2024 CSDMS meeting-062: Difference between revisions

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|CSDMS meeting city=East Hanover
|CSDMS meeting city=East Hanover
|CSDMS meeting country=United States
|CSDMS meeting country=United States
|CSDMS meeting state=NJ
|CSDMS meeting state=New Jersey
|CSDMS meeting email address=elyttek@yahoo.com
|CSDMS meeting email address=elyttek@yahoo.com
|CSDMS meeting phone=5712656450
|CSDMS meeting phone=5712656450
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{{CSDMS meeting abstract title temp2024
|CSDMS meeting abstract title=The Spatial Impact of Fraxinus Snag Fall on Electric Distribution Infrastructure under Emerald Ash Borer Infestation
|Working_group_member_WG_FRG=Terrestrial Working Group, Human Dimensions Focus Research Group, Ecosystem Dynamics Focus Research Group
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{{CSDMS meeting abstract template 2024
|CSDMS meeting abstract=The escalating rate of forest mortality, fueled by increasing climate variability and the spread of exotic pests and diseases, is a growing global concern. A significant contributor to this issue in North America is the Emerald Ash Borer (EAB), an invasive pest responsible for the widespread destruction of ash trees (Fraxinus spp.), resulting in a sharp increase in the number of snags. Snags, or dead-standing trees, present significant risks to infrastructure, including buildings and electrical distribution systems. Our study focuses on New Jersey, a highly urbanized state with an extensive electric grid that intersects forested areas, many of which are populated with Fraxinus trees. In this research, an annual risk assessment methodology for evaluating the threat that Fraxinus snags pose to the electrical distribution infrastructure is presented, particularly in the context of New Jersey's ongoing efforts to enhance the resiliency and capacity of its electric distribution network through capacity upgrades. Employing an integrated approach composed of GIS, differential equations, and applied regression modeling, our analysis spans three northern New Jersey counties: Warren, Sussex, and Morris. These counties, which are under the utility management of New Jersey Central Power and Light, harbor a significant portion of the state's Fraxinus population, making them crucial areas for assessing the impact of snags on the electrical distribution infrastructure under different network parameterizations.
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Latest revision as of 20:28, 5 April 2024



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The Spatial Impact of Fraxinus Snag Fall on Electric Distribution Infrastructure under Emerald Ash Borer Infestation


Erik Lyttek, Montclair State University East Hanover New Jersey, United States. elyttek@yahoo.com



The escalating rate of forest mortality, fueled by increasing climate variability and the spread of exotic pests and diseases, is a growing global concern. A significant contributor to this issue in North America is the Emerald Ash Borer (EAB), an invasive pest responsible for the widespread destruction of ash trees (Fraxinus spp.), resulting in a sharp increase in the number of snags. Snags, or dead-standing trees, present significant risks to infrastructure, including buildings and electrical distribution systems. Our study focuses on New Jersey, a highly urbanized state with an extensive electric grid that intersects forested areas, many of which are populated with Fraxinus trees. In this research, an annual risk assessment methodology for evaluating the threat that Fraxinus snags pose to the electrical distribution infrastructure is presented, particularly in the context of New Jersey's ongoing efforts to enhance the resiliency and capacity of its electric distribution network through capacity upgrades. Employing an integrated approach composed of GIS, differential equations, and applied regression modeling, our analysis spans three northern New Jersey counties: Warren, Sussex, and Morris. These counties, which are under the utility management of New Jersey Central Power and Light, harbor a significant portion of the state's Fraxinus population, making them crucial areas for assessing the impact of snags on the electrical distribution infrastructure under different network parameterizations.