Is the soil moisture precipitation feedback enhanced by heterogeneity and dry soils? A comparative study

The interaction between the land surface and the atmosphere is a crucial driver of atmospheric processes. Soil moisture and precipitation are key components in this feedback. Both variables are intertwined in a cycle, that is, the soil moisture – precipitation feedback for which involved processes and interactions are still discussed. In this study the soil moisture – precipitation feedback is compared for the sempiternal humid Ammer catchment in Southern Germany and for the semiarid to subhumid Sissili catchment in West Africa during the warm season, using precipitation datasets from the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS), from the German Weather Service (REGNIE) and simulation datasets from the Weather Research and Forecasting (WRF) model and the hydrologically enhanced WRF-Hydro model. WRF and WRF-Hydro differ by their representation of terrestrial water flow. With this setup we want to investigate the strength, sign and variables involved in the soil moisture – precipitation feedback for these two regions. The normalized model spread between the two simulation results shows linkages between precipitation variability and diagnostic variables surface fluxes, moisture flux convergence above the surface and convective available potential energy in both study regions. The soil moisture – precipitation feedback is evaluated with a classification of soil moisture spatial heterogeneity based on the strength of the soil moisture gradients. This allows us to assess the impact of soil moisture anomalies on surface fluxes, moisture flux convergence, convective available potential energy and precipitation. In both regions the amount of precipitation generally increases with soil moisture spatial heterogeneity. For the Ammer region the soil moisture – precipitation feedback has a weak negative sign with more rain near drier patches while it has a positive signal for the Sissili region with more rain over wetter patches. At least for the observed moderate soil moisture values and the spatial scale of the Ammer region, the spatial variability of soil moisture is more important for surface-atmosphere interactions than the actual soil moisture content. Overall, we found that soil moisture heterogeneity can greatly affect the soil moisture – precipitation feedback.     

Risk analysis for clustered check dams due to heavy rainfall

Check dams are commonly constructed around the world for alleviating soil erosion and preventing sedimentation of downstream rivers and reservoirs.Check dams are more vulnerable to failure due to their less stringent flood control standards compared to other dams.Determining the critical precipitation that will result in overtopping of a dam is a useful approach to assessing the risk of failure on a probabilistic basis and for providing early warning in case of an emergency.However,many check dams are built in groups,spreading in several tributaries in cascade forms,comprising a complex network.Determining the critical precipitation for dam overtopping requires a knowledge of its upstream dams on whether they survived or were overtopped during the same storm,while these upstream dams in turn need the information for their upstream dams.The current paper presents an approach of decomposing the dam cluster into(1)the heading dam,(2)border dams,and(3)intermediate dams.The algorithm begins with the border dams that have no upstream dams and proceeds with upgraded maps without the previous border dams until all the dams have been checked.It is believed that this approach is applicable for small-scale check dam systems where the time lag of flood routing can be neglected.As a pilot study,the current paper presents the analytical results for the Wangmaogou Check Dam System that has 22 dams connected in series and parallel.The algorithm clearly identified 7 surviving dams,with the remaining ones being overtopped for a storm of 179.6 mm in 12 h,which is associated with a return period of one in 200 years.     

河西走廊春末夏初降水的空间异常分布及年代际变化

利用河西走廊19个气象代表站建站至2002年5～6月降水量资料, 分析了河西走廊春末夏初干旱的基本气候特征; 在利用EOF和REOF方法进行降水空间异常变化分析和气候分区的基础上,讨论了第一时间系数(PC1)及各区代表站降水量的年代际变化规律. 结果表明, 河西走廊春末夏初降水量在第一空间尺度上为全区一致; 在第二空间尺度上可分为3个气候区; 在第三空间尺度上可分为5个自然气候区. 1980年代为近50 a来降水最多的10 a, 1990年代有所减少, 20世纪末至21世纪初有明显增加. 前期冬季欧亚径向环流加强, 亚洲区极涡面积扩大、强度加强, 冷空气活动频繁, 将有利于次年春末夏初河西走廊降水偏多. 欧洲青藏高原华北西太平洋的波列, 特别是东亚大槽的填塞和青藏高原低值系统频繁活动, 造成了500 hPa高空场上"东高西低"的典型多雨流型.     

