Assessment of global meteorological,hydrological and agricultural drought under future warming based on CMIP6

在全球变暖背景下,分析和预测干旱的变化趋势和传播规律对于区域生态环境安全和灾害管理具有重要意义.本文基于第六次国际耦合模式比较计划(CMIP6),分析了SSP2-4.5和SSP5-8.5两种变暖情景下的气象(标准化降水指数SPI和标准化降水蒸发指数SPED,水文(标准化径流指数SRI)和农业(标准化土壤水分指数SSI)...     

江苏省小麦播种期的干旱研究及应用

本文确定了以降水量和蒸散量为参数的干旱指数计算方法,以小麦适宜播种期及前后各一句的时间范围内综合考虑各旬干旱指数,确定干旱指标,并讨论了江苏省小麦播种期干旱的发生规律。     

Development of an operational low-flow index for hydrological drought monitoring over Europe

Near real-time monitoring of hydrological drought requires the implementation of an index capable of capturing the dynamic nature of the phenomenon. Starting from a dataset of modelled daily streamflow data, a low-flow index was developed based on the total water deficit of the discharge values below a certain threshold. In order to account for a range of hydrological regimes, a daily 95th percentile threshold was adopted, which was computed by means of a 31-day moving window. The observed historical total water deficits were statistically fitted by means of the exponential distribution and the corresponding probability values were used as a measure of hydrological drought severity. This approach has the advantage that it directly exploits daily streamflow values, as well as allowing a near real-time update of the index at regular time steps (i.e. 10 days, or dekad). The proposed approach was implemented on discharge data simulated by the LISFLOOD model over Europe during the period 1995–2015; its reliability was tested on four case studies found within the European drought reference database, as well as against the most recent summer drought observed in Central Europe in 2015. These validations, even if only qualitative, highlighted the ability of the index to capture the timing (starting date and duration) of the main historical hydrological drought events, and its good performance in comparison with the commonly used standardized runoff index (SRI). Additionally, the spatial evolution of the most recent event was captured well in a simulated near real-time test case, suggesting the suitability of the index for operational implementation within the European Drought Observatory.     

西南区域持续性干旱事件的行星尺度和天气尺度扰动信号

以2009-2010年发生在中国西南地区的持续性干旱事件为例,通过干旱和大气变量的物理分解得到了一些干旱事件发生的新认识.气象干旱多为年循环的气候干季与干旱扰动的叠加所致.一次干旱扰动大约为30-50天,而一次持续性干旱事件是由几次干旱扰动组成的.大气高度场和风场中存在三种时间尺度的扰动.一种是年际行星尺度的大气扰动,与ENSO冷暖事件有关,起源于赤道并传播到中高纬度地区需要2-4年.另一种是季节内行星尺度的大气扰动,与来自赤道地区的30-50天振荡有关.此外,大气中还存在天气尺度的扰动.利用行星尺度大气扰动向赤道外传播与天气尺度扰动的叠加,区域持续性干旱事件能够找到前期预报信号.     

2013年长江中下游夏季高温干旱演变过程及环流异常成因简析

利用改进的CIn指数,结合NCEP/NCAR再分析资料,逐候分析2013年夏季长江中下游地区高温干旱演变过程和高温异常成因。结果表明：改进后的CIn指数能够准确识别此次干旱过程,整体持续时间近一个月。旱情从7月第4候湖南南部开始,8月第3候干旱程度最强,特旱中心位于湖南省中东部,浙江省为高温中心,8月第4候旱情得到缓解。在干旱成因上,极涡位置异常偏西,影响长江中下游地区冷空气偏弱,南亚高压东伸与西太平洋副热带高压西伸明显;鄂霍次克海至菲律宾一带呈较强的EAP遥相关型,其中长江中下游地区位势高度的正异常加强了西太平洋副热带高压的中心强度并使其位置偏西;乌拉尔山地区的阻塞高压与西太平洋副热带高压相对峙,有利于西太平洋副热带高压长期稳定地控制在长江中下游地区;同时欧亚大陆与西太平洋海陆温差增大,东亚夏季风偏强,西太平洋副热带高压异常偏北,长江中下游地区下沉气流强盛,在西太平洋副热带高压和南亚高压共同作用下,造成持续的高温干旱过程。     

内蒙古东南部地区夏季旱涝的环流特征分析及预测

主要从与内蒙古东南部地区(指赤峰市和通辽市)夏季旱涝关系密切的西太平洋副高、亚洲地区环流和蒙古冷涡三个主要的天气系统入手,分析旱涝年的环流差异。结果表明:⑴夏季蒙古冷涡偏多、副热带高压偏强和北半球盛行经向环流,是造成夏季降水偏多的主要环流形势;⑵冬季北半球极涡纬度和亚洲地区的环流指数对夏季环流形势有一定的指示意义;二者相互动态地影响了夏季旱涝,据此建立夏季旱涝预测模型。经过1995—2008年14年的实际应用,趋势准确率为85.7%。     

