Spatial-temporal analysis of industrial heat and productivity in China

Phenological information can be obtained from different sources of data. For instance, from remote sensing data or products and from models driven by weather variables. The former typically allows analyzing land surface phenology whereas the latter provide plant phenological information. Analyzing relationships between both sources of data allows us to understand the impact of climate change on vegetation over space and time. For example, the onset of spring is advanced or delayed by changes in the climate. These alterations affect plant productivity and animal migrations.Spring onset monitoring is supported by the Extended Spring Index (SI-x), which are a suite of regression-based models for key indicator plant species. These models (Schwartz et al. in 2013) are based on daily maximum and minimum temperature from the first day of the year (January 1st). The primary products of these models are the timing of first leaf and first bloom, but they also provide derivative products such as the timing of last freeze day and the risk of frost damage day (damage index) for each year. This information helps to understand if vegetation could have suffered from environmental stressors such as droughts or a late frost events. The effects of environmental stressors in vegetation could be captured by the false spring index, which relates the first leaf day and the last freeze day. Moreover, this information could be used to understand plant productivity as well as to evaluate the economic impact of climate change.Previous works studied the relationship between remote sensing and plant level products by means of spatial-temporal analysis between Gross Primary Production (GPP) and a spring onset index. However, they did not consider the possible impact of false spring effect in these relationships. Here, we present a spatial-temporal analysis between GPP and the damage index to better understand the effect of false springs (in annual gross photosynthesis data). The analysis is done for the period 2000 to 2015 over the contiguous US and at spatial resolution of 1 km. We used the MODIS annual sum of GPP and the damage and false spring indices derived from the SI-x models.

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Sustainable use of an extractivist reserve: a spatial-temporal analysis of environmental dynamics

Brazilian Journal of Biological Sciences ◽

10.21472/bjbs.040719 ◽

2017 ◽

Vol 4 (7) ◽

pp. 195-201

Author(s):

Joélia Natália Bezerra da Silva ◽

Janaína Vital de Albuquerque ◽

Luana de Oliveira Rodrigues

Keyword(s):

Remote Sensing ◽

Temporal Dynamics ◽

Vegetation Indices ◽

Sustainable Use ◽

Temporal Analysis ◽

Conservation Unit ◽

Climatic Regions ◽

Cardisoma Guanhumi ◽

Surrounding Areas ◽

Spatial Temporal Analysis

Due to its large territory, Brazil has different climatic regions, which determines biome variations and equally diverse ecosystems, of this variety of vegetal landscapes, accompanies the diversity of climates. In this context, results of studies carried out locally, which guide measures, decision-making laws and regulations that reach large scales in the territory, need to be carefully planned, because there is a high risk of disregarding environmental specificities of the studied areas. Therefore, this study aimed to analyze the environmental dynamics resulting from the impacts of the last decades that have affected the habitat of the guaiamum (Cardisoma guanhumi) in the Acaú-Goiana Extractivist Reserve (RESEX) and surrounding areas. The analysis of the spatial-temporal dynamics, in the RESEX and adjacent areas, was made from the vegetation indices (SAVI) through remote sensing. In this way, three images of the RESEX were analyzed, two from the year 2010 and one from 2015, in which the RESEX was already in full legal operation. It is noticeable that there are some areas within the Conservation Unit with small plots of exposed soil, which can demonstrate the occurrence of fires.

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DISPARITIES IN MUNICIPAL WASTE MANAGEMENT ACROSS EU-27. A GEOGRAPHICAL APPROACH

10.31235/osf.io/bf68j ◽

2016 ◽

Author(s):

Florin Constantin MIHAI

Keyword(s):

Waste Management ◽

Environmental Issues ◽

Hierarchical Cluster ◽

Temporal Analysis ◽

Municipal Waste ◽

Member States ◽

Municipal Waste Management ◽

Territorial Disparities ◽

Spatial Temporal Analysis ◽

The Eu

Inadequate waste management leads to many environmental issues and theadoption of an efficient and sustainable waste management has become apriority objective of the EU. However, besides the demographic factors, thevarious socio-economic and geographical conditions of this complex spacelead to major disparities in municipal waste management between North andSouth, East and West. This paper aims to do a spatial-temporal analysis ofthe Eurostat indicators using ascending hierarchical cluster analysis thatdivides the member states into five typological classes. The resulted mapshighlight territorial disparities among the Member States on municipalwaste management and also reveal the evolution of environmental policiesbetween 2003-2009 related to the EU acquis.

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SPATIAL-TEMPORAL ANALYSIS OF SEISMIC WAVE-FIELD FROM THE DISTRIBUTED MINING EXPLOSION

Interexpo GEO-Siberia ◽

10.33764/2618-981x-2019-4-1-141-148 ◽

2019 ◽

Vol 4 (1) ◽

pp. 141-148

Author(s):

Sergey Efimov

Keyword(s):

Wave Field ◽

Seismic Wave ◽

Temporal Analysis ◽

Seismic Signal ◽

Environmental Risks ◽

Time Analysis ◽

Seismic Recording ◽

Seismic Records ◽

Seismic Wave Field ◽

Spatial Temporal Analysis

The article presents a space-time analysis of the seismic wave from a distributed career explosion. The method of direct measurement based on the dynamic model of the wave field is used to form an image of the seismic wave field in the field of quarry explosions. The efficiency of the proposed method is shown by the example of experimental seismic recording processing. The program "Nelumbo" is used to visualize the seismic field, which on the basis of experimental seismic records allows to form an image of the wave field in the space of the hemisphere, the center of which corresponds to the position of the seismometer (registration point). The algorithm of the program "Nelumbo" is based on the Huygens – Fresnel principle and Kirchhoff's theorem. The algorithm of the program allows to allocate from record of a seismic signal frames of a certain duration and to form the image of a wave field in space of a solid angle dimension π. This approach can be used as a tool to analyze the nature of the development of disturbances in the environment and the analysis of environmental risks in the production of blasting.

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