Scenario Analysis on the Adaptation of Different Maize Varieties to Future Climate Change in Northeast China

Based on gridded meteorological data for the period 1981–2100 from the RegCM3 regional model, the changing trends of climatic resources in Northeast China are analyzed, and the distributions of maize varieties are accordingly adjusted. In order to explore the effects of different adaptation countermeasures on climatic productivity and meteorological suitability in the future, maize cultivars with resistance to high temperatures and/or drought are selected. The results show that, in the future, there is likely to be a significant increase in thermal resources, and potential atmospheric evaporation will increase correspondingly.Meanwhile, radiation is predicted to increase significantly during 2041–2070 in the growing season. However, changes in precipitation are unlikely to be sufficient enough to offset the intensification in atmospheric evaporation caused by the temperature increase. Water resources and high temperatures are found to be the two major factors constraining grain yield. The results also show that the warming climate will be favorable for maize production where thermal resources are already limited, such as in central and northern Heilongjiang Province and eastern Jilin Province; while in areas that are already relatively warm, such as Liaoning Province, climatic productivity will be reduced. The climatic productivity and the meteorological suitability of maize are found to improve when the planting of resistant varieties is modeled. The utilization of agricultural climatic resources through the adaptation countermeasures of maize varieties is to increase obviously with time. Specifically, maize with drought-resistant properties will have a marked influence on meteorological suitability during 2011–2070, with suitable areas expanding. During 2071–2100, those maize varieties with their upper limit of optimum temperature and maximum temperature increased by 2℃, or water requirement reduced to 94%, or upper limit of optimum temperature and maximum temperature increased by 1℃ and water requirement reduced to 98%, all exhibit significant differences in climatic potential productivity, compared to the present-day varieties. The meteorological suitability of maize is predicted to increase in some parts of Heilongjiang Provine, with the eastern boundary of the "unavailable" area shifting westward.     

Thermal bioclimate in Strasbourg - the 2003 heat wave

This case study highlights the implications of the 2003 heat wave for the city of Strasbourg, France. The urban centers of France and other European countries were particularly affected by the heat wave. In some urban areas, the mortality rate was 60% above the expected value (Institute de Veille Sanitaire, 2003). The 2003 heat wave demonstrated once again that populations in urban centers are much more affected by extreme meteorological events than people living in rural areas. The aim of this analysis is to explore differences in thermal comfort conditions of (a) the city center of Strasbourg, and (b) its hinterland. The differences in thermal conditions existing between rural and urban areas are quantified by using a bio-climatological index termed physiologically equivalent temperature (PET). This index is based on the human energy balance and builds a relevant index for the quantification of the thermal environment of humans. We calculate the PET for the years 2003 and 2004 to highlight the temporal changes in the severity of climate extremes. The spatial scope of this study is improved compared to previous works in the field through the inclusion of PET calculations for five different sites on a central place in Strasbourg (Place Kléber). The calculations are characterized by different sky view factors and are compared to the reference site, which is located in a rural area. In the rural hinterland (Entzheim), the analysis of PET indicates a strong cold thermal stress during the winter months but no significant stress in summer. In 2003, summer temperatures were sensed as warmer compared to other years, but did not reach the extreme temperatures that may cause severe heat stress. For both the rural and the urban study sites PET was higher in the summer of 2003 than in 2004, which reflects the inferior thermal conditions in the urban area during the heat wave in 2003. For the entire study period, urban and rural day-time PET reached similar maximal values. Strong differences in PET, however, were observed between the rural and urban areas at night-time. The study of PET for several study sites on a central place in the city (Place Kléber) of Strasbourg for the years 2003 and 2004 showed that the sites with a higher sky view factor present higher values than sites with a lower sky view factor. The comparison of these PET values (Place Kléber) to the results for the rural area showed that during the day and the night the rural city of Entzheim has the lowest PET. During the day, the site at Place Kléber, which is located under a tree, has the lowest PET. The comparison of PET for the years 2003 and 2004 shows that PET in 2003 was about 5 to 7 K higher.     

