Species diversity variation of Cupressus funebris secondary forest in landslide site after 5.12 Wenchuan Earthquake北大核心CSCD

The characteristics of species diversity in Cupressus funebris secondary forest under the effect of geological hazard were explored by selecting the typical landslide surface of Fenghuang Mountain, Leigu Town, Beichuan County, which was derived from the 5.12 Wenchuan earthquake. The results showed that 93 species belonged to 42 families, and 78 genera were found in the landslide area, where the main families were Compositae, Leguminosae, and Gramineae-based. Further, 97 species in the transition area belonged to 39 families and 80 genera, and the main families were Compositae, Gramineae, and Rosaceae-based. In all, 108 species were recorded in the non-landslide area, which belonged to 59 families and 92 genera, the main families of which were Compositae, Rosaceae, and Gramineae-based. Compositae and Gramineae played important roles in the landslide recovery process after earthquake. The Pielou index (JSW) was the highest in the non-landslide area of the herb layer, whereas the richness index (D) was the lowest; the Shannon-Wiener index (H) and Simpson index (H') showed medium values. In the non-landslide area, the D, H, and H' were the highest in the shrub layer, whereas the JSW was the lowest. Further, the species diversity index of the transitional area was higher than that of the landslide area. In the tree layer, the D and H were both the highest and lowest in the landslide area and transition area, respectively. In contrast, the H' and JSW were the highest in the transition area and the lowest in the non-landslide area. The distribution of vegetation was generally consistent with the distribution of soil nutrients in the spatial distribution of surface soil nutrients. The succession of trees in the landslide area was relatively slow and at the initial stage, and the pioneer species were Coriaria nepalensis, Leptopus chinensis, and Arthraxon lanceolatus in this area. Taken together, the findings suggested that the stability of a plant community can be increased by improving the soil and stabilizing the slope. © 2018 Science Press. All rights reserved.     

水环境监测信息集成、共享与决策支持平台构建

以水环境监测数据可靠传输交换与集成、信息规范化处理分析、高效共享与决策支持为应用主线,对水环境监测信息集成、共享与决策支持平台的建设目标、总体架构、主要功能进行了研究,设计了平台的总体架构及主要功能,以实现涉水部门水环境信息的采集、传输、交换、存储、分析、发布、共享、展现等,为环境管理与决策人员、为公众、为各级(国家级流域级省级地市级县级)环境监测业务人员提供信息支撑。     

西藏环境信息化基础建设设计实践

描述了西藏环保厅“西藏自治区环境保护厅环境信息化能力建设项目”前期调研、设计的过程,总结在西藏信息化发展基础差、技术人才少、资金投入紧张、稳定性要求高、信息技术发展迅速等现实情况下基础信息化项目建设前期设计特点,为西藏或其他欠发达地区信息化基础建设项目设计提供参考。     

农户对农业农村信息化认知的影响因素分析——基于甘肃地区农户的样本调查

当代农业信息在推动农村经济发展、增加农民收入方面发挥着越来越重要的作用.农户是农业信息消费与需求的重要主体之一,他们对信息化的认知对农业农村信息化建设工作具有重要影响.在对甘肃地区农户样本调查数据进行多重线性回归分析的基础上,得出农户人均收入水平、耕地面积、农田水利条件等因素对农户认知农业农村信息化有重要的促进作用,提出了相关对策和建议.     

电子信息行业的水环境压力分析

电子信息行业长期以来都被定义为一个“高产值、低能耗”的清洁产业,其水环境压力经常被低估.以长三角电子信息产业集群的核心地区太湖流域为例,对电子信息行业的水资源消耗、废水和主要污染物排放以及危险废弃物的处置等方面进行了评估,发现高度集聚的巨大产能与特定区域水环境容量的矛盾、污染的产业链转移以及处于“微笑”曲线底部引致的环境投入压力是我国电子信息行业水环境压力的主要表现.     

