NRand-K: Minimizing the impact of location obfuscation in spatial analysis

The impact of land use change will lead to a reduction of the land that is supposed to be for the groundwater recharge area. The area which is previously as a protected area, becoming a cultivated area. Determination of groundwater recharge areas is needed to ensure the availability of groundwater in Purworejo regency. The objective of this study is at determining the suitability of land use for groundwater recharge areas. The method was developed by using spatial analysis tool based on rating and weighting value of some parameters, i.e. rock permeability, rainfall, land use, soil type, slope, and depth of groundwater depth. Results conduct that the groundwater recharge area covers around 42,192 ha. Most of the groundwater recharge areas are located in the protected area, but there are several occupied by cultivated areas.

Download Full-text

NDT ASSESSMENT OF EXISTING CONCRETE STRUCTURES: SPATIAL ANALYSIS OF REBOUND HAMMER RESULTS RECORDED IN-SITU

Engineering Structures and Technologies ◽

10.3846/2029882x.2015.1085331 ◽

2015 ◽

Vol 7 (1) ◽

pp. 1-12 ◽

Cited By ~ 1

Author(s):

Adorján Borosnyói

Keyword(s):

Spatial Analysis ◽

Surface Hardness ◽

Hardness Measurement ◽

Optical Recording ◽

Destructive Testing ◽

Rebound Hammer ◽

Schmidt Rebound Hammer ◽

The Impact ◽

Non Destructive

A comparative spatial analysis of surface hardness of structural concrete is introduced. Main objective of the paper is to make a repeatability comparison of three types of the still most popular non-destructive testing devices for concrete: L-type original Schmidt rebound hammer, N-type original Schmidt rebound hammer and N-type Silver Schmidt rebound hammer. Results indicate that the surface hardness measurement uncertainty is related to the weight of the hammer mass and is apparently not related to the impact energy of the rebound hammer devices. It is observed that the measure of surface hardness for the Silver Schmidt rebound hammer (Q-value) does not have positive correlation to the original rebound index (R). Results indicate the best performance of the N-type original Schmidt rebound hammer in terms of stability and normality of data. Geostatistical analysis of the measured data (in terms of empirical semivariograms) highlights different statistical behaviour for the mechanical recording rebound hammers and for the electro-optical recording rebound hammer.

Download Full-text

The impact of socioeconomic and environmental determinants on Mediterranean diet adherence: a municipal-level spatial analysis in Athens metropolitan area, Greece

International Journal of Food Sciences and Nutrition ◽

10.1080/09637486.2020.1791057 ◽

2020 ◽

pp. 1-12

Author(s):

Thomas Tsiampalis ◽

Antigoni Faka ◽

Matina Kouvari ◽

Theodora Psaltopoulou ◽

Christos Pitsavos ◽

...

Keyword(s):

Spatial Analysis ◽

Mediterranean Diet ◽

Metropolitan Area ◽

Environmental Determinants ◽

Diet Adherence ◽

Mediterranean Diet Adherence ◽

The Impact ◽

Municipal Level

Download Full-text

Spatial analysis of air masses backward trajectories in order to identify distant sources of fine particulate matter emission / Analiza przestrzenna wstecznych trajektorii mas powietrza w celu rozpoznania odległych źródeł emisji pyłu drobnego

Archives of Environmental Protection ◽

10.1515/aep-2015-0015 ◽

2015 ◽

Vol 41 (2) ◽

pp. 28-35 ◽

Cited By ~ 6

Author(s):

Jolanta Godłowska ◽

Monika J. Hajto ◽

A. Monika Tomaszewska

Keyword(s):

Particulate Matter ◽

Spatial Analysis ◽

Fine Particulate Matter ◽

Emission Sources ◽

Air Masses ◽

Backward Trajectories ◽

Particulate Matter Emission ◽

Aggregate Information ◽

Fine Particulate ◽

The Impact

Abstract The paper presents a method of identifying distant emission sources of fine particulate matter PM2.5 affecting significantly PM2.5 concentrations at a given location. The method involves spatial analysis of aggregate information about PM2.5 concentrations measured at the location and air masses backward trajectories calculated by HYSPLIT model. The method was examined for three locations of PM2.5 measurement stations (Diabla Góra, Gdańsk, and Katowice) which represented different environmental conditions. The backward trajectories were calculated starting from different heights (30, 50, 100 and 150 m a. g. l.). All points of a single backward trajectory were assigned to the PM2.5 concentration corresponding to the date and the site of the beginning of trajectory calculation. Daily average concentrations of PM2.5 were used, and in the case of Gdańsk also hourly ones. It enabled to assess the effectiveness of the presented method using daily averages if hourly ones were not available. Locations of distant sources of fine particulate matter emission were determined by assigning to each grid node a mean value of PM2.5 concentrations associated with the trajectories points located within the so-called search ellipse. Nearby sources of fine particulate matter emission were eliminated by filtering the trajectories points located close to each other (so-called duplicates). The analyses covered the period of January-March 2010. The results indicated the different origin of air masses in the northern and southern Poland. In Diabla Góra and Gdańsk the distant sources of fine particulate matter emission are identified in Belarus and Russia. In Katowice the impact of the Belarusian PM2.5 emission sources was also noted but as the most important fine particulate matter emission sources were considered those located in the area of Romania, Hungary, Slovakia and Ukraine.

