GeoPW: Laying Blocks for the Geospatial Processing Web

Recent advances in Web‐related technologies have significantly promoted the wide sharing and integrated analysis of distributed geospatial data. Geospatial applications often involve diverse sources of data and complex geoprocessing functions. Existing Web‐based GIS focuses more on access to distributed geospatial data. In scientific problem solving, the ability to carry out geospatial analysis is essential to geoscientific discovery. This article presents the design and implementation of GeoPW, a set of services providing geoprocessing functions over the Web. The concept of the Geospatial Processing Web is discussed to address the geoprocessing demands in the emerging information infrastructure, and the role of GeoPW in establishing the Geospatial Processing Web is identified. The services in GeoPW are implemented by developing middleware that wraps legacy GIS analysis components to provide a large number of geoprocessing utilities over the Web. These services are open and accessible to the public, and they support integrated geoprocessing on the Web.     

A double-differenced cycle slip detection and repair method for GNSS CORS network

The difficulty to detect and repair cycle slip of carrier phase measurements is a key limit for continuously high accuracy of GNSS positioning and navigation services. We propose an automated cycle slip detection and repair method for data preprocessing of a CORS network. The method jointly uses double-differenced (DD) geometry-free (GF) combination and ionospheric-free observation corrected for the computed geometrical distance (IF-OMC) to estimate the cycle slips in dual-frequency observations. The DD GF combination, which is only affected by the ionospheric residual, can be used to detect cycle slips with high reliability except for special pairs such as (77, 60) on GPS L1/L2 frequencies. The detection principle of the IF-OMC observable is such that there is a large discontinuity related to the previous epoch when cycle slips occur at the present epoch. The disadvantages of these two combinations can be overcome employing the proposed detection method. The cycle slip pair (77, 60) has no effect on the GF combination, while a change of 14.65 m is derived from GPS L1/L2 observations using the IF-OMC algorithm. Using pre-determined station coordinates as precise values, we found that the accuracy of the DD IF-OMC combination was 18 mm for a 200-km CORS baseline. Therefore, cycle slips in dual-frequency observations can be correctly and uniquely determined using DD GF and IF-OMC equations. The proposed method was verified by adding simulated cycle slips in observations collected from the CORS network under a quiet ionosphere and shown to be effective. Moreover, the method was assessed with observations made during intense ionospheric activity, which generated extensive cycle slips. The results show that the algorithm can detect and repair all cycle slips apart from two exceptions relating to long data gaps.     

Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management

Machine learning algorithms are an important measure with which to perform landslide susceptibility assessments,but most studies use GIS-based classification methods to conduct susceptibility zonation.This study presents a machine learning approach based on the C5.0 decision tree(DT)model and the K-means cluster algorithm to produce a regional landslide susceptibility map.Yanchang County,a typical landslide-prone area located in northwestern China,was taken as the area of interest to introduce the proposed application procedure.A landslide inventory containing 82 landslides was prepared and subse-quently randomly partitioned into two subsets:training data(70％landslide pixels)and validation data(30％landslide pixels).Fourteen landslide influencing factors were considered in the input dataset and were used to calculate the landslide occurrence probability based on the C5.0 decision tree model.Susceptibility zonation was implemented according to the cut-off values calculated by the K-means clus-ter algorithm.The validation results of the model performance analysis showed that the AUC(area under the receiver operating characteristic(ROC)curve)of the proposed model was the highest,reaching 0.88,compared with traditional models(support vector machine(SVM)=0.85,Bayesian network(BN)=0.81,frequency ratio(FR)=0.75,weight of evidence(WOE)=0.76).The landslide frequency ratio and fre-quency density of the high susceptibility zones were 6.76/km2 and 0.88/km2,respectively,which were much higher than those of the low susceptibility zones.The top 20％interval of landslide occurrence probability contained 89％of the historical landslides but only accounted for 10.3％of the total area.Our results indicate that the distribution of high susceptibility zones was more focused without contain-ing more"stable"pixels.Therefore,the obtained susceptibility map is suitable for application to landslide risk management practices.     

中国重要生态保护区域人类干扰时空变化特征分析

构建人类干扰指数,从时间和空间双重角度,评估中国重要生态保护区域人类干扰变化特征。研究表明：① 总体来说,2018年中国重要生态保护区域人类干扰低于全国平均水平,1980―2018年,和全国平均水平相比,中国重要生态保护区域人类干扰增加幅度小、增长趋势慢,定量说明中国重要生态保护区域人类活动整体管控成效好;② 1980―2018年,3类重要生态保护区域（国家级自然保护区、生物多样性优先区、重点生态功能区）人类干扰指数均呈逐步增加趋势。以“胡焕庸线”为界,重要生态保护区域以西、以北人类干扰总体较小,增加相对缓慢;以东、以南人类干扰相对明显,增加也相对明显,今后对这些区域要重点加强管控;③ 国家级自然保护区人类干扰指数在5个监测年份均最低,增加趋势最平缓、增幅最小,人类活动实际管控成效最好;重点生态功能区和生物多样性优先区人类干扰相对较大,管控成效有待显现,结果反映中国对重要生态保护区域分类管控力度和梯度的差异;④ 重要生态保护区域内部人类干扰指数及增幅均低于外部未受保护区域,构建重要生态保护区域有效降低人类干扰。     

西安市地震应急指挥技术系统设计与实现

本文从系统总体架构设计、系统功能设计与应用成果、系统特色4个方面简要介绍了西安市地震应急指挥技术系统设计与实现情况.本系统是首个应用于省会城市地震应急工作,并基于国产Server GIS软件平台研制开发出的地震应急指挥技术系统,可为大城市地震应急指挥技术系统的建设与发展提供可借鉴的经验.     

