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2018美赛建模E题

2018美赛建模E题
2018美赛建模E题

2018年ICM

问题E:气候变化如何影响地区不稳定?

气候变化的影响,包括不断增加的干旱、冰川的缩小、动植物的变化以及海平面的上升,这些都已经得到了实现,并随着地区的变化而变化。政府间气候变化专门委员会(Intergovernmental Panel on Climate Change)表示,气候变化的净损害成本可能是显

著的。这些影响将会改变人类的生活方式,可能会导致社会和政府结构的弱化和瓦解。因此,不稳定的政府可能导致脆弱的国家。

一个脆弱的国家是政府不能或不愿意为其人民提供基本生活必需品的国家。为了这个问题的目的,“国家”指的是主权国家或国家。作为一个脆弱的国家,一个国家的人口受到诸如自然灾害、耕地减少、天气变化无常和气温上升等气候冲击的影响。在发展中国家普遍存在的不可持续的环境实践、移徙和资源短缺,可能会使治理薄弱的国家进一步恶化(施瓦茨和兰道尔,2003;Theisen, Gleditsch,和Buhaug, 2013)。可以说,叙利亚和也门的干旱进一步加剧了本已脆弱的国家。环境压力本身并不一定会引发暴力冲突,但有证据表明,当它与薄弱的治理和社会分裂相结合时,就会引发暴力冲突。这种融合可以加剧暴力的螺旋上升,通常是潜伏的种族和政治分歧(Krakowka, Heimel,和Galgano 2012)。你的任务如下:

任务1:建立一个模型来决定一个国家的脆弱性,同时衡量气候变化的影响。您的模型应该识别一个状态是脆弱的、脆弱的还是稳定的。它还应确定气候变化如何通过直接或间接的方式增加脆弱性,因为它影响其他因素和指标。

任务2:选择一个确定的十大最脆弱国家脆弱状态指数

(https://www.doczj.com/doc/5414725362.html,/fsi/data/)和确定气候变化可能会增加国家的脆弱性。用你

的模型来展示,如果没有这些影响,国家可能会变得不那么脆弱。

任务3:把你的模型用在另一个国家,而不是排名前十的国家,来衡量它的脆弱性,看看气候变化会在什么程度上和什么时候推动它变得更加脆弱。识别出任何明确的指标。你如何定义一个转折点,并预测一个国家何时能达到这个临界点?

任务4:用你的模型展示哪些国家驱动的干预措施可以减轻气候变化的风险,防止一个国家变成一个脆弱的国家。解释人为干预的影响,并预测这个国家干预的总成本。

任务5:您的模型是否适用于较小的“州”(如城市)或更大的“州”(比如大陆)?如果没有,您将如何修改您的模型?

你的提交应包括:

?单页汇总表,

?您的解决方案不超过20页,最多21页与您的总结。

?注意:参考列表和任何附录不计入21页的限制,并且应该在完成解决方案之后出现。

参考文献:

Krakowka, A.R., Heimel, N., and Galgano, F. “Modeling Environmenal Security in Sub-Sharan Africa –ProQuest.” The Geographical Bulletin, 2012, 53 (1): 21-38.

Schwartz, P. and Randall, D. “An Abrupt Climate Change Scenario and Its Implications for United States National Security”, October 2003.

https://www.doczj.com/doc/5414725362.html,/courses/v1003/readings/Pentagon.pdf

Theisen, O.M., Gleditsch, N.P., and Buhaug, H. “Is climate change a driver of armed conflict?”

Climate Change, April 2013, V117 (3), 613-625.

有助链接:

Fragile States Index: https://www.doczj.com/doc/5414725362.html,/fsi/

The World Bank:

https://www.doczj.com/doc/5414725362.html,/en/topic/fragilityconflictviolence/brief/harmonized- list-of-fragile-situations

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2011年数学建模美赛论文

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exclusively专门 undobtedly毫无疑问的 notable 值得注意的 tremedous/significant极大的 notion概念 definition定义——define Interpret……as…… 理解……为 invoke(+模型援引,引用 equation方程式,等式 function 因变量——提示符号的含义 matrix矩阵,模型 constant 常数,常量It requires I t o be a constant for …to be true algorithm演算方法——a general algorithm 通用算法simplify the algorithm 简化算法we have produced a general algrrithm to solve this tpye of problems. derivative微分,倒数antiderivative 不定积分 optimal results 最优结果 invesgate the problem from different point of view调查问题——investgation调查survey 调查 subproblem 子问题,次要问题——major problem 主要问题 metric 度量标准,指标 digit 数字delete some digits element /component 元素