基于计划行为理论的樱桃种植户对气候变化与气象灾害适应行为研究

了解农户气候变化与气象灾害适应行为影响机制对未来制定有效气候变化政策至关重要。基于计划行为理论,利用西安市白鹿原樱桃种植区农户的调查数据,结合结构方程模型分析樱桃种植户气候变化与气象灾害适应行为机制。研究表明,种植户关于气候变化与气象灾害的行为态度、主观规范和知觉行为控制三者之间相互影响,且三者均可直接影响种植户适应气候变化与气象灾害的行为意向,其中行为态度对行为意向的影响最为显著;种植户的知觉行为控制对于气候变化及气象灾害的适应行为影响不显著;种植户对气候变化与气象灾害的行为意向是影响其适应行为最直接的因素。     

Basic analysis of climate and urban bioclimate of Dar es Salaam, Tanzania

Better understanding of urban microclimate and bioclimate of any city is imperative today when the world is constrained by both urbanisation and global climate change. Urbanisation generally triggers changes in land cover and hence influencing the urban local climate. Dar es Salaam city in Tanzania is one of the fast growing cities. Assessment of its urban climate and the human biometeorological conditions was done using the easily available synoptic meteorological data covering the period 2001–2011. In particular, the physiologically equivalent temperature (PET) was calculated using the RayMan software and results reveal that the afternoon period from December to February (DJF season) is relatively the most thermal stressful period to human beings in Dar es Salaam where PET values of above 35 °C were found. Additionally, the diurnal cycle of the individual meteorological elements that influence the PET index were analysed and found that air temperature of 30–35 °C dominate the afternoon period from 12:00 to 15:00 hours local standard time at about 60 % of occurrence. The current results, though considered as preliminary to the ongoing urban climate study in the city, provide an insight on how urban climate research is of significant importance in providing useful climatic information for ensuring quality of life and wellbeing of city dwellers.     

Thermal bioclimate in idealized urban street canyons in Campinas, Brazil

Among several urban design parameters, the height-to-width ratio (H/W) and orientation are important parameters strongly affecting thermal conditions in cities. This paper quantifies changes in thermal comfort due to typical urban canyon configurations in Campinas, Brazil, and presents urban guidelines concerning H/W ratios and green spaces to adapt urban climate change. The study focuses on thermal comfort issues of humans in urban areas and performs evaluation in terms of physiologically equivalent temperature (PET), based on long-term data. Meteorological data of air temperature, relative humidity, wind speed and solar radiation over a 7-year period (2003–2010) were used. A 3D street canyon model was designed with RayMan Pro software to simulate the influence of urban configuration on urban thermal climate. The following configurations and setups were used. The model canyon was 500 m in length, with widths 9, 21, and 44 m. Its height varied in steps of 2.5 m, from 5 to 40 m. The canyon could be rotated in steps of 15°. The results show that urban design parameters such as width, height, and orientation modify thermal conditions within street canyons. A northeast–southwest orientation can reduce PET during daytime more than other scenarios. Forestry management and green areas are recommended to promote shade on pedestrian areas and on façades, and to improve bioclimate thermal stress, in particular for H/W ratio less than 0.5. The method and results can be applied by architects and urban planners interested in developing responsive guidelines for urban climate issues.     

A quantitative sensitivity analysis on the behaviour of common thermal indices under hot and windy conditions in Doha,Qatar

Human thermal perception is best described through thermal indices. The most popular thermal indices applied in human bioclimatology are the perceived temperature (PT), the Universal Thermal Climate Index (UTCI), and the physiologically equivalent temperature (PET). They are analysed focusing on their sensitivity to single meteorological input parameters under the hot and windy meteorological conditions observed in Doha, Qatar. It can be noted, that the results for the three indices are distributed quite differently. Furthermore, they respond quite differently to modifications in the input conditions. All of them show particular limitations and shortcomings that have to be considered and discussed. While the results for PT are unevenly distributed, UTCI shows limitations concerning the input data accepted. PET seems to respond insufficiently to changes in vapour pressure. The indices should therefore be improved to be valid for several kinds of climates.     

Relevance of thermal environment to human health: a case study of Ondo State, Nigeria

The interconnection between weather and climate and the performance, well-being, and human health cannot be overemphasized. The relationship between them is of both local and global significance. Information about weather, climate, and thermal environment is very important to human health and medical practitioners. The most crucial environmental information needed by medical practitioners and for maintaining human health, performance, and well-being are thermal conditions. The study used meteorological variables: air temperature, relative humidity, wind speed, solar radiation, and RayMan model as an analytical tool to compute physiologically equivalent temperature (PET) in order to assess thermo-physiological thresholds in Ondo State. The study revealed that there are marked spatial and seasonal variations in the environmental thermal conditions in the study area. The results of physiologically equivalent temperature for different grades of thermal sensation and physiological stress on human beings indicate that about 60 % of the total study period (1998–2008) fall under physiological stress level of moderate heat stress (PET 31–36 °C). In derived savannah, 32.6 % out of the total study period was under strong heat stress. In view of this, the study concluded that Ondo State may likely be prone to heat-related ailments and that some of the death recorded in the State, in recent times, may be heat-related mortality, but this is difficult to ascertain because there is no postmortem records in Nigeria where it could be confirmed. This type of study is relevant to help government to improve health care interventions and achieve Millennium Development Goals in health sector.     

