旱灾风险定量评估总体框架及其关键技术

作为旱灾风险管理的核心内容和关键环节,旱灾风险评估逐渐成为旱灾研究的热点问题。从科学界定旱灾风险概念入手,辨析了干旱风险与旱灾风险之间的关系,并从机理上对旱灾风险形成机制进行了剖析和阐述;首次提出了旱灾风险定量评估总体框架,即通过建立干旱频率~潜在损失~抗旱能力之间的定量关系实现对旱灾风险的定量评估,并探讨了该评估框架所涉及的干旱频率分析技术、灾损评估技术、抗旱能力评估技术和旱灾风险表征技术等关键技术及其难点。     

灌区干旱风险评估模型研究

根据风险理论,建立了包括农业干旱发生概率、抗旱能力、受灾体种植面积比等多因子的灌区农业干旱风险评估模型。并将相对产量作为灌区农业干旱评估指标,能够反映土壤 作物 大气系统中水分运动对农业生产的影响,利用该指标结合干旱风险评估模型对灌区农业干旱进行风险评估,分析出灌区各种作物对干旱风险度影响最大的生育阶段和风险度最高的农作物,以便灌区制定合理的抗旱方案以减小灌区干旱损失。     

Dynamic risk assessment of drought disaster for maize based on integrating multi-sources data in the region of the northwest of Liaoning Province, China

The traditional studies on drought disaster risk were based on the ground point data, which were unable to realize the continuity of space and the timeliness. It is shown that the monitoring and evaluation precision on drought were reduced significantly. However, remote sensing data in adequate spatial and temporal resolution can overcome these limitations. It can better monitor the crop in large area dynamically. This study presents a methodology for dynamic risk analysis and assessment of drought disaster to maize production in the northwest of Liaoning Province based on remote sensing data and GIS from the viewpoints of climatology, geography and disaster science. The model of dynamic risk assessment of drought disaster was established based on risk formation theory of natural disaster, and the expression of risk by integrating data came from sky, ground and space. The risk indexes were divided into four classes by data mining method, and the grade maps of drought disaster risk were drawn by GIS. It is shown that the spatial and temporal risk distributions of maize at each growth stage changed over time. The model has been verified against reduction in maize yield caused by drought. It demonstrated the reasonability, feasibility and reliability of the model and the methodology. The dynamic risk assessment of regional drought disaster for maize can be used as a tool, which can timely monitor the status (the possibility and extent of drought) and trends of regional drought disaster. The results obtained in this study can provide the latest information of regional drought disaster and the decision-making basis of disaster prevention and mitigation for government management and farmers.     

中国北方地区几种农业气象灾害指标研究综述

针对我国北方地区常见的几种农业气象灾害:干旱、低温冷害、霜冻和干热风,对其各类指标进行了归纳和描述。干旱指标是从监测、防御、经济损失评估、社会经济发展水平和科技进步5个方面来分别描述;冷害指标就目前常见的几类进行了简要介绍;霜冻指标多针对不同作物给出具体判别标准;干热风指标从气象、判别、危害和防御4个方面进行了描述。总结了不同指标的优缺点,同时也对这些灾害指标目前存在的问题和今后改进的方向提出了看法,为形成北方地区农业气象灾害指标体系奠定基础,同时为今后该地区各类农业气象灾害的监测、评估及防灾减灾工作提供参考与支撑。     

Integrated risk zoning of drought and waterlogging disasters based on fuzzy comprehensive evaluation in Anhui Province,China

This study presents a methodology for risk analysis, assessment, combination, and regionalization of integrated drought and waterlogging disasters in Anhui Province, which is supported by geographical information systems (GIS) and technique of natural disaster risk assessment from the viewpoints of climatology, geography, disaster science, environmental science, and so on. Along with the global warming, the occurrences of water-related disasters become more frequent and serious. It is necessary to determine the mode of spatial distribution of water-related disaster risk. Based on the principle of natural disaster risk, natural conditions, and socioeconomic situation, drought and waterlogging disaster risk index, which combined hazard, exposure, vulnerability, and restorability, was developed by using combined weights, entropy, and fuzzy comprehensive evaluation method. Drought and waterlogging disaster risk zoning map was made out by using GIS spatial analysis technique and gridding GIS technique. It was used for comparing the relative risk of economic and life losses in different grids of Anhui Province. It can also be used to compare the situation of different levels of drought and waterlogging disaster combination risk in a similar place. The result shows that the northwestern and central parts of Anhui Province possess higher risk, while the southwestern and northeastern parts possess lower risk. The information obtained from statistical offices and remote sensing data in relation to results compiled were statistically evaluated. The results obtained from this study are specifically intended to support local and national governmental agencies on water-related disaster management.     

