天祝-古浪5.4级地震前震源区应力场的短临变化特征

利用矩张量反演方法反演了 1996年 6月 1日天祝 -古浪 5 .4级地震序列的震源机制 ,并与该区小震综合断层面解进行了比较。在此基础上讨论了该地震前后震源区应力场的变化特征。     

福建省同安湾叶绿素的含量

根据1998年2月、5月、8月、11月对同安湾叶绿素a含量的调查,分析了同安湾叶绿素a的季节分布,并估算了初级生产力C的含量,调查结果表明春季的叶绿素a含量为全年最高,范围为2.68 μg/L～16.24 μg/L,平均值为7.22 μg/L,初级生产力C平均为4286.4mg/m2.d;夏季叶绿素a含量为1.03μg/L～5.40 μg/L,平均值为.3.34 μg/L;秋季叶绿素a含量为0.36 μg/L～1.50 μg/L,平均值为0.87μg/L,初级生产力C平均为32.84mg/mg.d;冬季叶绿素a含量为1.11μg/L～2.21μg/L,平均值为1.56 μg/L.本文还将此次调查结果与历史资料作了比较.     

Preliminary study on the dissolved and colloidal organic carbon in the Zhujiang River estuary

ＩＮＴＲＯＤＵＣＴＩＯＮＥｓｔｕａｒｉｅｓｃｏｍｐｒｉｓｅａｍａｊｏｒｂｉｏｇｅｏｃｈｅｍｉｃａｌｉｎｔｅｒｆａｃｅｃｏｎｎｅｃｔｉｎｇｔｈｅｌａｎｄａｎｄｔｈｅｓｅａ (Ｍａｎ ｔｏｕｒａ,1 987) .Ｔｈｅｂｅｈａｖｉｏｒａｎｄｆａｔｅｏｆａｐａｒｔｉｃｕｌａｒｒｉｖｅｒ ｂｏｒｎｅｓｕｂｓｔａｎｃｅｉｎｔｒｏｄｕｃｅｄｉｎｔｏａｎｅｓｔｕａｒｙｉｓｄｅｔｅｒｍｉｎｅｄｔｏａｌａｒｇｅｅｘｔｅｎｔｂｙｔｈｅｂｉｏｇｅｏｃｈｅｍｉｃａｌｐｒｏｐｅｒｔｉｅｓｏｆｔｈｅｓｕｂｓｔａｎｃｅａｓｗｅｌｌａｓｐ…     

浅谈龙兴公司改制发展中施行厂务公开的几点做法

厂务公开是广大员工参与民主决策、民主管理、民主监督的一个有效方法,是加强企业经营管理、增强企业凝聚力和战斗力的重要保证。厂务公开可以更好地引导广大员工始终保持积极向上的精神状态,调动广大员工的积极性和创造性,真心实意地关心企业发展。近几年来,龙兴地勘公司大力实施厂务公开,起到了较好的效果。     

华南桉树人工林芒萁层片的生态筛效应

芒萁是华南退化坡地上最具代表性的先锋种、优势种和关键种,能够快速形成密集的单优种层片结构。与传统阻碍更新的观点不同,野外观察发现芒萁层片内仍有少数物种能够成功定居,被认为具有生态筛效应。文章通过设置4种芒萁层片处理（芒萁层片完全剔除-UR;仅保留地上层-AF;仅保留根毯层-AR;芒萁层片全部保留-CK）,分别在不同处理下移植目标种幼苗并结合土壤性状,探究芒萁层片生态筛效应及其潜在机理。结果发现：1）桉林芒萁根毯层中土壤有机质、全氮、碱解氮、有效磷、速效钾、交换性钠、交换性钙、交换性镁和阳离子交换量均显著高于芒萁红壤层和裸地红壤;2）多数乔木种和草本种在芒萁根毯层保留时无法存活,仅荷木、桃金娘、梅叶冬青和野牡丹等目标种幼苗在保留芒萁根毯层处理（AR和CK）下能够存活与生长。这表明芒萁层片确实具有生态筛效应,且其关键在于根毯层的作用而并非土壤养分改善作用。理论上,芒萁层片（尤其是根毯层）与生态恢复的生物阈值突破密切相关,未来需要进一步解析芒萁根毯层的结构与功能。应用上,华南地区存在大量以芒萁为单优林下植物的人工林类型（如桉林等）,在进行结构优化与林分改造时需注意芒萁的生态筛效应。     

河南春季一次云降水过程的宏微观物理特征分析

云降水的宏微观物理特征的观测和研究,有助于建立典型的云降水多尺度结构模型,为确定科学的人工增雨催化方案提供重要依据。借助于雷达、卫星等多种遥感探测手段,结合飞机的云中观测,对2004年3月31日河南云降水观测外场试验区（31.5-35°N,111-114°E）的一次云降水过程实施了综合探测,综合分析了此次云降水过程的宏微观物理特征。此次云降水系统属于比较典型的低槽、冷锋活动所造成的一次小至中雨过程。根据GOES卫星云图和天气图可以看出,沿锋面云系的后部,有一槽线,它对试验区的降水起主要作用,地面冷锋位于云带的前沿。雷达PPI回波显示为一条窄而长的回波带,宽度较窄,强度不大;RHI显示回波高度不高,回波云顶高度平均在5-6km左右,除存在一些20-30dBz的回波团外,回波强度比较均匀,回波中存在明显的0℃层亮带。这次降水为锋上高积云（Ac）和其下部液水较为丰沛的层积云（Sc）结合而成,在Ac云的4340m（-4.8℃）和3670m（0℃）液态水含量出现高值,分别为0.072g/m^3和0.086g/m^3,在Sc云中的0℃附近液态水含量出现高值。降水形成前,云中粒子谱型主要为单峰型,粒子直径大部分在5-10μm之间变化,大粒子浓度很低,不到0.1个/cm^3,且呈不连续分布,随着云中微物理过程的发展和降水的形成,粒子谱型逐渐转为双峰或多峰型,粒子浓度明显增高,粒子直径逐渐增大。     