近30年东北春玉米发育期对气候变化的响应

基于1981—2010年东北地区55个农业气象观测站发育期数据、16个气象站逐日气象资料,采用趋势变率、秩相关分析、主成分分析和结构方程模型等方法,分析了近30年东北春玉米关键发育期的变化特征,探讨了春玉米发育期对不同时间尺度气象因子的响应规律。结果表明:1981—2010年春玉米关键发育期 (播种期、抽雄期、成熟期) 均有延后趋势,大部分地区春玉米生长前期 (播种期—抽雄期) 日数减少,生长后期 (抽雄期—成熟期) 日数增加,全生育期日数增加。在绝大多数年份,春玉米播种期在温度适播期之后,成熟期在初霜日之前。近30年对东北春玉米生育期日数影响最大的气象要素为温度,主成分分析结果显示,年际尺度的升温、温度生长期的延长和作物生长期的高温对生育期日数影响显著;结构方程模型指出,作物生长期的最高温度和最低温度对生育期日数影响有间接效应,主导气象要素能够解释生育期日数变异的44%。全球变暖背景下,东北春玉米发育期变化是作物响应气候变化和农业生产适应气候变化的共同结果。     

“一带一路”沿线国家适应气候变化的技术需求评估

“一带一路”沿线国家受气候变化影响严重,亟需从其他国家转移适当的适应气候变化技术。技术需求评估是有效开展技术转移的必要前提。本研究利用“一带一路”沿线国家完成提交给《联合国气候变化框架公约》的技术需求评估（TNA）报告,在合作专利分类（CPC）框架下建立适应优先技术需求数据库,并根据技术需求的提及次数、技术需求的国家数目、技术需求的GDP覆盖范围以及技术惠及人口4个指标,分别从技术和地区两个角度对“一带一路”沿线国家的适应技术需求开展评估。结果发现：一方面,农林牧副渔生产中的适应技术（Y02A-40),集水、节水与高效利用水的技术（Y02A-20),沿海地区与江河流域的适应技术（Y02A-10）与对适应气候变化有间接贡献的技术（Y02A-90）这4方面的适应技术是“一带一路”沿线国家普遍关切的技术需求。另一方面,不同地区的“一带一路”沿线国家因其特有的地理区位和社会经济情况不同而产生特殊的适应技术需求。大洋洲、拉丁美洲与加勒比地区以及亚洲地区部分国家由于国内基础设施受气候变化影响十分严重,提出了保护和改造基础设施建设的技术（Y02A-30）需求;受气候变化影响,高温和降水加剧了疾病在空气和水体的传播,因此亚洲地区,大洋洲、拉丁美洲与加勒比地区特别提出了应对极端天气、保护人类健康的技术（Y02A-50）需求。为促进“一带一路”沿线国家开展有效技术转移,提高应对气候变化能力,应加大对气候适应技术研发投入,以技术接受国的技术需求为基础,并高效利用现有的“一带一路”技术转移中心网络,开展技术转移活动。     

Evaluation of thermal comfort conditions in Ourmieh Lake, Iran

Research in developing countries concerning the relationship of weather and climate conditions with tourism shows a high importance not only because of financial aspects but also an important part of the region’s tourism resource base. Monthly mean air temperature, relative humidity, precipitation, vapor pressure, wind velocity, and cloud cover for the period 1985–2005 data collected from four meteorological stations Tabriz, Maragheh, Orumieh, and Khoy were selected. The purpose of this study is to determine the most suitable months for human thermal comfort in Ourmieh Lake, a salt sea in the northwest of Iran. To achieve this, the cooling power and physiologically equivalent temperature (PET) calculated by the RayMan model and the Climate Tourism/Transfer Information Scheme (CTIS) were used. The results based on cooling power indicate that the most favorable period for tourism, sporting, and recreational activities in Ourmieh Lake is between June and October and based on PET between June to September. In addition, the CTIS shows a detailed quantification of the relevant climate–tourism factors.     