山东春季降水的时空变化特征分析

根据山东省81个地面站1961-1998年共38年的降水资料,应用自然正交函数展开（EOF）方法,分析了山东省38年春季月、季降水量的时空变化特征。根据降水方差累积贡献率和空间分布特征,指出前3个典型场基本能反映山东省春季季降水分布的主要特征,其贡献率高达81．30％,据此得出山东省春季降水分布类型：总体一致型、东南-西北差异型和西南-东北差异型。山东春季降水空间分布可分为4个区,南部区：日照、临沂、枣庄及济宁;半岛区：烟台、威海、青岛和潍坊东部;西部区：荷泽、聊城;北部区：德州、滨州、东营、济南、泰安、莱芜、淄博和潍坊西部。同旱（涝）是山东春季各月降水的基本型。山东春季易出现干旱,春季降水存在明显的年际变化,有4．8～6年的振荡周期。     

Hydrologic drought prediction under climate change: Uncertainty modeling with Dempster–Shafer and Bayesian approaches

Representation and quantification of uncertainty in climate change impact studies are a difficult task. Several sources of uncertainty arise in studies of hydrologic impacts of climate change, such as those due to choice of general circulation models (GCMs), scenarios and downscaling methods. Recently, much work has focused on uncertainty quantification and modeling in regional climate change impacts. In this paper, an uncertainty modeling framework is evaluated, which uses a generalized uncertainty measure to combine GCM, scenario and downscaling uncertainties. The Dempster–Shafer (D–S) evidence theory is used for representing and combining uncertainty from various sources. A significant advantage of the D–S framework over the traditional probabilistic approach is that it allows for the allocation of a probability mass to sets or intervals, and can hence handle both aleatory or stochastic uncertainty, and epistemic or subjective uncertainty. This paper shows how the D–S theory can be used to represent beliefs in some hypotheses such as hydrologic drought or wet conditions, describe uncertainty and ignorance in the system, and give a quantitative measurement of belief and plausibility in results. The D–S approach has been used in this work for information synthesis using various evidence combination rules having different conflict modeling approaches. A case study is presented for hydrologic drought prediction using downscaled streamflow in the Mahanadi River at Hirakud in Orissa, India. Projections of n most likely monsoon streamflow sequences are obtained from a conditional random field (CRF) downscaling model, using an ensemble of three GCMs for three scenarios, which are converted to monsoon standardized streamflow index (SSFI-4) series. This range is used to specify the basic probability assignment (bpa) for a Dempster–Shafer structure, which represents uncertainty associated with each of the SSFI-4 classifications. These uncertainties are then combined across GCMs and scenarios using various evidence combination rules given by the D–S theory. A Bayesian approach is also presented for this case study, which models the uncertainty in projected frequencies of SSFI-4 classifications by deriving a posterior distribution for the frequency of each classification, using an ensemble of GCMs and scenarios. Results from the D–S and Bayesian approaches are compared, and relative merits of each approach are discussed. Both approaches show an increasing probability of extreme, severe and moderate droughts and decreasing probability of normal and wet conditions in Orissa as a result of climate change.     

Effects of Hydrogel Amendment to Different Soils on Plant Available Water and Survival of Trees under Drought Conditions

The effect of super absorbent polyacrylate (SAP) hydrogel amendment to different soil types on plant available water (PAW), evapotranspiration and survival of Eucalyptus grandis, Eucalyptus citriodora, Pinus caribaea, Araucaria cunninghamii, Melia volkensii, Grevillea robusta, Azadirachta indica, Maesopsis eminii and Terminalia superba was investigated. The seedlings were potted in 3 kg size polythene bags filled with sand, loam, silt loam, sandy loam and clay soils, amended at 0 (control), 0.2 and 0.4% w/w hydrogel. The tree seedlings were allowed to grow normally with routine uniform watering in a glass house set up for a period of eight weeks, after which they were subjected to drought conditions by not watering any further. The 0.4% hydrogel amendment significantly (p < 0.05) increased the PAW by a factor of about three in sand, two fold in silt loam and one fold in sandy loam, loam and clay soils compared to the control. Similarly, the addition of either 0.2 or 0.4% hydrogel to the five soil types resulted in prolonged tree survival compared to the controls. Araucaria cunninghammi survived longest at 153 days, while Maesopsis eminii survived least (95 days) in sand amended at 0.4% after subjection to desiccation. Evapotranspiration was reduced in eight of the nine tree species grown in sandy loam, loam, silt loam and clay soils amended at 0.4% hydrogel. It is probable that soil amendment with SAP decreased the hydraulic soil conductivity that might reduce plant transpiration and soil evaporation.     

Constraints to effective adoption of innovative livestock production technologies in the Rift Valley (Kenya)

We surveyed small-scale farmers in the Kenyan Rift Valley province (Narok and Nakuru districts) to describe constraints to, and changes in, livestock production and to assess the extent to which farmers have adopted new technologies promoted by extension services. In the arid areas of southern Narok, farmers' main constraints were drought and disease. Farmers in Nakuru district, situated in the fertile highlands of the Rift Valley, were also affected by disease but also lacked markets and capital. Although 83% of the farmers had regular contact with extension services that provided advice on new technologies and livestock production innovations, only about half of the respondents implemented the proposed changes. Many of those who did change (38%) improved pasture/nutrition/manure management and relatively few (16%) improved their animal breeding practices. Results of a multinomial logit model revealed that, apart from the significant differences between the two districts, the nature of the advice and the expected outcomes had the strongest influence on the probability of successfully implementing changes to livestock production. The results further suggest that adoption of new technologies is limited by lack of knowledge, inadequate support and a failure to target local needs and conditions and empower livestock keepers.