Simulation of site-scale water fluxes in desert and natural oasis ecosystems of the arid region in Northwest China

The study of water fluxes is important to better understand hydrological cycles in arid regions. Data-driven machine learning models have been recently applied to water flux simulation. Previous studies have built site-scale simulation models of water fluxes for individual sites separately, requiring a large amount of data from each site and significant computation time. For arid areas, there is no consensus as to the optimal model and variable selection method to simulate water fluxes. Using data from seven flux observation sites in the arid region of Northwest China, this study compared the performance of random forest (RF), support vector machine (SVM), back propagation neural network (BPNN), and multiple linear regression (MLR) models in simulating water fluxes. Additionally, the study investigated inter-annual and seasonal variation in water fluxes and the dominant drivers of this variation at different sites. A universal simulation model for water flux was built using the RF approach and key variables as determined by MLR, incorporating data from all sites. Model performance of the SVM algorithm (R² = 0.25–0.90) was slightly worse than that of the RF algorithm (R² = 0.41–0.91); the BPNN algorithm performed poorly in most cases (R² = 0.15–0.88). Similarly, the MLR results were limited and unreliable (R² = 0.00–0.66). Using the universal RF model, annual water fluxes were found to be much higher than the precipitation received at each site, and natural oases showed higher fluxes than desert ecosystems. Water fluxes were highest during the growing season (May–September) and lowest during the non-growing season (October–April). Furthermore, the dominant drivers of water flux variation were various among different sites, but the normalized difference vegetation index (NDVI), soil moisture and soil temperature were important at most sites. This study provides useful insights for simulating water fluxes in desert and oasis ecosystems, understanding patterns of variation and the underlying mechanisms. Besides, these results can make a contribution as the decision-making basis to the water management in desert and oasis ecosystems.     

基于ArcGIS Server的服务器对象扩展方法研究

针对ArcGIS Server现有功能无法满足一些特殊业务逻辑的问题,本文对Arc GIS Server服务器扩展方法进行了研究。阐述了ArcGIS Server面向服务的底层架构,在此架构下对三种主要GIS服务器扩展方法进行对比分析,得出服务器对象扩展是最可行的方法。最后对该方法的模型结构和实现流程进行研究,并通过具体的项目实例进行说明。     

浅谈现代测绘技术装备在国土资源管理中的应用

进入新世纪以来,随着计算机技术、信息技术等新技术的发展,测绘技术装备也得到迅速发展,现代测绘技术装备在自动化、高效化方面的能力越来越突出,获取的数据类型也更加多样化。利用现代测绘技术装备服务于国土资源管理已经是大势所趋。本文结合现代测绘技术装备在国土资源管理中的应用范例,给出了相应建议,旨在提高现代测绘技术装备的应用能力,为国土资源管理提供全方位的服务。     

SOE技术在测绘成果网络分发服务系统中的应用研究

作为测绘信息化的重要组成部分,测绘成果网络分发服务系统的建设提升了测绘成果信息化管理水平,促进了测绘成果的推广应用。本文在总结福建省测绘成果网络分发服务系统建设成果的基础上,基于SOE技术解决其在推广应用过程中存在问题,提高了测绘成果的公共服务能力与水平。     

基于开源GIS的黑龙江省农村土地确权影像分发软件开发与应用

黑龙江省农村土地确权影像分发面向地方农委和农业局等弱GIS对象,弱GIS对象缺乏专业GIS知识和软件,在使用、管理、查询、分发影像过程中存在困难。本文基于开源组件Dotsaptial设计和开发黑龙江省农村土地确权影像分发软件,满足相关对象对影像浏览、查询、统计、二次分发的需求,提高了黑龙江省农村土地确权影像分发服务质量。     

地理信息产业技术公共服务平台评价方法研究

福建省地理信息产业技术公共服务平台是福建省科技厅产业技术公共服务平台建设项目。要充分发挥该平台在推动地理信息产业发展中的作用,集聚产、学、研各方优势资源,提升中小企业的技术水平和创新能力,就要在交易平台中设计一套完善的评价方法,促进交易平台上交易双方不断提升自己的服务能力。本文介绍了常规电子商务网站的评价体系和存在的普遍性问题,并根据实际对本平台评价方法进行了初步设计。     

Thrombolite fabrics and origins: Influences of diverse microbial and metazoan processes on Cambrian thrombolite variability in the Great Basin,California and Nevada

