浅论环境监测数据的综合分析方法

准确、可靠、可比的环境监测数据是环境科学研究工作的基础,是环境管理的依据。在第一时间判断出监测分析数据是否合理的基础上,再对监测分析的数据作进一步的分析评价,是整个数据综合分析的基础,为进一步综合分析数据提供了依据。本文通过分析几种常用的监测数据的分析方法,说明对监测数据进行综合分析是至关重要的。     

Landscape-climatic changes on the eastern macroslope of the Northern Urals over the past 50000 years

Landscape-climatic changes are described that took place in the second half of the Late Neopleistocene and Holocene on the eastern macroslope of the Northern Urals. On the basis of geochronological and palynological data, the composition of paleocommunities in different time sections over the past 50000 years has been reconstructed in detail. Paleoclimatic parameters calculated by the zonal-formation method are presented.     

图像挖掘技术在林火影像中的应用

提出了林火遥感图像挖掘的概念,描述了图像挖掘技术在林火遥感图像上的具体应用及实现,针对林火部门每天产生并存储的有价值的林火遥感图像,结合林火上所特有的领域知识,提出了一种通过对林火遥感图像进行图像挖掘,可以将林火遥感图像分成有火或无火两类图像的方法。该方法的实现对帮助林火工作人员及早发现火情,做出火灾预测并采取相应措施具有重大的意义。     

高危作业预警计算机系统设计

为了利用计算机技术对高危作业有害因素的预防控制水平进行动态评估和预警,在对现有的安全预警系统进行分析总结的基础上,根据高危作业的特点,给出了高危作业预警系统的设计方案.     

基于有界数据包络分析(DEA)模型的应急避难场所效率评价

应用数据包络分析(DEA)方法,针对应急避难场所规划建设和运营维护两种情况,分别建立以建设成本和运营成本为输入指标,以服务性、可达性、安全性为输出指标的效率评价指标体系,并选择有界DEA模型,分层次对应急避难场所的投入产出效率进行评价。实证案例表明,临时和中长期避难场所比短期避难场所更容易获得较高的DEA效率;位于区域内部、交通便利的应急避难场所DEA效率较高;提高应急避难场所的综合利用水平,更有利于提高其DEA效率。     

Correcting sample selection in FARS data to estimate seatbelt use

Introduction

In this paper, we show that FARS data can be a comparable alternative to observational NOPUS data in estimating seat belt use in the United States once we correct for sample selection bias.

Results

Based on assumptions of independence for seatbelt choice, we establish a lower and upper bound for seatbelt usage rates, and find that once we correct for sample selection bias, the seatbelt usage estimates from the corrected FARS emerge at least as a comparable alternative to NOPUS estimates.

Impact on Industry

This implies that researchers can use corrected FARS to complement NOPUS, thus being able to utilize the rich cross-sectional details available in FARS data to analyze various relevant research questions.     

The USGS Water Availability and Use Science Program: Needs,Establishment, and Goals of a Water Census

Many reports have recognized the need for a national water census for the United States and have called upon the U.S. Geological Survey to undertake this challenge. For example, the National Science and Technology Council stated: “The United States has a strong need for an ongoing census of water that describes the status of our Nation's water resource at any point in time and identifies trends over time.” Responding to the need for this information, the U.S. Congress established the SECURE Water Act. The directives are to provide a more accurate assessment of the status of the water resources of the United States; determine the quantity of water available for beneficial uses; identify long‐term trends in water availability; assist in determination of the quality of the water resources; and develop the basis for an improved ability to forecast the availability of water for future economic, energy production, and environmental uses. This article provides summary and new information on the process and progress on work to estimate water budget components nationwide, involvement of stakeholder interests, efforts to examine water‐use characteristics throughout the Nation, studies of water availability in geographically focused areas and the initiation of methods to provide open access to existing and new water resources information contributing to Open Water Data Initiative (OWDI) efforts and objectives.     

A Multi‐Scale Analysis of Low‐Rise Apartment Water Demand through Integration of Water Consumption,Land Use,and Demographic Data

Over the past decades, multi‐unit housing developments have been vastly expanded across urban areas due to the population growth. To properly supply water to this growing sector, it is essential to understand the determinants of its water use. However, this task has largely remained unexplored through the empirical study of water demand mainly due to the scarcity of data in this sector. This study integrated apartment water consumption, property characteristics, weather, water pricing, and census microdata to overcome this issue. Using a rich source of GIS‐based urban databases in Auckland, New Zealand, the study developed a large dataset containing the information of 18,000 low‐rise apartments to evaluate the determinants of water use both in the household scale and aggregated scale. The household‐scale demand analysis helped to assess the heterogeneity in responses to the demand drivers specifically water price across different consumer groups, whereas the aggregated analysis revealed the determinants behind the spatial variation in water demand at the census area unit level. Through applying panel data models, the study revealed the household size as the most important determinant of apartment water use in Auckland, where other socioeconomic factors, building features, and water pricing were not significant determinants. This knowledge of determinants of water demand can help water planners to better manage water demand in the compact urban environments.     

Using OpenMI and a Model MAP to Integrate WaterML2 and NetCDF Data Sources into Flood Modeling of Genoa,Italy

Extreme hydrometeorological events such as flash floods have caused considerable loss of life and damage to infrastructure over recent years. Flood events in the Mediterranean region between 1990 and 2006 caused over 4,500 fatalities and cost over €29 billion in damage, with Italy one of the worst affected countries. The Distributed Computing Infrastructure for Hydro‐Meteorology (DRIHM) project is a European initiative aiming at providing an open, fully integrated eScience environment for predicting, managing, and mitigating the risks related to such extreme weather phenomena. Incorporating both modeled and observational data sources, it enables seamless access to a set of computing resources with the objective of providing a collection of services for performing experiments with numerical models in meteorology, hydrology, and hydraulics. The purpose of this article is to demonstrate how this flexible modeling architecture has been constructed using a set of standards including the NetCDF and WaterML2 file formats, in‐memory coupling with OpenMI, controlled vocabularies such as CF Standard Names, ISO19139 metadata, and a Model MAP (Metadata, Adaptors, Portability) gateway concept for preparing numerical models for standardized use. Hydraulic results, including the impact to buildings and hazards to people, are given for the use cases of the severe and fatal flash floods, which occurred in Genoa, Italy in November 2011 and October 2014.     

“互联网+”时代的环境风险评估探讨

环境风险评估是环境管理的前提和依据。目前比较成熟的方法分为项目"事先"环评和健康"事后"风险评估。以上两种风险评估方法由于多种原因制约,无法提供给环境管理部门实时在线的环境风险结果。实际上,环境风险评估方法在不断完善中,随着互联网、物联网、云计算、三网融合等IT与通信技术的迅猛发展,环境保护领域也迎来了大数据时代,风险评估也将逐渐步入"互联网+"时代。新型环境风险评估更具系统性,将以数字化的形式体现环境(E)—污染物(M)—人为因素(H)的风险耦合度。虽然数字化环境风险评估在相关风险因子和风险评估方法上仍处于起步阶段,但它是新形势下环境风险管理的一个全新方向,其应用将对环境管理领域产生巨大影响。本文将分析传统环境风险评估与"互联网+"时代的环境风险评估差异,探讨新型数字化环境风险评估需要的支撑硬件与平台,并对数字化环境风险评估的发展趋势与挑战做出展望。