Agricultural drought risk analysis based on three main crops in prefecture-level cities in the monsoon region of east China

Drought, a frequent environmental disaster in the monsoon region of east China, significantly affects the agricultural economy. In recent years, researchers have emphasised drought risk management. This paper presents a preliminary method to analyse the risk of agricultural drought with regard to the loss of three main crops in individual prefecture-level cities in the monsoon region of east China. In this study, the agricultural drought risk is assessed by developing the index of consecutive rainless days and establishing loss rate curves based on the historical drought data from 1995 to 2008. The results show that the North China is seriously affected by drought hazard. Northeast China is the most sensitive to drought due to its large sown crop areas and weak irrigation. Approximately 11 % of the cities are in the extreme risk category; this category includes 26 % of the cultivated land area and 11 % of the total crop yields in the region. Twenty-three per cent of the cities, accounting for 28.5 % of the total cultivated land area and 26.4 % of the crop yields of the study area, are in high-risk areas, and 77 % of the cities with high and extreme risk levels are distributed in North and Northeast China. Moreover, 64 % of the cities in the monsoon region of East China are in moderate- and low-risk levels. These cities are primarily located south of the Yangtze River. In conclusion, minimising the risk of agricultural drought must be emphasised in northern China because of the high level of risk.     

淮河流域旱涝灾害致灾气候阈值

采用淮河流域内1959—2008年110个气象站的逐日降水资料,结合流域1978—2008年农作物旱涝灾害受灾面积数据,基于降水致灾因子与农作物承灾体受损程度等研究,提出旱、涝致灾气候阈值概念,在此基础上分析旱涝灾害发生的时空特征,确定淮河流域合理的旱涝致灾气候阈值区间并建立致灾气候阈值与农作物受灾面积之间的定量关系。结果表明:① 致灾气候阈值可通过计算发生旱涝事件时间段累积降水量除以1959—2008年相应时段累积降水量的平均值来定义,得到的旱、涝致灾气候阈值在不同尺度下对旱、涝灾害事件均有较好地稳定反映,可满足研究区旱、涝事件分析需求;② 洪涝致灾气候阈值与农作物受灾面积存在一致的变化趋势,而干旱致灾气候阈值与农作物受灾面积相关系数高达0.96,构建了基于干旱致灾气候阈值的农作物受灾面积预测模型。     

Assessment of tectonic-controlled rock fall processes threatening the ancient Appia route at the Aurunci Mountain pass (central Italy)

The Ningxia Hui Autonomous Region of China (Ningxia), one of main agriculture areas in northwest China, has been severely affected by drought. Based on observed meteorological data, outputs of 20 global climate models and drought disaster data, future climate change and relevant drought hazard in the twenty-first century were projected in Ningxia, with the scenarios of RCP2.6 and RCP4.5; the risks of people, crop, and agriculture economy to drought disasters are quantitatively assessed, with the application of physical vulnerability curve models, probability distribution functions and Monte Carlo simulation method. It is found that the climate in Ningxia is likely to have a warming and wetting tendency in the twenty-first century. The extent of drought hazard is likely to increase. The increase rate is greater under RCP4.5 than that under RCP2.6. In general, the risks of population, crop, and agriculture to drought disasters are likely to increase in Ningxia in the twenty-first century. The magnitude of increase is likely to reach the greatest in the immediate term (2016–2035), followed by the increase in the medium term (2046–2065), and the long term (2081–2100). In comparison with RCP2.6, the drought disaster risks under the scenario of RCP4.5 are likely to increase further in three periods of the twenty-first century. The findings of this work have potential to provide data support for drought disaster risk management and support risk-based decision-making.

     

青海省气象干旱对粮食产量的影响及其评估方法研究

气象干旱是青海省发生最为频繁的气象灾害之一, 具有出现频率高、 持续时间长、 影响范围广等特点, 对农业生产造成极大的影响, 严重的干旱少雨之年常使农业大幅度减产, 甚至绝收. 为了研究气象干旱对青海省粮食产量产生的影响, 根据拉格朗日插值方法给出了青海省无干旱时"期望产量"的确定方法, 并据此求算出历年干旱对青海省粮食产量的损失量值, 然后依据农作物不同生育期所发生的干旱的强度、 范围以及作物对干旱的敏感度等关系, 建立了干旱损失量的统计和评估模式. 在2006-2010年青海省粮食产量评估中进行应用, 5 a中有4 a误差小于5%, 仅2006年误差百分率达到-9.38%; 由此, 证明了运用干旱损失评估方法, 可以评估出干旱对粮食产量的损失量, 从而评估出青海省的实际粮食产量, 效果较好, 可以在青海省今后的粮食产量预报和评估中推广应用.     

