基于MGWR的土壤pH值空间建模及其影响因素分析

以安徽、河南、江苏和山东省为研究区,利用599个土壤样点数据,从地形、气候和生物等方面选取与土壤pH相关的9个环境因子,采用多尺度地理加权回归（MGWR）、混合地理加权回归（Mixed GWR）、地理加权回归（GWR）和多元线性回归（MLR）这4种模型对研究区土壤pH空间分布进行建模,并结合MGWR与分位数回归揭示环境因子对土壤pH作用的空间差异性.结果表明：①研究区土壤pH在不同空间距离上呈不同程度的显著全局和局部空间自相关性,聚集特征明显.② 4种模型中MGWR模型最优,MGWR、Mixed GWR、GWR和MLR的建模集R_adj²为0.64、0.62、0.59和0.48.MGWR的残差独立分布性最强,其空间自相关性最弱,全局Moran''s I仅为0.07.③ 3种GWR预测结果显示,研究区土壤pH值空间分布总体由北至南逐渐降低,河南北部最高,安徽南部最低.④ MGWR回归结果表明年均降雨量（MAP）、多尺度谷底平坦度（MRVBF）和海拔对土壤pH的影响较强,且存在较强的空间异质性.在江苏北部和山东大部分地区,MAP对土壤pH的影响较强;在江苏北部和山东西部,MRVBF对土壤pH的正向作用较强;在江苏北部和中部,海拔对土壤pH的负向作用最强.⑤ MAP对不同分位数水平上的土壤pH均呈显著负作用,作用强度随分位数水平增加呈减弱趋势;MRVBF对低分位数水平（θ为0.1~0.4）上的土壤pH呈显著负作用,对高分位数水平（θ为0.5~0.9）的土壤pH作用不显著.研究结果可为利用MGWR开展大区域土壤属性影响因素分析及预测制图提供参考.     

A Spatially Explicit Model for Mapping Headwater Streams

Headwater streams are the primary sources of water in a drainage network and serve as a critical hydrologic link between the surrounding landscape and larger, downstream surface waters. Many states, including North Carolina, regulate activity in and near headwater streams for the protection of water quality and aquatic resources. A fundamental tool for regulatory management is an accurate representation of streams on a map. Limited resources preclude field mapping every headwater stream and its origin across a large region. It is more practical to develop a model for headwater streams based on a sample of field data that can then be extrapolated to a larger area of interest. The North Carolina Division of Water Quality has developed a cost‐effective method for modeling and mapping the location, length, and flow classification (intermittent and perennial) of headwater streams. We used a multiple logistic regression approach that combined field data and terrain derivatives for watersheds located in the Triassic Basins ecoregion. Field data were collected using a standard methodology for identifying headwater streams and origins. Terrain derivatives were generated from digital elevation models interpolated from bare‐earth Light Detection and Range data. Model accuracies greater than 80% were achieved in classifying stream presence and absence, stream length and perennial stream length, but were not as consistent in predicting intermittent stream length.     

基于PCA变换和神经元网络分类方法的中国森林制图研究

主要讨论基于NOAA AVHRR数据生成的NDVI时间序列数据与其他来源的地理数据结合进行中国森林细分类和制图的研究。首先利用ISODATA聚类方法对由NDVI时间序列数据派生的NDVI矩阵变量因子进行土地覆盖类型的分类，然后利用已有的植被类型图、TM影像以及地面样点数据作为参考依据, 进行类合并，获得中国森林边界。然后用PCA方法对NDVI时间序列数据进行信息增强与压缩处理，以排除各种干扰因素，提高分类精度。最后结合部分地理数据和地面样点调查数据，利用神经元网络方法进行中国森林分类，并依据种属和物候学特征、中国气候区划图以及国家植被分类二、三级分类系统，进行重新归类，得到最后的1 km中国森林分类图。分类结果表明，所用方法能够更加细致地划分森林类型，并且能保留一个相对较高的分类精度。     

基于新闻搜索的城市公共安全及其风险热点主题分析

为了更加清晰地梳理城市公共安全及其风险领域的研究热点,进一步促进相关领域的深入研究,提高城市公共安全管理水平。以新闻搜索方法研究城市公共安全及风险领域的热点主题,首先,借助爬虫软件获取2006-2016年城市公共安全及其风险相关新闻;然后,运用系统分析与文本分析绘制时间、新闻来源、关键词和应用领域标准下的研究热点主题知识图谱。研究结果表明:城市公共安全及其风险领域的热点主题主要包括,城市公共安全风险源特征分析;风险源形成、发展、衰退和演化规律研究;城市公共安全教育与演练和意识培养;应急处置机制探究和应急管理体系建设;大数据驱动的城市公共安全风险监测、预测预警和评估研究。     

Ozone Deposition to a Coniferous and Deciduous Forest in the Czech Republic

Estimates of ozone concentration and deposition flux to coniferous and deciduous forest in the Czech Republic on a 1 × 1 km grid during growing season (April–September) of the year 2001 are presented. Ozone deposition flux was derived from ozone concentrations in the atmosphere and from its deposition velocities. To quantify the spatial pattern in surface concentrations at 1 km resolution incorporating topography, empirical methods are used. The procedure maps ozone concentrations from the period of the day when measurements are representative for the forest areas of countryside. The effects of boundary layer stability are quantified using the observed relationship between the diurnal variability of surface ozone concentration and altitude. Ozone deposition velocities were calculated according to a multiple resistance model incorporating aerodynamic resistance (R _a ), laminar layer resistance (R _b ) and surface resistance (R _c ). Surface resistance (R _c ) comprises stomatal resistance (R _sto ). R _sto was calculated with respect to global radiation, surface air temperature and land cover. Modelled total and stomatal ozone fluxes are compared with the maps describing equivalent values of AOT40 (accumulated exposure over threshold of 40 ppb). For forests, the critical level (9,000 ppbh May–July daylight hours) is exceeded over 50% of forested territory. This indicates the potential for effects on large areas of forest. There is significiant correspondence between the exposure index AOT40 and the total ozone flux, but the relation between the total ozone flux and AOT40 exposure index is not clear in all parts of the forest territory.     

