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????IGS????120??E???1999??2009??IONEX?????????????????????TEC?????????????С?????鷽??????????????????????????????????????TEC?????????????2009???TEC?????????????顣????????????????????????????????????TEC??仯?????????????????????Ч?????????????????????????????TEC?????????????????4.441 0??2.915 1 TECU??????????????23.26%??10.78%????????????????????????0.712 2??0.785 9??     

GROUNDWATER QUALITY AND CONTAMINATION INDEX MAPPING IN CHANGCHUN CITY, CHINA

1INTRODUCTIONGroundwater in Changchun City assures about 45% of total water supply. Drinking water supply of Chang-chun City was mostly served by surface water from Shitoukoumen and Xinlicheng reservoirs located in the east and south of the city (ZHANG, 1993). However, with the development of urban construction the ground-water especially from deep boreholes is also used for drinking purpose in suburban areas. The urbanization process in Changchun City threatens the groundwater quali…     

土壤粒径的光谱响应特性研究

以实验室制备的5个不同粒径水平的土壤样本和室内高光谱数据为基础,通过对光谱数据进行重采样、数学变换等预处理并进行单因素方差分析、相关性分析和回归分析,探讨土壤粒径的高光谱特性,建立了光谱数据预测土壤粒径的校正模型。结果表明,土壤粒径对反射光谱有显著的影响,波长越长影响越大;在全波段范围内土壤粒径和光谱数据都呈负相关关系,对原始光谱数据进行微分变换能增加其与土壤粒径的相关性;以反射率一阶微分建立的回归模型为反演土壤粒径的最佳模型,其建模决定系数■、预测决定系数■、预测相对偏差RPD分别为0.666,0.653,2.043,预测均方根误差RMSE为0.175。     

基于Voronoi邻近的物流车辆路径快速优化算法

 现代物流业需要快速高效并智能化制定物流运输方案。传统路径优化方法适合处理中小规模的车辆路径问题,计算时间较长,方案质量较低,故需发展短时间内能提供高质量路径方案的启发式算法。针对大规模物流车辆路径优化,本文提出了一种Voronoi邻近的快速优化方法。该方法先创建初始解,而后进行迭代优化。初始解创建利用Voronoi邻近关系,顾及车辆容量约束,自底向上进行客户点空间聚类,将问题降维;采用最廉价插入算法安排聚类内部路径,生成性质良好的初始解。迭代优化在客户点Voronoi邻近内进行有效的局部搜索,利用模拟退火机制接受较差解,从而跳出局部最优,不断提高解的质量。本文利用模拟生成的北京市大规模车辆路径问题进行实验,结果表明:本文算法能够在4500s内优化客户点高达12 000个物流车辆路径问题,计算时间较短,解的质量优良,算法性能稳定。本文与其他算法比较,能在较短时间内提供高质量车辆路径方案,适用于大规模物流车辆路径的优化。     

上海市三甲医院对周边地区住房价格的空间影响效应分析

选取上海市区7家三级甲等综合性医院,运用特征价格模型和多元回归分析方法,实证分析它们对周边住宅价格的空间影响效应。研究结果显示：① 总体上,相比其他环境区位因素,三甲医院对周边住宅价格的影响程度较小,而建筑面积、物业管理费、学区房、轨道交通、建筑楼高、至 CBD 的距离等因素的影响程度较大。② 三甲综合医院对周边住宅价格产生负面影响。在相同情况下,住宅离医院距离越近,则价格越低。住宅与医院的距离每缩短50 m,住宅价格平均下浮0.602%。③ 由于三甲综合医院区位各不相同,距离CBD远近不一,对住宅价格的影响也存在空间差异。一般来说,距离CBD越近,住宅价格受医院的负面影响也越小。     

