冻结-冻融过程中水分运移机理

为研究冻结-冻融过程中水分运移机理,在天山北麓平原通过人为控制潜水不同埋深条件下的模拟试验和田间土壤水分运移观测试验,分析了土壤水势分布和土壤含水量分布特征,发现冻结过程不同潜水埋深条件下的土壤水分运移机理、土壤水与潜水之间的相互转化关系有明显差异.在冻结过程中,潜水浅埋条件下,冻结层下界面与潜水面之间土壤水分运移状态呈上渗型,土壤水向冻结层下界面处运移、积累,同时引起潜水蒸发损耗使潜水位下降,表现出地下水向土壤水转化的基本特征.潜水深埋区,土壤水分运移状态呈上渗-入渗型,同样土壤水向冻结层下界面处运移、积累,同时潜水得到一定的入渗补给并使潜水位上升,表现为土壤水向地下水转化的特征.冻融过程中对于不同潜水埋深,由原来各自的土壤水分运移状态均逐渐转变为入渗型,形成潜水入渗补给,表现为土壤水向地下水转化的特征.冻融期是土壤水资源、地下水资源形成的重要时期,对于干旱少雨的西北地区而言,冻融水的形成、运移和入渗补给地下水具有重要的生态环境意义.     

A note on the role of meridional wind stress anomalies and heat flux in ENSO simulations

Four comparative experiments and some supplementary experiments were conducted to examine the role of meridional wind stress anomalies and heat flux variability in ENSO simulations by using a high-resolution Ocean General Circulation Model （OGCM）. The results indicate that changes in the direction and magnitude of meridional wind stress anomalies have little influence on ENSO simulations until meridional wind stress anomalies are unrealistically enlarged by a factor of 5.0. However, evidence of an impact on ENSO simulations due to heat flux variability was found. The simulated Nino-3 index without the effect of heat flux anomalies tended to be around 1.0° lower than the observed, as well as the control run, during the peak months of ENSO events.     

长江三角洲城市带扩展对区域温度变化的影响

Based on non-radiance-calibrated DMSP/OLS nighttime light imagery from 1992 to 2003, urban land area statistical data, meteorological data and land surface temperature data retrieved by MODIS and NOAA/AVHRR data, the influence of urbanization on regional cli- matic trend of temperature in the Yangtze River Delta (YRD) was analyzed. Conclusions are as follows: 1) There is a significant urbanization process from 1992 to 2003 in the YRD. Four city clusters of Nanjing–Zhenjiang–Yangzhou, Suzhou–Wuxi–Changzhou, Shanghai and Hangzhou Bay form a zigzag city belt. The increase rate of annual mean air temperature in city-belt is 0.28–0.44℃/10a from 1991 to 2005, which is far larger than that of non-city-belt. 2) The urban heat island (UHI) effect on regional mean air temperature in different seasons is summer>autumn>spring>winter. 3) The UHI intensity and the urban total population logarithm are creditably correlated. 4) The UHI effect made the regional annual mean air temperature increased 0.072℃ from 1961 to 2005, of which 0.047℃ from 1991 to 2005, and the annual maximum air temperature increased 0.162℃, of which 0.083℃ from 1991 to 2005. All these indicating that the urban expansion in the YRD from 1991 to 2005 may be regarded as a serious climate signal.     

北京城市热岛的时空变化分析

利用1987、1999、2000、2001、2002和2005年六幅陆地卫星影像研究北京市规划区地表城市热岛（SUHI）．首先用决策树分类法进行分类,得到六幅不同时相的土地利用／覆盖分类图像．根据Artis＆Carnahan算法利用热红外通道的灰度值计算地表辐射亮温,基于分类结果进行比辐射率纠正,计算地表温度．通过分析北京市规划区1987～2005年间地表城市热岛的特征,发现不同土地利用／土地覆盖类型与地表城市热岛有密切关系;2001年、2002年和2005年影像中市区的热岛分布的破碎度增加,由原来的集中分布慢慢向周围扩散,并在市区中心植被覆盖高的区域出现蓝色“凉爽”区;地表城市热岛增加的区域与城市扩展区域一致,城市化过程是城市热岛面积不断增加的主要的原因．     

中国太阳能热发电站选址模型研究

太阳能热发电技术在我国新世纪能源战略中具有重要地位,太阳能热发电电站位置的合理选择对发电成本有直接影响,涉及到太阳能热发电技术本身、高时空分辨率的太阳能法直辐射分布、土地利用分布、水资源分布、社会经济分布,以及政策税收等众多因素。本文提出了一个太阳能热发电站选址的决策支持系统框架,就其中的太阳能直法辐射调查进行了初步试验。本文依据供需时空平衡原则进一步讨论了多种绿色能源互补的大能源系统运筹问题。     