农业干旱灾害风险模糊集对评价法及其应用

开展农业干旱灾害风险评估,有利于定量认识农业旱灾和科学指导防旱抗旱工作。基于集对分析原理和模糊理论建立的模糊集对评价法,兼顾了信息的多尺度特征和评价等级的模糊性,概念清晰,计算简洁。构建了由旱灾危险性子系统、旱灾暴露性子系统、灾损敏感性子系统和抗旱能力子系统组成的干旱灾害风险评估体系和评价指标。将模糊集对评价法应用于2012年安徽省亳州市农业干旱灾害风险评估,研究结果表明,建议方法是可靠的,为农业干旱灾害风险评估提供了一种新途径。     

Risk analysis and influencing factors of drought and flood disasters in China

The risk analysis of flood and drought disasters and the study of their influencing factors enhance our understanding of the temporal and spatial variation law of disasters and help identify the main factors affecting disasters. This paper uses the provincial administrative region of China as the research area. The proportion of the disaster area represents the degree of the disaster. The statistical distribution of the proportions was optimized from 10 alternative distributions based on a KS test, and the disaster risk was analyzed. Thirty-five indicators were selected from nature, agriculture and the social economy as alternative factors. The main factors affecting flood and drought disasters were selected by Pearson, Spearman and Kendall correlation coefficient test. The results demonstrated that the distribution of floods and drought is right-skewed, and the gamma distribution is the best statistical distribution for fitting disasters. In terms of time, the risk of flood and drought disasters in all regions showed a downward trend. Economic development and the enhancement of the ability to resist disasters were the main reasons for the change in disasters. Spatially, the areas with high drought risk were mainly distributed in Northeast and North China, and the areas with high flood risk were mainly distributed in the south, especially in Hubei, Hunan, Jiangxi and Anhui. The distribution of floods and drought disasters was consistent with the distribution characteristics of precipitation and water resources in China. Among the natural factors, precipitation was the main factor causing changes in floods and drought disasters. Among the agricultural and socioeconomic factors, the indicators reflecting the disaster resistance ability and regional economic development level were closely related to flood and drought disasters. The research results have reference significance for disaster classification, disaster formation mechanisms and flood and drought resistance.

     

基于数值模拟的城镇地质灾害危险性评价方法

定量计算城镇尺度地质灾害不同降雨强度下的危险性是地质灾害风险评价中的难点。以红层地区群发性浅层滑坡链式灾害为研究对象,探索一种新的城镇尺度下的地质灾害危险性量化评价方法,为城镇地质灾害风险评价奠定基础。通过查询喜德县米市河区域不同降雨频率下降雨参数,统计分析国家雨量站数据及近50 a的18场群发性地质灾害降雨历时、雨型分布特征。以土层厚度、植被覆盖度及地形数据处理为基础,基于STEM TRAMM数值计算方法及降雨分布曲线计算城镇地质灾害危险性,绘制研究区地质灾害危险性评价图。通过遥感解译数据、地面调查数据及灾害数据库数据与数值计算结果对比,表明应用降雨特征统计及STEM TRAMM数值计算方法精细化评价红层地区城镇地质灾害危险性具有良好的适应性、便捷性及科学性,可为其他不同孕灾背景下的城镇地质灾害危险性评价提供思路。     

Spatio-temporal distributions of climate disasters and the response of wheat yields in China from 1983 to 2008

Climate disasters are now on the rise and more likely to increase in frequency and/or severity under climate change in the future. To clearly illustrate spatial–temporal distributions of climate disasters and the response of wheat yields to disasters over the past three decades, several disaster indices including the impact of climate disasters, the sensitivity to climate disasters and the response index of wheat yield losses to climate disasters were defined and calculated. The impact and sensitivity indices were examined by the agricultural production losses due to climate disasters, and the response of wheat yields to climate disasters was assessed by wheat yield loss compared with the 5-year moving average. The results showed that the indices of climate disaster impacts and sensitivities as well as response index of wheat yields to climate disasters could represent the spatial–temporal distributions of climate disasters well in the whole China. Droughts in northern China had higher impacts and sensitivities than those in southern China during the period 1983–2008, but the impacts of floods were opposite. In northern China, although impacted area by drought was larger than that by flood, the flood sensitivities were larger than drought sensitivities when flood happened. Although drought significantly affected wheat yields in most of the regions with drier conditions during 1983–2008 in major wheat-producing regions, better management practices like irrigation and drought-tolerant cultivars applied in the Huang-Huai-Hai Plain can adapt to climate disasters especially droughts. To ensure the stability of agricultural production, future food security will need to be achieved through quantifying the relative effects of climate disasters and effective adaptation to increasingly frequent extreme climate events.     