东北春大豆精细化气候区划

以东北春大豆为研究对象,分早熟、中熟和晚熟3类熟型构建东北春大豆气候区划指标。利用基于模糊数学的区划指标隶属度函数和作物反应函数两种气候适宜度评价方法,结合精细化插值（Anusplin插值）后的东北地区1990—2019年气象数据,从时间、空间（1 km×1 km农田）和熟型开展东北春大豆精细化气候区划。结果表明:8月平均温度、5—9月累积降水量和7月累积日照时数是影响春大豆相对气象产量的主要气象要素。分熟型的气候区划结果在表达春大豆单产分布和产量稳定性方面优于不分熟型。根据气候适宜度和减产率的定量关系将适宜度评价结果分为最适宜、适宜、次适宜、不适宜4个等级,其中东北地区最适宜春大豆种植的区域主要集中在松嫩平原的北部和三江平原中南部。随着气候变暖,适宜春大豆种植区域向高纬度和高海拔地区扩大。     

我国干旱半干旱区气候变化特征及其对干湿波动的影响

气候干湿状况是表征区域气候特征的重要指标,是在全球气候变暖背景下,水循环与陆面蒸散发作用的综合结果。本文从湿润度指数入手,结合降水与潜在蒸散的时空变化,分析了我国干旱半干旱区气候特点与干湿变化特征及对土壤湿度的影响。分析发现：近50年来,我国干旱与半干旱区均呈变湿趋势。干旱区与半干旱区潜在蒸散与降水月差值在年内出现时间上存在不一致,且干旱区明显大于半干旱区;3～9月为干旱气候区潜在蒸散与降水差值大值期,3～6月半干旱区潜在蒸散明显大于降水,7月起差值明显减小。作用分析表明,在干旱区,降水对湿润度指数的影响更大,而对于半干旱区,降水与潜在蒸散作用相当。长期以来,我国整个干旱与半干旱区大部分土壤湿度在逐渐变干,尤其是农业耕作层的浅层土壤,几乎全区域一致呈现变干趋势,说明我国干旱半干旱区农牧业生产存在较大的潜在干旱风险。     

气候变化适应行动实施框架——宁夏农业案例实践

宁夏是我国生态脆弱区和贫困区之一,以宁夏为例开展农业适应行动实践具有一定的代表性和示范作用。根据气候变化适应行动实施框架,研究结果表明：宁夏未来气候干旱风险将增加,水资源短缺矛盾加剧,极端气候事件频率和强度加大。未来宁夏北部灌区农业应以发展节水灌溉和高效种植为主,中部以设施农业和牧业为主,南部以发展特色农业为主。气象部门和水利部门对适应技术的适应效果持乐观态度,农牧业部门和林业部门则态度谨慎。适应措施能否实施的首要条件是措施符合国家和地方的政策方针,其次是成本效益;在实施条件中,要求相对比较弱化的是公众对气候风险的认知程度以及措施的灵活调整性。在适应措施选择上,气象服务和种植结构调整成为首选的适应技术,而覆盖技术、节水技术由于更倾向于传统的技术范畴,虽然效果较好,但对其适应优先性选择存在影响。     

环渤海夏蝗发生程度气象集成预报方法

东亚飞蝗发生程度与气象条件关系密切,该文使用1980-2008年的飞蝗资料和气象资料,选择了环渤海4种典型(沿海、水库、洼淀、内涝)蝗区,利用秩相关系数法筛选影响飞蝗发生程度的气象因子,确定了影响不同蝗区夏蝗发生程度的气象因子指标集。利用权重修正气象距离法,建立了气象距离指标预报模型;依据飞蝗自身生物学特性,建立了生物学预报模型。在此基础上,基于蝗虫生物学和气象条件影响的共同作用,建立了夏蝗发生程度的生物一气象集成长期预报模型。结果表明:在环渤海飞蝗区域,不同类型蝗区影响气象因子有一定差别,集成预报模型趋势预报准确率高于其他模型。     

焦作气候生态环境对四大怀药生长的影响

在对自然地理和生态环境进行考察的基础上,利用生产山药、地黄、牛膝、菊花等药材的不同地域气象台站1971-2000年气候整编资料,对怀药种植区光、热、水等农业气候资源进行了分析评价,并与周边地市及周边省份生产药材的代表气象台站的气候统计资料、自然生态环境条件进行对比分析。结果表明,焦作得天独厚的自然生态环境和气候条件,为“四大怀药”名贵药材独特品质的形成提供了绝佳的生长环境,造就了“四大怀药”独特的药效和滋补作用。最后对怀药生产可持续发展提出应对措施。     

The potential of vegetation feedback to alleviate climate aridity over the United States associated with a 2×CO2 climate condition

