陕西省飞机增雨作业典型天气个例分析

在2002～2003年春秋季陕西省14次飞机增雨作业天气分析的基础上,对2002年9月13日飞机增雨作业典型天气个例的环流背景、影响系统以及500 hPaθse、温度、垂直速度、水汽通量散度等物理量场进行了分析,并结合飞机和雷达探测资料,得出飞机增雨作业需要的有利于层状云向降水转化的条件：有稳定的层状云,云系有一定冷层厚度和过冷云水量,供自然冰相降水元和人工催化形成的降水元增长;云系还应有一定厚度的暖层,供下落的自然和人工形成降水元融化再经碰并云水增长成雨滴形成降水.陕西省春秋季具有进行有效飞机增雨作业的天气系统和天气条件.     

2003年6月30日梅雨锋大暴雨β和γ中尺度结构的双多普勒雷达反演

2003年6月下旬至7月上旬,淮河流域出现了持续强暴雨,文中使用双多普勒雷达三维风场反演技术(MUSCAT)对6月29～30日合肥和马鞍山多普勒雷达探测到的暴雨资料进行了三维风场反演,对暴雨系统的中尺度三维动力结构进行了研究。此次梅雨锋暴雨是由β中尺度辐合带和嵌在辐合带上的γ中尺度涡旋共同作用引起的,辐合带上的波动活动对降水具有重要的触发和维持作用。在强降水时段的前期,无为附近中低层的γ中尺度涡旋在东—西走向的中尺度辐合带上自西向东移动,γ涡旋的移动与主雨区的移动基本同步,γ中尺度波动是该时段暴雨的重要动力因素;与此同时,在雨带的北区,γ中尺度涡旋活动比较频繁,但基本上是局地生消;在后期,西南暖湿气流和西风辐合,形成雨带上空的β中尺度辐合带,辐合带随着降水的减弱而减弱;最后,给出了此次暴雨的三维动力结构。     

"98·7"鄂东特大暴雨雷达反演资料的变分同化数值试验

采用η坐标中尺度有限区域模式,对"98·7"鄂东沿江突发性特大暴雨进行了数字化天气雷达探测降水资料调整湿度廓线的一维变分同化的敏感性试验.结果表明(1)最速下降算法的控制精度EPS取值越小,则变分同化后模式预报的降水量更接近于实况,但迭代次数会增加.(2)降水资料进行同化时,在一定程度上忽略降水量值相对较小的点的同化,对结果不会产生重大影响,但降雨核(强降水中心)的同化至关重要,其参与同化与否可以影响整个预报效果.     

Thermal conductivity in a vadose zone: A novel spectral solution and application by the implication of significant coherence of thermal condition in the shallow soil water layer

In the context of the heterogeneity in the unsaturated or vadose zone, accurately representing the analytical mechanisms and in-situ water content within the soil layer poses a significant challenge. Particularly in shallow layers, thermal conditions exhibit rapid changes in response to evolving surface temperatures. This study proposes a hypothesis suggesting that the in situ heat mechanism may notably impact the soil water layer. The research introduces an innovative approach to theoretically uncover thermal conditions, including soil temperature, soil temperature gradients, and heat flux, within the shallow Quaternary gravel layer at various depths through spectral analysis of temporal observations. The study presents a stochastic inverse solution to estimate thermal conductivity by leveraging spectral analysis of soil heat flux and temperature gradients. The findings reveal that thermal conditions exhibit the most prominent periodic fluctuations during the diurnal process over a 24-hour cycle. The soil temperature gradients and heat flux measurements at depths of 0.1, 0.3, 0.6, and 1.2 m demonstrate their ability to capture changes in soil temperature and air temperature to a certain extent within the frequency domain. Furthermore, the analysis highlights the intrinsic uncertainty and sensitivity of estimating thermal conductivity in heterogeneous soil environments. The wide variability observed in thermal conductivity values, coupled with their dependence on soil type and environmental conditions, underscores the need for careful consideration of these factors in future studies and modeling efforts. Applying the derived inverse spectral solution allows for determining thermal conductivity throughout the soil-water system across depths ranging from 0.1 to 1.2 m. As a result, this research demonstrates the feasibility and practicality of assessing the thermal conductivity of the soil layer in conjunction with heat flux and temperature gradients through spectral analysis.     

THE THEORY OF RESPONSE ANALYSIS OF FUZZY STOCHASTIC DYNAMICAL SYSTEMS WITH A SINGLE DEGREE OF FREEDOM

Most real-life structural/mechanical systems have complex geometrical and material properties and operate under complex fuzzy environmental conditions. These systems are certainly subjected to fuzzy random excitations induced by the environment. For an analytical treatment of such a system subjected to fuzzy random excitations, it becomes necessary to establish the general theory of dynamic response of a system to fuzzy random excitations. In this paper, the theory of response, fuzzy mean response and fuzzy covariance response of a single-degree-of-freedom (sdf) system to fuzzy random excitations in the time domain and frequency domain is put forward. The theory of response analysis of an sdf system to both stationary and non-stationary fuzzy random excitations in the time domain and frequency domain is established. Two examples are considered in order to demonstrate the rationality and validity of the theory, and the models of stationary filtered white noise and non-stationary filtered white noise fuzzy stochastic processes of the earthquake ground motion are set up. Methods of analysis for fuzzy random seismic response of sdf systems are put forward using the principles of response analysis of an sdf fuzzy random dynamic system.     

