Volume-area power law scaling, one of a set of analytical scaling techniques based on principals of dimensional analysis, has become an increasingly important and widely used method for estimating the future response of the world's glaciers and ice caps to environmental change. Over 60 papers since 1988 have been published in the glaciological and environmental change literature containing applications of volume-area scaling, mostly for the purpose of estimating total global glacier and ice cap volume and modeling future contributions to sea level rise from glaciers and ice caps. The application of the theory is not entirely straightforward, however, and many of the recently published results contain analyses that are in conflict with the theory as originally described by Bahr et al. (1997). In this review we describe the general theory of scaling for glaciers in full three-dimensional detail without simplifications, including an improved derivation of both the volume-area scaling exponent and a new derivation of the multiplicative scaling parameter . We discuss some common misconceptions of the theory, presenting examples of both appropriate and inappropriate applications. We also discuss potential future developments in power law scaling beyond its present uses, the relationship between power law scaling and other modeling approaches, and some of the advantages and limitations of scaling techniques.
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http://dx.doi.org/10.1002/2014RG000470 | DOI Listing |
Polymers (Basel)
August 2024
Faculty of Manufacturing Technologies with Seat in Prešov, Technical University of Košice, Bayerova 1, 080 01 Prešov, Slovakia.
This article deals with stress wave decay performance, analysing the stress wave propagation generated by an impulsive unit load in a 2D representative unit cell (RUC) of a polymer composite with circular particles representing spherical particles, elliptical particles, and short fibres. The micro-scale numerical simulation uses explicit finite element analysis (FEA). The micro-response to an impulsive unit load creates a stress wave amplitude interacting with the material structure and tends to weaken and absorb energy.
View Article and Find Full Text PDFWorld Neurosurg
November 2023
Department of Neurology and Stroke Center, Affiliate Dongguan People's Hospital, Southern Medical University, Dongguan, China; Postgraduate School, Guangdong Medical University, Zhanjiang, China. Electronic address:
Objective: Fifty percent of patients who undergo endovascular thrombectomy (EVT) for large-vessel occlusion exhibit unfavorable outcomes. The primary factor is attributed to persistent brain impairment even after successful EVT. The prominent vessel sign (PVS) on magnetic resonance susceptibility-weighted imaging reflects the territory of dysmetabolism and may facilitate an expeditious assessment for prognostication.
View Article and Find Full Text PDFFront Neurol
January 2023
Department of Neurology, Shenyang First People's Hospital, Shenyang Medical College, Shenyang, China.
Background: Midline shift (MLS) is troublesome problem that may occur in patients with a large infarct core (LIC) and may be related to the baseline infarct core volume. The purpose of this study was to explore the relationship between baseline infarct core volume and early MLS presence.
Materials And Methods: Patients with acute intracranial large artery occlusion and a pretreatment relative cerebral blood flow (rCBF) <30% volume ≥50 ml on CT perfusion (CTP) were included, clinical outcomes following endovascular treatment (EVT) were retrospectively analyzed.
Beijing Da Xue Xue Bao Yi Xue Ban
October 2022
Department of Neurology, Peking University First Hospital, Beijing 100034, China.
Objective: To analyze the feasibility of using vascular plaque quantification (VPQ) to evaluate carotid atherosclerotic plaques and to observe the effect of statins on carotid atherosclerotic plaques.
Methods: Patients with carotid plaques from January 2016 to September 2018 in Peking University First Hospital Neurology Department were recruited and underwent three-dimonsional ultrasound (3DUS). Their gray scale median (GSM) and other parameters of carotid plaques were measured with VPQ.
Purpose: Automatic segmentation of prostate magnetic resonance (MR) images is crucial for the diagnosis, evaluation, and prognosis of prostate diseases (including prostate cancer). In recent years, the mainstream segmentation method for the prostate has been converted to convolutional neural networks. However, owing to the complexity of the tissue structure in MR images and the limitations of existing methods in spatial context modeling, the segmentation performance should be improved further.
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