Innovation Content Cryptocurrencies and their underlying blockchain technology are being touted as the next-big-thing after the creation of the internet. One area where these technologies are likely to have a major impact is the financial sector.
An introduction to decision scaling Part 2: An introduction to eco-engineering decision scaling EEDS Freshwater is perhaps the most vital resource for the 21st century — necessary for almost all aspects of growing economies, traditional livelihoods, and vibrant terrestrial and aquatic ecosystems.
But freshwater resources are increasingly difficult to manage as our future becomes harder to predict with confidence: Many of the decisions we make around water have long-lasting impacts: New infrastructure, for instance, will last decades, even centuries. Do we know how to think about sustainable water management over those timescales?
This site is intended to showcase a new way for identifying future water risks and then addressing them. First we describe the approach — called decision scaling — which developed within recent years from the engineering community. Then we talk about how long-term sustainability has to include ecosystems within built infrastructure.
That approach is called eco-engineering decision scaling, or EEDS. The NCC paper can be found at http: The development of water resources has been the pathway for developing modern economies — securing water for energy, food, cities, and security from floods and droughts.
The most developed countries such as the United States have more than 75, dams, about 10 percent of the global total. Countries that are shifting from subsistence livelihoods to manufacturing and service economies are simultaneously changing how they manage their water resources — and often building or modifying new infrastructure.
Developed economies often invest heavily in maintaining or modifying their extensive water infrastructure investments.
These pieces of infrastructure can last very long periods — very often decades, and sometimes centuries or even millennia in places such as China, India, Turkey, Peru, and Yemen. The longevity of most water infrastructure means that they are almost invariably exposed to changing environmental, demographic, and economic conditions.
These are difficult for water managers, stakeholders, decision makers, and infrastructure designers and operators to predict and anticipate.
Should we plan for a single future?
What factors are relevant? What may change over time? These stakeholders were confronted with an impasse: How do we change uncertainty into confident decisions? In response, a new and untested methodology was proposed as a way to visualize risk.
Climate information was considered critical to this process. The traditional starting place for water management decision making begins by defining a need energy, clean water, flood control, reliable irrigation and then asking what the future will look like — for that need, for the infrastructure designed to provide that need, and the conditions that might influence the need and the infrastructure over time.
That usefulness of that assumption is now widely questioned. To be sustainable and responsible, we need to design for longer timescales, especially as the environment changes.
Climate models — often called GCMs or global circulation models — are often a critical tool in estimating environmental change. They help inform decisions about how the amount of water and variability will change over the long lifetime of infrastructure.
Localizing global-scale climate models to the scale of a project or city has proven dissatisfying in many cases, and these models have been widely criticized as inappropriate for long-term sustainable resource management. Because climate models define the range of choices from the beginning for stakeholders, downscaling is often referred to as a top-down methodology.
Decision scaling is a way of looking at climatic and environmental data in the context of stakeholder-defined needs.The following new findings have been highlighted: (1) One dominating mode of the inter-decadal variability of the summer precipitation in China is the nearyr oscillation.
Other modes of yr and 30–yr oscillations also play an important role in affecting regional inter-decadal variability. Develop a process flow diagram for processing cranberries (both wet and dry). Show the capacities at the different stages and what are the sources of.
The DNS Working Group discusses current DNS related issues in technology and operations.
The working group encourages deployment of DNS and DNS related protocol components by collecting experience and documenting current practice and recommendations. Effects of weather variability on maple syrup production studied Date: March 10, Source: Montana State University Summary: Some farmers in the .
Prof. McGovern Management of Service & Manufacturing Operations (MGSC ) 6 Case: National Cranberry Cooperative* The case relates the concerns of the operations VP about Receiving Plant #1, which incurred high overtime costs, as well as the wrath of the grower-owners who had to wait a long time to unload their crops.
Preparation questions: 1. Some feed mill operations are using 7% as the default value based on this year and last year’s levels. However, in the past, higher grain protein levels (% +2) have been cited for corn. Are the reports of low levels in and an anomaly?