A risk assessment of landscape hazards for building sites in the Front Range mountains of Colorado

Burley, Jon Bryan; Burley, Cheryl J.

doi:10.1080/01426399608706482

Cited by 5 publications

(11 citation statements)

References 13 publications

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“…The investigatory team gathered public data concerning a set of landscape hazards across the lower 48 of the United States, including: earthquakes, wildfires, hurricanes, tornados, flooding, volcanoes, radon, air pollution, avalanche, landslides, sinkholes, and blizzards [32][33][34][35][36][37][38][39][40]. The maps were drawn in layers with three values: high risk (medium gray with a 10-200 year time frame), moderate risk (light gray 500 year time frame), and low risk (white great than 500 year time frame), similar to Burley and Burley [18]and McHarg [14]. The model to compile the maps in a series of overlays was similar to Johnson and Burley, where the most hazardous value (a medium gray) across the overlays determined the hazard risk for a location [41].…”

Section: Methodsmentioning

confidence: 99%

“…This general approach was applied by Burley and Burley to a study site in Colorado, to determine safe building environments against wildlife, avalanche, rock fall, and flooding. They determined that in their study area, there was no safe site [18]. This interest extended to other areas in the world, as Feng et al examined building site safety in the Wenchuan are of China and in the central Philippines in post-earthquake settings developing an index to assess and determine the resiliency of the setting to save lives [19].…”

Section: Introductionmentioning

confidence: 99%

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Landscape Hazards: Destructive Build Environment Zones and Safe Areas - An American Case Study

Kunii¹,

O’Keefe²,

Burley³

et al. 2021

Landscape Architecture - Processes and Practices Towards Sustainable Development

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Planners, designers, governmental organizations, and citizens are interested in creating enduring safe buildable environments. Landscape hazards such as earthquakes, wildfires, hurricanes, tornados, flooding, volcanoes, radon, air pollution, sinkholes, avalanche, landslides, and blizzards create a complex set of destructive forces that form disturbances obliterating life and structures. In our study, we examined these forces across the lower 48 states of the United States of America. We applied geographic information system (GIS) technology to identify areas of extreme hazard and areas of low risk. Our investigation indicated that most of our study area (approximately 83%) was exposed to highly reoccurring destructive forces and that only relatively small patches (Upper Midwest-portions of Michigan, Wisconsin, and Minnesota) and thin stretches (Rocky Mountain Front Range-eastern Montana, Wyoming, and eastern Colorado) of land were relatively secure from these forces. This means that in the long term, much of the study area is not safe from disturbances that will destroy much of the built environment, challenging notions of sustainability for numerous metropolitan areas, United Nations Educational, Scientific, and Cultural Organization (UNESCO) Biosphere Reserves, UNESCO World Heritage Sites, National Parks, other noted historic sites.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Landscape Hazards: Destructive Build Environment Zones and Safe Areas - An American Case Study

Kunii¹,

O’Keefe²,

Burley³

et al. 2021

Landscape Architecture - Processes and Practices Towards Sustainable Development

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“…MSU is widely known as teaching the first full-term semester course in higher education addressing the design of the exterior environment, found in either Europe or North America, taught by Albert N. Prentiss (1836-1896) sometime starting between 1863 and 1865 and was required by all students attending the university [1][2][3]. Albert Prentiss was a member of the first graduating class at MSU in 1861 and eventually went on to teach and do research at Cornell University.…”

Section: Beginningsmentioning

confidence: 99%

Perspective Chapter: Organizational Ecology – Evolving Realities in Higher Education from Cholera to Covid – A Michigan State University Planning and Design Case Study

Wen¹,

Liu²,

Burley³

2023

Higher Education - Reflections From the Field - Volume 1

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This manuscript is a narrative concerning the evolution of Michigan State University (MSU), the first American Land-grant school and the development of planning and design instruction and research at MSU from the 1860s until the present time, including adaptations in the post-Covid era. Covid is not the first epidemic to influence higher education at MSU, as the school had to adapt to Cholera (1832–1866), Scarlet Fever (1858), Typhoid Fever (1906–1907), H1N1 Flu (1918), Diphtheria (1921–1925), Polio (1916–1955), H2N2 Flu (1957), Second Measles Outbreak (1981–1991), H1M1 Flu (1991), Meningitis (1997 to present), Whooping Cough (2010, 2014), HIV and Aids (1980 to present), and Covid (2020 to present). The narrative presents a depiction of the changing organizational structure/network over time, illustrating the transformations in the sciences, arts, funding, and publication demands with comments, observations, and insights offered by Dr. Burley, FASLA, a now retired MSU landscape architecture faculty member with questions posed by the coauthors. The paper is in the form of traditional historic criticism essays meant to interpret events and activities. To critique does not have negative intent, but rather to bring understanding. The paper illustrates the transition from a German academic model to a diversified free-form education model.

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“…The previous studies in Minnesota and North Dakota had revealed primarily equations for mesic settings. It can be quite unusual that an exam question generated a paper, but this did not seem unusual to Jon Bryan Burley, as several papers were generated from assignments in graduate level courses in risk assessment, field studies, remote sensing, and anthropology [16][17][18][19].…”

Section: Introduction and Literaturementioning

confidence: 99%

Predictive Models for Reforestation and Agricultural Reclamation: A Clearfield County, Pennsylvania Case Study

Yue¹,

Burley²

2022

Vegetation Index and Dynamics

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Natural resource scientists, concerned citizens, and government officials are interested in reconstructing disturbed environments for reforestation and agricultural productivity. We examined Clearfield County in Pennsylvania, USA, to develop a predictive model to reconstruct the landscape for seven agronomic crops (corn, corn silage, oats, alfalfa hay, red clover, bluegrass, and soybeans) and thirteen woody plants (white cedar, lilac, highbush cranberry, Amur maple, gray dogwood, peashrub, white spruce, white pine, red maple, red pine, jack pine, nannyberry, and white ash). A significant predictive model (p ≤ 0.001) was generated explaining 96.94% of the variance, with percent clay, bulk density, hydraulic conductivity, available water capacity, pH, percent organic matter, percent rock fragments, slope, topographic position, and electrical conductivity explored as main effect terms, plus squared terms, and first order interaction terms. The model is not over-specified and each predictor is significant (p ≤ 0.05). The modeling effort suggests that there are at least several clusters of vegetation preference dimensions based upon the terrain of the landscape. The model provides insight into how to reconstruct the disturbed environment for vegetation in the study area.

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A risk assessment of landscape hazards for building sites in the Front Range mountains of Colorado

Cited by 5 publications

References 13 publications

Landscape Hazards: Destructive Build Environment Zones and Safe Areas - An American Case Study

Landscape Hazards: Destructive Build Environment Zones and Safe Areas - An American Case Study

Perspective Chapter: Organizational Ecology – Evolving Realities in Higher Education from Cholera to Covid – A Michigan State University Planning and Design Case Study

Predictive Models for Reforestation and Agricultural Reclamation: A Clearfield County, Pennsylvania Case Study

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