Four-decade dynamics of the water color in 61 large lakes on the Yangtze Plain and the impacts of reclaimed aquaculture zones

2021 ◽  
Vol 781 ◽  
pp. 146688
Author(s):  
Yang Xu ◽  
Lian Feng ◽  
Xuejiao Hou ◽  
Junjian Wang ◽  
Jing Tang
Keyword(s):  
2017 ◽  
Vol 51 ◽  
pp. 57-70 ◽  
Author(s):  
E. S. Gusev ◽  
O. S. Perminova ◽  
N. A. Startseva ◽  
A. G. Okhapkin

The latest special studies of the genus Synura in Russia were conducted in the 1970s. In the last decade, 14 new species of the genus were described based on molecular and morphological data. The total number of valid taxa of the genus has increased to 49. Only 18 taxa of Synura are known in Russia up to date, and the diver sity of the genus on this huge territory is strongly underestimated. Previous studies of the genus were focused mainly on large lakes or reservoirs. To reveal a more complete flora, it is necessary to include other habitats into account. Small urban rivers can be prospective habitats for interesting taxa including synuralean algae. Our study focuses on the taxonomic composition of the genus Synura in four small rivers in Nizhniy Novgorod (European Russia): Chyornaya, Levinka, Borzovka and Rzhavka. All the rivers flow in the city and fall under strong anthropogenic impact. The genus Synura was studied by means of transmission and scanning electron microscopy during 2011, 2012, 2014, 2015. In total, eight species and one form of Synura have been found: S. conopea, S. curtispina, S. echinulata, S. glabra, S. macropora, S. petersenii, S. spinosa f. spinosa, S. spinosa f. longispina, S. uvella. All nine taxa were observed in the river Chyornaya. Five taxa were found in the rivers Levinka, Borzovka and Rzhavka. One species (Synura conopea) is a new record to the flora of Russia. It was found in all studied rivers. Four taxa (S. conopea, S. glabra, S. macropora, S. spinosa f. longispina) are new records to the Middle Volga river basin.


1994 ◽  
Vol 29 (2-3) ◽  
pp. 293-308
Author(s):  
J. Koponen ◽  
M. Virtanen ◽  
H. Vepsä ◽  
E. Alasaarela

Abstract Three-dimensional (3-D) mathematical models of water currents, transport, mixing, reaction kinetic, and interactions with bottom and air have been used in Finland regularly since 1982 and applied to about 40 cases in large lakes, inland seas and their coastal waters. In each case, model validity has been carefully tested with available flow velocity measurements, tracer studies and water quality observations. For operational use, i.e., for spill combatting and sea rescue, the models need fast response, proven validity and illustrative visualization. In 1987-90, validated models were implemented for operational use at five sea areas along the Finnish coast. Further validation was obtained in model applications from nine documented or arranged cases and from seven emergency situations. Sensitivity tests supplement short-term validation. In the Bothnian Sea, it was nescessary to start the calculation of water currents three days prior to the start of the experiment to reduce initial inaccuracies and to make the coastal transport estimates meaningful.


Quaternary ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 14
Author(s):  
Zhengchen Li ◽  
Xianyan Wang ◽  
Jef Vandenberghe ◽  
Huayu Lu

The Wufo Basin at the margin of the northeastern Tibet Plateau connects the upstream reaches of the Yellow River with the lowland catchment downstream, and the fluvial terrace sequence in this basin provides crucial clues to understand the evolution history of the Yellow River drainage system in relation to the uplift and outgrowth of the Tibetan Plateau. Using field survey and analysis of Digital Elevation Model/Google Earth imagery, we found at least eight Yellow River terraces in this area. The overlying loess of the highest terrace was dated at 1.2 Ma based on paleomagnetic stratigraphy (two normal and two reversal polarities) and the loess-paleosol sequence (12 loess-paleosol cycles). This terrace shows the connections of drainage parts in and outside the Tibetan Plateau through its NE margin. In addition, we review the previously published data on the Yellow River terraces and ancient large lakes in the basins. Based on our new data and previous researches, we conclude that the modern Yellow River, with headwaters in the Tibet Plateau and debouching in the Bohai Sea, should date from at least 1.2 Ma. Ancient large lakes (such as the Hetao and Sanmen Lakes) developed as exorheic systems and flowed through the modern Yellow River at that time.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Valérie Andrieu-Ponel ◽  
Pierre Rochette ◽  
François Demory ◽  
Hülya Alçiçek ◽  
Nicolas Boulbes ◽  
...  

AbstractCereals are a central resource for the human diet and are traditionally assumed to have evolved from wild grasses at the onset of the Neolithic under the pressure of agriculture. Here we demonstrate that cereals may have a significantly longer and more diverse lineage, based on the study of a 0–2.3 Ma, 601 m long sedimentary core from Lake Acıgöl (South-West Anatolia). Pollen characteristic of cereals is abundant throughout the sedimentary sequence. The presence of large lakes within this arid bioclimatic zone led to the concentration of large herbivore herds, as indicated by the continuous occurrence of coprophilous fungi spores in the record. Our hypothesis is that the effects of overgrazing on soils and herbaceous stratum, during this long period, led to genetic modifications of the Poaceae taxa and to the appearance of proto-cereals. The simultaneous presence of hominins is attested as early as about 1.4 Ma in the lake vicinity, and 1.8 Ma in Georgia and Levant. These ancient hominins probably benefited from the availability of these proto-cereals, rich in nutrients, as well as various other edible plants, opening the way, in this region of the Middle East, to a process of domestication, which reached its full development during the Neolithic.


2016 ◽  
Vol 9 (8) ◽  
pp. 788-805 ◽  
Author(s):  
Junsheng Li ◽  
Shenglei Wang ◽  
Yanhong Wu ◽  
Bing Zhang ◽  
Xiaoling Chen ◽  
...  
Keyword(s):  

Author(s):  
S. A. Lebedev ◽  
Yu. I. Troitskaya ◽  
G. V. Rybushkina ◽  
M. N. Dobrovolsky

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