矿山遥感编图中的高分辨率遥感数据选择与比例尺计算方法

通过对青海调查矿区多种高分辨率卫星数据处理后形成的图像进行解译和编图,掌握了合理选择遥感数据信息源、利用制图软件计算遥感影像图比例尺及编制野外调查和成果解译图的技术方法。得出在选择遥感数据时要考虑不同数据的技术参数、性价比及调查区面积;明确了当图像的出图分辨率确定后,其比例尺与图像的空间分辨率、像素大小、文档大小有直接关系,同时建立了计算遥感图像最佳比例尺和最佳出图比例尺的公式和方法;介绍了利用Photoshop和Mapgis软件,编制矿山野外调查用图和遥感解译成果图件的流程及方法。这些工作的完成对青海矿业开发地质环境效应调查起到了积极的指导作用,也充分体现了高分辨率遥感图像在工作条件艰苦地区的优势作用。     

基于抗灾能力的矿渣型泥石流风险评价方法——以小秦岭金矿区为例

考虑到近年来国家对小秦岭金矿区矿山泥石流防治工程投入、山区居民抗灾意识逐步增强等实际情况,从承灾体抗灾能力对风险的减弱作用出发,尝试提出了矿渣型泥石流抗灾能力评价指标及评价方法,并将其运用到泥石流风险评价模型中。抗灾能力评价结果表明,研究区所有支沟的泥石流抗灾指数普遍不高,抵御泥石流风险的能力不强。风险评价结果显示,18条支沟中仅有东桐峪的北沟泥石流风险性高,其余均为中等风险级别。这一结果低于传统泥石流风险评价模型的评价结果,是区域内泥石流沟谷中承灾体主动或被动抵抗泥石流危害能力的体现。     

近20年屯堡聚落聚集区乡村聚落规模演变——以安顺市西秀区为例

以西秀区2000、2010和2020年乡村聚落斑块为基础数据,运用乡村位序-规模法则、聚落规模等级模型等方法,分析西秀区乡村聚落等级规模分布特征及演变规律,并分析屯堡聚落在该过程的发展变化。结果显示：1）乡村聚落总规模、聚落数量总体上呈增长趋势,3个时段屯堡聚落面积占乡村聚落总面积的比例超过20%;2）西秀区乡村聚落规模分布符合乡村位序-规模法则,拟合优度在0.90以上,负指数分布特征突出,并表现出“首位聚落”和“垂尾”分布特征,2000—2010年乡村聚落规模趋于集中分布,2010—2020年趋于均衡;3）不同等级乡村聚落空间分布位置相对稳定,数量上呈低等级向高等级演变;4）屯堡聚落规模稳定增长,是高位序、高规模等级聚落的重要组成部分,但少部分屯堡聚落位序出现倒退现象。未来应科学规划乡村聚落用地布局,形成合理的乡村聚落等级规模结构,保护屯堡文化,打造区域特色聚落。     

Impacts of climate change on crop evapotranspiration with ensemble GCM projections in the North China Plain

As one of the key grain-producing regions in China, the agricultural system in the North China Plain (NCP) is vulnerable to climate change due to its limited water resources and strong dependence on irrigation for crop production. Exploring the impacts of climate change on crop evapotranspiration (ET) is of importance for water management and agricultural sustainability. The VIP (Vegetation Interface Processes) process-based ecosystem model and WRF (Weather Research and Forecasting) modeling system are applied to quantify ET responses of a wheat-maize cropping system to climate change. The ensemble projections of six General Circulation Models (GCMs) under the B2 and A2 scenarios in the 2050s over the NCP are used to account for the uncertainty of the projections. The thermal time requirements (TTR) of crops are assumed to remain constant under air warming conditions. It is found that in this case the length of the crop growth period will be shortened, which will result in the reduction of crop water consumption and possible crop productivity loss. Spatially, the changes of ET during the growth periods (ET_g) for wheat range from ?7 to 0 % with the average being ?1.5?±?1.2 % under the B2 scenario, and from ?8 to 2 % with the average being ?2.7?±?1.3 % under the A2 scenario/consistently, changes of ET_g for maize are from ?10 to 8 %, with the average being ?0.4?±?4.9 %, under the B2 scenario and from ?8 to 8 %, with the average being ?1.2?±?4.1 %, under the A2 scenario. Numerical analysis is also done on the condition that the length of the crop growth periods remains stable under the warming condition via breeding new crop varieties. In this case, TTR will be higher and the crop water requirements will increase, with the enhancement of the productivity. It is suggested that the options for adaptation to climate change include no action and accepting crop loss associated with the reduction in ET_g, or breeding new cultivars that would maintain or increase crop productivity and result in an increase in ET_g. In the latter case, attention should be paid to developing improved water conservation techniques to help compensate for the increased ET_g.     

