GMES-service for assessing and monitoring subsidence hazards in coastal lowland areas around Europe. SubCoast D3.5.1

This document is version two of the user requirements for SubCoast work package 3.5, it is SubCoast deliverable 3.5.1. Work package 3.5 aims to provide a European integrated GIS product on subsidence and relative sea level rise. The first step of this process was to contact the European Environment Agency as the main user to discover their user requirements. This document presents these requirments, the outline methodology that will be used to carry out the integration and the datasets that will be used. In outline the main user requirements of the EEA are: 1. Gridded approach using an Inspire compliant grid 2. The grid would hold data on: a. Likely rate of subsidence b. RSLR c. Impact (Vulnerability) d. Certainty (confidence map) e. Contribution of ground motion to RSLR f. A measure of certainty in the data provided g. Metadata 3. Spatial Coverage - Ideally entire coastline of all 37 member states a. Spatial resolution - 1km 4. Provide a measure of the degree of contribution of ground motion to RSLR The European integration will be based around a GIS methodology. Datasets will be integrated and interpreted to provide information on data vlues above. The main value being a likelyhood of Subsidence. This product will initially be developed at it’s lowest level of detail for the London area. BGS have a wealth of data for london this will enable this less detialed product to be validated and also enable the generation of a more detailed product usig the best data availible. One the methodology has been developed it will be pushed out to other areas of the ewuropean coastline. The initial input data that have been reviewed for their suitability for the European integration are listed below. Thesea re the datasets that have European wide availibility, It is expected that more detailed datasets will be used in areas where they are avaiilble. 1. Terrafirma Data 2. One Geology 3. One Geology Europe 4. Population Density (Geoland2) 5. The Urban Atlas (Geoland2) 6. Elevation Data a. SRTM b. GDEM c. GTOPO 30 d. NextMap Europe 7. MyOceans Sea Level Data 8. Storm Surge Locations 9. European Environment Agencya. Elevation breakdown 1km b. Corine Land Cover 2000 (CLC2000) coastline c. Sediment Discharges d. Shoreline e. Maritime Boundaries f. Hydrodynamics and Sea Level Rise g. Geomorphology, Geology, Erosion Trends and Coastal Defence Works h. Corine land cover 1990 i. Five metre elevation contour line 10. FutureCoas

Land Grant Application- Jordan, James (Monroe)

Land grant application submitted to the Maine Land Office on behalf of James Jordan for service in the Revolutionary War, by their widow Hannah.https://digitalmaine.com/revolutionary_war_me_land_office/1509/thumbnail.jp

Land Grant Application- Jordan, Abner (Danville)

Land grant application submitted to the Maine Land Office on behalf of Abner Jordan for service in the Revolutionary War, by their widow Hannah.https://digitalmaine.com/revolutionary_war_me_land_office/1512/thumbnail.jp

A NON-DETERMINISTIC DEEP LEARNING BASED SURROGATE FOR ICE SHEET MODELING

Surrogate modeling is a new and expanding field in the world of deep learning, providing a computationally inexpensive way to approximate results from computationally demanding high-fidelity simulations. Ice sheet modeling is one of these computationally expensive models, the model used in this study currently requires between 10 and 20 minutes to complete one simulation. While this process is adequate for certain applications, the ability to use sampling approaches to perform statistical inference becomes infeasible. This issue can be overcome by using a surrogate model to approximate the ice sheet model, bringing the time to produce output down to a tenth of a second or less. In this paper, we introduce the use of a conditional variational autoencoder as a surrogate model for approximating an ice sheet model producing surface velocity predictions. For a fair comparison, we test both deterministic and stochastic approaches and discuss the drawbacks and benefits to both model types. We train a standard vanilla neural network architecture, a neural network architecture using dropout and normalization, and a neural network with added dimensionality reduction using principal component analysis. These surrogate models produce output that is representative of the high-fidelity data, but there is variability between the surrogate and high-fidelity model. This divergence cannot be determined for a deterministic model without further analysis such as model ensembling. The use of a stochastic network, such as the conditional variational autoencoder, provides a solution to this problem. This network provides us with a method to quantify the uncertainty within the surrogate using the model\u27s natural stochasticity. This implementation has the potential to be applied across multiple fields because of the black box nature of the architecture

Indicators of the Anthropocene: is there a case for conservation?