Analysis on the sources of mercury in soils in the Chengdu Basin, China

Mercury is a pollutant of concern due to its toxic and bioaccumulative properties. Studies on the distribution and hazard of mercury in the environment are mainly focused on its forms, toxicity and the environment standard, and progresses and results have been achieved. But these studies in the past were concentrated on the scales of laboratory or smaller districts merely, such as a small unit of mineral area, vegetable base, paddy field, lake, etc. Multi-target regional geochemical survey carried out by China Geological Survey from the 1990s to now is a fundamental and commonweal geological survey, large-scale and systematical inquisition and research were conducted in 19 provinces （or municipalities directly under the Central Government） in the eastern overlay region of China, and the purpose is to provide the basic geochemical data for national economic construction, adjustment of industrial and agricultural structures and sustainable social development. Geochemical studies aim at investigating soils in these regions and 52 elements have been tested, producing a great amount of data at the same time. Methods： based on the data from 3061 samples of surface soil and 832 samples of deep soil from the project of multi-purpose geochemical survey in the Chengdu Basin, Sichuan, China, this paper describes the correlation relationship between Hg and other 48 elements and their spatial distribution in surface and deep soils of these areas by applying the method of linear regression and factor analysis.     

A spatial perspective for predicting enrollment in a regional pharmacy school

Having the ability to predict enrollment is an important task for any school’s recruiting team. The purpose of this study was to identify significant factors that can be used to predict the spatial distribution of enrollments. As a case study, we used East Tennessee State University (ETSU) pharmacy school, a regional pharmacy school located in the Appalachian Mountains. Through the application of a negative binomial regression model, we found that the most important indicators of enrollment volume for the ETSU pharmacy school were Euclidean distance, probability (based on competing pharmacy schools’ prestige, driving distance between schools and home and tuition costs), and the natural barrier of the Appalachian Mountains. Using these factors, together with other control variables, we successfully predicted the spatial distribution of enrollments for ETSU pharmacy school. Interestingly, gender also surfaced as a variable for predicting the pharmacy school’s enrollment. We found female students are more sensitive to the geographic proximity of home to school.     

粤港澳大湾区生态系统服务价值的时空演化及其影响机制

生态系统服务是生态要素、结构、功能和产品造福于人类社会的媒介和通道。根据生态系统服务价值（ESV）及其影响机制调节人类社会对生态系统的利用强度和保护方式,对于实现人地和谐的可持续发展目标具有重要意义。本文以粤港澳大湾区作为研究对象,依托遥感数据修订ESV核算结果,更加准确地揭示2000—2015年粤港澳大湾区ESV的时空演变特征,并引入面板分位数回归深入探索生态系统服务影响因素的分段效应,增加对生态系统服务影响机制的认识。结果显示：① 2000—2015年粤港澳大湾区ESV减速下降,下降区域主要分布在粤港澳大湾区中部和珠江入海口两岸等城市快速扩张区。② 在城市交界处,土地利用变化会带来更为强烈的ESV变化。③ 在ESV水平不同的区域,影响因素具有不同的影响效果。用地完整度仅在ESV的低值区可以促进生态系统服务能力提升。气温对生态系统服务能力的正向作用随ESV的提高而增强,经济密度对生态系统服务能力的负向作用随ESV的提高而减弱,二者均会导致ESV高值区与低值区间的差距增大,形成“自然马太效应”。     

祁连山黑河山区土地适宜性评价

以黑河山区为研究区域,利用Logic回归模型和空间分析技术对山区土地利用进行适宜性评价.以2011年土地利用现状数据作为背景值,构建气温、降水、海拔、坡度、人口密度、水系、交通网、村镇分布8种因子的评价指标体系.采用多尺度训练的方法确定适宜性评价最佳模拟尺度,对土地利用数据和评价因子进行Logic回归分析,得到评价因子对土地利用适宜性的影响程度.利用Spatial Analyst模块对对黑河山区土地适宜性进行评价,为区域土地资源合理利用提供科学参考.结果表明：（1）适宜性评价最佳尺度为210 m（ROC=0.79）.（2）Logic回归结果显示,坡度、气温（β_Temp=1.11）、降水对林地、草地的影响程度较高,同时距道路距离、人口密度（β_Pop=-0.555）对其分布也有重要影响.（3）山区土地利用适宜性排序为：Max_林地=Max_耕地 > Max_建设用地 > Max_裸地 > Max_草地 > Max_水域,林地与耕地最高,适宜性达到0.99.     

回归分析在确定多金属硫化物矿石密度中的应用

在研究多金属硫化物矿床的特点,分析以往矿床勘查中确定矿石密度值难点的基础上,通过建立矿石密度值与矿石各组分的多元线性回归数学模型,预测矿床的矿石密度值。