Kinematics of the Open Cluster System in the Galaxy

Absolute proper motions and radial velocities of 202 open clusters in the solar neighborhood, which can be used as tracers of the Galactic disk, are used to investigate the kinematics of the Galaxy in the solar vicinity, including the mean heliocentric velocity components (u_1,u_2,u_3) of the open cluster system, the characteristic velocity dispersions (σ_1,σ_2,σ_3), Oort constants (A, B) and the large-scale radial motion parameters (C,D) of the Galaxy. The results derived from the observational data of proper motions and radial velocities of a subgroup of 117 thin disk young open clusters by means of a maximum likelihood algorithm are: (u_1,u2,u3) = (-16.1±1.0, -7.9±1.4,-10.4±1.5) kms~(-1), (σ_1,σ_2,σ_3) = (17.0 ±0.7,12.2±0.9,8.0±1.3) kms~(-1),(A,B) = (14.8±1.0,-13.0±2.7) kms~(-1) kpc~(-1) ,and(C,D) = (1.5±0.7,-1.2±1.5) kms~(-1) kpc~(-1) . A discussion on the results and comparisons with what was obtained by other authors is given.     

Review and Prospect of Global Operational Ocean Forecasting

The marine environmental forecast plays an increasingly important role in economic growth and infrastructure development, and touches upon many fields and aspects, including marine security, energy resources development and protection, ocean shipping and fisheries. Global Ocean Data Assimilation Experiment (GODAE) OceanView supports the national research groups providing them with coordination and technical support among the partners. Forecasting centers develop and establish global operational ocean forecast systems. The global operational ocean forecasting system uses the ocean dynamic numerical model as the dynamic framework, and the near real-time high-quality observation input field is integrated into the model by data assimilation to realize the future environmental forecasts of the marine conditions covering the multi-time scale. The products are routinely validated with observations in order to assess their quality. This paper briefly introduced and reviewed the development process and current situation of the global ocean forecasting system covered by GODAE OceanView, and outlined the future development of global ocean forecasting.     

青藏高原典型金属矿山河流重金属污染对比

为研究青藏高原金属矿山勘探、开采、闭坑阶段不同开发阶段河流重金属污染的严重程度,通过野外调查,室内测试分析,对比5个金属矿山河流重金属元素含量、污染指数沿程变化,得出以下结果:(1)勘探阶段和闭坑后河流水质污染较小,开采阶段矿业活动对河水水质污染较大。(2)As、Pb、Cd、Cu和Zn五种元素是金属矿山的特征污染物。开采矿区中德尔尼铜矿区、下柳沟铅锌矿、甲玛矿区河流均有重金属元素污染,微碱性环境中德尔尼铜矿区,主要污染物为As,单项污染指数为0～10.6;下柳沟铅锌矿Pb、Cd、Cu和Zn元素单项污染指数分别为0.2～2.1、0～55、0.4～24、0.3～1550;偏酸性环境中甲玛矿区的特征污染物主要为Cu、Cd。其中Cu、Cd单项污染指数为0～4174、0～4;勘探矿区大场金矿、闭坑矿区罗布莎铬铁矿区河流未出现污染元素。(3)青藏高原5处典型的高海拔山地矿山河流由于稀释作用重金属流经2km后达到安全水平,研究结果可为青藏高原矿山开采中河流水环境保护提供参考依据。     

