"We all knew that a cyclone was coming": disaster preparedness and the cyclone of 1999 in Orissa, India

Imagine that a cyclone is coming, but that those living in the affected areas do nothing or too little to protect themselves. This is precisely what happened in the coastal state of Orissa, India. Individuals and communities living in regions where natural hazards are a part of daily life develop strategies to cope with and adapt to the impacts of extreme events. In October 1999, a cyclone killed 10,000 people according to government statistics, however, the unofficial death toll is much higher. This article examines why such a large loss of life occurred and looks at measures taken since then to initiate comprehensive disaster-preparedness programmes and to construct more cyclone shelters. The role of both governmental organisations and NGOs in this is critically analysed. The good news is that, based on an assessment of disaster preparedness during a small cyclone in November 2002, it can be seen that at community-level awareness was high and that many of the lessons learnt in 1999 were put into practice. Less positive, however, is the finding that at the state level collaboration continues to be problematic.     

城市“屋顶花园”对城市气候影响方法研究

:随着社会经济的迅猛发展 ,我国城市数量不断增多 ,城市规模不断扩大 ,随之带来的是城市环境不断恶化。如何改变这种状况 ,使城市规模和环境协调发展 ,是摆在科技工作者面前的紧迫任务。理论分析和实际观测资料表明 ,城市平顶屋面绿化是改善城市气候的最有效的途径之一 ,它对由于城市而产生的“五岛”效应均有不同程度的消弱或改善作用。通过关于城市屋面绿化对城市气候影响过程的分析 ,阐明了城市屋面绿化对城市气候影响的特征 ,并从理论上着重提出用移植法和数值模拟法来研究其影响的程度 ,最后提出了理想城市环境应具有的特征 ,并呼吁城市建设部门成立专门的机构以全面负责平顶屋面的绿化     

基于动态贝叶斯网络的石化装置火灾事故动态风险分析

为揭示石油炼化装置事故风险动态特性和事故情景演变路径,在对石化装置进行风险因素分析的基础上构建石化装置火灾事故故障树,基于贝叶斯网络非常规突发事故的演变过程,构建情景演变下的动态贝叶斯网络模型,在综合考虑应急措施的基础上,利用MATLAB软件和联合概率公式计算出各种事故场景的状态概率.以丙烯精馏装置火灾事故为例,结果表...     

中国气候变化影响研究概况

介绍了目前我国在未来气候变化影响研究方面的概况,气候影响研究采用的方法多为政府间气候变化专业委员会(IPCC)第二工作组提出的气候变化影响评价方法。未来气候变化影响研究是在大气中C0₂浓度加倍,或气温、降水变化的情景下,进行未来农业、林业、水资源、生态环境以及海平面上升等方面的潜在影响研究,其中有模型研究、实验室研究、宏观研究和适应对策研究等。这些研究采用的未来气候情景多为GCM模型预测的气候情景。      

Safety climate, attitudes and risk perception in Norsk Hydro

The aims of this paper are to test mental images of risk and to present some results of a survey of safety climate, employee attitudes, risk perception and behaviour among employees within the industrial company Norsk Hydro. Two mental images were tested. They are both based on the assumption that it is possible to make a distinction between cognitive and affective processes involved in risk perception. The first model was the ‘rationalistic’ approach, which assumes that the affective component of risk perception is influenced by cognitive judgements. The justification for the second model is found in Zajonc's [Zajonc, R.B., 1980. Feeling and thinking. Preferences need no inferences. American Psychologist 35 (2), 151–175] conclusion that emotions are precognitive. In this model, entitled the ‘mental imagery’ approach, emotion is seen as the driving force affecting cognition of risk and safety. Employees at 13 plants have answered a self-completion questionnaire. The plants belonged to the agricultural, aluminium, magnesium and petrochemical divisions within Norsk Hydro. A total of 731 respondents replied to the questionnaire. The mental imagery approach was somewhat better fitted to the data than a rationalistic approach. Safety climate and employee attitudes towards safety and accident prevention contributed significantly to the variance in employee occupational risk behaviour. Worry and the extent to which the employee felt safe/unsafe was the most important predictor for the cognitive judgement of risk. Acceptability of rule violations seemed to be the most important predictor of behaviour, probably because acceptability also affected how often the respondents took chances and broke safety rules.     

The impact of organizational climate on safety climate and individual behavior

Relatively little previous research has investigated the meechanisms by which safety climate affects safety behavior. The current study examined the effects of general organizational climate on safety climate and safety performance. As expected, general organizational climate exerted a significant impact on safety climate, and safety climate in turn was related to self-reports of compliance with safety regulations and procedures as well as participation in safety-related activities within the workplace. The effect of general organizational climate on safety performance was mediated by safety climate, while the effect of safety climate on safety performance was partially mediated by safety knowledge and motivation.     

