金属对催化还原DDT的降解产物及其反应机制的研究

本报告介绍DDT经金属对处理后降解产物的分析鉴定和有关反应机制的初步研究。 降解产物主要是用气相色谱—质谱联用分析鉴定的。水溶液中的DDT用Cu-Zn金属对还原其降解产物经鉴定是DDD、DDMS、DDE_t,它们是DDT分子脱去烷基碳原子上不同数目的氯原子的产物。而在Cu-Fe金属对作用下,水溶液中的DDT的还原则是同时得到四种不同类型的产物。它们是DDT脱去烷基碳原子上的1个和3个氯原子的DDD和DDE_t;DDT脱氯、氧化产物DBP和DBH;DDT脱去HCI生成的DDE;两个DDT分子二聚脱氯的产物TTTB和TTDB。 实验证明金属对对DDT的作用是催化还原反应,金属对起着催化剂和还原剂双重作用。通过实验结果对DDT在金属对作用下的反应机制进行了初步探讨。     

气象卫星遥感在干旱监测中的应用

本文根据ＮＯＡＡ极轨气象卫星ＡＶＨＲＲ资料计算生成植被指数相对距平图用于旱情监测，并在江苏省１９９４年特大干旱中进行了应用服务     

扑救山火有讲究

秋冬季节降水偏少．风干物燥，加上秋冬季农事野外生产生活用火多，稍有不慎就会引发森林火灾。因此，必须加强火源管理．做好森林防火．     

Monitoring and identification of spatiotemporal landscape changes in multiple remote sensing images by using a stratified conditional Latin hypercube sampling approach and geostatistical simulation

This study develops a stratified conditional Latin hypercube sampling (scLHS) approach for multiple, remotely sensed, normalized difference vegetation index (NDVI) images. The objective is to sample, monitor, and delineate spatiotemporal landscape changes, including spatial heterogeneity and variability, in a given area. The scLHS approach, which is based on the variance quadtree technique (VQT) and the conditional Latin hypercube sampling (cLHS) method, selects samples in order to delineate landscape changes from multiple NDVI images. The images are then mapped for calibration and validation by using sequential Gaussian simulation (SGS) with the scLHS selected samples. Spatial statistical results indicate that in terms of their statistical distribution, spatial distribution, and spatial variation, the statistics and variograms of the scLHS samples resemble those of multiple NDVI images more closely than those of cLHS and VQT samples. Moreover, the accuracy of simulated NDVI images based on SGS with scLHS samples is significantly better than that of simulated NDVI images based on SGS with cLHS samples and VQT samples, respectively. However, the proposed approach efficiently monitors the spatial characteristics of landscape changes, including the statistics, spatial variability, and heterogeneity of NDVI images. In addition, SGS with the scLHS samples effectively reproduces spatial patterns and landscape changes in multiple NDVI images.     

苏州市工业用地地表径流污染特性研究

对苏州新区枫桥工业园湘江路段的10场有效降雨事件的地表径流污染特性进行了研究.研究表明.地表径流水质参数COD、SS、NH3-N、TN、TP均服从对数正态分布,在95%置信水平下,SS与COD、TP、TN之问存在线性相关性(R=0.45～0.72).统计了污染物事件平均浓度(EMC),COD、SS、NH3-N、TN、TP的EMC中值分别为213、491、2.65、5.19、1.07 mg/L,相对应的单位面积污染物负荷分别为1 898、4 375、24、46、10 kg/(hm2·a).与韩国Chongju工业区和上海市相比,SS负荷高是苏州新区枫桥工业园地表径流水质的主要特点,削减SS负荷对控制其非点源污染具有重要意义.     

Analyzing the Impacts of Dams on Riparian Ecosystems: A Review of Research Strategies and Their Relevance to the Snake River Through Hells Canyon

River damming provides a dominant human impact on river environments worldwide, and while local impacts of reservoir flooding are immediate, subsequent ecological impacts downstream can be extensive. In this article, we assess seven research strategies for analyzing the impacts of dams and river flow regulation on riparian ecosystems. These include spatial comparisons of (1) upstream versus downstream reaches, (2) progressive downstream patterns, or (3) the dammed river versus an adjacent free-flowing or differently regulated river(s). Temporal comparisons consider (4) pre- versus post-dam, or (5) sequential post-dam conditions. However, spatial comparisons are complicated by the fact that dams are not randomly located, and temporal comparisons are commonly limited by sparse historic information. As a result, comparative approaches are often correlative and vulnerable to confounding factors. To complement these analyses, (6) flow or sediment modifications can be implemented to test causal associations. Finally, (7) process-based modeling represents a predictive approach incorporating hydrogeomorphic processes and their biological consequences. In a case study of Hells Canyon, the upstream versus downstream comparison is confounded by a dramatic geomorphic transition. Comparison of the multiple reaches below the dams should be useful, and the comparison of Snake River with the adjacent free-flowing Salmon River may provide the strongest spatial comparison. A pre- versus post-dam comparison would provide the most direct study approach, but pre-dam information is limited to historic reports and archival photographs. We conclude that multiple study approaches are essential to provide confident interpretations of ecological impacts downstream from dams, and propose a comprehensive study for Hells Canyon that integrates multiple research strategies.     

Volunteer Macroinvertebrate Monitoring: Tensions Among Group Goals,Data Quality,and Outcomes

Volunteer monitoring of natural resources is promoted for its ability to increase public awareness, to provide valuable knowledge, and to encourage policy change that promotes ecosystem health. We used the case of volunteer macroinvertebrate monitoring (VMM) in streams to investigate whether the quality of data collected is correlated with data use and organizers' perception of whether they have achieved these outcomes. We examined the relation between site and group characteristics, data quality, data use, and perceived outcomes (education, social capital, and policy change). We found that group size and the degree to which citizen groups perform tasks on their own (rather than aided by professionals) positively correlated with the quality of data collected. Group size and number of years monitoring positively influenced whether a group used their data. While one might expect that groups committed to collecting good-quality data would be more likely to use it, there was no relation between data quality and data use, and no relation between data quality and perceived outcomes. More data use was, however, correlated with a group's feeling of connection to a network of engaged citizens and professionals. While VMM may hold promise for bringing citizens and scientists together to work on joint conservation agendas, our data illustrate that data quality does not correlate with a volunteer group's desire to use their data to promote regulatory change. Therefore, we encourage scientists and citizens alike to recognize this potential disconnect and strive to be explicit about the role of data in conservation efforts.