Seasonal Water Level Fluctuation and Concomitant Change of Nutrients Shift Microeukaryotic Communities in a Shallow Lake

Water ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2317
Author(s):  
Yang Liu ◽  
Ze Ren ◽  
Xiaodong Qu ◽  
Min Zhang ◽  
Yang Yu ◽  
...  
Keyword(s):  
Water Level ◽  
Soluble Reactive Phosphorus ◽  
Dry Season ◽  
Water Level Fluctuation ◽  
Water Level Fluctuations ◽  
Rrna Gene ◽  
Level Fluctuation ◽  
Wet Season ◽  
Concomitant Change ◽  
Modular Structures

Seasonal water level fluctuations (WLFs) impose dramatic influences on lake ecosystems. The influences of WLFs have been well studied for many lake biotas but the microeukaryotic community remains one of the least-explored features. This study employed high-throughput 18S rRNA gene sequencing to investigate the spatiotemporal patterns of microeukaryotic communities in the dry and wet seasons with concomitant change of nutrients in Poyang Lake, which experiences huge seasonal WLFs. The results showed that the dry season and wet season had distinct microeukaryotic community compositions and structures. In the dry season, Ciliophora (13.86–40.98%) and Cryptomonas (3.69–18.64%) were the dominant taxa, and the relative abundance of these taxa were significant higher in the dry season than wet season. Ochrophyta (6.88–45.67%) and Chlorophyta (6.31–22.10%) was the dominant taxa of microeukaryotic communities in the wet season. The seasonal variation of microeukaryotic communities was strongly correlated to seasonal nutrient variations. Microeukaryotic communities responded significantly to dissolved organic carbon, total nitrogen, nitrate, and soluble reactive phosphorus in the dry season, and correlated to nitrate and total phosphorus in the wet season. The microeukaryotic community showed different modular structures in two seasons, and nutrient variations were the key factors influencing seasonal variations of the modular structures. Moreover, microeukaryotic community networks based on different seasons indicated that the microeukaryotic community co-occurrence patterns were not constant but varied largely associating with the nitrogen and phosphorus variations under the effects of WLFs. Our results are important for understanding how microeukaryotic communities respond to nutrient variation under seasonal water level fluctuation.

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