2015—2019年辽宁省暴雨红色预警信号分布及其特征

利用2015—2019年辽宁省发布的暴雨红色预警信号和1605个自动站的分钟级降水资料,统计暴雨红色预警信号和短时大暴雨年际变化和时空分布,分析暴雨红色预警信号的高分布区、易发时段。结果表明：2015—2017年辽宁省暴雨红色预警信号发布站数逐年递增,最大值出现在2017年,发布站数为147个;2015—2018年预警信号准确率提升,提前时间略减少,最低值为2018年,提前时间为19 min;2019年比2018年暴雨红色预警信号发布站数减少59个,提前时间增加29 min;暴雨红色预警信号的空间分布为东南部地区多、中部地区少;暴雨红色预警信号多在夜间发布;在辽宁省发布的50%以上的暴雨红色预警信号中,降水量达到预警发布标准的时间滞后于最大雨强出现时间90 min,最大雨强出现时间为暴雨红色预警信号发布的重要指标。为了达到防灾减灾的服务效果,发布暴雨红色预警信号时,应充分考虑最大雨强出现时间、发布时机、短时大暴雨高发区及地形的影响。     

多因子和多尺度合成中国夏季降水预测模型及预报试验

根据青藏高原60个站平均的月积雪深度、热带太平洋Nino 3区月海温和中国160个站月降水量等资料,用小波变换和相关分析,分析了1958～1998年秋冬季青藏高原异常雪盖与El Nino-南方涛动(ENSO)的关系、多时间尺度变化的特征及其与中国夏季降水的相关型式.并取青藏高原积雪和Nino 3区海温的年际变化、年代际变化和线性趋势三种不同时间尺度的小波分量作为预报因子,对我国夏季降水距平作线性回归,建立了相应的预测模型.最后,利用1999～2002年的独立资料进行了预报试验,并在2003年和2004年应用于实际预报.研究表明,青藏高原雪盖与ENSO这两个物理因子彼此具有一定的独立性.它们都是多时间尺度现象,并与中国夏季降水有较好的关系.在不同时间尺度上不仅有不同的相关型式,而且相对贡献也有变化.回归预测模型的拟合情况和预报试验表明,综合考虑前期秋冬季青藏高原雪盖和ENSO这两个物理因子的年际变化、年代际变化和线性趋势作为预报因子建立的预测我国夏季降水距平分布的模型,有一定的预报能力.     

热带西太平洋海温距平与Rossby波传播对1993和1994年东亚夏季风异常影响的差异

利用NCEP/NCAR再分析资料、Hadley中心海温资料与降水资料,分析了1993和1994年东亚夏季风异常的天气气候特征以及大气环流的差异.分析结果表明: 1993年东亚夏季风弱,副热带西风急流和副热带高压位置偏南,来自于孟加拉湾和南海的水汽仅输送到35°N以南地区.东亚地区出现低温凉夏天气.1994年东亚夏季风强,副热带西风急流和副热带高压位置偏北,7～8月副高持续偏强并控制日本,水汽可以输送到45°N以北的较高纬度,东亚发生破纪录的热浪干旱.对1993和1994年东亚夏季风异常物理过程差异的研究发现,副热带西风急流中静止Rossby波的传播和热带西太平洋暖池海温距平激发出来的PJ型遥相关波列作用的叠加引起1994和1993年东亚夏季风异常差异.     

Socio-economic vulnerability due to climate change: Deriving indicators for fishing communities in Mumbai

This paper assessed the socio-economic implications of climate change and vulnerability of fishing communities known as “Koli” living in Mumbai, India. The vulnerability indicators are derived from sustainable livelihood literature and use of multi-criteria analyses and are validated with expert opinions. A survey of two hundred fishermen from five fishing villages in Mumbai was conducted to collect data. The results demonstrate that vulnerability perpetuates due to physical and financial resource constraints among the fishing community. Fishermen from Madh and Worli villages are observed to be more vulnerable and less adaptive due to their inability to use efficient mechanized boats and advanced fishing implements, such as fish finders and GPS (Global Positioning System). The divergence in the vulnerability scores among fishing villages is attributed to the coping strategies, resource availability, knowledge and the benefit derived from the local government. Fishermen have been observing the negative impacts of climate change on their fishing livelihoods. Adaptation strategies to maximize fish catch are observed in such practices as targeting different species and fishing intensively for several days. However, these practices are leading to an imbalance in the common resource pool and biased resource sharing among different groups of fishermen.     

A proposal for the theoretical analysis of the interactive coupled effects between urbanization and the eco-environment in mega-urban agglomerations

Mega-urban agglomerations are strategic core areas for national economic development and the main regions of new urbanization. They also have important roles in shifting the global economic center of gravity to China. However, the development of mega-urban agglomerations has triggered the interactive coercion between resources and the eco-environment. The interactive coupled effects between urbanization and the eco-environment in mega-urban agglomerations represent frontier and high-priority research topics in the field of Earth system science over the next decade. In this paper, we carried out systematic theoretical analysis of the interactive coupling mechanisms and coercing effects between urbanization and the eco-environment in mega-urban agglomerations. In detail, we analyzed the nonlinear-coupled relationships and the coupling characteristics between natural and human elements in mega-urban agglomerations. We also investigated the interactive coercion intensities between internal and external elements, and the mechanisms and patterns of local couplings and telecouplings in mega-urban agglomeration systems, which are affected by key internal and external control elements. In addition, we proposed the interactive coupling theory on urbanization and the eco-environment in mega-urban agglomerations. Furthermore, we established a spatiotemporal dynamic coupling model with multi-element, multi-scale, multi-scenario, multi-module and multi-agent integrations, which can be used to develop an intelligent decision support system for sustainable development of mega-urban agglomerations. In general, our research may provide theoretical guidance and method support to solve problems related to mega-urban agglomerations and maintain their sustainable development.