生态区划的原则及其特征

由于社会经济的发展和人口的急剧增加,使得全球和区域性的生态环境问题日益尖锐,从而严重地阻碍了经济的进一步发展。如何协调发展与环境保护之间的矛盾,维护区域经济的可持续发展,是当前亟待解决的问题。这就要求对区域生态环境问题的形成机制及其演变规律进行细致地研究,进而划分不同的区域,提出生态环境的整治方案,这正是生态区划的研究内容。本文对生态区划的目的、原则和依据、划分的指标体系、生态区划的要素及特征进行了详细的论述,同时指出在我国经济发展的今天进行生态区划的必要性和迫切性。     

基于STAMP-ISM的铁路危险品运输系统风险-事故分析方法*

为预防铁路危险品运输系统事故的发生,采用STAMP-ISM模型分析铁路危险品运输系统风险-事故。首先,利用STAMP模型详细分析事故,得到控制结构的相关安全约束、不充分控制行为及产生原因,以及系统的安全动态变化;其次,采用ISM分析事故致因因素之间的关联关系并划分层级;最后,基于STAMP和ISM分析结果提出系统改进方案。以我国一起匿名夹带事故为背景进行案例研究,结果表明,ISM模型的加入可深入挖掘事故因素间的相互关系,为事故致因因素重要度划分层级,分析结果及建议更具针对性。     

Identification of Priority Areas for Integrated Management of Semiarid Watersheds in the Ecuadorian Andes

Integrated watershed management (IWM) is a priority, especially in semiarid regions that are concurrently affected by population growth, land use change, soil erosion, and poor governance. In developing countries, IWM is often done without any support tool, scientific data, or deep knowledge of territory characteristics. The aim of this study was to present a case study to apply a decision support tool to prioritize areas for territory management. A simple, quantitative multi‐criteria analysis was applied in a semiarid basin of the Ecuadorian Andes to identify the zones of greatest concern for implementation of resource conservation and management practices at a local and regional scale. In addition to describing the current state of the conditions of this basin, our results suggest scenarios of change in relation to official population projections based on spatial analysis of land use change. Analysis resulted in a scattered distribution of priority values within the watershed, so a hierarchical rule was incorporated to define priorities at the subwatershed (SW) scale. Our analysis identified four SW of very high priority and urgent need to implement management practices. Based on projections of future change due to population growth and land cover change, the number of subbasins that require more attention was doubled. Finally, this study includes zones for management or conservation of the land, according to the Sustainable Development Goals.     

Adoption and economic impacts of laser land leveling in the irrigated rice-wheat system in Haryana,India using endogenous switching regression

This study assesses the factors affecting the adoption of laser land leveling (LLL) and its impact on crop yields and net returns. It uses household survey data collected from 621 randomly selected farmers in Karnal District of Haryana, India, and applies endogenous switching regression models. Unbiased model results show that the adoption of LLL has significant positive impacts on yields (rice +549 kg ha⁻¹; wheat +471 kg ha⁻¹) and net returns (an aggregate increase of US$230/ha) in the rice-wheat production system, thereby raising farmers' income substantially. Our results show that LLL adoption at the farm level is influenced by land size and quality, tenure system, availability of farm machinery (tractor), access to finance and farm cooperatives, gender of household head, level of education and training and access to extension services. Therefore, LLL scaling strategies need to consider these bio-physical and socio-economic parameters to reach adoption at scale and generate large social, economic, and environmental benefits.     

A conceptual framework to understand the role of built environment on traffic safety

IntroductionMany U.S. cities have adopted the Vision Zero strategy with the specific goal of eliminating traffic-related deaths and injuries. To achieve this ambitious goal, safety professionals have increasingly called for the development of a safe systems approach to traffic safety. This approach calls for examining the macrolevel risk factors that may lead road users to engage in errors that result in crashes. This study explores the relationship between built environment variables and crash frequency, paying specific attention to the environmental mediating factors, such as traffic exposure, traffic conflicts, and network-level speed characteristics. Methods: Three years (2011–2013) of crash data from Mecklenburg County, North Carolina, were used to model crash frequency on surface streets as a function of built environment variables at the census block group level. Separate models were developed for total and KAB crashes (i.e., crashes resulting in fatalities (K), incapacitating injuries (A), or non-incapacitating injuries (B)) using the conditional autoregressive modeling approach to account for unobserved heterogeneity and spatial autocorrelation present in data. Results: Built environment variables that are found to have positive associations with both total and KAB crash frequencies include population, vehicle miles traveled, big box stores, intersections, and bus stops. On the other hand, the number of total and KAB crashes tend to be lower in census block groups with a higher proportion of two-lane roads and a higher proportion of roads with posted speed limits of 35 mph or less. Conclusions: This study demonstrates the plausible mechanism of how the built environment influences traffic safety. The variables found to be significant are all policy-relevant variables that can be manipulated to improve traffic safety. Practical Applications: The study findings will shape transportation planning and policy level decisions in designing the built environment for safer travels.     

