scholarly journals The Problem of Environmentally Displaced Person

2021 ◽  
Vol 14 ◽  
pp. 294-300
Author(s):  
Yanting Wei ◽  
Yu Wang

Global warming is accelerating the speed of sea level rise, and more and more island countries are under threat. In our essay, we build the model and develop the environmentally displaced persons allocation policy and cultural protection policy. We use the data from 43 island countries that most at risk of cultural loss to predict changes in environmentally displaced persons population. The sea level submergence model is built by simplifying complex 3D model and computer simulation. Through the model, the environmentally displaced persons population is predicted to reach 6.3 million in 100 years. Therefore, we need to combine the efforts of the international community and NGOs to help environmentally displaced persons.

2020 ◽  
Author(s):  
Jacob Awkal ◽  
Tae Yoon Kim ◽  
Trong Nhut Tran

Environmentally Displaced Persons (EDPs) need to relocate, but there is also the risk of losing a unique culture, language, and way of life. This study uses mathematical models associated with the efficiency of biological enzyme clustering in order to assess the degree to which EDPs are at risk of loss of culture and determine the potential impact of proposed policies.There were critical objectives of this study, firstly, to predict the number of people at risk of losing their homeland at a particular time in the future. Second, based on the aforementioned projections, find ethical and beneficial policies to move these Environmentally Displaced Persons (EDPs) in a way such that EDPs can honorably preserve their unique cultural heritage. We took into account that these small island nations have small populations and individual cultural differences exist within each different island.A Sea Level Rise-Based Climate Impact Migration Model was proposed to find the number of people affected by the land lost from the Sea Level Rise (SLR). In the direction of accurate projections, our team designed two simulations that were executed on the SLR Model. Fundamentally, an Exponential Regression Model was used to calculate the future total population of Maldives (one of the at-risk-nations in danger of flooding) presuming the population followed the exponential growth. Next, we used a Levenberg-Marquardt Algorithm to find the non-linear model for the flooded area of the land and Water Drop Waveform Model to also calculate the flooded area on the island. We predict about 13% of people lose their homes by 2050, 72% by 2080, and 93% by 2100.Next, a Two-Step Metabolic Pathway Model was adopted to explain social heritage preservation within a confined area based on the idea that two-step metabolism and cultural transition work in a complementary fashion. It is known that communication between EDPs and individuals of the host country must go through an intermediate to communicate, this analogous phenomenon is seen in the one-way communication between an enzyme and its substrate to catalyze the formation of a product. In our mathematical model, the product is the cultural preservation and the enzyme-substrate complex is mathematically seen by the interaction between the EDPs and individuals of the host country. Just as humans are key to cultural preservation, enzymes-substrate complexes are essential for product formation and we contend that this notion should occur in optimized ratios. We predict there should be twice as many people absorbing the culture than the ones who transfer it. The area of the EDP cluster should be 2.96km squared.Finally, the sensitivity of our proposed mathematical models were evaluated and suggestions for future implementation of political decisions and improvements were promoted.


2007 ◽  
Vol 8 ◽  
pp. 66-73
Author(s):  
Ghana S. Malla

Melting ice is one of the concerns of world climate scientists and planners. It is the gradual change of ice in the liquid form caused by increase in atmospheric temperature. Global Warming is the increase in atmospheric temperature caused by greenhouse effects (C02, CH4, N20 and CFCs). Increase in temperature of atmosphere by 1oC that has been occurred since 1860 AD (IPCC, 1996). Scientists predicted that the Earth would warm by 1.4 to 5.8oC by 2100. In case of Nepal, increase of temperature was recorded 0.06oC per year (DHM). Sea level rise causes by melting ice is recent warning sign. The Times Center, 2007 estimated sea level rise would be 51 -140 cm by 2100 AD. It affects wide variety of ecosystem, water resources, agriculture, life and livelihoods of people in the world. However, its impact is largely unpredictable and uncertainty. There were series of glacial outburst in Nepal since 1964, destroying ecosystem of surrounding region caused by global warming. Therefore, IPCC member's countries with United State of America (USA) must act quickly to reduce greenhouse gasses to overcome threat of melting ice. The Journal of AGRICULTURE AND ENVIRONMENT Vol. 8, 2007, pp. 66-73


Author(s):  
Kristian Breili ◽  
Matthew James Ross Simpson ◽  
Erlend Klokkervold ◽  
Oda Roaldsdotter Ravndal

Abstract. Using new high accuracy Light Detection and Ranging elevation data we generate coastal flooding maps for Norway. Thus far, we have mapped ~ 80 % of the coast, for which we currently have data of sufficient accuracy to perform our analysis. Although Norway is generally at low risk from sea-level rise largely owing to its steep topography, the maps presented here show that on local scales, many parts of the coast are potentially vulnerable to flooding. There is a considerable amount of infrastructure at risk along the relatively long and complicated coastline. Nationwide we identify a total area of 400 km2, 105,000 buildings, and 510 km of roads that are at risk of flooding from a 200 year storm-surge event at present. These numbers will increase to 610 km2, 137,000, and 1340 km with projected sea-level rise to 2090 (95th percentile of RCP8.5 as recommended in planning). We find that some of our results are likely biased high owing to erroneous mapping (at least for lower water levels close to the tidal datum which delineates the coastline). A comparison of control points from different terrain types indicates that the elevation model has a root mean square error of 0.26 m and is the largest source of uncertainty in our mapping method. The coastal flooding maps and associated statistics are freely available, and alongside the development of coastal climate services, will help communicate the risks of sea-level rise and storm surge to stakeholders. This will in turn aid coastal management and climate adaption work in Norway.


2015 ◽  
Vol 10 (12) ◽  
pp. 124022 ◽  
Author(s):  
R Bierkandt ◽  
M Auffhammer ◽  
A Levermann
Keyword(s):  
At Risk ◽  

2012 ◽  
Vol 58 (209) ◽  
pp. 427-440 ◽  
Author(s):  
Hakime Seddik ◽  
Ralf Greve ◽  
Thomas Zwinger ◽  
Fabien Gillet-Chaulet ◽  
Olivier Gagliardini

AbstractIt is likely that climate change will have a significant impact on the mass balance of the Greenland ice sheet, contributing to future sea-level rise. Here we present the implementation of the full Stokes model Elmer/Ice for the Greenland ice sheet, which includes a mesh refinement technique in order to resolve fast-flowing ice streams and outlet glaciers. We discuss simulations 100 years into the future, forced by scenarios defined by the SeaRISE (Sea-level Response to Ice Sheet Evolution) community effort. For comparison, the same experiments are also run with the shallow-ice model SICOPOLIS (SImulation COde for POLythermal Ice Sheets). We find that Elmer/Ice is ~43% more sensitive (exhibits a larger loss of ice-sheet volume relative to the control run) than SICOPOLIS for the ice-dynamic scenario (doubled basal sliding), but ~61 % less sensitive for the direct global warming scenario (based on the A1 B moderate-emission scenario for greenhouse gases). The scenario with combined A1B global warming and doubled basal sliding forcing produces a Greenland contribution to sea-level rise of ~15cm for Elmer/Ice and ~12cm for SICOPOLIS over the next 100 years.


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