Continental-scale early flood warning systems in Europe can provide significant monetary benefits by reducing flood damage and associated costs. Specifically, a new study found that the return from the European Flood Awareness System (EFAS) and available flood damage data has the potential to be as high as approximately 400 euros for every one euro invested.

It is possible to design long-term coastal defence strategies that can be adapted to a range of potential climate change impacts, if prevention measures are considered over larger rather than smaller coastal scales, according to recent research.

Constructed wetlands can effectively remove veterinary drugs from wastewater, preventing contamination of the environment, research suggests. A recent study has demonstrated that laboratory-scale constructed wetlands were able to remove between 94 and 98% of two commonly used antibiotics from pig farm wastewater.

Construction of Concentrated Solar Power (CSP) plants – electricity generation which concentrates sunlight to generate heat – can have a range of negative effects on wildlife, but these effects are short lived, new research has found. Once in use, CSP plants can even have some positive effects, reducing soil erosion, for instance.

There is increasing policy demand for the ‘scaling-up’ of ecosystem service valuations to a national or regional level, but available methods for doing this are limited. A new study has proposed a new scaling-up methodology and tested it by assessing the impact of climate change on European wetlands.

Despite the contribution that large-scale, intensive agriculture has made to global food production, food shortages still occur with particularly severe consequences for the poor. More investment in locally-led, small-scale farming would help ensure longer-term food security for the world’s most vulnerable under a changing climate and bring environmental benefits, according to a recent analysis of adaptation work in Uganda.

Human activities are threatening river ecosystems in the Mediterranean. Recent research in south-east Spain has highlighted the need to assess biodiversity and the ecological condition of river ecosystems at both basin-wide and local scales. The researchers say this will provide a better assessment of river ecosystems, aiding management decisions.

The EU Water Framework Directive1 requires policymakers to consider the management of water e.g. in rivers, lakes and streams, at the scale of the river basin, but can wastewater treatment systems be managed at the same scale? To help policymakers answer this question, a team of Spanish researchers have created a method for assessing the integrated operation of wastewater treatment plants in a river basin. Uniquely, the method considers both local and global environmental factors and an economic assessment.

Biodiversity experts working in governance and science have called for greater integration of policy sectors, geographical levels and academic disciplines, in a stakeholder workshop. This would help ensure policy decisions realistically reflect complex relationships between ecological and governance processes in order to meet future biodiversity targets.

Conservation partnerships that span geographic, biological and administrative boundaries are needed to deal with many global environmental problems. However, there are challenges to managing these complex, large-scale programmes that involve many partners and stakeholders. A new study examines the nature of these challenges and identifies the factors that lead to partnership success.

Invasive alien species pose a threat to biodiversity, human health and the economy. This study describes six alien species indicators for Europe, showing that the scale and impact of biological invasions are increasing across all indicators. The societal response has also increased in recent years. The researchers say their framework could serve as a basis for monitoring the efficacy of recent EU legislation.

Assessing threats to biodiversity is necessary for effective spatial planning and balancing sustainable development with conservation. This study details a fine-scale assessment of the effect of a range of threats to coastline habitats within a Marine Protected Area (MPA) in the Mediterranean Sea. The study provides an example of how local-scale assessments can contribute to national conservation policy.

Transport infrastructure is so widespread in Europe that half of the land area is within 1.5 kilometres (km) of paved roads and railway lines, researchers have calculated. The researchers found that in Spain, transport infrastructure has an impact on the abundance of birds in almost half of the country and is affecting the abundance of mammals across almost all of the land area.

Nanolithography — a way of making finely detailed patterns or structures, such as those found in advanced computer microchips, uses toxic and corrosive chemicals. Researchers have now shown that these could be replaced with eco-friendly silk proteins and water, eliminating the need to use and dispose of hazardous chemicals, while achieving similar levels of detail to conventional methods.

Researchers have shown that in the Baltic Sea the abundance of common fish species, used as an indicator of ecosystem health, is influenced by climate-related oceanic conditions at a local scale, such as sea temperature. The researchers suggest, therefore, that the environmental status of coastal fish communities in the region should be assessed and managed at a local scale.

Traces of animals’ DNA in the environment, known as environmental DNA (eDNA), can be monitored to paint a picture of biodiversity, new research shows. This study used eDNA to assess biodiversity in an entire river catchment in Switzerland. Importantly, the eDNA technique allowed the researchers to detect both aquatic and land-based species in river water, making it possible to assess biodiversity over a broad scale.

High-throughput ‘omics’ technologies, which allow exact and synchronised study of thousands of DNA, RNA, proteins and other molecules, are rapidly becoming more advanced and affordable. As these technologies develop, it is becoming quicker, easier and more affordable to generate unprecedented amounts of biological data, much of which could usefully inform environmental management. So far, however, the application of omics information in environmental management has failed to keep pace with the rapid development of omics-based research, meaning there is untapped potential. A recent study highlights the value of bringing omics information into environmental management and outlines practical ways in which omics can contribute to the risk assessment and management of chemicals.