中国近代北方极端干湿事件的演变规律

Using monthly precipitation and monthly mean temperature, a surface humid index was proposed. According to the index, the distributed characteristics of extreme dryness has been fully analyzed. The results indicated that there is an obvious increasing trend of extreme dryness in the central part of northern China and northeastern China in the last 10 years, which shows a high frequency period of extreme dryness; while a low frequency period in the regions during the last 100 years. Compared with variation trend of the temperature in these regions, the region of high frequent extreme dryness is consistent with the warming trend in the same region.     

青藏高原海拔要素对温度、降水和气候型分布格局的影响

青藏高原平均海拔4 000~5 000 m,由于特殊的地理条件,生态环境较为脆弱,对气候变化非常敏感,并对周围乃至全球的气候产生重要影响。使用1961-2010年青藏高原温度、降水0.5°×0.5°格点数据,以及由GTOPO30数据（分辨率为0.05°×0.05°）经过重采样生成的陆地0.5°×0.5°的数字高程模型DEM,分析了青藏高原温度、降水受海拔要素的影响,并通过青藏高原区域79个气象站的数据进行验证,进而使用柯本气候分类和中国自然地理区划两种方法对青藏高原气候进行划分,探讨青藏高原各分区海拔要素对温度、降水的影响差异以及出现差异的原因。研究表明：青藏高原及其各分区的气温垂直递减率不同,是由于地形起伏不同造成的青藏高原热源效用不同;降水与海拔的关系不同,是由于各区域受控于不同的气候系统,造成干湿度的不同,因而最大降水高度带不同。     

沙漠微生物矿化覆膜及其稳定性的现场试验研究

将微生物诱导矿化技术应用于原位沙漠覆膜的形成,使得流动沙丘经结皮固定而成为半固定、固定沙丘,从根本上阻断沙尘暴的源头。在内蒙古乌兰布和沙漠腹地选择两个微生物矿化试验区域（TP1和TP3）,分别用于两种不同矿化菌种诱导生成碳酸钙覆膜。研究沙漠微生物矿化覆膜的现场试验方法及工艺,对原位矿化覆膜的强度及其在沙漠环境中的长期稳定性进行跟踪检测。采用沙漠土中自行提取的葡萄球菌和传统的巴氏芽孢杆菌两种不同的微生物矿化菌种,通过现场贯入试验检测7、14、28、60、210 d后矿化覆膜沿深度发展的贯入阻力,并将覆膜厚度为2 cm处的平均贯入阻力换算成覆膜层强度,总结覆膜强度随时间的发展变化规律。现场观测结果显示,不同微生物菌种诱导生成的矿化覆膜均在试验的第4天开始形成,到第7天覆膜层具有稳定的强度和厚度,现场检测覆膜的平均厚度为2.0～2.5 cm,经自源葡萄球菌诱导生成的矿化覆膜（TP1）的强度是巴氏芽孢杆菌诱导生成的矿化覆膜（TP3）强度的1.05倍。当经历冬春交替后覆膜层强度都有不同程度的降低,明显地TP3较TP1区域表面剥落更为严重,第210天检测TP3的平均厚度为0.7～1.0 cm,覆膜强度较第7天时降低19%,覆膜内碳酸钙含量较第7天检测时降低15%～30%。而TP1在第210天时的强度较第7天时强度降低仅2%。因此,微生物诱导矿化技术可以应用于沙漠原位覆膜的形成,且沙漠自源葡萄球菌经诱导生成的矿化覆膜层具有更好的强度表现和稳定性。     

