scholarly journals Comparing Spatial and Temporal Variation of Lake‐Atmosphere Carbon Dioxide Fluxes Using Multiple Methods

2020 ◽  
Vol 125 (12) ◽  
Author(s):  
Angela K. Baldocchi ◽  
David E. Reed ◽  
Luke C. Loken ◽  
Emily H. Stanley ◽  
Hayley Huerd ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Temporal Variation ◽  
Spatial And Temporal Variation ◽  
Multiple Methods ◽  
Carbon Dioxide Fluxes

scholarly journals Resolving space and time variation of lake-atmosphere carbon dioxide fluxes using multiple methods

2020 ◽  
Author(s):  
Angela K Baldocchi ◽  
David E Reed ◽  
Luke C Loken ◽  
Emily H. Stanley ◽  
Hayley Huerd ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Time Variation ◽  
Multiple Methods ◽  
Carbon Dioxide Fluxes ◽  
Space And Time

scholarly journals Temporal Variation of Ecosystem Scale Methane Emission From a Boreal Fen in Relation to Temperature, Water Table Position, and Carbon Dioxide Fluxes

2018 ◽  
Vol 32 (7) ◽  
pp. 1087-1106 ◽  
Author(s):  
Janne Rinne ◽  
Eeva-Stiina Tuittila ◽  
Olli Peltola ◽  
Xuefei Li ◽  
Maarit Raivonen ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Temporal Variation ◽  
Water Table ◽  
Methane Emission ◽  
Carbon Dioxide Fluxes ◽  
Temperature Water

Spatio-temporal variation of fish assemblages in Babai River of Dang district, Province No. 5, Nepal

Our Nature ◽  
2019 ◽  
Vol 17 (1) ◽  
pp. 19-30
Author(s):  
Punam G.C ◽  
Jash Hang Limbu
Keyword(s):  
Carbon Dioxide ◽  
Temporal Variation ◽  
Water Temperature ◽  
Environmental Variables ◽  
Fish Assemblages ◽  
Water Velocity ◽  
Free Carbon ◽  
Spatial And Temporal Variation ◽  
Fish Assemblage Structure ◽  
Free Carbon Dioxide

Spatial and temporal variation of fish assemblages were investigated seasonally from October 2018 to May 2019. Fish assemblages were agglomerated with environmental variables both to spatial and temporal scales. Water temperature, dissolved Oygen, free carbon-dioxide, pH and water velocity of water of each site were measured. Based on analysis of similarities (ANOSIM), fish assemblages were significantly different in spatial variation but not in temporal variation. A total of 1,024 individuals belonging to 5 orders, 9 families and 15 genera and 24 species were collected. The dominated species were Puntius sophore, followed by P. terio, P. ticto and Barilius bendelisis. The Redundancy Analysis (RDA) vindicated that environmental variables of water temperature, pH, water velocity and free carbon-dioxide were found to be contributed variables to shape the fish assemblage structure of Babai River. The cluster analysis delineated that similarity between fish species decreases as the distance of sites increased.

SPATIAL AND TEMPORAL VARIATION IN GROUNDWATER GEOCHEMISTRY IN THE HIGH PLAINS AQUIFER SYSTEM, SOUTHCENTRAL KANSAS

2016 ◽  
Author(s):  
Alexandria D. Richard ◽  
◽  
Adam E. Lane ◽  
Janet M. Paper ◽  
Ben R. Haller ◽  
...  
Keyword(s):  
Temporal Variation ◽  
Spatial And Temporal Variation ◽  
High Plains ◽  
High Plains Aquifer ◽  
Aquifer System ◽  
Groundwater Geochemistry

scholarly journals Spatial and Temporal Variation Characteristics of Snowfall in the Haihe River Basin from 1960 to 2016

Water ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 1798
Author(s):  
Xu Wu ◽  
Su Li ◽  
Bin Liu ◽  
Dan Xu
Keyword(s):  
Temporal Variation ◽  
River Basin ◽  
Spatial And Temporal Variation ◽  
Haihe River Basin ◽  
Temperature Threshold ◽  
Threshold Method ◽  
Exponential Equation ◽  
Haihe River ◽  
The Haihe River Basin ◽  
Different Levels

The spatio-temporal variation of precipitation under global warming had been a research hotspot. Snowfall is an important part of precipitation, and its variabilities and trends in different regions have received great attention. In this paper, the Haihe River Basin is used as a case, and we employ the K-means clustering method to divide the basin into four sub-regions. The double temperature threshold method in the form of the exponential equation is used in this study to identify precipitation phase states, based on daily temperature, snowfall, and precipitation data from 43 meteorological stations in and around the Haihe River Basin from 1960 to 1979. Then, daily snowfall data from 1960 to 2016 are established, and the spatial and temporal variation of snowfall in the Haihe River Basin are analyzed according to the snowfall levels as determined by the national meteorological department. The results evalueted in four different zones show that (1) the snowfall at each meteorological station can be effectively estimated at an annual scale through the exponential equation, for which the correlation coefficient of each division is above 0.95, and the relative error is within 5%. (2) Except for the average snowfall and light snowfall, the snowfall and snowfall days of moderate snow, heavy snow, and snowstorm in each division are in the order of Zones III > IV > I > II. (3) The snowfall and the number of snowfall days at different levels both show a decreasing trend, except for the increasing trend of snowfall in Zone I. (4) The interannual variation trend in the snowfall at the different levels are not obvious, except for Zone III, which shows a significant decreasing trend.

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