Remote sensing water observation for supporting Lake Victoria weed management

This paper aims to assess the suitability of remote sensing for enhancing the management of water body resources and for providing an inexpensive way to gather, on a wide area, weed infestation extent and optical parameter linked to the water body status. Remotely sensed satellite images and ancillary ground true data were used to produce land cover maps, trough classification techniques, and water compounds maps, applying radiative transfer models. The study proposed within the framework of the cooperation between Italian Foreign Affair Ministry (through the University of Rome) and Kenyan Authorities has been carried out on the Kenyan part of the Lake Victoria. This lake is one of the largest freshwater bodies of the world where, over the last few years environmental challenges and human impact have perturbed the ecological balance affecting the biodiversity. The objective of this research study is to define the thematic products, retrievable from satellite images, like weed abundance maps and water compound concentrations. These products, if provided with an appropriate time frequency, are useful to identify the preconditions for the occurrence of hazard events like abnormal macrophyte proliferation and to develop an up-to-date decision support system devoted to an apprised territory, environment and resource management.     

ARC/INFO软件系统在农业土地资源评价中的应用

具有几个土地要素层的综合土地单元制图在土地研究中正在获得日益广泛的应用,它是计算机制图的基础。腾冲农业土地资源评价是在 ARC/INFO 软件系统支持下,在综合土地单元图的基础上进行的。 本研究通过对比,应用了评价模式 TT=V1*(V2+V3+V4)/3*0.01,根据土地对农业利用的适宜程度,将腾冲地区的土地分为四个适宜性等级。     

Recent Changes in Soil Total Phosphorus in the Everglades: Water Conservation Area 3

We assessed recent changes in the distribution of soil total phosphorus (TP) in Water Conservation Area 3 (WCA-3) of the Everglades. Soil cores were collected in 1992 and 2003 at 176 sites. To reflect hydrologic boundaries within the system, WCA-3 was divided into three zones (3AN, 3AS, and 3B). Total P was mapped on both a mass (TPm) and a volumetric basis (TPv) to determine if spatial distributions varied depending on the choice of units. Interpolated maps for both years showed that the highest levels of TPm were located in 3AN and in boundary areas of all zones that received surface water inputs of P from canals. Increases in TPm were greatest in central 3AN in an area adjacent to the Miami Canal that received inputs from a water control structure. Interpolated maps for TPv illustrated that a hotspot present in 1992 had disappeared by 2003. The highest levels of TPv in 2003 were located in northwestern 3AN, a region of WCA-3 that has been chronically overdrained and burned in 1999. From 1992 to 2003, increases in TPm were observed for 53% of the area of WCA-3, while only 16% of WCA-3 exhibited increases in TPv. In 1992, approximately 21% of WCA-3 had TPm concentrations in the 0–10 cm layer >500 mg kg⁻¹, indicating P enrichment beyond historic levels. Eleven years later, 30% of the area of WCA-3 had TPm >500 mg kg⁻¹. This indicated that during this period, the area of WCA-3 with enriched TPm concentrations increased about one % year⁻¹.     

A geostatistical approach for mapping thematic classification accuracy and evaluating the impact of inaccurate spatial data on ecological model predictions

Spatial information in the form of geographical information system coverages and remotely sensed imagery is increasingly used in ecological modeling. Examples include maps of land cover type from which ecologically relevant properties, such as biomass or leaf area index, are derived. Spatial information, however, is not error-free: acquisition and processing errors, as well as the complexity of the physical processes involved, make remotely sensed data imperfect measurements of ecological attributes. It is therefore important to first assess the accuracy of the spatial information being used and then evaluate the impact of such inaccurate information on ecological model predictions. In this paper, the role of geostatistics for mapping thematic classification accuracy through integration of abundant image-derived (soft) and sparse higher accuracy (hard) class labels is presented. Such assessment leads to local indices of map quality, which can be used for guiding additional ground surveys. Stochastic simulation is proposed for generating multiple alternative realizations (maps) of the spatial distribution of the higher accuracy class labels over the study area. All simulated realizations are consistent with the available pieces of information (hard and soft labels) up to their validated level of accuracy. The simulated alternative class label representations can be used for assessing joint spatial accuracy, i.e., classification accuracy regarding entire spatial features read from the thematic map. Such realizations can also serve as input parameters to spatially explicit ecological models; the resulting distribution of ecological responses provides a model of uncertainty regarding the ecological model prediction. A case study illustrates the generation of alternative land cover maps for a Landsat Thematic Mapper (TM) subscene, and the subsequent construction of local map quality indices. Simulated land cover maps are then input into a biogeochemical model for assessing uncertainty regarding net primary production (NPP).     

