我国精密可控震源主动探测研究进展

精密可控震源对地发射扫频信号,通过高精度的观测系统获得记录资料,采用专门的数据处理方法来提取信号,获得地下介质的信息。介绍现有的一些数据处理方法,比如匹配滤波、反褶积、Wigner-Hough变换和时变滤波等,可以实现可控震源信号提取。并总结这些方法的优缺点。通过多次野外科学实验发现,精密可控震源技术是一种探测地下介质结构及变化的有效途径。针对精密可控震源探测的影响因素,还需要开展深入研究,以便于改善其探测距离和分辨能力。     

石羊河流域降水化学特征时空变化及来源浅析

运用相关分析、因子分析、富集因子和HYSPLIT模型对石羊河流域从2013年7月到2014年7月连续收集降水样品的主要离子浓度特征及来源进行了探讨分析,结果表明,Ca~(2+)和Na~+是主要的阳离子,SO_4~(2-)和NO_3~-是主要的阴离子,石羊河流域的主要降水类型为SO_4~(2-)-NO_3~--Ca~(2+);石羊河流域的总离子浓度的季节大小变化顺序为冬季春季秋季夏季,石羊河流域的降水水化学主要受地壳源和人为源的影响;石羊河流域的降水类型分为季风降水、西风降水和混合降水,而混合降水是石羊河流域的主要降水类型,其次为西风降水,最后为季风降水。     

降水梯度序列下柠条林地土壤养分的空间变异

通过野外实地调查结合室内分析,研究陕西省境内不同降雨条件下的黄土高原同级树龄柠条林地土壤养分。结果表明,研究区土壤养分含量低,养分中有机质和全氮在降水梯度上的空间变异性显著;有机质和全氮含量在土壤剖面上表现为随着土层的加深逐渐减少,全磷含量在土壤剖面上表现为从表层到心土层逐渐降低,从心土层到底层逐渐增加;全钾含量在剖面上的规律与有机质和全氮相反;有机质、全氮、全磷、全钾含量均随着降水梯度的增加而增加;有机质含量与全氮、全钾呈现极显著正相关,与全磷呈现显著正相关关系。     

重庆市骨架公路网规划生态环境影响评价

战略环境评价作为一种促进可持续发展的重要工具,已经得到了广泛的关注。以重庆市骨架公路网规划生态环境影响评价为例,探讨一种基于规划路网与生态要素空间关系的评价方法。将评价要素分为两类,运用地理信息技术识别出规划路网对4种生态组分影响较大的地区和直接受规划路网影响的自然保护区,做出了空间分布图,并针对存在的问题给出了建议和对策,为合理设计和布设路网提供了依据。提出的基于空间位置关系的评价方法将会促进路网规划环境影响评价的开展。     

西洞庭湖鱼类物种多样性及其时空变化

洞庭湖是长江中游现存仅有的两大通江湖泊之一,研究其鱼类资源对了解湖泊通江的生态作用有着重要意义。为此,在2002年9月~2004年6月每月定期定点在西洞庭湖区开展鱼类调查,结果如下：① 实地调查到鱼类111种,隶属9目20科,包括中华鲟、胭脂鱼等珍稀物种;②鱼类物种数年动态波动较大,最高月份达69种,最低为26种,月均50±13种;③物种多样性指数年动态与物种数年动态大体一致,最高达3.34,最低为1.89,月均2.84±0.38;④空间分布上,位于入湖口的调查点物种数和多样性指数高于内湖,且差异有显著性(p<0.05);⑤在数量上,湖泊定居型鱼类占50%以上,其中,鲫数量最多,占16%左右。可见：西洞庭湖作为通江湖泊在鱼类多样性的保护上起到避难所和交流场所的作用;目前,西洞庭湖鱼类在生态组成上,湖泊定居型鱼类比重有逐渐增加的趋势。     

Can Nutrient Spiralling be Used to Detect Seasonal Nutrient Uptake in a Forested Stream?

Nutrient spiralling measurements were conducted in Lyrebird Creek, a forested stream in the Dandenong Ranges, Victoria, Australia. Spiralling indices from several nutrient (, ) enrichment experiments were correlated with seasonal variation in factors thought to control nutrient uptake, i.e., temperature, light and algal biomass. It was hypothesized that nutrient uptake would be higher in summer as increased temperatures would promote both biotic and abiotic processes and higher light levels in summer would stimulate photosynthesis. However, results did not support this hypothesis. Uptake length for and and uptake velocity were not correlated with chlorophyll-a, light or temperature (r ² < 0.30, P > 0.1) despite the seasonality of these biophysical factors (r ² > 0.42, P < 0.02). Lyrebird Creek might had no seasonal trend in nutrient uptake and/or nutrient spiraling measurements only appears suitable for contrasting streams with large differences in biophysical factors that supports biotic and abiotic nutrient processing. In addition, small errors in measuring a nutrient concentration can result in a large range in the estimated S _w and increased difficulty in determining significant differences in nutrient spiralling indices.     