基于新型分层邻域阈值搜索法提高水下潜器重力匹配导航的匹配效率

本文开展了水下潜器重力匹配导航的匹配效率改善研究.第一,为克服传统TERCOM算法逐点遍历搜索效率较低的缺点,提出新型分层邻域阈值搜索法.其原理如下：首先,利用4格网间隔数进行粗搜索匹配;其次,为提高初始匹配点的选取标准设置4 mGal阈值（基准图上重力值与实测重力值之差）,对选取的若干粗搜索行最佳匹配点周围24邻域点进行取舍并匹配比较;最后,获得搜索范围内最佳匹配点.第二,综合考虑了重力场标准差、峰度系数、坡度标准差、粗糙度、信息熵等重力场主要特征参数,将其作为适配区优劣的分析依据.第三,在适配性良好的区域内,在保证水下导航精度的前提下,基于分层邻域阈值搜索法,以本文参数设置为例,水下潜器重力匹配导航的匹配效率提高约14.14倍.

     

Vertical variations and transport mechanism of soil moisture in response to vegetation restoration on the Loess Plateau of China

Soil moisture is essential for vegetation restoration in arid and semi-arid regions. Ascertaining the vertical distribution and transportation of soil moisture under different vegetation types has a profound effect on the ecological construction. In this study, the soil moisture at a depth of 500 cm for four typical vegetation types, including Robinia pseudoacacia, Caragana korshinskii, Stipa bungeana, and corn, were investigated and compared in the Zhifanggou watershed of the Loess plateau. Additionally, hydrogen and oxygen stable isotopes were detected to identify the transport mechanism of soil moisture. The results showed vertical distribution and transportation of soil moisture were different under different vegetation types. Depth-averaged soil moisture under S. bungeana and corn generally increased along the profile, while C. korshinskii and R. pseudoacacia showed weakly increasing and relatively stable after an obvious decreasing trend (0–40 cm). The soil moisture under R. pseudoacacia was lower than that under other vegetation types, especially in deep layer. However, the effect of R. pseudoacacia on soil moisture in the topsoil (< 30 cm) could be positive. For R. pseudoacacia (160–500 cm), C. korshinskii (0–500 cm), and S. bungeana (0–100 cm), the soil moisture declined with increased in vegetation age. Planting arbor species such as R. pseudoacacia intensified the decline of soil moisture on the Loess Plateau. The capacity of evaporation fractionation of soil moisture followed the sequence: corn > S. bungeana > R. pseudoacacia > C. korshinskii. The δ¹⁸O values in soil water fluctuated across the profile. The δ¹⁸O values changed sharply in upper layer and generally remained stable in deep layer. However, in middle layer, the vertical distribution characteristics of the δ¹⁸O values were different under different vegetation types. We estimated that piston flow was the main mode of precipitation infiltration, and the occurrence of preferential flow was related to vegetation types. These results were helpful to improve the understanding of the response of deep soil moisture to vegetation restoration and inform practices for sustainable water management.     

内蒙古翁公敖包航磁异常的推断与解释

文章对内蒙古四子王旗—土默特右旗中北部近年发现的翁公敖包航磁异常进行推断与解释,在对找矿有望的航磁异常进行筛选后,对翁公敖包航磁异常进行了野外地质-地球物理查证,确定异常为铁矿所致;采用向上延拓、垂向导数、斜导数及小波变换等方法对航磁异常进行数据转换处理,以获取铁矿体的横向及纵向分布信息,取得了较好的效果。     

钻孔瞬变电磁方法探测越界开采采空区的应用

煤矿井下越界开采扰乱煤炭资源开发秩序,同时存在巨大的安全隐患,准确探测越界开采采空区及其边界对安全采掘极为重要。常规的矿井瞬变电磁探测方法容易受到巷道中的金属和电磁信号干扰,探测精度有限,难以满足采空区边界精准解释的需求。为了解决这一问题,提出一种钻孔中收发信号的钻孔瞬变电磁方法和施工工艺,利用其远离巷道和靠近异常体的特点,提高异常信号在实测数据中的占比;并研究可行域约束的OCCAM反演算法,进一步减小体积效应影响,实现了对越界开采采空区的电阻率精细成像。结合山西某煤矿的工程实践,对该方法精准探测邻矿越界开采采空区规模、性质的实用性和有效性进行了检验。结果表明,钻孔瞬变电磁方法是矿井地球物理技术与钻探工艺技术的高效结合和有益补充,基于可行域约束的OCCAM反演算法能够有效应用于越界开采采空区的边界精确成像解释。      

水下无线光通信中关键技术的研究与进展

由于水下无线光通信（Underwater Wireless Optical Communication,UWOC）具有高速率、低延迟和高保密性等优势,成为了水下无线通信的潜在应用。针对UWOC系统的模型及研究现状进行了简要的总结,重点阐述了UWOC系统所用到的关键技术,包括光源的选择、调制编码、探测、信道建模等关键技术,并介绍了一种UWOC系统的设计方案。最后针对实现水下长距离通信和高速率传输等问题,总结了UWOC未来的发展趋势及所面临的挑战,为UWOC将来的发展方向及实用化提供了参考。