Spatial structure and land use control in Extended Metropolitan Region of Zhujiang River Delta,China

The Zhujiang (Pearl) River Delta is one of the most developed Extended Metropolitan Regions (EMR) in China.With the rapid urbanization,the agglomeration of population and industries has emerged,which has led to dramatic changes of spatial structure and land use in this region.With data of high resolution TM remote sensing images and Google Earth maps,this paper identified and analyzed the spatial pattern of the Zhujiang River Delta EMR using Envy and ArcGIS tools.It was found that 1) the industrial land uses were expanding substantially,particularly on the bank sides of the Zhujiang River estuary;2) large-scale housing developments were concentrated in the fringe of metropolitan areas such as those of Guangzhou and Shenzhen;3) a regional transportation network with the spatial pattern of ″1 circle +2 pieces + 3 axes″ had significantly affected the location choice of manufacture enterprises.At the same time,both highly specialized land use and severely mixed land use patterns were identified.As a consequence of the latter,land use efficiency of the whole EMR areas was reduced.Moreover,ecologic and environmental problems were severe.Based on the above analysis,suggestions were given from the viewpoint of spatial safety,land use efficiency,and the reorganization of spatial structure in the Zhujiang River Delta EMR.     

江汉平原东北缘末次冰消期沉积物粒度特征及环境意义

麻城剖面位于江汉平原东北缘山地丘陵与平原过渡带半封闭的宽浅碟形洼地,是江汉平原北缘末次冰消期代表性沉积剖面.沉积环境主要由山麓坡洪积相和沼泽相组成,形成年代为距今18.00～8.60 ka.麻城剖面粒度组成主要以粉砂为主,达60.73％,其中,粗粉砂达40.83％.剖面粒度变化可划分为7个变化阶段.结合剖面的岩性与沉积...     

江西省社会经济数据和土地覆盖时空差异演化

基于江西省遥感影像数据和统计年鉴资料,利用地理信息系统技术(GIS),分析江西省1990—2020年社会经济和土地利用类型的时空差异,以摸清人口、经济和土地利用类型的逐年变化情况。结果表明：1)江西省GDP和人口快速增长,尤其是末期较初期GDP增长了近60倍,经济发展不平衡矛盾减弱。2)以南昌市为中心的环鄱阳湖区域在江西省经济发展中占据主导地位,部分设区市出现不同程度的经济热点区。3)江西省人口与GDP时空变化具有一定的相似性,人口分布密度高的区域GDP相对较高,反之亦然。4)江西省耕地、林地面积总和约占全省国土面积的90%。城乡建设用地面积变化最大,这与社会经济发展有明显关系,各种土地利用类型综合变化速率由大到小依次为城乡建设用地、草地、未利用地、耕地、水域、林地。     

300年来中国森林的变化

Based on historical documents, modern survey and statistics, as well as the result of predecessor studies, the trend and main process of forest dynamics are recognized. The forest area and forest coverage rates for each province of China from 1700 to 1949 are estimated backward by every 50 years. Linking the result with modern National Forest Inventory data, the spatial-temporal dynamics of Chinese forest in recent 300 years （AD 1700-1998） is quantitatively analyzed. The study shows that in recent 300 years, the forest area in current territory of China has declined by 0.95×10^8 hm^2 （or 9.2% of the coverage rate） in total, with a trend of decrease and recovery. Before the 1960s, there was a trend of accelerated descending. The forest area was reduced by 1.66×10^8 hm^2 （or 17% of the coverage rate） in 260 years. While after the 1960s, there has been a rapid increase. The forest area increased by 0.7×10^8 hm^2 （or 8% of the coverage rate） in 40 years. The study also shows that there is a significant spatial difference in the dynamics of forest. The amplitudes of increasing and decreasing in western China are both smaller than the ones in eastern China. During the rapid declining period from 1700 to 1949, the most serious decrease appeared in the Northeast, the Southwest and the Southeast, where the coverage rate in most provinces dropped over 20%. In Heilongjiang Province, the coverage rate dropped by 50%. In Jilin Province, it dropped by 36%. In Sichuan Province and Chongqing Municipality, it dropped by 42%. In Yunnan Province, it dropped by 35%. During the recovery period 1949-1998, the western provinces, municipality and autonomous regions, including Ningxia, Gansu, Inner Mongolia, Sichuan-Chongqing, Yunnan, Tibet, Xinjiang and Qinghai, etc, the increase rates are all below 5%, while the eastern provinces, municipality and autonomous regions （except Heilongjiang, Hubei, Jiangsu-Shanghai） have achieved an increase over 5%, among which the Guangdong-Hainan, Guangxi, Anhui, Beijing-Tianjin-H