The principle goal of this undertaking is to list and examine natural hazard just as resources dangers the board and speculation investigation of tasks and assessment of contaminations in the Arctic, and displaying the information’s utilizing the most dependable parameters and approach for an increasingly reasonable biological system.
The investigation of ozone demonstrates that it destroys yields and this data will help advice numerous ranchers regarding the perils of ozone against harvests so at some point later on somebody could discover some way or another to shield plants and harvests from the threat of ozone on plants.
Ensuring sustainable environmental protection of the Arctic territory through concise risk management approach of pollutants and assets.
To assess environmental risk, monitor Arkhangelsk weather temperature and running regression analysis of acquired data’s to assess risk.
Significance: This research will aid more detailed mathematical model and data analysis which will simulate more accurate temperature forecast of the polar region that is influenced by pollutants.
Innovation: Using new data to analyse the temperature by using the highs of temperature to generate data for modelling, thereby forecasting the effect of pollutants on the stratosphere which will aid further research on sustainable environmental risk management.
Approach: 2 years (2017 and 2018) highs of temperature data of Arkhangelsk from Russia meteorological site, used Microsoft Excel to calculate basic statistical characteristics and other relevant details, plot a frequency scatter plot of the minimum and maximum temperature from the Excel table, run the regression statistics of the graph, calculate the parameters of the linear regression equation, rate the closeness of the relationship, Used secondary (general) comparative assessment of the elasticity coefficient power factor due to the result, Rate it using the average, rate using Fisher F-test statistical reliability of the results of the regression modelling, Finding the linear regression equation, Repeat the same procedure for the second year temperature data, Analyse the results to come up with findings that would back up or nullify my hypothesis.
To calculate discounted cash flow of a prospective project in order to ascertain the proposed hypothesis.
Significance: Environmentalist should not limit there scientific knowhow to researches with much visibility of direct negative impact, but also on other part of human society that are relevant for human comfort on earth which not addressed could lead to negative externalities on environmental economy.
Innovation: Inclusion of asset and investment analysis in environmental research and applying a unique technique that will allow investors do it themselves, to prevent minimize investment risk, and as well help preserve the financial ecosystem of heavy projects which effect may inversely affect environmental objects.
Approach: The research methodology requires gathering relevant data from specific investment sources and using them to develop model logic, design risk outputs, define input distributions, set number of iterations, run simulation and analyse result of financial risks.
Examining the effect of tropospheric ozone long term impacts on plants as a result of pollutants.
Significance: Signalling on the effect of tropospheric ozone on flora.
Innovation: Used a precise method to unleash a more profound evidence on the effect of tropospheric ozone on plants.
To examine the chemical oxygen demand and biochemical oxygen demand of wastewater.
Significance: It will enable researches on arctic issues to be aware that there are still release of pollutants to the water bodies without following the recommended standard before the release of effluents.
Innovation: Using biochemical oxygen and chemical oxygen demand to run empirical analysis on wastewater in order to determine the effect of pollutants on dissolve oxygen in water.
Approach: An Experiment-based approach and a suitable analysis technique was used to develop the research solution.
Materials used were wastewater, pipette, mercury salt, Sulfuric acid, potassium permanganate solution, coni flask, stirrer, thermometer, portable water, and heater.
100 ml of test water was added in 250 m conical flask, add 10ml of 2N sulfuric acid solution, Add 10ml of 0.05N potassium permanganate solution, add a piece of boiler to enable auto stirring while heating, heat to boil for 10 minutes while watching the colour-if the colour is strongly weakened, add few millilitres of Potassium permanganate solution, After boiling, use the pipet to add 10ml of 0.05N oxalic acid gently while manually stirring until you sense a discoloured solution, repeat the experiment with portable water. Calculate the correction factor. Compare results.
In large terms, risk assessment is the procedure in which the dangers set by inbuilt risks associated with procedures or circumstances are guaged either quantitatively or subjectively. Environmental Risk Assessments (ERA) are done to break down the effect of an operator on people (Health Risk Assessment) and environments (Ecological Risk Assessment). They address a wide scope of dangers, receptors and terminus: an ERA can concentrate on natural, substance, radiation as well as physical dangers towards effects on receptors, for example, (people or populace), fauna and vegetation (both single species or entire biological systems), and materials. Everything about hazard receptors distinctive end are indicated: for instance mortality and dismalness in human wellbeing evaluation, property misfortune in flame, income misfortune for individuals relying upon the hurt biological system in the financial effects appraisal, eradication or all out catch in natural hazard appraisal.