April 15, 2013, the date of the Boston Marathon bombings, was the saddest recorded day in five years.

Whole Foods Market unveils a rating system for household cleaning products sold in its stores. But is additional transparency really necessary in a store that a

SRI, the system of rice intensification, has taken agribusiness giants by surprise with its record-breaking harvests across the globe.

Florida officials say they've bagged one of the biggest Burmese pythons ever found in the state: an 18.2-foot-long female weighing some 150 pounds.

The Bortle Light Pollution Scale is a good model for understanding how tainted our night skies are by light pollution.

Star Count 2019 engages stargazers in England and draws attention to the growing threat of light pollution.

Video: What happens when the fruits and veggies at your local grocery store go bad?

Although nanorobots made of DNA have been developed before, these spiders can move over greater distances and follow complex commands.

Utility-scale solar power requires a lot of land. But there are ways to work around that problem.

insects in German forests and grasslands have declined by about one-third in just the past decade.

･ PT. MITSUBISHI HEAVY INDUSTRIES INDONESIA will strengthen functions of previous Jakarta liaison office ･ Enhanced status will boost MHI's presence in Indonesia

Renewables aren't just clean; they can be incredibly fast to deploy, too.

Acquisition Results in an Unparalleled Connected Health Experience for Individuals, Hospitals, and Healthcare Organizations Nationwide

Produce High Value Biochemicals at Investor Friendly Cost Effective Capex

Industrial construction and engineering company provides services for large projects in southern california

Michael Schrage, research fellow at MIT Sloan School's Center for Digital Business and author of "Serious Play."

I’ve written about my love of seascapes, but I truly love landscapes too, especially ones that have a vintage vibe when they’re enlarged on a canvas or a big frame. Landscapes have that power to transport you outdoors and to another place, something we could all use a little more of right now. :) I’m

The new partnership will allow researchers and companies to take full advantage of powerful data solutions to speed the development of a vaccine, at no cost

David Rohde points us to this new seminar series that has the following description: Machine learning is changing the world we live in at a break neck pace. From image recognition and generation, to the deployment of recommender systems, it seems to be breaking new ground constantly and influencing almost every aspect of our lives. […]

Crews repaired one of the pumps at Indian Garden and park managers feel confident that enough water is in storage to scale back to Level 1 basic water conservation measures. https://www.nps.gov/grca/learn/news/level-1-water-conservation.htm

Air quality is a critical issue affecting the health of billions of people worldwide, yet often little is known about what is in the air we breathe. To reduce air pollution’s health impacts, pollution sources must first be reliably identified. Otherwise, it is impossible to design and effectively enforce environmental standards. However, urban networks of air quality monitors are often too widely spaced to identify the sources of air pollutants, especially for pollutants that do not disperse far from their sources. Developing high-resolution pollution maps with data from these widely spaced monitors is problematic.

Two methods of implementing a change of image from grayscale to color.

We review 12 large-scale silviculture experiments (LSSEs) in western Washington and Oregon with which the Pacific Northwest Research Station of the USDA Forest Service is substantially involved. We compiled and arrayed information about the LSSEs as a series of matrices in a relational database, which is included on the compact disc published with this report and available online at http://www.fs.fed.us/pnw/research/lsse. The LSSEs are both spatially and temporally large scale, with experimental treatment units between 5 and 100 acres and proposed study durations of 20 to 200 years. A defining characteristic of the LSSEs is that a broad range of response variables are measured to characterize the response of forest ecosystems to experimental treatments. We discuss the general value and limitations of the LSSEs and highlight some possible roles that can be played by the LSSEs in addressing management issues emerging at the beginning of the 21st century.

Development of a regional lichen gradient model from community data is a powerful tool to derive lichen indexes of response to environmental factors for large-scale and long-term monitoring of forest ecosystems. The Forest Inventory and Analysis (FIA) Program of the U.S. Department of Agriculture Forest Service includes lichens in its national inventory of forests of the United States, to help monitor the status of forested ecosystems.

Over the past decade, the use of wood for thermal energy in Alaska has grown significantly. Since 2000, nearly 30 new thermal wood-energy installations in Alaska have been established.

This research models a wood pellet heating system at the Tlingit-Haida Regional Housing Authority in Juneau, Alaska, used to provide thermal energy to a 929-m2 warehouse, as an alternative to a heating system that burns more costly fossil fuels. Research objectives were to evaluate project economics of the pellet system and to conduct cost:benefit analysis on key variables (initial capital cost, fuel oil cost, and wood pellet cost). Economic results of interest included net present value, payback, internal rate of return, and cost:benefit ratio. Monte Carlo simulations were conducted using RETScreen software with the parameters of heating oil cost, wood pellet cost, fuel price escalation, and heating load. Cost:benefit analysis was conducted for capital cost versus wood fuel cost and also versus alternative fuel cost. This research found that economic performance was favorable over a wide range of normal operating conditions, even when paying a relatively high price for wood fuel. A pellet production facility in southeast Alaska could lead to lower wood fuel costs and even more favorable regional economics.