北太平洋地区沙尘沉降与海洋生物兴衰的关系

通过对2001年4月中亚强沙尘暴过程在中国、韩国、日本和北美大陆地面PM10观测结果进行统计分析,推算出了北太平洋PAPA地区的沙尘沉降通量,结合同期PAPA地区的海洋表层有机碳和叶绿素观测结果,探讨了北太平洋沙尘与海洋生物兴衰的关系.结果表明,本次强沙尘暴过程可以给PAPA地区带去大约3.1～5.8μg/m³的风成Fe元素,它激发了海洋生物泵,引起海洋浮游植物的快速繁盛.     

MESOSCALE ATMOSPHERIC 2XCO2 CLIMATE CHANGE SIMULATION APPLIED TO AN OREGON WATERSHED1

ABSTRACT: A 2xCO2 climate and runoff in the Upper Deschutes Basin in central Oregon is simulated using a mesoscale atmospheric model and a watershed model that incorporates spatial variability of the runoff process. A nine‐year control climate monthly time series provides a benchmark for assessing changes related to a warmer and wetter 2xCO2 climate. Potential evapotranspiration is increased by 23 percent and snow water equivalent is reduced by 59 percent in the 2xCO2 climate. Annual runoff increases by 23 percent, while November runoff increases by 55 percent. The average maximum monthly runoff is in May for both the control climate and 2xCO2 climate, but in five of the nine years the monthly maximum runoff for the 2xCO2 climate occurs two to five months earlier than for the control climate. The minimum runoff month is one to five months earlier in the 2xCO2 climate in seven of the nine years, and the month of average minimum runoff is March in the control climate and November in the 2xCO2 climate. Since precipitation is greatest in December in both the control climate and 2xCO2 climate, the earlier maximum and minimum runoff for a 2xCO2 climate indicates greater watershed sensitivity to temperature than to precipitation.     

CLIMATE CHANGE IMPACTS ON WATER RESOURCES OF THE TSENGWEN CREEK WATERSHED IN TAIWAN1

ABSTRACT: This study presents a methodology to evaluate the vulnerability of water resources in the Tsengwen creek watershed, Taiwan. Tsengwen reservoir, located in the Tsengwen creek watershed, is a multipurpose reservoir with a primary function to supply water for the ChiaNan Irrigation District. A simulation procedure was developed to evaluate the impacts of climate change on the water resources system. The simulation procedure includes a streamflow model, a weather generation model, a sequent peak algorithm, and a risk assessment process. Three climate change scenarios were constructed based on the predictions of three General Circulation Models (CCCM, GFDL, and GISS). The impacts of climate change on streamflows were simulated, and, for each climate change scenario, the agricultural water demand was adjusted based on the change of potential evapotranspiration. Simulation results indicated that the climate change may increase the annual and seasonal streamflows in the Tsengwen creek watershed. The increase in streamflows during wet periods may result in serious flooding. In addition, despite the increase in streamflows, the risk of water deficit may still increase from between 4 and 7 percent to between 7 and 13 percent due to higher agricultural water demand. The simulation results suggest that the reservoir capacity may need to be expanded. In response to the climate change, four strategies are suggested: (1) strengthen flood mitigation measures, (2) enhance drought protection strategies, (3) develop new water resources technology, and (4) educate the public.     

CLIGEN生成干旱半干旱地区降水相关参数的验证

选用黄河上中游地区无定河流域为中心的15个气象站1959~1999年的降水日值资料,对随机天气发生器CLIGEN在干旱半干旱地区再现降水的能力进行了验证。结果表明:CLIGEN模型较好地模拟了该区域的降水发生概率;很好地再现了年、月、日降水总量平均值,平均相对偏差分别为2.4%、2.4%和2.1%;CLIGEN再现了96.4%的日降水变率、95.9%的月降水变率和84.1%的年降水变率。对年降水变率估计稍差,表明CLIGEN在模拟降水变率方面还有改进的必要。从降水极值看,年降水最大值的平均相对偏差为11.1%,偏差最大的是干旱区的临河站（39.1%）;年降水最小值的平均相对偏差为20.5%,偏差最大的是临河站（-30.7%）;月最大降水量除两站稍低外,其它站平均偏高20.2%;日降水最大值除临河站偏低3.4%外,其余各站平均偏高43.2%。总体上讲,CLIGEN在干旱地区的模拟能力比在半干旱区稍差。鉴于CLI-GEN模拟的极大值绝大部分都偏高,因此利用CLIGEN模型生成的降水资料运行径流和土壤侵蚀模型有高估径流量和土壤侵蚀量的可能,需要进一步利用自计雨量计的资料对CLIGEN生成次降水的参数进行验证,以确保径流和土壤侵蚀预测的精度。