An Integrated Approach to System-Wide Landslide Monitoring in the Appalachian Basin Region of the U.S.

Author(s):  
Bailey Theriault ◽  
John Hennessy ◽  
Chris Markley

Abstract Landslides have the potential to adversely affect the integrity of pipelines. Identifying, characterizing, evaluating, and if necessary, mitigating and monitoring landslide hazards have become critical steps to successfully and safely building and operating pipelines in the Appalachian Basin region of the United States. Natural geologic, geographic, and climatic conditions in this region combine to create a high incidence of landslides, with landslide formation and movement often exacerbated by anthropogenic activity. Rapid expansion of pipeline construction and operation in the region, along with the ever-decreasing availability of preferred routing options, have resulted in increased landslide-related pipeline incidences, both during and post-construction. As such, there is an increasing need to identify, characterize, and closely monitor landslide hazards throughout the construction and operational lifespan of each pipeline system. This can prove challenging in an area where a pipeline may be subject to an average of two to five landslides per mile of pipeline, and where new landslide hazards may develop on an annual basis. Typical site-specific monitoring approaches (e.g., strain gauge, inclinometers, monitoring points, etc.) may not be economically feasible to use for all hazards when traversing long distances of such terrain, and such approaches likely do not address the need to identify new hazards that may develop over time (e.g., new or reactivated landslides). Strong monitoring programs should seek to identify and use complimentary technologies to balance out the relative strengths and weaknesses of each. Overdependence on a single or select number of tools could lead to overconfidence and an unnecessary number of false positives and negatives. This paper will provide an overview of monitoring approaches that have proven useful for the long-term monitoring and assessment of high density landslide areas at a system-wide scale, including the use of repeat LiDAR surveys (i.e., LiDAR Change Detection Analysis), in-line inspection (ILI) inertial measurement unit (IMU) data, aerial patrol/reconnaissance, and ground patrol. Case studies will be presented from the Appalachian Basin region, including how monitoring techniques were selected based on specific pipeline system configurations and individual Operator objectives, and how they are being used to track existing hazards and to identify hazards as they develop.

Author(s):  
Martin P. Derby ◽  
Bailey Theriault

Abstract Geohazards have the potential to adversely affect the operation or integrity of an existing pipeline, or the routing, design, and construction of a proposed pipeline. Identifying, characterizing, evaluating, and if necessary, mitigating and monitoring geologic hazards have become critical steps to successfully and safely building and operating pipelines in the Appalachian Basin region of the United States. The recent, rapid expansion of pipeline construction and operation in the region, along with natural geologic and geographic conditions which are conducive to landsliding and ground subsidence, have resulted in a recent increase in geohazard-related incidences both during and post-construction of pipelines. As such, there is an increasing need to recognize, understand, and closely manage geohazards in this region, prior to, during, and post-construction of pipelines. This paper will provide an overview of essential tools that have proven most useful in this region, to identify, characterize, and ultimately mitigate and monitor potential geohazards. This paper will also provide insight on how to evaluate specific project needs and best-fit approaches and solutions for the project at hand, to reduce the operator’s risk. A case study will be presented from the Appalachian Basin region, including how a phased approach was used to assess and manage geohazards. The phased approach includes (1) Phase I Assessments, which consist of a regional-scale desktop assessment to identify, initially characterize, and qualitatively classify (e.g., low, moderate, high hazards) geohazards; (2) Phase II Assessments, which consist of a non-intrusive ground reconnaissance completed at targeted sites; and (3) Phase III Assessments, which consist of subsurface investigations such as drilling, test pitting, or geophysical surveys to further characterize specific hazards. The information obtained from the phased approach can be used for the design of mitigation and/or monitoring, if deemed necessary. Overall approaches to selecting and utilizing best-fit mitigation and monitoring options, both during and post-construction, fit for the regional conditions and to the individual project, will also be discussed.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Bryan Angelo P. Roxas ◽  
Jennifer Lising Roxas ◽  
Rachel Claus-Walker ◽  
Anusha Harishankar ◽  
Asad Mansoor ◽  
...  