北上台风生成和路径的卫星云图特征研究

对在太平洋上北上转向登陆日本的台风的生成和移动,利用卫星云图分析和云顶黑体温度计算作了研究。得出结论认为如果有一条或几条长达500～1000km以上的长云带卷入,且云顶黑体温度降低到-70℃以下,而-60℃的范围扩大到3×4个纬距以上,则热带低压很可能在24h以内发展成为热带风暴－台风。本文还确认,海表面温度Tss≥29℃是台风生成最重要的环境条件。通过对北上台风移动的卫星云图特征的研究,指出台风外围卷入的长云带走向往往预示着台风的未来移向。尤其是台风南部来自SW-S-SE方向的季风汇合带云带,不仅意味着台风强度的加强和维持,更预示着台风将往北移动。     

A Voronoi diagram based population model for social species of wildlife

A population model is presented that accounts for spatial structure within habitat patches. It is designed for social species of wildlife that form social group home ranges that are much smaller than patch size. The model represents social group home ranges by Voronoi regions that tessellate a patch to form a Voronoi diagram. Neighbouring social groups are linked with habitat-confined shortest paths and form a dispersal network. The model simulates population dynamics and makes use of Voronoi diagrams and dispersal networks as a spatial component. It then produces density maps as outputs. These are maps that show predicted animal densities across the patches of a landscape. A construction procedure for the particular Voronoi diagram type used by the model is described. As a test case, the model is run for the squirrel glider (Petaurus norfolcensis), a small arboreal marsupial native to Australia. A time series of density maps are produced that show squirrel glider density changing across a landscape through time.     

基于化学分析和气象信息综合表征大气铅污染

对天津市1998年11月-1999年2月期间21个玻璃纤维滤膜大气颗粒物样品,采用稀酸浸出法溶解后,测量了ρ(Pb),w(Pb)和同位素丰度比206Pb/207Pb.采用IDAS软件对样品进行聚类分析,分组的结果表明,在不同的天气条件下,各种污染源排放的贡献也不同.48 h反向风迹图提供了大量详实的气象信息,结合ρ(TSP),ρ(Pb),w(Pb)和同位素丰度比的数据,可用于综合表征铅污染的状况.      

边着色图上单色三角形个数的一种证明

通过赋权的方法讨论了单色三角形数量的范围,给出一种较简单的证明,介绍了板植图的存在性。     

Surfer软件在半封闭海湾环境质量综合评价中的应用研究

在介绍Surfer软件的基本原理的基础上,结合2012年胶州湾39个监测点位的水质数据,说明利用Surfer软件制作主要污染物等值线分布图及水质类别分布图的主要步骤,对水质分布类别和点位水质类别的一致性以及其中需注意的问题进行了探讨。利用Surfer软件制作半封闭海域的环境质量专题图件,水质分布情况更为明晰,可以为环境质量综合评价提供有效依据。     

基于自组织映射与随机森林耦合模型的流域水质空间差异性评估

流域水环境质量空间分布特征分析是推进流域精细化管理的基础.本研究基于流域特征指标与水质的关联性,以子流域为分析单元,利用自组织映射人工神经网络模型（SOM）对苕溪流域水质数据聚类分析为3类后与随机森林模型（RF）进行耦合,对全流域水质进行了空间差异性评估.研究结果显示,上游山地区域水质较好,而平原河网人口集聚区的COD_Mn、NH₃-N及TP浓度较高,山地与平原过渡地带水质则主要受到COD_Mn和TN的影响.采用自然环境、社会经济及土地利用/覆盖指标作为流域特征进行水质分级模式识别,SOM与RF模型耦合模型的准确率稳定在80%左右;在对强相关性特征进行筛选识别后,将蒸发蒸腾量、坡度、人口密度、大于10℃积温、旱地占比、城镇用地占比及景观多样性指数为作为输入特征,准确率可达83%,可以有效地开展全流域水质分级评估.