Spatial autocorrelation and hotspot analysis of natural radionuclides to study sediment transport

Mtshawu, Babalwa; Bezuidenhout, J; Kilel, K. K.

doi:10.1016/j.jenvrad.2023.107207

Cited by 9 publications

(4 citation statements)

References 19 publications

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“…Moran’s I detect spatial clustering features of geospatial data ( 33 ). However, it cannot determine whether the clustered values are high or low.…”

Section: Methodsmentioning

confidence: 99%

Spatial analysis of the prevalence of abdominal obesity in middle-aged and older adult people in China: exploring the relationship with meteorological factors based on gender differences

Yin,

Yan,

Wang

et al. 2024

Front. Public Health

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BackgroundIn recent years, the incidence of abdominal obesity among the middle-aged and older adult population in China has significantly increased. However, the gender disparities in the spatial distribution of abdominal obesity incidence and its relationship with meteorological factors among this demographic in China remain unclear. This gap in knowledge highlights the need for further research to understand these dynamics and inform targeted public health strategies.MethodsThis study utilized data from the 2015 China Health and Retirement Longitudinal Study (CHARLS) to analyze the incidence of abdominal obesity among the middle-aged and older adult population in China. Additionally, meteorological data were collected from the National Meteorological Information Center. Using Moran’s I index and Getis-Ord Gi* statistical methods, the spatial distribution characteristics of abdominal obesity incidence were examined. The influence of various meteorological factors on the incidence of abdominal obesity in middle-aged and older adult males and females was investigated using the q statistic from the Geodetector method. Furthermore, Multi-Scale Geographically Weighted Regression (MGWR) analysis was employed to explore the impact of meteorological factors on the spatial heterogeneity of abdominal obesity incidence from a gender perspective.ResultsThe spatial distribution of abdominal obesity among middle-aged and older adult individuals in China exhibits a decreasing trend from northwest to southeast, with notable spatial autocorrelation. Hotspots are concentrated in North and Northeast China, while cold spots are observed in Southwest China. Gender differences have minimal impact on spatial clustering characteristics. Meteorological factors, including temperature, sunlight, precipitation, wind speed, humidity, and atmospheric pressure, influence incidence rates. Notably, temperature and sunlight exert a greater impact on females, while wind speed has a reduced effect. Interactions among various meteorological factors generally demonstrate bivariate enhancement without significant gender disparities. However, gender disparities are evident in the influence of specific meteorological variables such as annual maximum, average, and minimum temperatures, as well as sunlight duration and precipitation, on the spatial heterogeneity of abdominal obesity incidence.ConclusionMeteorological factors show a significant association with abdominal obesity prevalence in middle-aged and older adults, with temperature factors playing a prominent role. However, this relationship is influenced by gender differences and spatial heterogeneity. These findings suggest that effective public health policies should be not only gender-sensitive but also locally adapted.

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“…Moran’s I detect spatial clustering features of geospatial data ( 33 ). However, it cannot determine whether the clustered values are high or low.…”

Section: Methodsmentioning

confidence: 99%

Spatial analysis of the prevalence of abdominal obesity in middle-aged and older adult people in China: exploring the relationship with meteorological factors based on gender differences

Yin,

Yan,

Wang

et al. 2024

Front. Public Health

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“…Hotspot analysis, which is generally used to identify the spatial clustering patterns of regional hotspots and cold spots, has been more and more widely used in studies related to ESPs, and thus hotspot analysis was utilized to recognize the spatial distribution patterns of hotspots within the study area (Li et al, 2022; Mtshawu et al, 2023). Taking these small patches as research objects, taking their geographic centers, and using their areas as weights for hotspot analysis, hotspots can be identified when the z ‐value is >1.96 (95% confidence level) (Li et al, 2022).…”

Section: Esps Identification Frameworkmentioning

confidence: 99%

Section: Hotspot Analysismentioning

confidence: 99%

Optimization strategies of ecological security patterns through importance of ecosystem services and ecological sensitivity—A case study in the Yellow River Basin