Researchers are warning that the coronavirus pandemic could inflict long-lasting emotional trauma on an unprecedented global scale. They say it could leave millions wrestling with debilitating psychological disorders while dashing hopes for a swift economic recovery.

We establish the functional convex order results for two scaled McKean-Vlasov processes $X=(X_{t})_{tin[0, T]}$ and $Y=(Y_{t})_{tin[0, T]}$ defined by

[egin{cases} dX_{t}=(alpha X_{t}+eta)dt+sigma(t, X_{t}, mu_{t})dB_{t}, quad X_{0}in L^{p}(mathbb{P}),\ dY_{t}=(alpha Y_{t},+eta)dt+ heta(t, Y_{t}, u_{t})dB_{t}, quad Y_{0}in L^{p}(mathbb{P}). end{cases}] If we make the convexity and monotony assumption (only) on $sigma$ and if $sigmaleq heta$ with respect to the partial matrix order, the convex order for the initial random variable $X_0 leq Y_0$ can be propagated to the whole path of process $X$ and $Y$. That is, if we consider a convex functional $F$ with polynomial growth defined on the path space, we have $mathbb{E}F(X)leqmathbb{E}F(Y)$; for a convex functional $G$ defined on the product space involving the path space and its marginal distribution space, we have $mathbb{E},Gig(X, (mu_t)_{tin[0, T]}ig)leq mathbb{E},Gig(Y, ( u_t)_{tin[0, T]}ig)$ under appropriate conditions. The symmetric setting is also valid, that is, if $ heta leq sigma$ and $Y_0 leq X_0$ with respect to the convex order, then $mathbb{E},F(Y) leq mathbb{E},F(X)$ and $mathbb{E},Gig(Y, ( u_t)_{tin[0, T]}ig)leq mathbb{E},G(X, (mu_t)_{tin[0, T]})$. The proof is based on several forward and backward dynamic programming and the convergence of the Euler scheme of the McKean-Vlasov equation.

Traffic signs are essential map features globally in the era of autonomous driving and smart cities. To develop accurate and robust algorithms for traffic sign detection and classification, a large-scale and diverse benchmark dataset is required. In this paper, we introduce a traffic sign benchmark dataset of 100K street-level images around the world that encapsulates diverse scenes, wide coverage of geographical locations, and varying weather and lighting conditions and covers more than 300 manually annotated traffic sign classes. The dataset includes 52K images that are fully annotated and 48K images that are partially annotated. This is the largest and the most diverse traffic sign dataset consisting of images from all over world with fine-grained annotations of traffic sign classes. We have run extensive experiments to establish strong baselines for both the detection and the classification tasks. In addition, we have verified that the diversity of this dataset enables effective transfer learning for existing large-scale benchmark datasets on traffic sign detection and classification. The dataset is freely available for academic research: https://www.mapillary.com/dataset/trafficsign.

Deep learning-based models, such as convolutional neural networks, have advanced various segments of computer vision. However, this technology is rarely applied to seismic shot gather noise localization problem. This letter presents an investigation on the effectiveness of a multi-scale feature-fusion-based network for seismic shot-gather noise localization. Herein, we describe the following: (1) the construction of a real-world dataset of seismic noise localization based on 6,500 seismograms; (2) a multi-scale feature-fusion-based detector that uses the MobileNet combined with the Feature Pyramid Net as the backbone; and (3) the Single Shot multi-box detector for box classification/regression. Additionally, we propose the use of the Focal Loss function that improves the detector's prediction accuracy. The proposed detector achieves an AP@0.5 of 78.67\% in our empirical evaluation.

Visual localization is a useful alternative to standard localization techniques. It works by utilizing cameras. In a typical scenario, features are extracted from captured images and compared with geo-referenced databases. Location information is then inferred from the matching results. Conventional schemes mainly use low-level visual features. These approaches offer good accuracy but suffer from scalability issues. In order to assist localization in large urban areas, this work explores a different path by utilizing high-level semantic information. It is found that object information in a street view can facilitate localization. A novel descriptor scheme called "semantic signature" is proposed to summarize this information. A semantic signature consists of type and angle information of visible objects at a spatial location. Several metrics and protocols are proposed for signature comparison and retrieval. They illustrate different trade-offs between accuracy and complexity. Extensive simulation results confirm the potential of the proposed scheme in large-scale applications. This paper is an extended version of a conference paper in CBMI'18. A more efficient retrieval protocol is presented with additional experiment results.

By using dissipativity approach, we establish the stability condition for the feedback connection of a deterministic dynamical system $Sigma$ and a stochastic memoryless map $Psi$. After that, we extend the result to the class of large scale systems in which: $Sigma$ consists of many sub-systems; and $Psi$ consists of many "stochastic actuators" and "probability controllers" that control the actuator's output events. We will demonstrate the proposed approach by showing the design procedures to globally stabilize the manufacturing systems while locally balance the stock levels in any production process.