The Earth's atmosphere, biosphere and lithosphere are increasingly being modified by human activity. Given this anthropogenic influence on the natural environment, the case for recognizing an Anthropocene Epoch has recently been made and there is ongoing debate as to whether, and how, to formally characterize and define such an epoch. As a contribution to this debate, this article explores whether or not the landscapes, deposits, landforms and key marker horizons that may be used to characterize and define an Anthropocene Epoch could, and should, be identified and conserved in the same manner as other parts of the geological succession. Anthropogenic features pose a conservation challenge, however, as they often cross cut existing conservation frameworks which tend to focus on the natural, historic or cultural environment. Developing a coherent approach to the conservation of the indicators of an Anthropocene Epoch would, therefore, require an integrated system of describing, auditing and designating features for conservation. A major benefit of such an approach would be the opportunities for interdisciplinary collaboration between the wide range of researchers interested or involved in studying and conserving the record of anthropogenic activity

Interview with Julie Chon (Chon’s Market)

Julie Chon is a photographer and the granddaughter of the owner of Chon’s Market in Marina, California.https://digitalcommons.csumb.edu/asia-pacific-foodways_interviews/1001/thumbnail.jp

Koch Industries, Inc. Strategie Corporate Research Report

[Excerpt] With its 2005 purchase of paper giant Georgia-Pacific, Koch Industries became the largest privately-held corporation in North America. Originally started as an oil production and refining firm in the first half of the twentieth century, Koch now has major operations in petroleum, chemicals, energy, fibers and polymers, minerals, fertilizers, chemical technology equipment, forest and consumer products, ranching, trading, and securities and finance. The company, based in Wichita, Kansas, employs 80,000 people in sixty countries worldwide. Koch’s oil operations are run primarily through the Flint Hills Resources family of subsidiaries, which has a production capacity of about 800,000 barrels of crude oil daily. Another one of Koch’s major ventures, synthetic textiles, operates through the company’s wholly-owned subsidiary, INVISTA, which produces both consumer and commodity textiles. Koch’s newest project, forest and consumer products, operates through Georgia-Pacific, which remains an independent but wholly-owned subsidiary of Koch Industries

Comparing a Georgia Reservoir With Solar-Powered Mixers to Another Without Mixers: Assessing Thermal and Oxygen Saturation and Nutrient Dispersion

Harmful algal blooms (HABs) have been increasing over the last 50 years due to anthropogenic nutrient enrichment and increasing temperatures. One HAB control method is the use of solar-powered mixers. In this study we investigated the timing of thermal stratification, depth of the thermocline and oxycline, and dispersion of nutrients within the water column by comparing two reservoirs in Georgia, U.S.A. over a three-year period – Lake Varner (LV), which utilizes mixers, and Hard Labor Creek Reservoir (HLCR), which does not. Our data show that the onset of thermal stratification is within ± 2 days and appears at the same depth within both reservoirs. The timing of fall turnover consistently occurred one month earlier in LV than in HLCR. Both reservoirs had similar oxygen profiles during stratification, but in LV, dissolved oxygen levels increased more quickly in autumn compared to HLCR in all years. Both reservoirs had similar nutrient concentrations throughout the years and water column. These findings suggest the thermal, oxygen, and nutrient dynamics in the reservoirs are similar, despite LV having solar-powered mixers. Any differences can be attributed to LV being a slightly smaller and shallower reservoir

Prospectus, March 4, 2015

FACEBOOK ADDS NEW GENDER OPTION FOR USERS; Anti-Israel divestment push gains traction at US colleges; Rauner budget could cut Amtrak trains; Students celebrate the Chinese New Year; Debate rages over color of dress photographed in rare light; Millions affected if health subsidies are barred; Illinois\u27 benefits remain an issue; Officials: US report finds racial bias in Ferguson Police Department; Lady Cobras On a Roll...; New second stage generating buzzhttps://spark.parkland.edu/prospectus_2015/1027/thumbnail.jp

Prospectus, February 4, 2015

What motivates students?, Parkland College promotes faculty to new dean positions(Parkland Marketing and Public Relations), What makes a successful class, good students or good instructors?, New grants help language students study overseas(Parkland Marketing and Public Relations), Student Healthcare 101: What new tax rules mean for you, Both sides in Keystone XL debate bend facts(AP), NIU students press for underage access to bars(AP), Boston celebrates Super Bowl victory(AP), Athletic Hall of Fame Class Honored Saturday(Parkland Marketing and Public Relations)https://spark.parkland.edu/prospectus_2015/1001/thumbnail.jp