First application of automated land evaluation in iran

A computerized land evaluation was employed for a speedy land evaluation to locate a new industrial-urban development site in Iran under a multiple-land-use setting. A special-purpose programming language of modeling was generated to facilitate computer application. In doing so, some types of models were initially tested. Finally, an optimization model was decided on for this purpose, because it provided the best result. Four optimization models using linear programming were developed for evaluating the study area (south of Isfahan) involving agriculture, soil conservation, outdoor recreation, and industrial-urban development. Then, the models were combined to produce a multiple-use optimization model (MOM) for land-use classification and planning of the area. In applying the MOM model, a computerized map was produced to indicate the optimum capability of the area for industrial-urban development, agriculture, soil conservation, and outdoor recreation. The employed methodology provided a quick and meaningful result for the study area, which has a low biological productivity.     

An Environmental Application of Regional Geochemical Mapping in Understanding Enzootic Geophagia of Calves in the Reivilo Area, South Africa

A specific enzootic form of geophagia (the deliberate ingestion of soil) occurs in young cattle and sheep in restricted areas of the Barkley-West, Postmasburg and Vryburg Districts of the Northern Cape- and North West Provinces of the Republic of South Africa. It results in severe, subacute to chronic hepatitis and jaundice, with a high mortality rate in untreated cases. An association between the disease and high concentrations of manganese in soils was shown since all the affected farms are situated on outcrops of the Reivilo Formation of the Campbell Rand Subgroup, which consists mainly of manganiferous dolomite. Furthermore high concentrations of manganese were found in the analysis of liver specimens from affected calves and the characteristic microscopic pathological changes in the liver could be induced experimentally in a calf and lamb by oral administration of manganese sulphate. The highest incidence of geophagia occurs at 7 to 14 days, whereas calves older than about 2 months are rarely affected. The symptoms usually start with intermittent, progressive geophagia, followed by constipation, dehydration and death within ca. 7–10 days in untreated cases. Young calves and lambs display an insatiable appetite for soil and sometimes lick iron poles. The treatment of calves by the parenteral injection of commercial iron-dextran- and vitamin B₁₂ preparations at 1 to 2 days after birth, and at 14 days of age, at the registered therapeutic doses, appeared to have a marked preventative effect on the occurrence of geophagia and its complications. Regional geochemical maps show a northeast–southwest trending anomaly in MnO, Zn and Pb, visually correlating with the distribution of the affected farms. Anomalously high distributions of Pb and Zn are also spatially related to the Pering (Pb,Zn) Mine. In this study, two farms were selected for comparative purposes. Gam, a farm situated on the Reivilo Formation of the Campbellrand Subgroup was chosen where a high incidence of geophagia occurred, as well as the farm Holpan on the Lyttelton Formation of the Malmani Subgroup where the problem was not known to be present. The farm Holpan was chosen as a control area, and is situated close to an old manganese mine on dolomite with a high MnO content. Geographically, Holpan is situated in an area with a high rainfall, with leaching and the formation of deep red soils on the dolomite, together with a hilly relief and low soil pH_{H 2 O}. Gam is situated in an area with lower rainfall, where precipitation would be less than evapotranspiration. The dolomite of the Malmani Subgroup and the Reivilo Formation are significantly different in their soil geochemistry. The MnO, Fe₂O₃ ^T and Co contents are significantly higher in the soils of the Malmani Subgroup than in the Reivilo Formation. The MnO, Zn and Pb contents on Gam are higher than on Holpan, whereas the Fe₂O₃ ^T and Co contents are lower. Soil on Holpan contains iron-minerals such as haematite, while no iron minerals were detected in the soils of Gam. The concretions, found in the soils on both farms, differs remarkably in iron-contents. Concretions on both farms have similar high concentrations of MnO, whereas the FeO content are low for the concretions on Gam and high for Holpan. Preliminary comparative analytical results of the colostrum, sampled from cows with new born calves within three days of birth, do not entirely reflect the soil geochemistry of the different farms. Whereas the soils on Gam have higher MnO, Zn and Pb, and lower Fe₂O₃ ^T and Co than Holpan, the colostrum produced on Gam has lower Mn, Fe and Co than on Holpan. The Pb and Zn concentrations in the colostrum on both farms do not differ significantly. The comparative regional geochemical soil data, together with the colostrum data, suggest that young calves on the farm Gam probably suffer from Fe and Co deficiency. Conversely, it was illustrated that the Fe and Co content in the soils are high and the Fe is abundant in the concretions on the farm Holpan. These findings, together with the apparent absence of geophagia at Holpan, as well as the observed effect of iron and cobalt supplementation in the prevention of geophagia on the farm Gam, suggests an association of geophagia with iron and cobalt deficiencies on the farm Gam.