Alterational correlation analysis between the water level and the influencing factors of Hukou Station at Poyang Lake

Purpose The purpose of this paper is to explore the rationality differences of cognition of non-technical medical services in different groups, and to provide countermeasures for improving non-technical medical services. Design/methodology/approach Literature analysis, expert interviews, questionnaire survey and frequency analysis were taken to reveal the influencing factors of non-technical medical services. Grey correlation methods were taken to compare the rationality differences of cognition of non-technical medical services by analysis influencing factors’ scores marked by different groups. Findings A total of 12 influencing factors of non-technical medical services were obtained, including “doctor’s working career”, “doctor’s strict implementation of medical treatment norms and medication guidelines”, “doctor’s service awareness”, etc. And rationality differences of cognition of non-technical medical services were confirmed as follows: the doctors’ cognition was more reasonable compared with patients; the women’s cognition was more reasonable compared with men; the lower aged groups’ cognition was more reasonable compared with higher aged groups; and people with doctoral degree had a less reasonable cognition compared with others. Originality/value The authors systematically discussed the cognition differences of non-technical medical services among different people, and provided some countermeasures reasonably.

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

Fundamental and Applied Limnology / Archiv für Hydrobiologie ◽

10.1127/fal/2020/1349 ◽

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.

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

Open Geosciences ◽

10.1515/geo-2018-0075 ◽

2018 ◽

Vol 10 (1) ◽

pp. 940-953 ◽

Cited By ~ 3

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.

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