安康水电站精细化降水预报的检验

降水精细化数值预报模式的发展是开展精细化降水预报业务的理想途径,而模式本地化中的误差评估是当前开展业务应用的重要环节。基于此,运用误差分析、晴雨预报准确率、降水TS评分方法评估陕西精细化数值预报攻关团队提供的2016年5月1日~9月30日安康水电站降水预报。结果表明：随着降水时效的增长,降水的预报准确率呈减小趋势;大雨以上的降水过程预报较好且未出现漏报,但量值与实况有差异,预报值小于实况值;20时起报的预报准确率大于08时起报的准确率且夜间的高于白天;降水日数多的月份TS评分预报准确率高于降水日数少的月份。比较安康和石泉的结果发现,安康的预报准确率明显优于石泉,主要原因是安康降水日数比石泉多,且大的降水过程比石泉少。逐1 h、3 h的72 h以内的降水预报可以为安康水电厂水利调度提供参考。     

基于风险地形建模的毒品犯罪风险评估和警务预测

犯罪具有明显的时空特征,研究犯罪问题离不开时间和空间维度分析,以及产生犯罪的社会、地理、生态、环境等因素。风险地形建模是美国学者研发的空间风险评估和警务预测技术,已在全球六大洲45个国家和美国35个州得到了独立测试和验证,被广泛应用于警务预测、国土安全、交通事故、公共医疗、儿童虐待、环境污染、城市发展等多个领域。在毒品、纵火、爆炸、强奸、抢劫、盗窃等犯罪研究领域更是取得了显著成果。本文运用犯罪热点分析和风险地形建模,以长三角地区N市毒品犯罪为研究对象,对该市2015年毒品犯罪的危险因子、空间盲区、风险地形进行分析,探索毒品犯罪的生成机理和演化规律,并对2016年毒品犯罪进行预测。研究结果表明,N市毒品犯罪呈现明显的犯罪热点和冷点;出租屋、酒店、车站、ATM机、停车场、娱乐场所、城市快速路、网吧是N市毒品犯罪的风险性因素。风险地形建模能较好地预测毒品犯罪。公安机关禁毒部门应据此进行严密管控,逐步限制、消除犯罪产生地、犯罪吸引地、犯罪促进地的生存土壤和条件。     

农户行为视角下的乡村生产空间系统运行机制及重构启示

农户行为转变是乡村生产空间系统量变或从量变到质变的重要驱动力,乡村生产空间系统的运行实质上是农户行为作用的外在表现,厘清农户行为可为诠释乡村生产空间系统的运行机制提供平台。本文在剖析农户行为转变与乡村生产空间系统运行响应的理论框架基础上,从农户行为转变和乡村生产空间系统响应入手构建指标体系,建立模糊综合评价量化模型,并以重庆市江津区恒和村作为实证,诠释乡村生产空间系统运行机制。主要研究结论为：不同农户行为对乡村生产空间系统运行的影响程度各异,大体为生产大户>合作社农户>传统农户;不同农户行为对系统运行响应结果的作用差异明显,生产大户行为主要影响乡村生产空间的利用效率,合作社农户行为对提升生产空间系统经济效益作用明显,传统农户行为对生产空间系统环境改善的贡献作用最小。并从经济、社会、空间重构视角提出发展多种形式的适度规模化经营、培育新型农业经营主体和职业农民、合理引导农户技术和资本投入等建议,以实现乡村生产空间系统协调与均衡发展。     

In search of meaningful assessment in the university curriculum: the case for culturally relevant pedagogy

