Use Of Tier Research Articles

Distributed networks enable advances in US space weather operations

Space weather, the shorter-term variable impact of the Sun’s photons, solar wind particles, and interplanetary magnetic field upon the Earth’s environment, adversely affects our technological systems. These technological systems, including their space component, are increasingly being seen as a way to help solve 21st Century problems such as climate change, energy access, fresh water availability, and transportation coordination. Thus, the effects of space weather on space systems and assets must be mitigated and operational space weather using automated distributed networks has emerged as a common operations methodology. The evolution of space weather operations is described and the description of distributed network architectures is provided, including their use of tiers, data objects, redundancy, and time domain definitions. There are several existing distributed networks now providing space weather information and the lessons learned in developing those networks are discussed along with the details of examples for the Solar Irradiance Platform (SIP), Communication Alert and Prediction System (CAPS), GEO Alert and Prediction System (GAPS), LEO Alert and Prediction System (LAPS), Radiation Alert and Prediction System (RAPS), and Magnetosphere Alert and Prediction System (MAPS).

유리 제조 산업분야의 온실가스 배출량 산정식 개발에 관한 연구(I)

The aim of this study is investigated greenhouse gas emissions of glass industry, and when calculates greenhouse gas emission, using formula(Tier 3) advising in IPCC(Intergovernmental Panel on Climate Change) and using self designed formula(Tier 3+) authors of this study. Studied to propose calculation formula that can compare these two calculation results and apply to domestic. Formula of Tier 3 calculated to theoretical composition of carbonate material, And Formula of Tier 3+ calculated on the basis of chemical substance formation table that get from glass manufacture company(The S company). As a result, Dolomite, Soda ash, Limestone, Industrial Barium carbonate is calculated value of Tier 3+ lower than value of Tier 3, And Industrial Potassium carbonate, Industrial Strontium carbonate was calculated value of Tier 3 lower than value of Tier 3. This study finding, formula of Tier 3+ has higher confidence than formula of Tier 3 when consider revision about purity of injection raw material. And hereafter, When calculate greenhouse gas emissions about nonmetallic mineral industry, use of Tier 3+ is considered that should be encouraged.

RESPONSE REQUIREMENTS FOR THE WEST AFRICAN REGION ∼ A NEW PARADIGM?

ABSTRACT West Africa is one of the fastest growing oil industry regions in the world at present. The operations range from Floating production and storage units in the newly developing provinces, whilst mature oil production facilities in places such as Angola, Cameroon and Nigeria are being further developed by the introduction of offshore facilities in the previously unexplored deepwater areas, vastly increasing oil outputs and bringing with it attendant risks. The new challenge is how to provide oil spill response to these operations in the event of an incident. Limited personnel numbers in each operation, poor infrastructure and difficult logistics, coupled with security political and transboundary issues makes response operations complicated. There is a significant amount of equipment in the region but its response readiness is often poor. In the newly developed oil provinces, the level of equipment is generally suited to respond to the operational type of incident and is generally stored in a manner where it is ready for immediate deployment, but not stored in a manner that makes it ready to transport, as a result the combined use of tier 1 equipment does not provide for an adequate regional tier 2 resource. Even if the equipment was transportable, transboundary and political difficulties make this approach response less effective. Industry Tier 2 resources co-operatives do exist in some countries in the region, but in the main these resources are not new and have not been updated to reflect the expanded risk profile and the move of industry to the deep offshore. Tier 3 response in the region is reliant on gaining access into country, the issues of visas, security, landing, overflight rights and customs are all obstacles to providing an effective response. Recent history has shown that whilst tier 3 incidents remain the exception, spills that are consistent with a tier 2 categorisation are proving challenging for the industry to deal with. The author, using evidence gained from extensive experience in the region and practical lessons learned from case histories will look at the issues and propose some solutions to the problems.

가축 장내발효에 의한 국가단위 메탄 배출통계에 관한 연구

본 연구는 우리나라에서 가축 장내발효에 의한 메탄배출 통계 기반을 구축하기 위해 수행되었다. 메탄 배출량을 추정하기 위해 가축은 소, 돼지, 가금, 면양, 산양으로 대분류하였고, 소는 한우와 젖소로 분류하여 각각 한우 송아지, 한우 비육우, 한우 번식우, 젖소 송아지, 젖소 비육우, 착유우로 세분류하였다. Tier 2 방법에 의한 메탄 배출계수는 각 세분류 집단의 가축의 생산성, 생체중, 도체중, 일당 증체량, 소화율을 근거로 하여 산출되었다. 한우의 배출계수는 39～49kg/head/year 정도로 IPCC에서 제시한 Tier 1의 47kg/head/year과 유사한 수준이었고, 젖소의 배출계수는 107 kg/head/year로 Tier 1 배출계수, 118kg/head/ year 보다 다소 낮게 나타났다. Tier 2 방법으로 추정한 가축 장내발효에 의한 메탄 배출량은 2001년, 총 126.8톤이었고 각 세분류별 메탄 배출량은 한우, 젖소, 돼지, 면양, 산양, 말에서 각각 61.70, 47.76, 13.08, 2.25, 0.17, 0.01 톤으로 나타났다. 본 연구에서 온실가스 배출추정 방법으로, Tier 1을 Tier 2로 대체하므로써 우리나라 가축 장내발효에 의한 메탄배출 통계의 정확성과 신뢰성이 개선된 것으로 사료된다. This study was conducted to investigate the national methane emission from livestock enteric fermentation. For methane emission estimation, livestock were mainly categorized to cattle, swine, poultry, sheep, goats and horses, and cattle were further sub-categorized to calves, fattening cattle, breeding cows in Hanwoo and calves, fattening cattle and lactating cows in dairy cattle. Tier 2 methane emission factors were deduced based on the characteristics of animal performances, live weight, slaughter weight, daily weight gain, and feed digestibility in each category. Tier 2 emission factors of Hanwoo range from 39 to 49 kg/head/year and it is similar to that of Tier 1(47kg/head/year). Tier 2 emission factor of dairy cattle was 107 kg/head/year and it is slightly lower than that of Tier 1(118kg/head/year). Total methane emission from livestock enteric fermentation by Tier 2 method was estimated to be 126.8 tones in 2001. The methane emissions by Hanwoo, dairy cattle, swine, goats, horses and sheep were 61.70, 47.76, 13.08, 2.25, 0.17 and 0.01 tones, respectively. By the use of Tier 2 method instead of Tier 1, the accuracy and reliability of methane emission estimates from livestock enteric fermentation in Korea is considered to be improved.