云南水汞在打破M≥5级地震平静后强震前的异常分析

通过普洱6．3、宁蒗6．2级和姚安6．5级3个在省内M≥5级地震平静了10余个月,打破5级平静后发生的M≥6级强震前水汞的异常分析,并着重短临异常研究,结果表明这3次地震前水汞均有中期和短、临异常,中、短、临异常台站数为两头少,中间多。中期异常表现为11％。22％的水汞观测台站震前出现2—10个月的中期异常;短期异常表现为震前2—3个月,平均44％的台站观测到短期异常,最大异常幅度与异常判定线比值在1．3—3．2倍之间：强震前都只有1个台站出现临震异常。短期异常有差异,宁蒗6．2级主震前,短期异常在2次前震前出现,普洱6．3、姚安6．5级地震前,水汞短期异常在打破5级平静的地震前出现,水汞短期异常有活跃、平静的现象。最早出现中期异常的台站相对靠近震中。     

RS技术在实时区域土壤侵蚀评价中的应用--以福建省花山溪流域为例

传统数据采集方法严重制约了土壤侵蚀评价实时、快速的要求。文章以福建花山溪流域为例,基于“通用土壤侵蚀方程式”(USLE)为土壤侵蚀定量评价模型,利用多时效、多光谱的遥感数据,在ERDAS8．5软件平台上,研究提取流域动态最易变化的植被、土地利用类型等信息的技术方法。研究结果证实,这种方法可以快速、准确地提取影响土壤侵蚀的基本参数．进而实现对区域流域土壤侵蚀的实时评价。     

我国卤水溴资源及其开发前景展望

溴在自然界无独立的矿物 ,呈强分散性稀有元素 ,散布在地壳水圈里 ,以油气田地下卤水、盐湖卤水、矿场盐卤水含溴浓度相对较高。溴在国民经济的用途广泛 ,是我国紧缺物资 ,产不敷消。而我国卤水溴资源分布广泛 ,类型齐全 ,同时常伴有K、B、I、Li等多种有用组分。充分发挥各类卤水溴资源特点 ,提高卤水溴资源综合利用水平 ,其开发前景广阔     

1-（4-硝基苯基）-3-（3，5-二溴吡啶）三氮烯的合成及其与镍的显色反应

合成了1-(4-硝基苯基)-3-(3,5-二溴吡啶)三氮烯(NPDBPDT),并研究了NPD-BPDT与镍的显色反应。在pH 10.0的Na2B4O7-NaOH缓冲溶液介质中,表面活性剂Triton X-100存在下,镍与试剂生成摩尔比为1∶4的络合物在470 nm处有最大正吸收峰,表观摩尔吸光系数为1.02×105L.mol-1.cm-1;在540 nm处有最大负吸收峰,表观摩尔吸光系数为1.15×105L.mol-1.cm-1;以540 nm为参比波长、470 nm为测量波长进行双波长测定,表观摩尔吸光系数为2.17×105L.mol-1.cm-1。镍含量在0~480μg/L内符合比尔定律。方法用于合金样品中镍的测定,结果与原子吸收法相符,加标回收率为98.0%~102.0%;精密度小于5%(RSD,n=6)。     

基于SPOT 5异轨立体像对提取DEM试验与精度评估

介绍了异轨立体像对提取DEM的基本原理和数据处理流程,利用两景影像进行了DEM提取试验,分析了结果的精度,提出了利用卫星立体影像提取DEM这一方法的发展方向。     

东风波诱生低涡发生发展的螺旋度演变特征分析

利用NCEP 1°×1°再分析资料对2001年8月3~4日浙南闽北的东风波暴雨过程,根据螺旋度(Helicity)分析了过程中的暴雨演变以及雁荡山脉诱生中尺度低涡发生发展的原因。同时,利用中尺度有限区域模式MM5V2对该东风波诱生中尺度低涡进行模拟。结果表明:螺旋度大值中心强度和位置的演变较好地反映了暴雨落区和中尺度低涡的诱生、移动,螺旋度的时空演变对暴雨发生有一定的预示意义,螺旋度计算较中尺度模式得出诱生低涡初生位置、路径预报准确率高,二者集成可以提高诱生低涡的预报准确率。     

