COVID-19 Impact Monitoring

10.1596/34768 ◽  
2020 ◽  
Author(s):  
◽  
Keyword(s):  
Impact Monitoring

APPLYING TAPHONOMIC APPROACHES TO LOW-IMPACT MONITORING OF INVASIVE SPECIES IN FLORIDA’S FRESHWATER SPRINGS AND RIVERS

2019 ◽  
Author(s):  
Kristopher M. Kusnerik ◽  
◽  
Alshina Kannai ◽  
Guy H. Means ◽  
Ryan Means ◽  
...  
Keyword(s):  
Invasive Species ◽  
Impact Monitoring ◽  
Freshwater Springs

scholarly journals New Tools for the Optimized Follow-Up of Imminent Impactors

Universe ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. 10
Author(s):  
Maddalena Mochi ◽  
Giacomo Tommei
Keyword(s):  
Orbit Determination ◽  
Main Belt ◽  
Impact Monitoring ◽  
The Earth ◽  
Current Observation ◽  
Short Period ◽  
Fly Eye ◽  
Near Earth Asteroids ◽  
Near Earth Objects

The solar system is populated with, other than planets, a wide variety of minor bodies, the majority of which are represented by asteroids. Most of their orbits are comprised of those between Mars and Jupiter, thus forming a population named Main Belt. However, some asteroids can run on trajectories that come close to, or even intersect, the orbit of the Earth. These objects are known as Near Earth Asteroids (NEAs) or Near Earth Objects (NEOs) and may entail a risk of collision with our planet. Predicting the occurrence of such collisions as early as possible is the task of Impact Monitoring (IM). Dedicated algorithms are in charge of orbit determination and risk assessment for any detected NEO, but their efficiency is limited in cases in which the object has been observed for a short period of time, as is the case with newly discovered asteroids and, more worryingly, imminent impactors: objects due to hit the Earth, detected only a few days or hours in advance of impacts. This timespan might be too short to take any effective safety countermeasure. For this reason, a necessary improvement of current observation capabilities is underway through the construction of dedicated telescopes, e.g., the NEO Survey Telescope (NEOSTEL), also known as “Fly-Eye”. Thanks to these developments, the number of discovered NEOs and, consequently, imminent impactors detected per year, is expected to increase, thus requiring an improvement of the methods and algorithms used to handle such cases. In this paper we present two new tools, based on the Admissible Region (AR) concept, dedicated to the observers, aiming to facilitate the planning of follow-up observations of NEOs by rapidly assessing the possibility of them being imminent impactors and the remaining visibility time from any given station.

Effect of tubing material on conventional and thin FBG sensor for embedded environment impact monitoring of CFRP composites

2016 ◽  
Author(s):  
Yurim Park ◽  
Pratik Shrestha ◽  
Hyunseok Kwon ◽  
Jin-Hyuk Kim ◽  
Heejung Kwon ◽  
...  
Keyword(s):  
Environment Impact ◽  
Fbg Sensor ◽  
Impact Monitoring ◽  
Cfrp Composites ◽  
Tubing Material

scholarly journals Impact hazard monitoring: theory and implementation

2015 ◽  
Vol 10 (S318) ◽  
pp. 221-230
Author(s):  
D. Farnocchia
Keyword(s):  
Hazard Assessment ◽  
Yarkovsky Effect ◽  
Monte Carlo Algorithms ◽  
Impact Monitoring ◽  
Successful Technique ◽  
Low Probability ◽  
Computationally Intensive ◽  
Orbit Estimation ◽  
Near Earth Asteroids ◽  
The Impact

AbstractWe review the most standard impact monitoring techniques. Linear methods are the fastest approach but their applicability regime is limited because of the chaotic dynamics of near-Earth asteroids. Among nonlinear methods, Monte Carlo algorithms are the most reliable ones but also most computationally intensive and so unpractical for routine impact monitoring. In the last 15 years, the Line of Variations method has been the most successful technique thanks to its computational efficiency and capability of detecting low probability events deep in the nonlinear regime. We also present some more recent techniques developed to deal with the new challenges arising in the impact hazard assessment problem. In particular, we describe keyhole maps as a tool to go beyond strongly scattering encounters and how to account for nongravitational perturbations, especially the Yarkovsky effect, when their contribution is the main source of prediction uncertainty. Finally, we discuss systematic ranging to deal with the short-term hazard assessment problem for newly discovered asteroids, when only a short observed arc is available thus leading to severe degeneracies in the orbit estimation process.

scholarly journals A review on compliance and impact monitoring indicators for delivery of forest ecosystem services

