Taxonomic status of intertidal bathygobius species in Hong Kong, with emphasis on the spatial and temporal patterns of abundance of B. meggitti

2002 ◽  
Author(s):  
Lai-fun Lee
Keyword(s):  
Hong Kong ◽  
Taxonomic Status ◽  
Temporal Patterns ◽  
Spatial And Temporal Patterns

Measuring Spatial and Temporal Patterns of Urban NO2 Concentrations by combining mobile and stationary DOAS instruments

2020 ◽  
Author(s):  
Mark Wenig ◽  
Ying Zhu ◽  
Sheng Ye ◽  
Ka Lok Chan ◽  
Jia Chen ◽  
...  
Keyword(s):  
Hong Kong ◽  
Air Quality ◽  
Temporal Patterns ◽  
Optical Absorption Spectroscopy ◽  
Data Sets ◽  
Spatial And Temporal Patterns ◽  
Air Quality Monitoring Stations ◽  
Weekly Cycles ◽  
Mobile Measurements ◽  
Monitoring Stations

<p>In many cities around the world the NO<sub>2</sub> concentration levels exceed WHO guideline limits. Urban air quality is typically monitored using a relatively small number or monitoring stations that follow certain guidelines in terms of inlet height and location relative to streets. However, the question remains how a limited number of point measurements can represent the city-wide air quality and capture spatial patterns. Measurement campaigns in Hong Kong and Munich were conducted, using a combination of mobile in-situ and stationary remote sensing differential optical absorption spectroscopy (DOAS) instruments. In order to separate spatial and temporal patterns, we developed an algorithm based on a combination of mobile and stationary data sets that corrects for the diurnal cycle in the mobile measurements.  We constructed pollution maps from the corrected measurements that represent daily average NO<sub>2</sub> exposure. The maps have been used to identify pollution hot spots, determine the spatial dependency of long-term changes, and capture the weekly cycles of on-road NO<sub>2</sub> levels in Hong Kong and Munich. Since our method can also be used to determine the spatial representativeness of the monitoring stations in cities, it is very valuable tool for identifying suitable locations for air quality monitoring stations.</p>

SPATIAL AND TEMPORAL PATTERNS OF GROUNDWATER ELEVATION AND SALINITY ON ASSATEAGUE ISLAND

2016 ◽  
Author(s):  
Ruth Coffey ◽  
◽  
Hannah Sprinkle ◽  
Eric Sherry ◽  
Brian Sturgis ◽  
...  
Keyword(s):  
Temporal Patterns ◽  
Spatial And Temporal Patterns ◽  
Assateague Island

THE NEW RADIOCARBON DATASET FOR TRILITH MONUMENTS OF SOUTHEASTERN ARABIA

Radiocarbon ◽  
2020 ◽  
pp. 1-11
Author(s):  
R Garba ◽  
P Demján ◽  
I Svetlik ◽  
D Dreslerová
Keyword(s):  
Iron Age ◽  
Temporal Patterns ◽  
Temporal Analysis ◽  
Coastal Plains ◽  
Spatial And Temporal Patterns ◽  
Two Phase ◽  
Stone Monuments ◽  
South Central ◽  
Geographical Expansion ◽  
Spatio Temporal

ABSTRACT Triliths are megalithic monuments scattered across the coastal plains of southern and southeastern Arabia. They consist of aligned standing stones with a parallel row of large hearths and form a space, the meaning of which is undoubtedly significant but nonetheless still unknown. This paper presents a new radiocarbon (14C) dataset acquired during the two field seasons 2018–2019 of the TSMO (Trilith Stone Monuments of Oman) project which investigated the spatial and temporal patterns of the triliths. The excavation and sampling of trilith hearths across Oman yielded a dataset of 30 new 14C dates, extending the use of trilith monuments to as early as the Iron Age III period (600–300 BC). The earlier dates are linked to two-phase trilith sites in south-central Oman. The three 14C pairs collected from the two-phase trilith sites indicated gaps between the trilith construction phases from 35 to 475 years (2 σ). The preliminary spatio-temporal analysis shows the geographical expansion of populations using trilith monuments during the 5th to 1st century BC and a later pull back in the 1st and 2nd century AD. The new 14C dataset for trilith sites will help towards a better understanding of Iron Age communities in southeastern Arabia.

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