Thrombolites are a common component of carbonate buildups throughout the Phanerozoic. Although they are usually described as microbialites with an internally clotted texture, a wide range of thrombolite textures have been observed and attributed to diverse processes, leading to difficulty interpreting thrombolites as a group. Interpreting thrombolitic textures in terms of ancient ecosystems requires understanding of diverse processes, specifically those due to microbial growth and metazoan activity. Many of these processes are reflected in thrombolites in the Cambrian Carrara, Bonanza King, Highland Peak and Nopah formations, Great Basin, California, USA; they comprise eight thrombolite classes based on variable arrangements and combinations of depositional and diagenetic components. Four thrombolite classes (hemispherical microdigitate, bushy, coalescent columnar and massive fenestrated) contain distinct mesoscale microbial growth structures that can be distinguished from surrounding detrital sediments and diagenetic features. By contrast, mottled thrombolites have mesostructures that dominantly reflect post‐depositional processes, including bioturbation. Mottled thrombolites are not bioturbated stromatolites, but rather formed from disruption of an originally clotted growth structure. Three thrombolite classes (arborescent digitate, amoeboid and massive) contain more cryptic textures. All eight of the thrombolite classes in this study formed in similar Cambrian depositional environments (marine passive margin). Overall, this suite of thrombolites demonstrates that thrombolites are diverse, in both internal fabrics and origin, and that clotted and patchy microbialite fabrics form from a range of processes. The diversity of textures and their origins demonstrate that thrombolites should not be used to interpret a particular ecological, evolutionary or environmental shift without first identifying the microbial growth structure and distinguishing it from other depositional, post‐depositional and diagenetic components. Furthermore, thrombolites are fundamentally different from stromatolites and dendrolites in which the laminae and dendroids reflect a primary growth structure, because clotted textures in thrombolites do not always reflect a primary microbial growth structure.     

风云卫星数据服务评价指标的验证分析

简述了目前我国风云卫星数据服务以及气象服务效益评估业务的现状,利用层次分析法提出风云卫星数据服务评价的6个1级指标和19个2级指标。设计了风云卫星数据服务评测量表,并采用分半信度、因子分析等方法对量表作信度和效度分析,结果表明所设计的评测量表具有良好的信度和效度,确定了包括服务平台易用性、服务流程规范性、服务响应及时性、服务内容完整性、服务工作主动性、服务宣传广泛性等6个方面的风云卫星数据服务评价指标。     

关于新型测绘的探索

探索新型测绘的产生背景与科学内涵等问题,对新时期测绘地理信息事业转型升级与跨越发展具有重要意义。该文首先从经济社会发展需求、测绘发展新阶段、测绘地理信息转型升级、测绘地理信息跨越发展4个方面阐述了新型测绘产生的背景;其次,从新型测绘关系角度给出了新型测绘的内涵与架构,从范围、内容、技术手段、体制机制方面描述了新型测绘的特征;再次,从新型测绘目标出发,描述了新型基础测绘的内涵、要求与主要任务,地理国情监测的总体目标与主要任务,公共服务与应急测绘的新需求与主要任务;最后围绕测绘地理空间数据获取、处理、管理、分析、服务与应用主线,探讨了新型测绘需要着重研究的新理论、新方法、新技术装备,旨在为新型测绘的研究与发展奠定基础。     

地球观测数据共享的发展和趋势

地球观测数据共享是地球科学和相关学科科研活动中非常重要的基础性工作,是对地观测信息生命周期中的重要环节。受到由资源提供者、资源消费者和资源加工者组成的社会生态系统发展变化的影响,共享模式经历了无共享、项目共享、部门共享、社会共享等渐进的4个发展阶段,并呈现出区域差异和阶段差异。地球观测数据共享的概念体系包含数据开放、数据共享、数据互联等不同层次的问题,并受到信息技术等使能技术的驱动。其中开放性代表数据在网络中可被访问的状态,共享性是对于数据重复使用的授权和模式,互联性则是强调可共享数据资源在科学含义上的相互理解。而地球观测数据共享的技术体系则包含数据开放技术、数据共享技术和数据出版与引用技术。目前地球观测领域的数据共享正在经历巨大的文化、政策、技术和应用变革,下一代的地球观测数据设施集中体现了数据的共享和协作,并将呈现国际化、多学科化、标准化、设施化、大数据化和公众社会化等新的技术特征,将对相关科学活动产生重大影响。