The impact of hard versus soft soled runners on the spatio-temporal measures of gait in young children and a comparison to barefoot walking

Changes in snow cover over the Tibetan Plateau (TP) have a significant impact on agriculture, hydrology, and ecological environment of surrounding areas. This study investigates the spatio-temporal pattern of snow depth (SD) and snow cover days (SCD), as well as the impact of temperature and precipitation on snow cover over TP from 1979 to 2018 by using the ERA5 reanalysis dataset, and uses the Mann–Kendall test for significance. The results indicate that (1) the average annual SD and SCD in the southern and western edge areas of TP are relatively high, reaching 10 cm and 120 d or more, respectively. (2) In the past 40 years, SD (s = 0.04 cm decade−1, p = 0.81) and SCD (s = −2.3 d decade−1, p = 0.10) over TP did not change significantly. (3) The positive feedback effect of precipitation is the main factor affecting SD, while the negative feedback effect of temperature is the main factor affecting SCD. This study improves the understanding of snow cover change and is conducive to the further study of climate change on TP.

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Photovoltaic Power Forecasting: Assessment of the Impact of Multiple Sources of Spatio-Temporal Data on Forecast Accuracy

Energies ◽

10.3390/en14051432 ◽

2021 ◽

Vol 14 (5) ◽

pp. 1432

Author(s):

Xwégnon Ghislain Agoua ◽

Robin Girard ◽

Georges Kariniotakis

Keyword(s):

Satellite Images ◽

Forecast Accuracy ◽

Absolute Error ◽

Data Sources ◽

Test Case ◽

Temporal Data ◽

Multiple Sources ◽

Forecasting Error ◽

Spatio Temporal ◽

The Impact

The efficient integration of photovoltaic (PV) production in energy systems is conditioned by the capacity to anticipate its variability, that is, the capacity to provide accurate forecasts. From the classical forecasting methods in the state of the art dealing with a single power plant, the focus has moved in recent years to spatio-temporal approaches, where geographically dispersed data are used as input to improve forecasts of a site for the horizons up to 6 h ahead. These spatio-temporal approaches provide different performances according to the data sources available but the question of the impact of each source on the actual forecasting performance is still not evaluated. In this paper, we propose a flexible spatio-temporal model to generate PV production forecasts for horizons up to 6 h ahead and we use this model to evaluate the effect of different spatial and temporal data sources on the accuracy of the forecasts. The sources considered are measurements from neighboring PV plants, local meteorological stations, Numerical Weather Predictions, and satellite images. The evaluation of the performance is carried out using a real-world test case featuring a high number of 136 PV plants. The forecasting error has been evaluated for each data source using the Mean Absolute Error and Root Mean Square Error. The results show that neighboring PV plants help to achieve around 10% reduction in forecasting error for the first three hours, followed by satellite images which help to gain an additional 3% all over the horizons up to 6 h ahead. The NWP data show no improvement for horizons up to 6 h but is essential for greater horizons.

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The Impact of Indoor Air Pollution on the Incidence of Life Threatening Respiratory Illnesses: Evidence from Young Children in Peru

The Journal of Development Studies ◽

10.1080/00220388.2012.709617 ◽

2012 ◽

Vol 49 (4) ◽

pp. 500-515 ◽

Cited By ~ 17

Author(s):

Gissele Gajate-Garrido

Keyword(s):

Air Pollution ◽

Young Children ◽

Indoor Air ◽

Indoor Air Pollution ◽

Respiratory Illnesses ◽

Life Threatening ◽

The Impact

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Spatio-temporal variability of the atmospheric boundary layer depth over the Paris agglomeration: An assessment of the impact of the urban heat island intensity

Atmospheric Environment ◽

10.1016/j.atmosenv.2012.09.046 ◽

2012 ◽

Vol 63 ◽

pp. 261-275 ◽

Cited By ~ 70

Author(s):

S. Pal ◽

I. Xueref-Remy ◽

L. Ammoura ◽

P. Chazette ◽

F. Gibert ◽

...

Keyword(s):

Boundary Layer ◽

Atmospheric Boundary Layer ◽

Urban Heat Island ◽

Temporal Variability ◽

Urban Heat Island Intensity ◽

Heat Island ◽

Layer Depth ◽

Urban Heat ◽

Spatio Temporal ◽

The Impact

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Spatio-temporal dynamics of schistosomiasis in Rwanda between 2001 and 2012: impact of the national Neglected Tropical Disease control programme

Geospatial health ◽

10.4081/gh.2017.514 ◽

2017 ◽

Vol 12 (1) ◽

Author(s):

Elias Nyandwi ◽

Tom Veldkamp ◽

Frank Badu Osei ◽

Sherif Amer

Keyword(s):

Temporal Dynamics ◽

Public Health Problem ◽

Incidence Rates ◽

Control Programme ◽

Scan Statistics ◽

Major Public Health Problem ◽

Implementation Phase ◽

Incidence Data ◽

Spatio Temporal ◽

The Impact

Schistosomiasis is recognised as a major public health problem in Rwanda. We aimed to identify the spatio-temporal dynamics of its distribution at a fine-scale spatial resolution and to explore the impact of control programme interventions. Incidence data of Schistosoma mansoni infection at 367 health facilities were obtained for the period 2001-2012. Disease cluster analyses were conducted using spatial scan statistics and geographic information systems. The impact of control interventions was assessed for three distinct sub-periods. Findings demonstrated persisting, emerging and re-emerging clusters of schistosomiasis infection across space and time. The control programme initially caused an abrupt increase in incidence rates during its implementation phase. However, this was followed by declining and disappearing clusters when the programme was fully in place. The findings presented should contribute to a better understanding of the dynamics of schistosomiasis distribution to be used when implementing future control activities, including prevention and elimination efforts.

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