Fine assessment of tropical cyclone disasters based on GIS and SVM in Zhejiang Province, China

Tropical cyclones represent major natural disasters in low- and mid-latitude coastal areas. Effective assessment of tropical cyclone disasters provides a scientific reference for the formulation of tropical cyclone prevention and disaster-relief measures. Tropical cyclone disasters in Zhejiang Province are mainly studied based on GIS technology, by considering disaster-causing factors, disaster-affected bodies, the disaster-formative environment, and spatial distribution of disaster prevention and relief capacity. In light of an uncertain nonlinear relationship between assessment factors and disaster factors, we used support vector machines to establish a fine, quantitative assessment model. This model evaluates the following disaster indices: Disaster-affected population, direct economic loss, affected crop area, and number of damaged houses resulting from a tropical cyclone disaster in Zhejiang, with the county as basic assessment unit. Assessment of tropical cyclone No. 0908 shows that the developed assessment model is able to accurately evaluate the geographical distribution of losses caused by a tropical cyclone.     

青海省春小麦干旱灾害风险评估与区划

基于青海省1961-2010年47个气象站和8个农气代表站气象资料、 干旱灾情资料的收集和整理, 分析了春小麦生育期土壤相对湿度与降水距平百分率的关系, 确定了青海省春小麦不同生育期干旱风险评估的实际阈值, 并对青海省春小麦不同生育期干旱进行风险区划.结果表明: 在青海省春小麦营养期, 轻旱易发生在祁连山地区、 青海湖地区西南部及东部农业区的少数地区, 轻旱的频率大都在15%以上; 中旱易发生在柴达木地区大部及东部农业区大部, 频率大都在10%以上; 重旱和特旱出现频率均在柴达木盆地西部较高, 频率分别为10.7%、 34%以上.生殖期的轻旱易发生在祁连山地区, 频率在15.3%~23.3%之间; 中旱易发生在青海湖地区南部及东部农业区少数地区, 频率大都在4.0%~5.7%之间; 重旱频率从东南部到西北呈现带状递减趋势, 频率最高的主要发生在东部农业区, 出现频率为8.3%~9.6%; 特旱易发生在柴达木盆地地区, 出现频率为27%~44.3%之间.产量形成期的轻旱、 中旱、 重旱均易发生在东部农业区, 频率分别为2.3%~3.3%、 8.7%~13.3%、 6.0%~9.0%之间, 特旱易发生在柴达木地区, 出现频率为43.3%~51.3%之间.     

青海省东部农业区雷电灾害风险评估

利用2005-2013年青海省东部农业区14个县的雷电、雷电灾害、人口数量和生产总值等资料,采用《雷电灾害风险评估技术规范》（DB 50/214-2006）中的雷电灾害易损性风险评估指标,分析了该地的雷电灾害风险及区划,该风险区划对青海省东北农业区防御雷电灾害规划具有很好的参考价值,也是制定科学合理的雷电防护技术路线的重要依据：青海省东部农业区9年间共出现雷电3 801 d,最早出现在3月下旬,最晚结束在11月上旬,雷电出现最多地区为大通县;雷电灾害共出现47次,最早出现在4月,10月份结束,发生最多在6月份,盛夏7月雷电灾害却少,西宁市和湟源县雷电灾害出现最多,湟中县雷电造成的人员伤亡最多,共伤亡11人,大部分在山间劳作的村民和牧民,与青海省东部农业区发生的其它气象灾害相比,雷电灾害最容易造成人员和牲畜伤亡。雷电灾害风险以西宁市为中心,向四周扩散逐渐降低,北部地区相对高于南部地区,西宁市、大通县遭受雷电灾害的可能性程度最大,乐都县虽然近9年没有上报的雷电灾情,但它的雷电灾害风险并不低。     

Spatial and temporal changes of agro-meteorological disasters affecting maize production in China since 1990