浮游动物物种构成对于淡水测试系统抗农药胁迫能力的影响

多物种系统在农药生态效应的评估中不可或缺,有必要探索系统的建立和应用,为此笔者构建了包含隆线溞(Daphnia carinata)、中华薄壳介(Dolerocypris sinensis)和锯缘真剑水蚤(Eucyclops serrulatus) 3种节肢动物当中的1种或全部,以及包含萼花臂尾轮虫(Brachionus calyciflorus)、小球藻(Chlorella vulgaris)和轮叶黑藻(Hydrilla verticillata)的4组多物种系统。它们被用来测量杀虫剂毒死蜱的群落效应。研究结果显示,包含3种节肢动物的测试系统比只包含1种的系统中群落结构更稳定,更能够揭示杀虫剂对轮虫的诱导效应,其对杀虫剂也更敏感。毒死蜱在该系统内的最高无作用浓度(NOEC)和最低有效浓度(LOEC)分别为0.25和1.25μg·L~(-1)。本研究所构建的是一类总氮、总磷和浊度水平趋于下降的测试系统。杀虫剂的引入促进了系统内p H、铵态氮和电导率水平的上升以及总氮、总磷和浊度水平的下降。从LOEC的数值及持续时间上看,游离态壳二糖酶可以被用来指示农药对浮游动物的胁迫。本研究的结果显示,包含3种节肢动物的测试系统能够更准确地衡量农药对浮游动物的生态胁迫。     

An inexact optimization approach for river water-quality management

A previously developed fuzzy waste load allocation model (FWLAM) for a river system is extended to address uncertainty involved in fixing the membership functions for the fuzzy goals of the pollution control agency (PCA) and the dischargers using the concept of grey systems. The model provides flexibility for the PCA and the dischargers to specify their goals independently, as the parameters for membership functions are considered as interval grey numbers instead of deterministic real numbers. An inexact or a grey fuzzy optimization model is developed in a multiobjective framework, to maximize the width of the interval valued fractional removal levels for providing latitude in decision-making and to minimize the width of the goal fulfillment level for reducing the system uncertainty. The concept of an acceptability index for order relation between two partially or fully overlapping intervals is used to get a deterministic equivalent of the grey fuzzy optimization model developed. The improvement of the optimal solutions over a previously developed grey fuzzy waste load allocation model (GFWLAM) is shown through an application to a hypothetical river system. The fuzzy multiobjective optimization and fuzzy goal programming techniques are used to solve the deterministic equivalent of the GFWLAM.     

Environmental Security: A Geographic Information System Analysis Approach—The Case of Kenya

Studies into the relationships between environmental factors and violence or conflicts constitute a very debated research field called environmental security. Several authors think that environmental scarcity, which is scarcity of renewable resources, can contribute to generate violence or social unrest, particularly within states scarcely endowed with technical know-how and social structures, such as developing countries. In this work, we referred to the theoretical model developed by the Environmental Change and Acute Conflict Project. Our goal was to use easily available spatial databases to map the various sources of environmental scarcity through geographic information systems, in order to locate the areas apparently most at risk of suffering negative social effects and their consequences in terms of internal security. The analysis was carried out at a subnational level and applied to the case of Kenya. A first phase of the work included a careful selection of databases relative to renewable resources. Spatial operations among these data allowed us to obtain new information on the availability of renewable resources (cropland, forests, water), on the present and foreseen demographic pressure, as well as on the social and technical ingenuity. The results made it possible to identify areas suffering from scarcity of one or more renewable resources, indicating different levels of gravity. Accounts from Kenya seem to confirm our results, reporting clashes between tribal groups over the access to scarce resources in areas that our work showed to be at high risk.     

2008年北京市大气质量的灰色预测

运用灰色关联分析方法对北京市大气主要污染物质进行了分析,得出PM10、TSP和SO2是主要污染因子。在此基础上,运用灰色系统理论建模方法,分别建立主要污染因子的预测模型。运用该模型预测出到2008年北京市的TSP和PM10仍不能达到国家二级标准。在今后几年内降低颗粒物的污染是北京市大气污染控制工作的首要任务。     

基于GIS的珠三角区域空气质量实况发布平台介绍

地理信息系统是在计算机软件和硬件支持下,对整个或者部分地球表层空间中的各类地理信息数据进行采集、存储、管理、运算、分析、显示和描述的技术系统。根据中国发布的环境空气质量新标准,提出了基于地理信息系统的区域空气质量实况发布平台的总体设计思路,介绍了这一平台的开发与运行环境、主要功能模块设计和实现方法。该平台已成功应用于珠江三角洲区域。通过广东省环境保护公众网信息平台,实时更新各个站点最新的空气监测数据,为广东开展环境整治工作以及居民日常出行提供参考。