AbstractClostridioides difficile infection (CDI) is a major healthcare-associated diarrheal disease. Consistent with trends across the United States, C. difficile RT106 was the second-most prevalent molecular type in our surveillance in Arizona from 2015 to 2018. A representative RT106 strain displayed robust virulence and 100% lethality in the hamster model of acute CDI. We identified a unique 46 KB genomic island (GI1) in all RT106 strains sequenced to date, including those in public databases. GI1 was not found in its entirety in any other C. difficile clade, or indeed, in any other microbial genome; however, smaller segments were detected in Enterococcus faecium strains. Molecular clock analyses suggested that GI1 was horizontally acquired and sequentially assembled over time. GI1 encodes homologs of VanZ and a SrtB-anchored collagen-binding adhesin, and correspondingly, all tested RT106 strains had increased teicoplanin resistance, and a majority displayed collagen-dependent biofilm formation. Two additional genomic islands (GI2 and GI3) were also present in a subset of RT106 strains. All three islands are predicted to encode mobile genetic elements as well as virulence factors. Emergent phenotypes associated with these genetic islands may have contributed to the relatively rapid expansion of RT106 in US healthcare and community settings.


2017 ◽  
Vol 18 (1) ◽  
pp. 28-34 ◽  
Author(s):  
Chandrasekar (Shaker) S. Kousik ◽  
Pingsheng Ji ◽  
Daniel S. Egel ◽  
Lina M. Quesada-Ocampo

About 50% of the watermelons in the United States are produced in the southeastern states, where optimal conditions for development of Phytophthora fruit rot prevail. Phytophthora fruit rot significantly limits watermelon production by causing serious yield losses before and after fruit harvest. Efficacy of fungicide rotation programs and Melcast-scheduled sprays for managing Phytophthora fruit rot was determined by conducting experiments in Phytophthora capsici-infested fields at three locations in southeastern United States (North Carolina, South Carolina, and Georgia). The mini seedless cultivar Wonder and seeded cultivar Mickey Lee (pollenizer) were used. Five weekly applications of fungicides were made at all locations. Significant fruit rot (53 to 91%, mean 68%) was observed in the nontreated control plots in all three years (2013 to 2015) and across locations. All fungicide rotation programs significantly reduced Phytophthora fruit rot compared with nontreated controls. Overall, the rotation of Zampro alternated with Orondis was highly effective across three locations and two years. Rotations of Actigard followed by Ranman+Ridomil Gold, Presidio, V-10208, and Orondis, or rotation of Revus alternated with Presidio were similarly effective. Use of Melcast, a melon disease-forecasting tool, may occasionally enable savings of one spray application without significantly impacting control. Although many fungicides are available for use in rotations, under very heavy rain and pathogen pressure, the fungicides alone may not offer adequate protection; therefore, an integrated approach should be used with other management options including well-drained fields.


Viruses ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1811
Author(s):  
John M. Humphreys ◽  
Angela M. Pelzel-McCluskey ◽  
Lee W. Cohnstaedt ◽  
Bethany L. McGregor ◽  
Kathryn A. Hanley ◽  
...  

Mosquito-borne West Nile virus (WNV) is the causative agent of West Nile disease in humans, horses, and some bird species. Since the initial introduction of WNV to the United States (US), approximately 30,000 horses have been impacted by West Nile neurologic disease and hundreds of additional horses are infected each year. Research describing the drivers of West Nile disease in horses is greatly needed to better anticipate the spatial and temporal extent of disease risk, improve disease surveillance, and alleviate future economic impacts to the equine industry and private horse owners. To help meet this need, we integrated techniques from spatiotemporal epidemiology, eco-phylogenetics, and distributional ecology to assess West Nile disease risk in horses throughout the contiguous US. Our integrated approach considered horse abundance and virus exposure, vector and host distributions, and a variety of extrinsic climatic, socio-economic, and environmental risk factors. Birds are WNV reservoir hosts, and therefore we quantified avian host community dynamics across the continental US to show intra-annual variability in host phylogenetic structure and demonstrate host phylodiversity as a mechanism for virus amplification in time and virus dilution in space. We identified drought as a potential amplifier of virus transmission and demonstrated the importance of accounting for spatial non-stationarity when quantifying interaction between disease risk and meteorological influences such as temperature and precipitation. Our results delineated the timing and location of several areas at high risk of West Nile disease and can be used to prioritize vaccination programs and optimize virus surveillance and monitoring.


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