Why a Standardization of Strontium Isotope Baseline Environmental Data Is Needed and Recommendations for Methodology

2017 ◽  
Vol 5 (2) ◽  
pp. 184-195 ◽  
Author(s):  
Deanna N. Grimstead ◽  
Selin Nugent ◽  
Jean Whipple
Keyword(s):  
Sampling Strategy ◽  
Baseline Data ◽  
Strontium Isotope ◽  
Environmental Data ◽  
Semiarid Region ◽  
Environmental Sampling ◽  
Sr Isotope ◽  
Data Collections ◽  
Field Planning

ABSTRACTSince initial applications of strontium isotope human sourcing in the early 1990s, the use of the method has steadily increased in archaeology and in anthropology more broadly. Despite this trend, the collection of necessary baseline environmental data has not been standardized and sometimes does not occur at all. A thorough environmental sampling strategy will ensure that all the variability within a selected region is documented, which is a critical step to improving the accuracy of sourcing studies. Furthermore, shared strontium baseline data collections are needed to improve the intercomparability of datasets and results. This paper provides a case study from a semiarid region in northwestern New Mexico, USA, highlighting the need for a bottom-up approach to baseline data collection (from bedrock to animal) and describes the methods of pre-field planning and collecting, including rationales for what samples to collect for Sr isotope baseline data. The authors hope that this paper will lay a foundation for the implementation and standardization of Sr isotope baseline data collecting, which does not currently exist.

Problems with environmental data: A case study in climatology

1984 ◽  
Vol 22 (2) ◽  
pp. 103-108 ◽  
Author(s):  
John F. Griffiths ◽  
Kevin C. Vining
Keyword(s):  
Environmental Data

Management of water supply systems from interbasin transfers: case study in the Brazilian semiarid region

2021 ◽  
pp. 1-12
Author(s):  
José Almir Cirilo ◽  
Alfredo Ribeiro Neto ◽  
Nyadja Menezes Rodrigues Ramos ◽  
Carla Fernanda Fortunato ◽  
Júlia Daniele Silva de Souza ◽  
...  
Keyword(s):  
Water Supply ◽  
Semiarid Region ◽  
Water Supply Systems ◽  
Brazilian Semiarid ◽  
Interbasin Transfers ◽  
Supply Systems

Risk assessment and copper geochemistry of an orchard irrigated with mine water: a case study in the semiarid region of Brazil

2018 ◽  
Vol 41 (2) ◽  
pp. 603-615
Author(s):  
Daniel P. Oliveira ◽  
Gabriel N. Nóbrega ◽  
Francisco Ruiz ◽  
Fábio Perlatti ◽  
Arlete A. Soares ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Mine Water ◽  
Semiarid Region

Digital twin-driven complexity management in intelligent manufacturing

Digital Twin ◽  
2021 ◽  
Vol 1 ◽  
pp. 9
Author(s):  
Yuchen Wang ◽  
Xingzhi Wang ◽  
Fei Tao ◽  
Ang Liu
Keyword(s):  
Intelligent Manufacturing ◽  
Production Lines ◽  
Human Machine Interaction ◽  
Digital Twin ◽  
Complexity Management ◽  
Manufacturing Complexity ◽  
Design Production ◽  
Data Collections ◽  
Machine Interaction

Complexity management is one of the most crucial and challenging issues in manufacturing. As an emerging technology, digital twin provides an innovative approach to manage complexity in a more autonomous, analytical and comprehensive manner. This paper proposes an innovative framework of digital twin-driven complexity management in intelligent manufacturing. The framework will cover three sources of manufacturing complexity, including product design, production lines and supply chains. Digital twin provides three services to manage complexity: (1) real-time monitors and data collections; (2) identifications, diagnoses and predictions of manufacturing complexity; (3) fortification of human-machine interaction. A case study of airplane manufacturing is presented to illustrate the proposed framework.

Sharing transferable methods in environmental data science: A Fuzzy changepoint approach to numerical model evaluation over Greenland.

2021 ◽  
Author(s):  
Michael Hollaway ◽  
Peter Henrys ◽  
Rebecca Killick ◽  
Amber Leeson ◽  
John Watkins
Keyword(s):  
Numerical Model ◽  
Data Science ◽  
Environmental Science ◽  
Numerical Models ◽  
Environmental Data ◽  
Resolution Model ◽  
Changepoint Analysis ◽  
Temperature Records ◽  
Temporal Events

<p>     Numerical models are essential tools for understanding the complex and dynamic nature of the natural environment and how it will respond to a changing climate. With ever increasing volumes of environmental data and increased availability of high powered computing, these models are becoming more complex and detailed in nature. Therefore the ability of these models to represent reality is critical in their use and future development. This has presented a number of challenges, including providing research platforms for collaborating scientists to explore big data, develop and share new methods, and communicate their results to stakeholders and decision makers. This work presents an example of a cloud-based research platform known as DataLabs and how it can be used to simplify access to advanced statistical methods (in this case changepoint analysis) for environmental science applications.</p><p>     A combination of changepoint analysis and fuzzy logic is used to assess the ability of numerical models to capture local scale temporal events seen in observations. The fuzzy union based metric factors in uncertainty of the changepoint location to calculate individual similarity scores between the numerical model and reality for each changepoint in the observed record. The application of the method is demonstrated through a case study on a high resolution model dataset which was able to pick up observed changepoints in temperature records over Greenland to varying degrees of success. The case study is presented using the DataLabs framework, demonstrating how the method can be shared with other users of the platform and the results visualised and communicated to users of different areas of expertise.</p>

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