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大学论文摘要翻译

发布时间:2015-09-15 23:01:09 浏览次数:39

大学论文翻译找未名翻译

当经过了几年的大学生活,同学们最终要踏上社会,谁说的“青春终究散场,论文非写不可”。写论文让大家煮昼熬夜,消耗了大家不少精气神。好的论文让您在大学毕业终点前有个漂亮的撞线姿势,一下拔高了您的人气,为毕业后找工作增色不少。所以,您的论文写得好,未名翻译先替您高兴一会。然后如果我们有幸接了您论文翻译的活儿,您放心,我们会把您的文论准确,快捷翻译出来,让您快速进入职场。下面就是我们节选的一段精彩的毕业论文,并认真翻译出来。大家可作对比参考。

未名翻译做的大学论文翻译样稿如下:

黄河流域水资源匮乏,径流年内、年际变化大,且地区分布不均匀。受气候变化和人类活动的影响,黄河流域水资源供需关系紧张的形势很可能进一步恶化。由于气候变化影响评价中存在的不确定性,目前对黄河流域未来径流变化趋势的预测并不一致。本研究将气候变化和经济社会发展作为黄河流域水资源系统变化的主要驱动因子,并将气候模式、水文模型、经济社会发展情景列为影响评估结果的主要不确定性来源。通过多模型加权,提高气候和水文模型的模拟精度,通过对经济社会关键发展参数的合理预测提高经济社会发展情景的可信度。评估气候变化和经济社会发展对黄河流域水资源供需平衡的影响,甄别出影响黄河流域水安全的关键因子,并对黄河流域未来的水管理提出适应性对策。
The water resource is insufficient and unevenly distributed in the Yellow River Basin, with great changes in annual and inter-annual runoff. With the impact of climate change and human activities, the strained relation between the supply and demand of water resource in the Yellow River Basin is likely to be further deteriorated. Due to the uncertainties in the climate change impact assessment, current forecasts for the future variation trend of runoff in the Yellow River Basin are inconsistent. This research takes climate change and social-economic development as the major driving factors for changes in water resources system of the Yellow River Basin and adopts climate model, hydrological model and scenarios of social-economic development as the main sources of the uncertainties influencing the assessment results. The author improves the simulation accuracy of climate model and hydrological model through multi-model weighting and improves the reliability of the scenarios of social-economic development through reasonable forecast of the key development parameters of social-economic development. The author also assesses the impact of climate change and social-economic development on the balance between the supply and demand of water resources in the Yellow River Basin, screens key factors influencing water security in the Yellow River Basin, and proposes applicable countermeasures for future water management in the Yellow River Basin. The main contents and conclusions are as follows:
(1)根据从IPCC数据中心下载的8个GCM模式20C3M输出结果与地面气象站点实测数据的对比,以偏差、均方根误差、简单相关系数和空间相关系数为指标,找出对气温模拟最好的模式是MIROC-m,对降水模拟较好的模式是CSIRO30。总体而言,GCM的输出结果能够较好的模拟黄河流域的气温,但直接利用GCM模式输出结果进行降水模拟的效果则不甚理想。
(1) According to the comparison, which adopts deviations, root mean square errors, simple correlation coefficients and spatial correlation coefficients as the indicators, between the 20C3M outputs of the 8 GCM models downloaded from IPCC Data Center and the measured data from ground meteorological station, MIROC-m is the best model for air temperature simulation and CSIRO30 is a preferable model for the simulation of precipitation. All in all, the outputs of GCM can simulate the air temperature in the Yellow River Basin well, but the outputs are not ideal for the simulation of precipitation.

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