断陷盆地高原面典型岩溶洼地旱季土壤水氢氧同位素时空差异特征

以云南省蒙自断陷盆地东山山区典型岩溶洼地为研究区,通过野外采集土壤样品与实验室测试分析相结合的方法,运用稳定同位素技术研究旱季不同深度土壤水氢氧同位素组成,揭示区内土壤水氢氧同位素时空变化特征,为进一步研究云南断陷盆地山区土壤水分运移机制和当地农业合理利用和管理水资源提供科学依据。结果表明:(1)土壤水δD、δ18O同位素值的变化范围分别为-128.3‰~-27.6‰和-17.5‰~2.5‰,平均值分别为-96.1‰±20.7‰和-12.3‰±3.7‰,降雨转化为土壤水和水分在土壤中重新分布时发生一定程度的氢氧同位素分馏。(2)旱季两个月份土壤水氢氧同位素组成发生变化,4月份土壤水δD、δ18O同位素平均值分别为-86.3‰±23.83‰和-10.6‰±4.3‰,显著高于2月份(δD:-106.1‰±9.5‰;δ18O:-14.1‰±1.6‰)(p<0.05),主要和4月份土壤水的蒸发作用强烈有关。(3)在空间上,坡地与洼地之间土壤水氢氧同位素组成存在差异,2月份坡地与洼地之间土壤水δD、δ18O值差异显著(p<0.05),洼地土壤水δD、δ18O比坡地偏轻;4月份坡地与洼地之间土壤水δD、δ18O值差异不显著(p>0.05)。(4)土壤垂直剖面方向上土壤水δD、δ18O值随着土壤深度的增加而减小,浅层土壤水δ18O和深层土壤水δ18O存在显著差异,2月份浅层土壤水δ18O比深层土壤水δ18O偏正2.8‰,4月份浅层土壤水δ18O比深层土壤水δ18O偏正10.5‰。      

不同强度热带气旋对中国降水变化的影响

基于1960—2017年2 000多个气象台站逐日降水数据和中国气象局热带气旋(TC)最佳路径资料集,采用客观天气图分析法(OSAT)识别得到TC降水。研究表明,中国TC降水总体呈显著下降趋势,较12年前的研究结果下降趋势变缓;TC盛期(7~9月)降水占到TC总降水的78.5%,TC盛期降水和TC非盛期降水均呈显著下降趋势。TC降水气候趋势在空间分布上以减少为主要特征,并表现出明显的地域差异,自南向北呈"减少—增多—减少"的分布型,减少趋势中心位于广东和海南。按TC影响期最大强度分级(弱TC、中等强度TC和强TC)研究不同强度TC降水的变化,结果显示,强TC降水表现出显著减少趋势,主要决定着TC总降水的影响范围和趋势等主要特征。进一步分析发现,影响TC频数在1960—2017年呈显著减少趋势,并在1995年发生突变;对1995年前后2个时期的对比研究显示,与前一时期(1960—1994年)相比,后一时期(1995—2017年)影响TC活动频次在20°N以南的海域呈现出显著的减少趋势,减少大值中心位于南海北部,而且这一特征也主要由影响TC中的强TC所决定;强TC的这一变化趋势导致了华南地区尤其是广东和海南TC降水日数的减少,进而使得TC降水减少。     

宁镇地区地质灾害预报模型——以镇江润州区为例

宁镇地区是长江中下游地质灾害最严重的地区之一。镇江润州区虽然仅是宁镇地区的一个局部区域,但其气候和地质环境特征具有典型意义,所提出的地质灾害气象预警预报模型同样适用于整个宁镇地区,对长江中下游地区亦有借鉴作用。气候环境、降雨尤其是连续降雨或强降雨是诱发地质灾害的重要因素。润州区地质灾害主要与梅雨期总降雨量有关,其次与台汛期台风带来的降雨量有关,而与台汛期总降雨量无关。地质灾害预测预警方程应针对不同时期采用不同的预警模型：非梅雨期的预警方程采用预报日降雨量结合前5日降水之和的综合模型,梅雨期的预警方程采用梅雨期降雨总量模型。提出地质灾害气象预报预警等级应根据《国家突发公共事件总体应急预案》将等级统一划分为4级。该模型可作为完善我国现有地质灾害气象预警预报系统的参考。     

基于两种插值算法的三维地质建模对比

三维地质建模过程中,插值算法对模型准确性具有显著影响。为评价不同插值算法对三维建模准确性的影响,本文选取反距离权重插值法和自然邻域插值法开展对比研究。通过理论分析和案例研究,从统计学原理、插值误差和可视化效果等三方面进行了对比分析。结果表明：反距离权重插值法在建模中精度较高,适应面更广。与自然邻域插值法相比,反距离权重插值法更加适用于地层缺失严重的层位,能够更好地保留地层缺失的特征;同时,反距离权重插值法能够更好地处理断层构造,对于地层的错断起伏情况表现效果更好;反距离权重插值法在沉积地层中误差更小,与实际情况更接近。