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Winter is approaching, may the dragon’s wings grow more abundant Summary In the game of thrones, Daenerys Targaryen depicts the image of a dragon. In eastern and western cultures, the phenomenon of dragons is not uncommon. If dragons live in modern society, how can we raise these war monsters? Research, and applied the cross disciplines of biology, physics, and chemistry to build a mathematical model and solve it to achieve the maximum growth of the dragon. Of course, dragons do not exist in real life, so we likened pterosaurs, modern Aircraft and chemical burner to derive the specific physiological characteristics of the dragon to ensure the rationality and scientificity of the research. First, we studied the flight and fire-spitting models of dragons. Through analogical reasoning, our hypothetical dragon's fire-spitting principle is similar to modern alcohol flamethrowers. For dragon flight, we used fluid mechanics to get the dragon's flight speed. And glucose energy loss. Combining the two to get the energy loss model of the dragon. Second, we studied the basic physical characteristics of the dragon. For the relationship between the body length and body age of the dragon, we established an elastic model of growth. Because the weight and body length of dragons have upper and lower limits, in order to comply with basic ecology, we have defined the dragon's bone saturation value as the cut-off value, and conducted a segmented study. When studying the relationship between weight and body length, We know that the weight of the dragon is proportional to the cube of the body length. Then, because the dragon needs resources to replenish like other animals, we built a dragon's food supply model. Suppose that the three dragons have the same competitiveness and the daily sheep Resources are the same. According to ecology, when the number of sheep in a certain area reaches k / 2, we need to migrate the dragon. Finally, the temperature will affect the living environment of the dragon, so the dragon needs to followMigration was selected for changes in temperature, and we selected three areas of drought, cold, and warmth to study the dragon, and integrated the model of the regional area of the dragon by the appealing model. In addition, we wrote a letter to the author of the Song of Ice and Fire, giving some suggestions on the actual ecological foundation of the dragon, hoping to be adopted. Although the dragon does not exist in our real life, the dragon can be broken down into Part of our modern society. For the dragon's flying spitfire energy loss model, we can further study the aircraft's fluid mechanics and modern flamethrowers. The study of non-existent organisms also prepares us for the arrival of new species .

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MCM 2015 Summary Sheet for Team 35565 For office use only T1________________ T2________________ T3________________ T4________________ Team Control Number 35565 Problem Chosen B For office use only F1________________ F2________________ F3________________ F4________________ Summary The lost MH370 urges us to build a universal search plan to assist searchers to locate the lost plane effi-ciently and optimize the arrangement of search plans. For the location of the search area, we divided it into two stages, respectively, to locate the splash point and the wreckage?s sunk point. In the first stage, we consider the types of crashed aircraft, its motion and different position out of contact. We also consider the Earth?s rotation, and other factors. Taking all these into account, we establish a model to locate the splash point. Then we apply this model to MH370. we can get the splash point in the open water is 6.813°N 103.49°E and the falling time is 52.4s. In the second stage, considering resistances of the wreckage in different shapes and its distribution affected by ocean currents, we establish a wreckage sunk point model to calculate the horizontal displacement and the angle deviation affected by the ocean currents. The result is 1517m and 0.11°respectively. Next, we extract a satellite map of submarine topography and use MATLAB to depict seabed topography map, determining the settlement of the wreckage by using dichotomy algorithm under different terrains. Finally, we build a Bayesian model and calculate the weight of corresponding area, sending aircrafts to obtain new evidence and refresh suspected wreckage area. For the assignment of the search planes, we divide it into two stages, respectively, to determine the num-ber of the aircraft and the assignment scheme of the search aircraft. In the first stage, we consider the search ability of each plane and other factors. And then we establish global optimization model. Next we use Dinkelbach algorithm to select the best n search aircrafts from all search aircrafts. In the second stage, we divide the assignment into two cases whether there are search aircrafts in the target area. If there is no search aircraft, we take the search area as an arbitrary polygon and establish the subdivision model. Considering the searching ability of each plane, we divide n small polygons into 2n sub-polygons by using NonconvexDivide algorithm, which assigns specific anchor points to these 2n sub-polygons re-spectively. If there exist search aircrafts, we divide the search area into several polygons with the search aircrafts being at the boundary of the small polygons. To improve search efficiency, we introduce” ma x-imize the minimum angle strategy” to maximize right-angle subdivision so that we can reduce the turning times of search aircraft. When we changed the speed of the crashed plane about 36m/s, the latitude of the splash point changes about 1°.When a wreck landing at 5.888m out from the initial zone, it will divorce from suspected searching area, which means our models are fairly robust to the changes in parameters. Our model is able to efficiently deal with existing data and modify some parameters basing the practical situation. The model has better versatility and stability. The weakness of our model is neglect of human factors, the search time and other uncontrollable factors that could lead to deviation compared to practical data. Therefore, we make some in-depth discussions about the model, modifying assumptions establish-

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