ABSTRACT

The poor performance of Pacific students at university is a concern for every level of society. Conventional models of teaching, learning and assessment have overlooked the cultural background of students, yet the effects of this oversight have been disastrous, alienating and disempowering. Studies of and developments in education in the Pacific and elsewhere offer opportunities to rethink the methods of teaching, learning and assessment of Pacific students in ways that are congruent with their home culture. Informed by the principle of so’a lau pule (the Samoan concept of consensus through consultation and conversation) and ethnographic research methods, this study describes an attempt to rethink ways of teaching, learning and assessing student performance in a third-year course on Resource Conservation and Management in the School of Geography, Earth Science and Environment at the University of the South Pacific. Introduced in 2007, the Student Innovative Contribution to Knowledge (SICK) allows students to participate in key decisions concerning teaching, learning and assessment. SICK is grounded in the principles of inclusiveness and participation. It takes account of the skills and abilities of Pacific students and is aligned with the philosophical basis of Pacific cultures. One hundred and fifty-eight students took part in this study over a 5-year period. Analysis was based on students’ written reviews of the semester’s work, in-depth conversation with individual students and the end-of-the-course evaluation. The findings show that, while students embrace the need for non-conventional forms of teaching, learning and assessment, the most frequently cited responses for non-participation are poor time management and varying perceptions of what is considered an innovative assessment. This study shows that understanding the cultural background of students is critical to creating culturally inclusive learning environments.     

Regional differentiation of ecological conservation and its zonal suitability at the county level in China

China’s investments, financial incentives and deductions in terms of ecological conservation are based at the county level. Therefore, the monitoring and assessment of the effects of ecological conservation at the county level is important to provide a scientific basis for the assessment of the ecological and environmental quality at the county scale. This paper quantitatively estimated the dynamics of high-quality ecosystems and vegetation coverage over the past 15 years, and their relationships with the number of ecological conservation programs at the county level were analyzed. Then, the effects of ecological conservation measures on ecological changes at the county level and their regional suitability were assessed and discussed. The results showed that counties with a percentage of high-quality ecosystems greater than 50% were primarily distributed in northeastern China, southern subtropical China and the southeastern Qinghai-Tibet Plateau, and those with a percentage lower than 20% were mostly distributed in northwestern China, the southwestern karst region and the North China Plain. In recent decades, ecological conservation has focused on ecologically fragile regions; more than five ecological conservation programs have been implemented in most counties of the Three River Source Region in Qinghai Province, southeastern Tibet, western Sichuan, the Qilian Mountains, southern Xinjiang and other western regions, while only one or zero have been implemented in the eastern coastal area of China. Over the past 15 years, the proportional area of high-quality ecosystems has increased in approximately 53% of counties. The vegetation coverage of counties in the Loess Plateau, Huang-Huai-Hai Plain, Beijing-Tianjin-Hebei (Jing-Jin-Ji), Sichuan-Guizhou-Chongqing, and Guangdong-Guangxi provincial-level areas has increased significantly. However, it decreased in northern Xinjiang, central Tibet, central and eastern Inner Mongolia, the Yangtze River Delta and other regions. The relationships between the numbers of ecological conservation programs and the indicators of ecosystem restoration response, such as high-quality ecosystem and vegetation coverage, do not show positive correlations. These results suggest that ecological conservation programs should be planned and implemented according to the distribution patterns of high-quality ecosystems and that restoration measures such as afforestation should follow natural principles and regional differentiation under the background of climate change.     

Comprehensive methods for measuring regional multidimensional development and their applications in China

National and international research on regional development has matured from the use of single elements and indicators to the application of comprehensive multi-element and multi-indicator measures. We selected 12 indicators from six dimensions for analysis in this study, including income, consumption, education, population urbanization, traffic, and indoor living facilities. We then proposed the polyhedron method to comprehensively measure levels of regional multidimensional development. We also enhanced the polygon and vector sum methods to render them more suitable for studying the status of regional multidimensional development. Finally, we measured levels of regional multidimensional development at county, city, and provincial scales across China and analyzed spatial differences using the three methods above and the weighted sum method applied widely. The results of this study reveal the presence of remarkable regional differences at the county scale across China in terms of single and multidimensional levels of regional development. Analyses show that values of the regional multidimensional development index (RMDI) are high in eastern coastal areas, intermediate in the midlands and in northern border regions, and low in the southwest and in western border regions. Districts characterized by enhanced and the highest levels of this index are distributed in eastern coastal areas, including cities in central and western regions, as well as areas characterized by the development of energy and mineral resources. The regional distribution of reduced and the lowest levels of this index is consistent with concentrations of areas that have always been impoverished. Correlation analyses of the results generated by the four methods at provincial, city, and county scales show that all are equivalent in practical application and can be used to generate satisfactory measures for regional multidimensional development. Additional correlation analyses between RMDI values calculated using the polyhedron method and per capita gross domestic product (GDP) demonstrate that the latter is not a meaningful proxy for the level of regional multidimensional development.     