Subject on which dangers, receptors, and end that ought to be investigated, the grouping and way to deal with being connected in ERA will fluctuate. An adjusted methodology of ERA is required since a far-reaching clarification of the principle errands and strategies in hazard examination is outlandish.
Statistical Analysis and Modelling of Arkhangelsk Weather Temperature from January 2017 to January 2019, using the Highs. To determine the effect of pollutants on Arctic temperature.
Investment analysis of projects using various components of risk management to determine the best investment plan.
Analysis plants in ozone and Air to ascertain the effect of pollutants.
Laboratory analysis of wastewater to achieve it COD and BOD.
Literature review of any related research materials in respect to this research topics.
The hypothesis to determine the effect of pollutants on Arctic weather temperature was tested by means of a regression analysis. The results of this analysis show instability of temperature across all parameters of January 2017 through January 2018. This data points out the effect of Pollutants on Arctic weather thereby validates the hypothesis that Pollutants in the Arctic affects the temperature of the region.
Testable Question for this analysis was if Future value and Present Value analysis of investment capital reduces financial risk in a stock?
Using the Palisade Risk financial model to test the hypothesis on Asset and investment risk analysis, by calculating the discounted cash flow on an investment with a discount rate 12% and bonus limit $20,000. After the analysis, the probability of the negative NPV was close to 21%, therefore an investor has to think twice before getting into the investment.
The results of the experiment were the plants in ozone germinated slower than the plants in air, and grew slower until the last week, when the plants in ozone started dying and withering. The results of this experiment showed that the plants in ozone averaged only at 12.1 cm long while the plants in air averaged at 18.7 cm long. Therefore upholding the proposed hypothesis that Plants in ozone would grow less than the plants in air. The results indicate that this hypothesis should be accepted.
This experiment is an important water quality parameter because it provides an index to assess the effect discharged wastewater will have on the receiving environment.
The Experiment indicated a reduction in dissolved oxygen in the wastewater when analysed alongside with portable water. A clear case of the effect of pollutants and it therefore uphold the hypothesis that Chemical Oxygen Demand of wastewater increases as Dissolve Oxygen decreases.
?2S?_2 O_3^(2-) (aq)+I_2?S_4 O_6^(2-) (aq)+?2I?^- (aq)
C_N H_a O_b N_c+?dCr?_2 O_7^(2-)+(8d+c)H^+??nCO?_2+[(a+8d-3c)/2] H_2 O+cNH_4^++?2dCr?^(3+)
This research aimed to assess environmental risk, assets risk management and investment analysis, as well as evaluate pollutants of the Arctic which shows that each of these subject are not lone as they should work together to achieve a concise risk management approach of pollutants. Risk assessment minimizes the hazards of pollutants in our ecosystem when done early. In this research work shows that risk evaluation can be harness from various environmental objects depend on the method used.
The result obtained shows that the fluctuation in weather temperature in the Arctic has a constant influencer by pollutants which are either transboundary or of Arctic origin, the better growth of plants is a factor of clean air, oxygen reduction in water is a result of pollutants of external origin, and the profitability of an investment or asset is maximized by advance calculation of the risk of capital.
Ensuring environmental protection of the Arctic territory by measure of environmental risk through regression analysis of weather temperature data, and examining the effect of tropospheric ozone on plants, computing respective risk management process of assets, and analysed the chemical and biochemical oxygen demand (COD and BOD) of wastewater, where done by laboratory analysis and gathering of meteorological data’s and investment records in order to test the research questions.
Based on these conclusions, further research on drastic fluctuation of Arctic weather temperature is required to improve the design and management of environmental risks.
This research has helped to assess the effects of pollutants through the regression analysis of weather temperature data. And also incorporate asset and investment analysis to scientific evaluation of environmental standards, as well reawaken our consciousness on the impact of pollutants on the biosphere.
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