乌江流域梯级水库入出库河流中总汞和甲基汞的时空分布

2006年1~12月，每月采集乌江流域梯级水库入出库河流水样，用两次金汞齐-冷原子荧光光谱法和蒸馏-乙基化结合GC CVAFS法测定了水中总汞和甲基汞的浓度。结果表明：（1）入出库河流中总汞年均加权浓度分别为317和 2.34 ng/L，甲基汞为014和 0.18 ng/L。（2）不同水库入出库河流中总汞和甲基汞的时空分布特征不同，位于上游第一级的普定和洪家渡水库入库河流中总汞有明显的季节变化趋势，且显著低于出库河流；而甲基汞的季节变化在出库河流中较为明显，而且库龄大的普定、东风、乌江渡水库出库河流中甲基汞浓度显著高于入库河流。（3）相关分析发现水库入库河流中总汞、甲基汞浓度主要受悬浮颗粒物的影响，而与水量间的相关性因水库所处位置的不同而有差异，上游的普定和洪家渡水库中呈显著正相关，其它水库中呈负相关。     

基于MGWR的黄河流域土壤有机碳密度和影响因素分析

土壤有机碳作为最大陆地碳库,其空间分布特征和影响因素对于全球碳循环过程具有重要影响.基于土壤有机碳密度数据,结合环境因子,使用多尺度地理加权回归（MGWR）模型预测了黄河流域土壤有机碳密度（SOCD）和影响因素.结果表明：①黄河流域0~20 cm和0~100 cm的SOCD范围分别为0~14.82 kg ·m^-2和0~32.39kg ·m^-2,均值分别为3.48 kg ·m^-2和8.07kg ·m^-2,储量则分别为2.76 Pg和6.48 Pg;②各生态系统类型中,0~20 cm的SOCD从大到小依次为：森林>水体与湿地>其他>草地>农田>聚落>荒漠,0~100 cm的SOCD从大到小依次为：水体与湿地>森林>其他>草地>农田>聚落>荒漠,SOCR从大到小皆为：草地>农田>森林>荒漠>水体与湿地>聚落>其他;③黄河流域SOCD的分布主要受常数项、剖面曲率、NDVI和降水的影响,曲率和粉砂对深层的SOCD的分布也具有重要影响;此外,降水、NDVI和常数项（除森林外）是影响各生态系统的主要因素,曲率和粉砂则仅对荒漠和其他生态系统具有重要影响.研究结果得出了黄河流域SOCD的空间分布和影响因素,可为黄河流域碳平衡、土壤质量评价和生态治理恢复与巩固提升提供科学依据.     

我国黑土地农田土壤除草剂残留特征研究及展望

粮食安全是“国之大者”.东北黑土地作为我国重要的粮仓,是保障国家粮食安全的“压舱石”.但黑土地农田除草剂的长期高强度施用,导致除草剂在土壤中积累和迁移,影响土壤质量、作物产量和品质,阻碍黑土地可持续利用和农业可持续发展.解决黑土地农田除草剂残留问题,既要从源头管控除草剂的施用,也要掌握除草剂的残留特征、时空演变和驱动因素,才能做到科学防控、精准施策.系统总结了我国黑土地农田除草剂的施用状况和存在的问题,全面梳理了除草剂的残留现状,指出了当前在黑土地农田除草剂残留特征、空间分布和污染诊断等研究上的不足,提出了我国黑土地农田除草剂残留诊断与风险管理研究思路与重点方向,为保障我国黑土地农田土壤健康、粮食安全和生态系统安全提供科技支撑.     

湟水河流域地表水体微塑料分布、风险及影响因素

为探究我国青藏高原淡水环境中微塑料的分布情况,采用金相显微镜观察、傅里叶红外光谱测定、野外调查和影像数据分析等方法对青海省湟水河流域丰水期63个地表水样中微塑料的分布特征和影响因素进行分析,并依据风险指数（H）和污染负荷（PLI）指数模型评估了微塑料的潜在生态风险.结果表明,流域水体中微塑料丰度范围为665~8780 n ·m^-3,湟源县水系平均丰度最高,达5414 n ·m^-3,各支流丰度从上游到下游逐渐增大.微塑料中薄膜类和颗粒类分别占36%和33%,透明和黑色分别占67%和17%,粒径在0.45~50 μm的占70%,聚乙烯（66%）和聚丙烯（12%）为主要的聚合物类型.微塑料丰度与耕地面积、降水量和紫外线强度正相关,与溶解氧、氧化还原电位和风速显著负相关,微塑料的分布受人类活动和环境因子的共同影响.总体上湟水河流域地表水体中微塑料的潜在生态风险较低.     

