小城镇可持续发展公平性评价的定量探讨

在分析了小城镇可持续发展公平性涵义的基础上,对小城镇可持续发展的公平性评价原则和指标进行了探讨,并针对一小城镇实例,探索性地构筑了小城镇可持续发展公平性评价的定量分析模型,且对应用中应注意的问题进行了说明.     

黑河流域土地退化分类研究

黑河流域位于我国的西北内陆干旱区。人类不合理利用水资源造成的土地退化，已成为黑河流域一个非常严重的生态问题。土地荒漠化是该流域最典型和最严重的土地退化形式。对该流域土地退化的空间分布、特点、退化面积等方面还没有较为详细的研究，因此探讨这个问题就显得非常重要。文章通过最新的遥感影像资料(2000年)，在分析已有的研究成果的基础上，结合野外调查，利用遥感和地理信息系统(GIS)技术，初步分析了黑河流域土地退化的情况。研究结果表明，黑河流域土地退化主要有5种类型，即：水土流失、干旱化、植被退化、盐渍化和沙漠化。土地退化面积达29971．91km^2，占整个流域面积的23．06％；其中，水土流失主要分布在祁连山的南部山区，面积为5747．68km^2，占整个流域土地退化面积的19．18％，主要是由于过度开垦和放牧造成的；由于人类活动的影响，造成水资源在时空上的重新分配而导致的干旱化土地主要分布在山前部分冲、洪积平原的河流沿岸附近，其面积为1369.96km^2，占整个流域土地退化面积的4．57％；盐渍化土地是该流域土地退化的主要类型之一，面积为10591．82km^2，占整个流域土地退化面积的35．34％，分布在流域的低地、冲积扇的边缘等位置，主要是由于干旱的气候条件造成的；沙化土地，包括流动沙丘(地)，是研究区土地退化面积最大的类型，为10771．97km^2，占整个流域土地退化面积的35.94％，这其中也包括历史时期形成的沙漠和现代形成的大部分沙地；植被退化土地面积为1490．48km^2，只占整个流域土地退化面积的4．97％。通过分析可知，黑河流域土地退化严重，特别是在下游地区。人类不合理的经济活动，尤其是对该流域内有限水资源的不合理利用，是导致该地区土地生态系统脆弱的主要因素。     

Occupational Accidents of Finnish-and Swedish-Speaking Workers in Finland: A Mental Model View

This article is based on 2 studies. The aim of the first study was to examine the differences in occupational accident frequency between the 2 main language groups in Finland. Based on 3 independent statistical data sets, it was shown that Swedish-speaking workers had about 40% fewer occupational accidents than Finnish-speaking workers. The aim of the second study was to confirm the difference at company level. A field study in the province of Vaasa with 14 small and medium-sized manufacturing companies revealed that the accident frequency of Swedish-speaking workers was 21% lower than that of Finnish-speaking workers.     

Safety Climate in Finnish- and Swedish-Speaking Companies

The aim of this study was to compare assessments made by Finnish- and Swedish-speaking workers in Finland about the safety climate in their companies, because an earlier study showed that the accident frequency of Swedish-speaking workers was one third lower than that of Finnish-speaking workers. 148 Finnish-speaking and 138 Swedish-speaking workers from 14 small and medium-sized companies participated in this study. They filled out a Finnish safety climate questionnaire, the reliability of which was above the acceptable level. There were no differences between the language groups in the total variables of safety climate and safety action. Based on the differences in single items, we interpreted that Swedish-speaking workers stressed collective safety more, whereas Finnish-speaking workers put more emphasis on their personal responsibility for safety.     

高海拔排土场边坡安全稳定性SBAS-InSAR监测

为解决高海拔排土场边坡安全稳定性监测中常规监测仪器布置和人员值守的高投入、高风险问题,分析西藏山南桑日县某排土场边坡25景Sentinel-1A数据,利用短基线集合成孔径雷达干涉测量(SBAS-InSAR)技术监测终了排土场边坡从2018年11月4日-2020年12月23日期间的地表形变,采用基线估计状态空间模型、自适...     