This study examines the potential impact of vegetation feedback on changes in summer climate aridity over the contiguous United States (US) due to the doubling of atmospheric CO₂ concentration using a set of 100-year-long climate simulations made by a global climate model interactively coupled with a dynamic vegetation model. The Thornthwaite moisture index (I _m ), which quantifies climate aridity on the basis of atmospheric water supply (i.e., precipitation) and atmospheric water demand (i.e., potential evapotranspiration, PET), is used to measure climate aridity. Warmer atmosphere and drier surface resulting from increased CO₂ concentration increase climate aridity over most of the contiguous US. This phenomenon is due to larger increments in PET than in precipitation, regardless of the presence or absence of vegetation feedback. Compared to simulations without active dynamic vegetation feedback, the presence of vegetation feedback significantly alleviates the increase in aridity. This vegetation-feedback effect is most noticeable in the subhumid regions such as southern, midwestern and northwestern US, primarily by the increasing vegetation greenness. In these regions, the greening in response to warmer temperatures enhances moisture transfer from soil to atmosphere by evapotranspiration (ET). The increased ET and subsequent moistening over land areas result in weaker surface warming (1–2?K) and PET (3–10?mm?month^?1), and greater precipitation (4–10?mm?month^?1). Collectively, they result in moderate increases in I _m . Our results suggest that moistening by enhanced vegetation feedback may prevent aridification under climatic warming especially in areas vulnerable to climate change, with consequent implications for mitigation strategies.     

Multipurpose agroforestry as a climate change resiliency option for farmers: an example of local adaptation in Vietnam

Increasing frequency, intensity and duration of severe weather events are posing major challenges to global food security and livelihoods of rural people. Agriculture has evolved through adaptation to local circumstances for thousands of years. Local experience in responding to severe weather conditions, accumulated over generations and centuries, is valuable for developing adaptation options to current climate change. This study aimed to: (i) identify tree species that reduce vulnerability of cropping systems under climate variability; and (ii) develop a method for rapidly assessing vulnerability and exploring strategies of smallholder farmers in rural areas exposed to climate variability. Participatory Rural Appraisal methods in combination with Geographical Information Systems tools and statistical analysis of meteorological data were used to evaluate local vulnerability to climate change and to investigate local adaptation measures in two selected villages in Vietnam, one of the countries most vulnerable to climate change. The low predictability of severe weather events makes food crops, especially grain production, insecure. This study shows that while rice and rain-fed crops suffered over 40 % yield losses in years of extreme drought or flood, tree-based systems and cattle were less affected. 13 tree species performed well under the harsh local climate conditions in home and forest gardens to provide income, food, feed and other environmental benefits. Thus, this research suggests that maintenance and enhancement of locally evolved agroforestry systems, with high resilience and multiple benefits, can contribute to climate change adaptation.     

Sensitivity analysis of 18 different potential evapotranspiration models to observed climatic change at German climate stations

Potential evapotranspiration models very often are important part of hydrological catchment models to calculate potential evapotranspiration (PET) which then is used to estimate actual evapotranspiration considering the soil moisture status. As many different approaches exist, the question arises in which way the choice of the PET model affects the impact of climate change on the calculated water balance? Therefore, 18 different PET models were compared with respect to their sensitivity to observed climate change. Long-term climate data of six German climate stations were used to identify changes in the climate data itself and changes in the calculated PET. The results show that all investigated PET models are sensitive to significant trends in climate data. However, it is also shown that all models show different sensitivities, and that the sensitivities cannot be grouped in terms of different types of PET models such as the aerodynamic concept, radiation or temperature based approaches and combination equations. Predominantly, the variability within a group of models of the same type is comparable to the variability between different model types. Therefore it can be concluded that PET models should be validated in a regional context before they are applied to a certain region within a climate change study despite the poor availability of long-term PET measurements.     

云南省建筑热工设计气象参数计算

根据云南省1981—2010年的历年气象数据,采用建筑行业标准与国家标准中规定的方法,得出了云南省125个城镇的气候区属、采暖度日数、空调度日数、最冷月平均温度、最热月平均温度5项建筑设计气象参数,模拟计算了围护结构热桥表面温度及线传热系数,以期为云南省建筑热工设计提供实用的参考。结果表明:为提高建筑气象参数的精度和实用性,应采用全省所有气象台站的30年气候整编资料,且最冷月、最热月平均温度的计算应采用实际最冷月、最热月温度;云南大部地区建筑热工设计都应满足冬季保温设计需求,热桥部位保温薄弱容易结露,应选用导热率小的建筑保温材料。