Use a Spatial Analysis Model to Assess Habitat Quality in Lashihai Watershed

Habitat quality assessments are of great significance for protecting biodiversity. This study analyzes the changing habitat quality of Lashihai watershed based on SPOT satellite images. We extracted the land use data for Lashihai watershed in Yunnan province for the years 2000 and 2015, and then used an InVEST model to evaluate habitat degradation, habitat quality and habitat scarcity in the study area from 2000 to 2015. Spatial statistical methods were used to determine changes to spatial dynamics. Results indicate that the number of areas with habitat degradation was generally small, and that both the number of areas with habitat degradation and the degree of degradation had fallen noticeably during the fifteen-year study period. In general, the quality of habitats was maintained or improved, while the quality of habitats decreased in only a few areas. The scarcity of habitats for cultivated land had increased, the tension between people and land use was relatively prominent. The reason habitat quality in Lashihai watershed has improved can be attributed to three factors: 1) The policy of returning farmland to forests since 2000 has been well implemented and has achieved remarkable results. Loss of forests from logging and deforestation has basically been eliminated, and great progress has been made restoring the ecological environment. 2) High background value of quality habitat suitability benefits from the research area’s high vegetation coverage. 3) The development of the local tourism economy has transformed the area’s ecological advantages into an economic bonus, greatly increasing the income level and living standards of residents. At the same time, the ecological resource bonus has increased the enthusiasm of residents for ecological protection and has helped to promote the protection of local eco-systems, both reducing ecological degradation and improving habitat quality. At the same time, increasing conflicts between land and people should be addressed. Support is needed to promote development of the ecological economy while continuously reducing ecological degradation and further increasing residents’ income. There must be less reliance on industry and less pressure on both land and people, all the while ensuring that the local economy and ecology can more forward together in a sustainable way.     

东印度洋海洋学综合科学考察航次概况

赤道东印度洋海域是西半球暖池的重要组成部分,对我国季风系统乃至全球气候变化研究意义重大.印度洋作为海上丝绸之路的交通要道,开展东印度洋海洋调查也是保障海上丝绸之路安全的重要一环.自2010年起,国家自然科学基金委为贯彻落实《国家自然科学基金"十一五"发展规划》的战略部署而设立的"国家自然科学基金委印度洋综合航次",极大地促进了海洋学科多学科交叉和融合,丰富了该海域的海洋观测数据,取得了丰硕的科研成果.本文介绍了2010年起至今的东印度洋海洋学综合科学航次考察的内容、进展和成果,并展望了东印度洋海洋学综合科学考察航次今后的主要方向.     

基于模糊自整定PID的直升机飞行控制律设计

在经典PID控制律基础上,引入模糊控制的概念设计模糊自整定PID控制律改进无人直升机姿态回路控制器,实现了PID控制器的参数在线自整定,并改善了控制器性能.通过Matlab对闭环系统进行算法仿真,表明模糊自整定PID控制器能够发挥优于传统PID控制器的控制性能.最后对所设计的控制器进行半物理仿真验证,通过对比典型输入指令下经典PID和模糊自整定PID两种控制器的控制效果,验证了模糊自整定PID对系统性能的优化.     

甘肃省气候舒适度时空分异特征研究

利用甘肃省37个气象台站的气候资料,采用温湿指数、风寒指数、着衣指数及综合舒适度指数等气候舒适度指标和反距离权重空间插值分析方法,对甘肃省气候舒适度的时空分异特征进行了详细分析,研究表明,4—10月气候舒适度都比较优越,6—8月气候舒适度最佳,1月、12月气候舒适度较差。气候舒适度整体呈纬度地带性变化,由东南向西北递减,同时垂直地带性影响显著,导致海拔较高的南部和中部地区气候舒适度较差,其中陇南市、天水市和白银市气候舒适度最好,其次为平凉市、庆阳市等地区,比较差的有甘南藏族自治州、张掖市和金昌市等地区。研究结果全面反映了甘肃省气候舒适度的时空分异规律,对于研究区旅游规划、人口分布研究等有一定参考价值。