2015 ◽  
Author(s):  
Savilaakso S. ◽  
Meijaard E. ◽  
Guariguata M.R. ◽  
Boissiere M. ◽  
Putzel L.
Keyword(s):  
Ecosystem Services ◽  
Forest Ecosystem ◽  
Impact Monitoring ◽  
Forest Ecosystem Services

scholarly journals Trail impact monitoring in Rocky Mountain National Park, USA

2015 ◽  
Vol 7 (4) ◽  
pp. 3117-3149
Author(s):  
J. Svajda ◽  
S. Korony ◽  
I. Brighton ◽  
S. Esser ◽  
S. Ciapala
Keyword(s):  
National Parks ◽  
National Park ◽  
Abiotic Factors ◽  
Rocky Mountain ◽  
Rocky Mountain National Park ◽  
Negative Consequences ◽  
Cross Sectional ◽  
Impact Monitoring ◽  
Management Measures ◽  
The Usa

Abstract. This paper examines impacts of increased visitation leading to human trampling of vegetation and soil along several trails in Rocky Mountain National Park (RMNP) to understand how abiotic factors and level of use can influence trail conditions. RMNP is one of the most visited national parks in the USA with 3.3 million visitors in 2012 across 1075 km2 and 571 km of hiking trails. 95 % of the park is designated wilderness making the balance between preservation and visitor use challenging. This research involves the application of trail condition assessments to 56 km of trails to determine prevailing factors and what, if any, connection between them exist. The study looked at a variety of inventory and impact indicators and standards to determine their importance and to develop a baseline condition of trails. The data can be used for future comparison and evaluation of development trends. We found that trail widening (mean trail width 88.9 cm) and soil loss (cross sectional area 172.7 cm2) are the most visible effects of trail degradation. Further statistical analyses of data identified the role and influence of various factors (e.g. use level and topography). Insights into the influence of these factors can lead to the selection of appropriate management measures to avoid or minimize negative consequences from increased visitation.

scholarly journals Damages from extreme flooding events to cultural heritage and landscapes: water component estimation for Centa River (Albenga, Italy)

2018 ◽  
Vol 45 ◽  
pp. 389-395 ◽  
Author(s):  
Branka Cuca ◽  
Luigi Barazzetti
Keyword(s):  
River Estuary ◽  
Weather Conditions ◽  
Archaeological Site ◽  
Remote Access ◽  
Impact Monitoring ◽  
Medium Resolution ◽  
Ground Survey ◽  
Extreme Flooding ◽  
Flooded Area ◽  
Flooding Events

Abstract. The monitoring of hazardous events through change detection has an important role in the emergency management. Such actions can be performed shortly after the hazardous event for first rapid mapping but also over longer periods of time for recovery purposes and risk mapping. The use of medium resolution free-of-charge multi-spectral satellite imagery for purposes of flood extension and impact monitoring can be extremely valuable due to their ability to offer an “easy” and remote access to information, even in cases of extreme weather conditions, but also due to their high compatibility with GIS environments. The case study regards Centa River estuary that hosts an important archaeological site of Albenga within the boundaries of its riverbed. The authors propose a workflow that uses Copernicus Sentinel-2 data to provide the comparison changes firstly in the single relevant bands and successively in the indexes NDVI e NDWI, suitable for the estimation of water component. The results of this study were useful for observing the extension of the flooded area, to evaluate its impact on the archaeological remains and to further propose more targeted UAV-born and ground survey.

scholarly journals Sensor Distribution Optimization for Structural Impact Monitoring Based on NSGA-II and Wavelet Decomposition

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4264 ◽  
Author(s):  
Peng Li ◽  
Liuwei Huang ◽  
Jiachao Peng
Keyword(s):  
Wavelet Decomposition ◽  
Principal Component ◽  
Experimental System ◽  
Vibration Signal ◽  
The Finite Element Method ◽  
Nsga Ii ◽  
Impact Monitoring ◽  
Impact Location ◽  
Average Accuracy ◽  
The Impact

Optimal sensor placement is a significant task for structural health monitoring (SHM). In this paper, an SHM system is designed which can recognize the different impact location and impact degree in the composite plate. Firstly, the finite element method is used to simulate the impact, extracting numerical signals of the structure, and the wavelet decomposition is used to extract the band energy. Meanwhile, principal component analysis (PCA) is used to reduce the dimensions of the vibration signal. Following this, the non-dominated sorting genetic algorithm (NSGA-II) is used to optimize the placement of sensors. Finally, the experimental system is established, and the Product-based Neural Network is used to recognize different impact categories. Three sets of experiments are carried out to verify the optimal results. When three sensors are applied, the average accuracy of the impact recognition is 59.14%; when the number of sensors is four, the average accuracy of impact recognition is 76.95%.

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