Agro-meteorological (AM) disasters have been reported to be more frequent with climate change. In this study, the spatial and temporal changes in the frequency of major AM disasters affecting maize production are investigated by analyzing observed records at 224 national AM stations in China from 1991 to 2009. To investigate the temporal changes of the disasters with climate warming, the whole study period was separated into a cool period (1991–2000) and a warmer one (2000–2009). We found drought was the most common disaster with a frequency of 49 %, followed by chilling injures (19.46 %). The frequency of disasters affecting maize increased significantly during the reproductive growth period than the vegetative growth period. Spatial patterns of major disaster frequency were characterized by region-specific, with more cold stress in northeastern China, drought in northern and western China, and rainstorms in southwestern China. Our study highlighted that the frequency and scope both increased significantly, implying a potential increasing risk for maize production. It is critical and important for local farmers and governors to take reasonable and timely adaptation measures based on the latest disasters’ features to mitigate the potential yield loss from AM disasters in order to ensure food security in China.     

Assessment of potential sediment disasters and resilience management of mountain roads using environmental indicators

In recent years, extreme rainfall events occur frequently, causing serious watershed sediment disasters, destroying mountain roads, and endangering the safety of residents' lives and property. This study aims to deal with the spatial change of potential sediment movement on the road slope pre-disaster and to screen disaster hot spots for early warning and control system. The conceptual model is used to simulate the distribution of primary and/or derived disasters on a watershed scale to assess the impact of sediment disasters caused by heavy rain event. Correlation analysis shows that the models in assessment of primary disaster and derived disaster are significantly correlated with the collapse ratio and disaster ratio, respectively. Since the primary disaster has been considered when calculating the derived disaster risk, the terrain subdivision along Provincial Highway 21 (Tai-21) is extracted to understand the derived sediment disaster on the road slope. The model can effectively evaluate the road sections prone to disasters. According to the risk level, the hot spot of road slope disasters and the management of disaster resilience are determined and can be the reference for disaster prevention and control.

     

Transboundary hazard risk: the Gobi desert paradigm

Transboundary hazard risk reflects how different societies interact with disaster in a shared landscape. In the Gobi desert of northern China and southern Mongolia recurring drought, extreme cold, wind and dust storms are the dominant hazards yet disasters vary significantly in the two countries. Research examined national approaches to environmental engagement and livelihoods in the desert through an assessment of disaster risk in two Gobi communities; farmers in Gansu Province, China, and herders in Dundgov and Omnogov Provinces, Mongolia. Exposure and resilience was evaluated and work examined how risk factors are shaped by policy, economics, culture and social memory. Comparison between two state systems reveals how disaster risk and vulnerability are shaped as much by human action as by the physical climatic event. China stressed government-led disaster management whilst Mongolia emphasised adaptation to hazards. Integrating multiple divisions within a hazard zone is essential to address risk reduction; without this disaster mitigation remains state-specific and lacks applicability to a wider area or global context.     

Assessment on agricultural drought vulnerability in the Yellow River basin based on a fuzzy clustering iterative model

Drought is one of the major natural disasters occurring in China and causes severe impacts on agricultural production and food security. Therefore, agricultural drought vulnerability assessment has an important significance for reducing regional agricultural drought losses and drought disaster risks. In view of agricultural drought vulnerability assessment with the characteristics of multiple factors and uncertainty, we applied the fuzzy comprehensive evaluation framework to agricultural drought vulnerability model. The agricultural drought vulnerability assessment model was constructed based on the multi-layer and multi-index fuzzy clustering iterative method, which can better reveal the drought vulnerability (including sensitivity and adaptation capacity). Furthermore, the cycle iterative algorithm was used to obtain the optimal index weight vector of a given accuracy by setting the objective function. It provides a new approach to weight determination of agricultural drought vulnerability assessment. In this study, agricultural drought vulnerability of 65 cities (as well as leagues and states) in the Yellow River basin was investigated using a fuzzy clustering iterative model and visualized by using GIS technique. The results showed clear differences and regularities among the spatial distribution of agricultural drought vulnerability of different regions. A large number of the regions in the basin consisted of those exhibiting high to very high vulnerability and were mainly distributed throughout Qinghai, Gansu, northern Shaanxi, and southern Shanxi, accounting for 46 % of the total assessment units. However, the regions exhibiting very high vulnerability were not significantly affected by droughts. Most of the regions exhibiting moderate vulnerability (21.5 % of the assessment units) were mainly concentrated among agricultural irrigation areas, where agriculture is highly sensitive to droughts, and drought occurrence in these regions will likely cause heavy losses in the future. The regions exhibiting slight to low vulnerability were relatively concentrated, accounting for 32.3 % of the assessment units, and were mainly distributed in the plains of the lower reaches of the Yellow River, where the economy was rather well developed and the agricultural production conditions were relatively stronger.