宁东煤炭基地梅花井矿区地下水三氮特征及成因

为研究大规模综合机械化采煤氮污染来源及影响程度,选取宁东煤炭基地侏罗纪煤田鸳鸯湖矿区的梅花井井田为研究对象,通过调查取样分析,对梅花井井田地下水三氮污染分布、物源、水文地质条件进行研究。结果表明:(1)宁东煤炭基地鸳鸯湖矿区梅花井井田三氮NH4+、NO3-、NO2-含量范围分别为0.06～0.12mg/L、4.67～234mg/L、0.01～2.01mg/L,与国家地下水质量标准Ⅲ类水质限值对比,NO2-达到重度或极严重污染,主要分布在潜水含水层;NO3-污染级别为中度、轻度污染,超标样点占调查样点的75%,垂向上已延伸到承压含水层。水平空间上无论矿权范围还是矿权外,污染样点均有存在。(2)部分水样中NO3-毫克当量百分数超过25%,对水化学类型产生影响。(3)煤矿区NO3-、NO2-的污染首先与丰富的物源有关,还受煤矿开采扰动、地形地貌条件、垂向补给径流、水文地球化学条件等因素的影响。研究结果为风积沙大型机械化煤矿开采区地下水氮污染的防治提供了可参考依据。     

青藏高原高寒草甸土壤水分运移机制

查明青藏高原高寒草甸区土壤水分运移机制,对正确理解土壤水分迁移过程、提高高寒草甸重建效率具有重要指导意义。通过开展土壤剖面负压、地温观测等原位试验,结合气象资料,对土壤剖面地温、含水率及总水头特征进行分析。结果表明,土壤的冻结期起始于10月,解冻期起始于4月;地温最高值出现在植物生长旺盛期8月,最低值出现在1月;1～3月土壤水分呈固态,6～10月土壤水分呈液态,处于稳定变化阶段,4～5月、11～12月土壤水分呈固液转化态,含水率变化幅度较大,处于过渡阶段。随着气温升高及降水量增加,6～8月水热同季有利于高寒草甸生长,属于高寒草甸主要生长阶段;春季土层由表及深土壤解冻,冻土层滞水性能保障了返青期春旱牧草生长的水分需求;深秋季节的由表及深的土壤冻结,深层土壤水分随水汽发生的表聚作用保障了牧草生长的水分需求,也是高原生态系统能够维持稳定的原因之一。     

Evolution of an anticyclonic eddy southwest of Taiwan

Satellite images of sea-surface temperature, surface chlorophyll a concentration, and sea-level anomaly, together with ocean reanalysis data of Asia and Indian–Pacific Ocean (AIPOcean1.0), are utilized to study the three-dimensional characteristics and evolution of an anticyclonic warm eddy adjacent to the southwest coast of Taiwan during October and November 2006. Originated from the Kuroshio intrusion in the Luzon Strait, but unlike previously found westward moving anticyclonic eddies (AE) in the northeastern South China Sea, this AE was so close to the Taiwan coast and stayed where it was formed for over 1 month until it dissipated. Energy analysis is utilized to study the evolution process of the AE, and it shows that the barotropic instability (BTI) and baroclinic instability introduced by the Kuroshio intrusion flow appear to be the main energy sources for the AE. Periodical enhancement/relaxation of local northeasterly monsoon and its associated negative wind stress curl modify the current patterns in this region, reinforce the intraseasonal variability of the Kuroshio intrusion flow, and act together with Kuroshio to form the AE. Eddies detected from AIPOcean1.0 data also show that AEs are most likely to be generated southwest of Taiwan during the transition period of summer monsoon to winter monsoon, and generally, the BTI of Kuroshio intrusion contributes more than the direct wind stress work to the increase of the eddy kinetic energy for the generation and growth of the AEs.