A Sensitivity Study of Arctic Ice-Ocean Heat Exchange to the Three-Equation Boundary Condition Parametrization in CICE6

In this study, we perform a stand-alone sensitivity study using the Los Alamos Sea ice model version 6(CICE6) to investigate the model sensitivity to two Ice-Ocean(IO) boundary condition approaches. One is the two-equation approach that treats the freezing temperature as a function of the ocean mixed layer(ML) salinity, using two equations to parametrize the IO heat exchanges. Another approach uses the salinity of the IO interface to define the actual freezing temperature, so an equation describ...     

基于卫星遥感数据改进区域尺度的显热通量模型

以西北半干旱地区的内蒙古农牧交错地带锡林郭勒盟为研究区,以不同退化程度的草地为研究对象,通过叶面积指数计算各像元的动力传输粗糙度长度,以改进显热通量算法;并结合植被／土壤组分温度分别计算基于亚像元的植被／土壤的显热通量。由敏感性分析和模型验证表明,改进的显热通量算法能够提高区域尺度的能量平衡计算精度。     

临沂市温泉（井）成热机制分析及找热方向研究

临沂市地处鲁西隆起南部,地热资源丰富。该文介绍了临沂市的地层、岩浆岩、构造、地热背景、主要控热断裂及20余眼温泉(井)的情况和分布。通过分析汤头温泉、白塔地热井、汤坊崖地热井、铜井地热井、松山地热井、新村地热井、西高都地热井等主要温泉(井)的控热断裂、成热机制,认为该区地热主要分布在沂沭断裂带与NW向深大断裂交会处,地下水补给多沿NW—SE断裂,热源以深大断裂沟通深部热源,水温、水量较好地热井均处在沂沭断裂带沂水-汤头断裂以西的、控热断裂为张性断裂或的张扭性断裂凹陷区内。结合临沂市区域地质构造特点,认为蒙山断裂与鄌郚-葛沟断裂深部交会处,尼山断裂、峄城断裂与鄌郚-葛沟断裂交会处为地热勘探靶区。     

Tropical Cyclone Genesis Potential Index for Bay of Bengal During Peak Post-Monsoon (October-November) Season Including Atmosphere-Ocean Parameters

Several studies on tropical cyclone genesis potential index (GPI) mainly using atmospheric parameters (relative/absolute vorticity, relative humidity, vertical wind shear, potential instability, vertical velocity etc.) have been reported earlier. Though the ocean plays a vital role in the genesis and intensification of cyclones, no ocean parameter has been included in most of the studies. In this study, we have made an attempt to develop a new GPI for Bay of Bengal during peak post-monsoon (October-November) season including upper ocean heat content (UOHC) using the data for the period 1995–2015. It is found that the new GPI is better correlated with the total number of depressions, cyclones and severe cyclones (TNDC) compared with the existing GPI which was developed for the north Indian Ocean and presently used by India Meteorological Department (IMD), New Delhi. The correlation has significantly enhanced (r=0.86:significant at >99% level) by using the first differences [year(0) –year(?1)] of the time series data. Since, the new GPI which considers atmosphere and ocean (UOHC) parameters, it appears to be more suitable for Bay of Bengal during the peak post-monsoon season.     

Upper Ocean Four-Dimensional Variational Data Assimilation in the Arabian Sea and Bay of Bengal

A regional ocean circulation model with four-dimensional variational data assimilation scheme is configured to study the ocean state of the Indian Ocean region (65°E–95°E; 5°N–20°N) covering the Arabian Sea (AS) and Bay of Bengal (BoB). The state estimation setup uses 10 km horizontal resolution and 5 m vertical resolution in the upper ocean. The in-situ temperature and salinity, satellite-derived observations of sea surface height, and blended (in-situ and satellite-derived) observations of sea surface temperature alongwith their associated uncertainties are used for data assimilation with the regionally configured ocean model. The ocean state estimation is carried out for 61 days (1 June to 31 July 2013). The assimilated fields are closer to observations compared to other global state estimates. The mixed layer depth (MLD) of the region shows deepening during the period of assimilation with AS showing higher MLD compared to the BoB. An empirical forecast equation is derived for the prediction of MLD using the air–sea forcing variables as predictors. The surface and sub-surface (50 m) heat and salt budget tendencies of the region are also investigated. It is found that at the sub-surface, only the advection and diffusion temperature and salt tendencies are important.