Itms; Monitoring Of Global Warming Impacts; Peter Aniediabasi John; Impact Trend Monitoring System

  • May 2020
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GLOBAL WARMING IMPACT TREND MONITORING SYSTEM (ITMS) *Peter Aniediabasi John (Research Consultant) In the beginning the world must have been experiencing the impacts from inhabitant’s activities. Though infinitesimal, but it was existing. The activities of man and the resultant effect today is a gradual build-up from man’s previous and present activities. The accumulation of these activities, with neglects and absence of mind has resulted to the sudden appearance of impacts today. The release of gases into the atmosphere have done so much harm to the environment, leaving the world’s inhabitants at the mercy of the expected negative impacts, which cannot be stopped, but can be managed. There are traces and events associated with Global Warming, which can be documented and studied, with proper interpretation to the documented facts. It is a professional idea to note and watch the trend of activities over time to enable an efficient accumulation of data and information, which will help in the interpretation and prediction of future disastrous events. A multidisciplinary documentation can be used to generate data from the various environmental components including social and health. Click to open list of expected impacts

*Send a request mail to [email protected] or [email protected]

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Call: +234-803-9693897; +234-805-5288365

Proper documentation of the changes associated with global warming is possible. This will act as a template from which models can be formed and systems created to enable projections for possible future events. If this is done, proper preparation can be put in place for effective management of the impacts. The rates and types of events may not be recorded by man at the rate in which they occur. This justifies the reason why the Impact trend Monitoring System (ITMS) should be considered. The system is made up of various components such as multi-phased operators, data input and retrieval sub-system for two categories. These components interlinks directly with one another through a model for a resultant development of an event prediction and alarm/warning scheme for end consumers. For an effective operation of this system, strong unbiased policies/legal systems are required.

Multi-phased component

Data Input Sub-system

GIS-Real time model response component

Processing Subsystem

Retrieval Sub-system

Click to get a comprehensive copy of ITMS Click to know more about Author/resume

Disaster Management Tool for Nigeria The current plan in this part of the world does not make provision for future occurrences as regards expected impacts from Global Warming. A lot have been done in different locations in Africa, which can be used as data for better interpretations. Several studies including EIA, EER, EBS, EA and sometime special studies such as HIA, SIA, Site specific meteorological Studies, Noise mapping, Topographical assessment/studies, and many other studies. These are good tools for predictions and projections and to study the trend of change in our environment. In locations where intensive studies have been conducted, routine ground trotting is necessary to generate data for trend pattern. Currently, what we need in Nigeria and Africa as a whole is a database of environmental data, with very sound quality control exercise conducted on the data before acceptance. It may also require the establishment of policies to allow specially created agencies to be a compulsory part of a team in any environmental studies or surveys. This facts paved way for the necessity of having a running system such as the ITMS, which includes a world class GIS tool as a sub-unit and a fast and real time responding model. Click to get a full map of the system. (Should you experience any delay contact: [email protected] or [email protected]) See below for a Power Point Presentation done on this already at the 3rd International Conference on “Environmental Science and Technology (EST)” Sponsored by American Academy of Sciences (AAS), 2007.

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