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Full-Text Articles in Physical Sciences and Mathematics

The Spatial Patterns Of Pluvial Flood Risk, Blue-Green Infrastructure, And Social Vulnerability: A Case Study From Two Alaskan Cities, Arun K. Pallathadka, Heejun Chang, Idowu Ajibade Oct 2021

The Spatial Patterns Of Pluvial Flood Risk, Blue-Green Infrastructure, And Social Vulnerability: A Case Study From Two Alaskan Cities, Arun K. Pallathadka, Heejun Chang, Idowu Ajibade

International Journal of Geospatial and Environmental Research

Flooding is a serious form of natural hazard in Alaska, USA. Two of Alaska’s biggest cities, Anchorage and Fairbanks, have experienced flooding of varying magnitude since the cities were first settled in the early 20th century. Although flood mitigation measures such as blue-green infrastructure (BGI) are rising in prominence, the spatial relationship of BGI, urban pluvial flood (UPF) zone, and social vulnerability remains understudied. This study delineates the UPF zone of Anchorage and Fairbanks using the Blue Spot modeling and correlates it with the distribution of BGI at Census Block Group (CBG) scale, focusing on underlying social vulnerability using a …


Triple Threat Gateway? Respiratory Health, Demographics And Land Use In Metro East St. Louis, Missouri-Illinois, Usa, Stacey R. Brown-Amilian Jul 2020

Triple Threat Gateway? Respiratory Health, Demographics And Land Use In Metro East St. Louis, Missouri-Illinois, Usa, Stacey R. Brown-Amilian

International Journal of Geospatial and Environmental Research

This paper examines a triple threat for residents of two counties in the St. Louis metropolitan area. Previous environmental justice research has focused on demographics and toxic facilities. This research builds upon those assessments by incorporating hospital discharge data and demographics as well as three different types of pollution sources. Air pollution monitors were unavailable to use during the time period of 2009-2011, therefore proxy measures of pollution in the form of major roadways, industrial land use parcels, and toxic facility information from the EPA Toxic Release Inventory are utilized. This study integrates both spatial coincidence and proximity analysis methods …


Exploratory Spatial Data Analysis In Traffic Safety, Amin Azimian, Dimitra Pyrialakou May 2020

Exploratory Spatial Data Analysis In Traffic Safety, Amin Azimian, Dimitra Pyrialakou

International Journal of Geospatial and Environmental Research

This paper presents an exploratory spatial data analysis (ESDA) of road traffic crashes at different severity levels in West Virginia (WV). Although ESDA can support transportation safety decision-making by helping planners understand and summarize crash data, it is underutilized in practice. This paper describes the application of five representative easy-to-use method to identify crash patterns and high crash-risk counties in WV. Analysis of crash data from 2010 to 2015 indicated that traffic crashes in WV were not spatially correlated. However, crash severities were found to be positively correlated.


Using Gis And Remote Sensing To Map Grassroots Sustainable Development For A Small Ngo In Nepal, Suzanne C. Walther, Elizabeth M. Dengenis, Krishna Gurung Jan 2019

Using Gis And Remote Sensing To Map Grassroots Sustainable Development For A Small Ngo In Nepal, Suzanne C. Walther, Elizabeth M. Dengenis, Krishna Gurung

International Journal of Geospatial and Environmental Research

Geographic information systems, through analysis and visualizations, can aid in pursuing and improving sustainable development. Thousands of Non-Governmental Organizations (NGOs) in developing countries provide a wide range of services and local organizations with fewer resources must often be more efficient to offer their services effectively. The accessibility of spatial data for assessment and, in turn, improved planning could enable these organizations to increase efficiency, thereby maximizing aid and sustainable development, as well as the number of people helped in a variety of ways. Focusing on mapping outreach and quantifying land use for a locally run NGO in Nepal, this study …


Using Gis And Remote Sensing To Analyze Lake Level Rise Of Étang Saumâtre, Haiti, Helenmary M. Hotz, Alan D. Christian Jul 2015

Using Gis And Remote Sensing To Analyze Lake Level Rise Of Étang Saumâtre, Haiti, Helenmary M. Hotz, Alan D. Christian

International Journal of Geospatial and Environmental Research

Haiti is the poorest country in the western hemisphere and is beset by catastrophic events of natural and anthropogenic origins. Therefore, Haiti is vulnerable to and ill-equipped to manage these events. Since 2004, the incidence and intensity of tropical storms over the island of Hispaniola has resulted in loss of life and been the catalyst for forced migration of the population, resulting in contamination of water and health issues, i.e. cholera. Our research uses GIS and Remote Sensing to address the potential flooding hazard to population and agriculture abutting the closed basin lake Étang Saumâtre. Our analysis of Landsat imagery …


Predicting Changes Of Rainfall Erosivity And Hillslope Erosion Risk Across Greater Sydney Region, Australia, Xihua Yang, Bofu Yu, Xiaojin Xie Jul 2015

Predicting Changes Of Rainfall Erosivity And Hillslope Erosion Risk Across Greater Sydney Region, Australia, Xihua Yang, Bofu Yu, Xiaojin Xie

International Journal of Geospatial and Environmental Research

Rainfall changes have significant effect on rainfall erosivity and hillslope erosion, but the magnitude of the impact is not well quantified because of the lack of high resolution rainfall data. Recently, the 2-km rainfall projections from regional climate models have become available for the Greater Sydney Region (GSR) at daily time step for the current (1990-2009) and future (2040-2059) periods. These climate projections allow predicting of rainfall erosivity changes and the associated hillslope erosion risk for climate change assessment and mitigation.

In this study, we developed a daily rainfall erosivity model for GSR to predict rainfall erosivity from the current …


Estimating Medically Fragile Population Exposures To Tropical Storm Surges, James L. Wilson, Eileen Neuffer Jul 2015

Estimating Medically Fragile Population Exposures To Tropical Storm Surges, James L. Wilson, Eileen Neuffer

International Journal of Geospatial and Environmental Research

Background. A particularly vulnerable sub-population is the medically fragile. The medically fragile (MF) are defined as those who have at least one chronic condition and are electrically and pharmaceutically dependent, including the need for oxygen, and require care within 48 hours. Estimates of MF populations at risk from environmental hazards are important for emergency management planning and mitigation.

Materials and Methods. The MF population is comprised of 8% of the total population under 75 years plus all those 75+ years. Zonal estimates of MF populations are obtained by clipping block level US Census populations with SLOSH basin data (SLOSH Display …


Measuring Spatial Health Disparity Using A Network-Based Accessibility Index Method In A Gis Environment: A Case Study Of Hillsborough County, Florida, Huairen Ye, Hyun Kim Jun 2014

Measuring Spatial Health Disparity Using A Network-Based Accessibility Index Method In A Gis Environment: A Case Study Of Hillsborough County, Florida, Huairen Ye, Hyun Kim

International Journal of Geospatial and Environmental Research

In recent decades, the health care delivery system in the United States has been greatly transformed and more widely examined. Even with one of the most developed health care systems in the world, the United States still experiences great spatial disparity in health care access. Increasing diversity of class, culture, and ethnicity also has a significant impact on health disparity. The goal of this paper is to address the spatial disparity of health care access using a network-based health accessibility index method (NHAIM) in a Geographic Information System (GIS) environment. Ensuring a desired level of accessibility for patients is the …