Download Full-text

Spatial data analysis and the use of maps in scientific health articles

Revista da Associação Médica Brasileira ◽

10.1590/1806-9282.62.04.336 ◽

2016 ◽

Vol 62 (4) ◽

pp. 336-341

Author(s):

Luciana Bertoldi Nucci ◽

Patrick Theodore Souccar ◽

Silvia Diez Castilho

Keyword(s):

Spatial Analysis ◽

Spatial Data ◽

Geographical Location ◽

Epidemiological Studies ◽

Spatial Data Analysis ◽

Careful Evaluation ◽

Analysis Techniques ◽

Impact Index ◽

Scientific Papers ◽

The Impact

Summary Introduction: Despite the growing number of studies with a characteristic element of spatial analysis, the application of the techniques is not always clear and its continuity in epidemiological studies requires careful evaluation. Objective: To verify the spread and use of those processes in national and international scientific papers. Method: An assessment was made of periodicals according to the impact index. Among 8,281 journals surveyed, four national and four international were selected, of which 1,274 articles were analyzed regarding the presence or absence of spatial analysis techniques. Results: Just over 10% of articles published in 2011 in high impact journals, both national and international, showed some element of geographical location. Conclusion: Although these percentages vary greatly from one journal to another, denoting different publication profiles, we consider this percentage as an indication that location variables have become an important factor in studies of health.

Download Full-text

Spatial analysis for identifying hotspots of EDC and PPCP sources for monitoring systems

Water Science & Technology ◽

10.2166/wst.2013.612 ◽

2013 ◽

Vol 67 (8) ◽

pp. 1657-1663 ◽

Cited By ~ 1

Author(s):

M. J. Park ◽

M.-H. Park

Keyword(s):

Spatial Analysis ◽

Water Reuse ◽

Wastewater Treatment Plants ◽

Endocrine Disrupting Chemicals ◽

Pollution Sources ◽

Septic Systems ◽

Treated Effluent ◽

Sampling Locations ◽

The Usa ◽

The Impact

This study utilized spatial analysis to identify hotspots for endocrine disrupting chemicals (EDCs), pharmaceuticals, and personal care products (PPCPs) using data from potential sources including wastewater treatment plants, National Pollutant Discharge Elimination System (NPDES)-permitted pollution sources, septic systems, and agricultural and grazing areas. The study area is Lake Mead, to which the return of treated effluent is one of the largest water reuse practices in the USA. Based on Getis-Ord's Gi* statistic, clusters of pollution sources were identified based on the values of each feature and its neighboring features. Spatial analysis was applied to evaluate the impact from point and nonpoint source pollution. The results of spatial statistical analyses were used to evaluate the existing sampling locations in Las Vegas Wash. The results indicated that sampling locations with highest concentrations of EDCs/PPCPs were close to the outlets of subbasins with high susceptibility to EDCs/PPCPs, which confirms the suitability of sampling locations.

Download Full-text

Urban Informal Housing and Surface Urban Heat Island Intensity

Environment and Urbanization Asia ◽

10.1177/0975425318783548 ◽

2018 ◽

Vol 9 (2) ◽

pp. 158-177 ◽

Cited By ~ 13

Author(s):

Surabhi Mehrotra ◽

Ronita Bardhan ◽

Krithi Ramamritham

Keyword(s):

Heat Stress ◽

Spatial Analysis ◽

Urban Heat Island ◽

Urban Form ◽

Spatial Association ◽

Heat Island ◽

Urban Heat ◽

Surface Urban Heat Island ◽

The Impact ◽

Slum Housing

Urbanization leads to the densification of built-up areas, and thereby increases surface heat island intensity which is one of the growing concerns in the rapidly urbanizing cities. Another notable aspect of cities like Mumbai is the uncontrolled growth of informal slum housing clusters, which have emerged as a significant urban built form in the landscape of cities. This study presents a case of Mumbai that aims to explore the linkages between slum housing—here referred as ‘slum urban form’ (SUF)—and surface urban heat island (SUHI) supported by spatial-statistical analysis. The magnitude of the impact of urban form on SUHI, measured by land surface temperature (LST), is examined using Cohen’s d index, which measures the effect size for two groups—SUF and ‘formal’ housing—on LST. The results confirm a ‘large’ effect indicating a significant difference in mean LST between the two groups. The spatial analysis reveals a statistically significant spatial clustering of LST and SUF ( p-value < 0.05), and bivariate local indicator of spatial association (LISA) confirms that the spatial association of SUF is surrounded by ‘high’ LST (Moran I: 0.49). The exploratory spatial analysis indicates that the contribution of SUF in elevating SUHI intensity is more than the formal housing areas and has increased vulnerability to heat stress. The results were validated on the ground using environmental sensors, which confirms the susceptibility of SUF to heat stress.

Download Full-text