小型露天采石场爆破作业安全评价方法的探讨

应用安全检查表、事故树、作业条件危险性分析等方法对露天小型采石场爆破作业进行了分析评价,找出了导致爆破作业事故发生的可能因素及可采用的预防途径,为小型露天爆破作业事故的预防提供有益参考.     

超细水雾抑制煤燃烧的模拟实验研究

为了研究超细水雾对煤燃烧的抑制效果,基于小尺寸空间抑制燃烧实验平台,研究了超细水雾对煤燃烧的抑制效果,计算在超细水雾作用下实验空间内部氧气、二氧化碳、一氧化碳体积分数的变化情况以及燃烧空间内不同部位的温度变化情况,并且与煤自由燃烧的情况做对比。研究表明超细水雾对煤燃烧的火灾发展过程有很好的抑制作用。研究结论对超细水雾应用于熄灭矿井煤炭火灾具有一定的指导意义     

改善太仓城区水环境原型调水实验研究及模型建立

为达到改善太仓城区水环境的目的,于2004年4月21日进行了调水实验.调水历时14 h,期间向城区调水21.8万m3.通过对监测点采样,得到水量、水质实测数据.根据实验数据,建立了符合太仓河网的水量水质数学模型,分析了从长江引水对太仓城区水环境的改善程度.同时对不同引水方案情况下城区水环境改善效果,以及截污和清淤对水环境的影响做了分析.研究表明,引水只能短期改善水环境;要根治水环境,必须从源头抓起,进行截污.     

宜兴煤矿安全经济护巷煤柱宽度的研究确定

为节省资源,留最窄护巷煤柱,在借用FLAC3D模拟软件掌握不同护巷煤柱宽度下巷道围岩应力应变后,结合模拟的结果和实验室试验新材料GRT-201加固后的煤岩体强度指标,最终确定煤柱留设宽度为2m,较正常煤柱宽度留设减小了20多米.现场操作后巷道的变形率控制在5％以内,大大降低留设煤柱宽度的同时保证了工作面的正常接替和安全回采.     

Assessment of deep aquifer groundwater quality in a geographically unique climatic region of Southern Western Ghats,India using water quality indices

Water quality index (WQI) models are generally used in hydrochemical studies to simplify complex data into single values to reflect the overall quality. In this study, deep groundwater quality in the Chittur and Palakkad Taluks of the Bharathapuzha river basin of Kerala, India, was assessed by employing the WQI method developed by the Canadian Council of Ministers of the Environment (CCME). The assessment of overall water quality is indispensable due to the specific characteristics of the study area, such as geography, climate, over-drafting, and prevalent agricultural practices. Forty representative samples were collected from the study area for monsoon (MON) and pre-monsoon (PRM) seasons. The results showed a general increase of contents from MON to PRM. The major cations were spread in the order Ca²⁺>Na+>Mg²⁺>K⁺ and the anions HCO₃⁻>Cl⁻>CO₃²⁻ based on their relative abundance. Among various parameters analysed, alkalinity and bicarbonate levels during MON were comparatively high, which is indicative of carbonate weathering, and 90% of the samples failed to meet the World Health Organization (WHO, 2017)/Bureau of Indian Standards (BIS, 2012) drinking water guidelines. The CCME WQI analysis revealed that nearly 50% of the samples during each season represented good and excellent categories. The samples in the poor category comprised 10% in MON and 15% in PRM. The overall WQI exhibited 15% of poor category samples as well. The spatial depiction of CCME WQI classes helped to expose zones of degraded quality in the centre to eastward parts. The spatial and temporal variations of CCME WQI classes and different physicochemical attributes indicated the influence of common factors attributing to the deep groundwater quality. The study also revealed inland salinity at Kolluparamba and Peruvamba stations, where agricultural activities were rampant with poor surface water irrigation.