Wei,

Liu,

et al. 2023

Land Degrad Dev

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With the aggravation of environmental conflicts, exploring the green development path is an inevitable choice to alleviate land tension, guarantee the harmony of human–land relations, and promote coordinated regional development. The Yellow River Basin (YRB) is an important national ecological barrier area, but the impact of its environmental problems can no longer be ignored. Ecological security patterns (ESPs) provide remarkable means for the identification, configuration, and optimization of ecological spaces, which can help people identify the most central zone that needs to be protected. In this paper, we proposed environmental optimization strategies applicable to YRB as a case area. Firstly, the basic framework of ESPs was constructed based on the “three‐step” method, where ecological sources were delineated by importance/sensitivity, resistance surfaces were created by entropy weight method, and the distribution ranges of ecological corridors, nodes, and barriers were confirmed by circuit theory. Meanwhile, stepping stones were introduced to optimize the ESPs, which were obtained through hotspot analysis and buffer analysis. The results displayed that (1) ecological sources covered an area of 166,699.32 km2, occupying 21% of the basin area. They were widely distributed in the upper and middle junctions, southeast and east of the basin, and of the land types that make up them, cropland, woodland, and grassland account for 97.6%. (2) The spatial distribution of resistance values varied considerably with low values predominantly found along water systems and high values predominantly found in densely populated urban areas. (3) Through the Linkage Mapper tool, 344 ecological corridors were acquired, with dense and short corridors in the southeast and sparse and long corridors in the northwest; 146 ecological nodes were acquired, which were the priority areas for ecological protection; and 154 barriers were acquired, the improvement or removal of which can enhance the connectivity between sources. In addition, the application of stepping stones further enhanced the connectivity between landscapes. The ESPs assessment framework constructed in this paper can provide strong support for relevant departments to carry out ecological monitoring and formulate environmental protection strategies.

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“…Radionuclides 226 Ra and 228 Ra are metabolically similar to calcium; hence, they can be ingested in marine organisms and appreciably deposited on the bone surface (USEPA, 1991; Tan et al, 2023). In growing bone it is easy absorbed and distributed to soft tissues and bones, and nally, will be precipitated to sediment (Mtshawu et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Radiological impact of the operation of two Steam Power Plants on the activity levels of 232Th, 226Ra and 40K in the sediments at Semarang and Cirebon, Indonesia

Muslim-Muslim,

Wulandari,

Maslukah

et al. 2024

Preprint

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The radiological concentration and distribution of natural radionuclides of 232Th, 226Ra, and 40K in the surface sediments of two steam power plants (SPP) vicinity were investigated. Sediment samples were analyzed for radionuclides, organic matter, and grain size composition. The average concentration activity for 232Th, 226Ra and 40K in Semarang are 71.485 Bq·kg−1; 29.645 Bq·kg−1 and 570.459 Bq·kg−1 and in Cirebon 90.593 Bq·kg−1; 41.709 Bq·kg−1 and 725.788 Bq·kg−1, respectively. According to the Indonesian standards concentrations are still below the recommended values. The radionuclide concentration levels were influenced more by proximity to coal resources, than other factors such as organic content,sediment texture, and hydrodynamic processes. These data can be considered baseline data in this region and used as reference or baseline information. Thus, the data obtained in this study did not show any significant radiological health risk to the ecosystem in nearby areas of two SPP. Radiological parameters such as absorbed dose rate (Din), activity utilization index (AUI), annual effective dose equivalent (AEDEin), annual gonadal dose equivalent (AGDE), radium equivalent activity (Raeq), and hazard indices (Hex, Hin) showed some excess values when compared to standards.However, they were still comparable to values from other parts of the world.

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Spatial autocorrelation and hotspot analysis of natural radionuclides to study sediment transport

Cited by 9 publications

References 19 publications

Spatial analysis of the prevalence of abdominal obesity in middle-aged and older adult people in China: exploring the relationship with meteorological factors based on gender differences

Spatial analysis of the prevalence of abdominal obesity in middle-aged and older adult people in China: exploring the relationship with meteorological factors based on gender differences

Optimization strategies of ecological security patterns through importance of ecosystem services and ecological sensitivity—A case study in the Yellow River Basin

Radiological impact of the operation of two Steam Power Plants on the activity levels of 232Th, 226Ra and 40K in the sediments at Semarang and Cirebon, Indonesia

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