南半球热带外准半年振荡及IAP 9L AGCM模拟检验

基于1979—2000年的NCEP/NCAR海平面气压和位势高度场资料分析了南半球大气环流的准半年振荡 (半年波) 现象。结果表明:这一现象主要出现在南半球对流层低层的中高纬度和中高层的热带地区。对南半球热带外大气而言, 40°S和65°S是低层大气环流准半年振荡最为显著的两个纬度带, 半年波的贡献都超过了70%, 低层南半球中高纬度海平面气压场季节变化的反位相也主要体现为各自半年波分量变化的反位相。在此基础上, 检验了IAP 9L AGCM (大气物理研究所9层大气环流模式) 对这一现象模拟的能力, 模拟结果显示, 模式成功模拟了65°S处海平面气压场的准半年振荡现象, 其振幅略低于观测结果, 但模式对40°S处气压场准半年振荡的模拟效果较差。     

Numerical Simulation of Long-Term Climate Change in East Asia

A 10-yr regional climate simulation was performed using the fifth-generation PSU/NCAR Mesoscale Model Version 3 (MM5V3) driven by large-scale NCEP/NCAR reanalyses. Simulations of winter and summer mean regional climate features were examined against observations. The results showed that the model could well simulate the 10-yr winter and summer mean circulation, temperature, and moisture transport at middle and low levels. The simulated winter and summer mean sea level pressure agreed with the NCAR/NCEP reanalysis data. The model could well simulate the distribution and intensity of winter mean precipitation rates as well as the distribution of summer mean precipitation rates, but it overestimated the summer mean precipitation over North China. The model's ability to simulate the regional climate change in winter was superior to that in summer. In addition, the model could simulate the inter-annual variation of seasonal precipitation and surface air temperature. Geopotential heights and temperature at middle and high levels between simulations and observations exhibited high anomaly correlation coefficients. The model also showed large variability to simulate the regional climate change associated with the El Nino events. The MM5V3 well simulated the anomalies of summer mean precipitation in 1992 and 1995, while it demonstrated much less ability to simulate that in 1998. Generally speaking, the MM5V3 is capable of simulating the regional climate change, and could be used for long-term regional climate simulation.     

Irrigated area determination: a case study in the Province of San Juan,Argentina

Much of the central-western region of Argentina, where San Juan Province is located, experiences arid to semi-arid climatic conditions with low average annual rainfall accompanied by substantial evapotranspiration. Consequently, a viable crop industry depends to a large extent upon irrigation from major river systems. Increasing demand for water in the lower basin of the San Juan River is emphasizing the need for more accurate estimates of water used for irrigation. Since the water demand for a particular crop is very closely related to crop area, monitoring the area of crop under irrigation is considered a proxy for the amount of water used. Landsat 5 imagery for the growing season, field data and aerial photographs were used to evaluate crop area.     

Non-destructive estimation of potato leaf chlorophyll from canopy hyperspectral reflectance using the inverted PROSAIL model

Optimizing nitrogen (N) fertilization in crop production by in-season measurements of crop N status may improve fertilizer N use efficiency. Hyperspectral measurements may be used to assess crop N status by estimating leaf chlorophyll content. This study evaluated the ability of the PROSAIL canopy-level reflectance model to predict leaf chlorophyll content. Trials were conducted with two potato cultivars under different N fertility rates (0–300 kg N ha⁻¹). Canopy reflectance, leaf area index (LAI) and leaf chlorophyll and N contents were measured. The PROSAIL model was able to predict leaf chlorophyll content with reasonable accuracy later in the growing season. The low estimation accuracy earlier in the growing season could be due to model sensitivity to non-homogenous canopy architecture and soil background interference before full canopy closure. Canopy chlorophyll content (leaf chlorophyll content × LAI) was predicted less accurately than leaf chlrophyll content due to the low estimation accuracy of LAI for values higher than 4.5.