人工增雨（雪）效果评估方法探索

人工增雨（雪）常用的评估方法为统计检验和物理检验,统计检验需要大量试验样本,且随机化试验在我国难以实现,大量样本无从获得。物理检验目前主要是雷达观测演变状况和飞机直接观测云内微物理参数,由于技术和能力有限,这些方法都难以实现。为了在人工影响天气作业后尽快得出评估结果供政府及环境保护等部门参考,利用雨滴谱记录数据对一次人工增雪作业后的效果进行了评估,发现这些数据在没有常规降雪记录情况下具有一定的参考价值。从评估结果看,人工增雪作业后,降水强度有明显增大的趋势。     

660MW超超临界燃煤机组袋式除尘器的设计

简介了660MW超超临界燃煤机组袋式除尘器的技术性能参数;阐述了袋式除尘器的设计方案及系统组成,以及除尘器除尘室间的气流分配、除尘室内的气流分布以及气流分布合理的重要性;引用运行数据说明除尘器工艺参数、结构参数、气流分配及气流分布设计的合理性.     

Two-Compartment Sorption of Phenanthrene on Eight Soils with Various Organic Carbon Contents

Sorption characteristics of phenanthrene (PHE) were studied on eight soils with organic carbon contents spanning over an order of magnitude using phase distribution relationships (PDRs) at 1 h, 48 h, and 720 h contact times. A new algebraic method was employed to describe the sorption characteristics at different time intervals (between 1 h and 48 h, and 1 h and 720 h). It was found that nonlinearity increased with increasing contact time and sorption that occurred in the subsequent time interval following the initial 1 h exhibited stronger isotherm nonlinearity. Sorption coefficients were positively correlated with the organic carbon contents of the soils. Detailed sorption dynamics were also examined on these soils. A two-compartment, first-order model was used to describe the sorption dynamics. The rate constants of the two compartments differed 18–170 times, suggesting the dissimilar sorption behaviors of the mathematically separated compartments. These two compartments were labeled fast and slow sorption compartment according to the rate constants. Calculation showed that the fast compartment accounted for over 80% of the overall sorption at the initial 1 h, while the slow compartment predominated the total sorption in the following 47 h. By combining the discussion of PDRs and sorption dynamics, the contributions of the two compartments to linear and nonlinear sorption were differentiated. The slow sorption compartment made a major contribution to nonlinear sorption and possibly to sequestration of organic pollutants by these soils.     

Benthic Fluxes and Pore Water Profiles in the Tigullio Gulf

Diffusive fluxes of elements (NO^-₂, NO^-₃, NH⁺₄, SiO₂, PO^3-₄, Cl^-, SO^2-₄, Fe, Mn) have been measured by applying the Fick's first law in two stations of the Tigullio Gulf: the first one characterized by sandy sediments rich in vegetal detritus and the second one, located to within the tourist harbour, characterized by a silty-clay sediments.

Benthic fluxes were measured only in the second station by means of benthic chamber experiments. Although the significant presence of dissolved oxygen in the surface sediments, and the evidence of processes usually occurring in oxidised sediments such as nitrification, both stations also presented characteristics of anoxic sediments such as high oxygen consumption rate and high pore water concentrations of ion, manganese and N-ammonia and reactive orthophosphate.

In both stations, sediments seemed to represent a potential source for most of the chemical species studied, although fluxes were not confirmed for ion, manganese and reactive orthophosphate in benthic chamber experiments.

Diffusive fluxes presented a general agreement for both stations, with higher fluxes of N-nitrate and N-nitrite at the first station were oxidative processes of N-ammonia in the upper layer of the sediments seemed to be more active. the comparison between diffusive and benthic fluxes showed a possible contribution of bioturbation.     

长江三峡花岗岩地区土壤流失时间分布特性

长江三峡花岗岩地区坡面土壤流失以耕地砂砾化面蚀和有部分植物覆盖坡面的鳞片状面蚀为主，该地土壤流失研究结果表明，由以上两类面蚀导致的土壤流失量月分布与月降雨量的分布基本趋势一致，二者呈现较为明显的线性相关关系。地面坡度＞３０°的裸地土壤流失量达５０００ｔ／ｋｍ３·ａ以上，覆盖度≥０．７０的林地土壤流失量＜５００ｔ／ｋｍ２·ａ，该流域土壤流失量为１５４４．１４ｔ／ｋｍ２·ａ，产沙量为６９４．８６ｔ／ｋｍ２·ａ     

Study on Simulating Spatial Distribution and Varying Patterns of Urumqi＇s Population

In this paper, an approach to simulate the spatial distribution of urban population is proposed using urban land use and population statistical data through the geographical information systems （GIS）. Then, the spatial population distribution of Urumqi as a case is simulated by the approach mentioned above and its varying patterns are analyzed by the raster population surface. As a result, producing raster population surface is more accurate and natural than the traditional choropleth map of population density. Concerning the spatial population distribution of Urumqi, the population density declines from south to north and the population distribution mainly presents＇ ＂T-type＂, the population distribution presents multicentre agglomeration and the population distribution of the districts shows different features. The population density varies significantly with the increase in the distance from central business district （CBD）. Finally, it is found in this paper that the development history of districts, terrain and traffic road are main factors that have an influence Urumqi＇s population distribution. This paper tries to provide more accurate population data for the plan and management of urban land, traffic and public facilities in order to enrich the researches on urban population distribution.