SPATIAL ANALYSIS FOR MONTHLY RAINFALL IN SOUTH FLORIDA1

ABSTRACT: Several methods have been developed to interpolate point rainfall data and integrate areal rainfall data from any network of stations. From previous studies, it can be concluded that models for spatial analysis of rainfall are dependent on topography, area of analysis, type of rainfall, and density of gauging network. The purpose of this study is to evaluate a set of six appropriate models for point and areal rainfall estimations over a 4000 square mile area in South Florida. In this study, a case of developing spatial continuity model for monthly rainfall from a database that had various lengths of records and missing data is documented. The spatial correlation and variogram models for monthly rainfall were developed. Six methods of spatial interpolation were applied and the results validated with historical observations. The results of the study indicate that the multiquadric, kriging, and optimal interpolation schemes are the best three methods for interpolation of monthly rainfall within the study area. The optimal and kriging methods have the advantage of providing estimates of the error of interpolation. The optimal interpolation method uses the spatial correlation function and the kriging method uses the variogram function. The two spatial functions are related. Either of the two methods provide good estimates of monthly point and areal rainfall in the study area.     

辽河三角洲湿地植被生态状况变化特征分析

归一化植被指数（NDVI）是反映植被状况的重要指标,对植被生长和区域生态状况的研究具有重要意义。为探究辽河三角洲植被生态状况变化特征和未来发展趋势,基于1995—2009年的NOAA/AVHRR NDVI和2009—2020年FY3/MERSI NDVI数据,通过修正拟合和S-G滤波法构建了1995—2020年长时间序列NDVI数据集。利用趋势分析法、变异系数和Hurst指数分析辽河三角洲（盘锦地区）NDVI时空分布特征,重点研究了水田和沼泽湿地的植被生态状况变化规律和未来发展趋势。结果表明：（1）从时间变化上看,26 a间辽河三角洲NDVI呈波动增加趋势,年平均增长率为0.32%;NDVI年内呈典型的单峰型分布,最大值出现在7月下旬或8月上旬。（2）从空间变化上看,区域内NDVI呈西南—东北方向递增,最高值主要分布在水田区,次高值分布在沼泽区。（3）绝大部分水田植被逐年变好,且植被生态状况比较稳定,低波动变化区域占96.72%,未来植被生态状况将持续改善的区域占61.05%。（4）沼泽植被逐年变好的区域占97.67%,变好最明显的区域主要分布在南部沿海地区和双台子河口附近,且该区域未...     

Spatial and temporal relationships between precipitation and ANPP of four types of grasslands in northern China

Precipitation is considered to be the primary resource limiting terrestrial biological activity in water-limited regions. Its overriding effect on the production of grassland is complex. In this paper, field data of 48 sites （including temperate meadow steppe, temperate steppe, temperate desert steppe and alpine meadow） were gathered from 31 published papers and monographs to analyze the relationship between above-ground net primary productivity （ANPP） and precipitation by the method of regression analysis. The results indicated that there was a great difference between spatial pattern and temporal pattern by which precipitation influenced grassland ANPP. Mean annual precipitation （MAP） was the main factor determining spatial distribution of grassland ANPP （r^2 = 0.61, P 〈 0.01）; while temporally, no significant relationship was found between the variance of AN PP and inter-annual precipitation for the four types of grassland. However, after dividing annual preeipitation into monthly value and taking time lag effect into account, the study found significant relationships between ANPP and precipitation. For the temperate meadow steppe, the key variable determining inter-annual change of ANPP was last August-May precipitation （r^2 = 0.47, P = 0.01）; for the temperate steppe, the key variable was July precipitation （r^2 = 0.36, P = 0.02）; for the temperate desert steppe, the key variable was April-June precipitation （r^2 = 0.51, P 〈 0.01）; for the alpine meadow, the key variable was last September-May precipitation （r^2 = 0.29, P 〈 0.05）. In comparison with analogous research, the study demonstrated that the key factor determining inter-annual changes of grassland ANPP was the cumulative precipitation in certain periods of that year or the previous year.     

区域地下水污染预警：以巴伊盆地平原区为例

地下水污染预警是区域地下水污染防治的有效手段. 将地下水水质现状、地下水水质变化趋势和地下水污染风险三者耦合的地下水污染预警模型应用于巴里坤-伊吾盆地平原区,实现地下水水质状态预警和趋势预警相结合的区域尺度地下水污染预警研究. 采用基于综合权重的TOPSIS法进行地下水水质现状评价,通过计算得出的18眼原位地下水水质监测井的趋势度插值结果分析地下水水质变化趋势,利用迭置指数法将地下水脆弱性图、地下水污染荷载图和地下水功能价值图空间叠加得到地下水污染风险分布图. 结果表明,研究区地下水水质以良好和较好为主,且2011~2022年间呈稳定状态,地下水污染风险整体较低. 地下水污染预警级别整体较低,重警和巨警区分别占研究区总面积的16.4%和17.5%,主要分布在伊吾县的下马崖乡和巴里坤县的三塘湖镇北部、大红柳峡乡、大河镇,区域内出露的第四系沉积物以砂卵砾石为主,孔隙发育,透水性强,对污染物的截留和吸附能力较弱,工农业和生活产生的污染物易渗漏至地下水含水层,造成地下水水质较差和地下水污染风险较高,最终导致部分区域地下水污染预警级别高. 地下水污染预警研究为开展地下水污染修复提供重要的理论依据.