A convective wind resource model for Solar Vortex power generation

ABSTRACT

Climate change has increased the need for clean, nonpolluting energy sources to decrease dependence on fossil fuels. Alternative energy sources, mainly solar and horizontal wind, have been the primary focus for producing clean energy. New technologies are being developed, such as the Solar Vortex (SoV), which was developed at the Georgia Institute of Technology, and relies on a vertical wind resource to generate power. The National Renewable Energy Lab (NREL) has resource models representing solar and horizontal wind resources across the 48 United States. This research developed a vertical wind resource model that is comparable in resolution to NREL’s solar and horizontal wind resource models and uses the model for estimating power output for the SoV. This model complements NREL’s existing resource models and supports the deployment of an additional clean energy generation technology. The model was applied to Mesa, Arizona to find feasible sites for a small-scale vertical wind farm.     

Intentionally building relationships between participatory online groups and formal organisations for effective emergency response

Advances in information and communication technologies enable the public to contribute to emergency response. For instance, reporting systems set up during recent disasters allowed affected people to submit testimonies about conditions on the ground. In addition, the public has analysed data and helped to mobilise and deliver relief resources. To plan intentionally for an integrative emergency response system in the networked age, this research explores two subject areas: (i) the organisational and technical determinants of relationships forged between formal organisations and participatory online groups established by the public; and (ii) the consequences of the outcomes generated by these relationships. Four in‐depth case studies were selected for the analysis, which revealed that resource dependence, shared understanding, and the use of certain types of information technology influence the formation of such relationships. Furthermore, healthy collaborative relationships increase the chances of desirable results, including inter‐organisational alignment and minimal long‐term harm owing to a disaster.     

Classification of residential areas according to physical vulnerability to natural hazards: a case study of Çanakkale,Turkey

The selection of new settlement areas and the construction of safe buildings, as well as rendering built‐up areas safe, are of great importance in mitigating the damage caused by natural disasters. Most cities in Turkey are unprepared for natural hazards. In this paper, Çanakkale, located in a first‐degree seismic zone and sprawled around the Sartçay Delta, is examined in terms of its physical vulnerability to natural hazards. Residential areas are analysed using GIS (geographic information system) and remote‐sensing technologies in relation to selected indicators. Residential areas of the city are divided into zones according to an evaluation of geological characteristics, the built‐up area's features, and urban infrastructure, and four risk zones are determined. The results of the analysis show that the areas of the city suitable for housing are very limited. In addition, the historical centre and the housing areas near Sartçay stream are shown to be most problematic in terms of natural disasters and sustainability.     

基于模糊信息概率区间数的突发地质灾害降水因子评价研究

根据2010、2012两年云南省的820个地质灾害监测记录,基于模糊信息概率区间数的大小来开展降水量因子的评价研究。结果表明:突发地质灾害发生前10 d的单日降水量与灾害的关系很小,基本不能用于预警模型的建立和风险评价分析;累积降水量与突发地质灾害关系明显,特别是5~10 d的累积降水量预测概括率已达60%以上,可以用于突发地质灾害预警模型的建立和实际的监测预警;加衰减系数的有效累积降水量因子对突发地质灾害预测效果并无提升,与普通累积降水量因子相比并无优势。     

DEVELOPMENT OF A BASIN GEOMORPHIC INFORMATION SYSTEM USING A TIN-DEM DATA STRUCTURE1

ABSTRACT: To make a distributed rainfall-runoff model, it is very important to build a model of topographic surface of a basin which takes account of the direction of water flow. In this paper, a geographic information system in hydrologic modeling, the BGIS (Basin Geomorphic Information Systems) are presented for modeling a river basin using a TIN-DEM (Triangulated Irregular Network - Digital Elevation Model) data structure. The BGIS have two core systems, which are the TIN-DEM generating system and the topographic analysis system. In the TIN-DEM generating system, landscapes are modeled as a set of contiguous non-overlapping terangular facets whose vertices are made up of points on a regular grid DEM and on river segments. These triangular facets are subdivided, if needed, so that each of them has only one side through which water flows out. The TIN-DEM generating system is made up of four modules, (1) a module for generating triangles from a grid DEM, (2) a module for getting rid of pits, (3) a module for joining discontinuous valley segments to a channel network, (4) a module for subdividing triangular facets. In the topographic analysis system, using datasets processed with the TIN-DEM generating system, a watershed source area for any segments in a stream network are delineated automatically, and topographic attributes of slopes, aspects, flow path lengths and upslope contributing areas are computed.