流域开发的外部性及其内部化

流域是地表水的集水区域。流域问题的本质是水。水是可持续发展的基础和条件，是环境与发展问题的核心。流域开发是以水资源为先导和主体的综合资源开发。实现流域经济可持续发展实质就是实现流域水资源可持续开发和利用。外部性是流域开发的基本特征，水资源的特性决定了流域开发的外部性。实现流域开发的外部性内部化是流域经济可持续发展的关键。实现流域开发外部性内部化，必须界定流域资源产权，明确流域开发主体；建立税收－补贴体系，对水资源合理定价；坚持“排污者付费原则”；建立流域水资源市场，实现水资源资产化管理。同时，政府要加强流域的管理；建立健全水资源保护与流域开发的法律体系；普及保护环境和水资源的教育，建立节水观念；支持和鼓励流域开发企业实行外部成本内部化措施；调整产业结构，深化国有企业改革。     

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.     

快速城镇化进程中城市河流污染治理问题研究

城市河流是城市的生命线,对于当地经济发展和居民身心健康均有不可替代的重要作用。通过分析我国城市河流污染的总体现状发现,我国城市河流治污面临着城市化进程、区域利益分化、职能部门能力缺失等困境,以此为前提,分别从树立正确的城市河流治污观念、设立流域综合管理机构、预防为主和防控结合、建立科学合理的城市河流生态系统修复模式几方面提出完善对策。     

Uncertainty Models for Estimates of Physical Characteristics of River Segments Over Large Areas

Spatially comprehensive estimates of the physical characteristics of river segments over large areas are required in many large‐scale analyses of river systems and for the management of multiple basins. Remote sensing and modeling are often used to estimate river characteristics over large areas, but the uncertainties associated with these estimates and their dependence on the physical characteristics of the segments and their catchments are seldom quantified. Using test data with varying degrees of independence, we derived analytical models of the uncertainty associated with estimates of upstream catchment area (CA), segment slope, and mean annual discharge for all river segments of a digital representation of the hydrographic network of France. Although there were strong relationships between our test data and estimates at the scale of France, there were also large relative local uncertainties, which varied with the physical characteristics of the segments and their catchments. Discharge and CA were relatively uncertain where discharge was low and catchments were small. Discharge uncertainty also increased in catchments with large rainfall events and low minimum temperature. The uncertainty of segment slope was strongly related to segment length. Our uncertainty models were consistent across large regions of France, suggesting some degree of generality. Their analytical formulation should facilitate their use in large‐scale ecological studies and simulation models.     

基于环境一号卫星的四川盆地气溶胶光学厚度精细化反演

四川盆地为中国灰霾形势较为严重的区域之一,对四川盆地大气灰霾的监测具有十分重要的意义。利用环境一号卫星数据,对能表征大气污染程度的气溶胶光学厚度进行了反演。提出了用EVI植被指数判定暗像元精细化反演气溶胶光学厚度的方法,该方法能较好地去除部分大气影响,气溶胶光学厚度反演结果与CE318的气溶胶光学厚度结果相关性较高,误差较小,具有较高的精度,反演结果满足精细化要求。反演结果表明,四川盆地内有德阳、成都、眉山和乐山4个气溶胶光学厚度高值区,该高值区呈带状分布且与四川盆地的地形密切相关。     

Dramatic decline of observed atmospheric CO2 and CH4 during the COVID-19 lockdown over the Yangtze River Delta of China

The temporal variation of greenhouse gas concentrations in China during the COVID-19 lockdown in China is analyzed in this work using high resolution measurements of near surface △CO₂, △CH₄ and △CO concentrations above the background conditions at Lin'an station (LAN), a regional background station in the Yangtze River Delta region. During the pre-lockdown observational period (IOP-1), both △CO₂ and △CH₄ exhibited a significant increasing trend relative to the 2011-2019 climatological mean. The reduction of △CO₂, △CH₄ and △CO during the lockdown observational period (IOP-2) (which also coincided with the Chinese New Year Holiday) reached up to 15.0 ppm, 14.2 ppb and 146.8 ppb, respectively, and a reduction of △CO₂/△CO probably due to a dramatic reduction from industrial emissions. △CO₂, △CH₄ and △CO were observed to keep declining during the post-lockdown easing phase (IOP-3), which is the synthetic result of lower than normal CO₂ emissions from rural regions around LAN coupled with strong uptake of the terrestrial ecosystem. Interestingly, the trend reversed to gradual increase for all species during the later easing phase (IOP-4), with △CO₂/△CO constantly increasing from IOP-2 to IOP-3 and finally IOP-4, consistent with recovery in industrial emissions associated with the staged resumption of economic activity. On average, △CO₂ declined sharply throughout the days during IOP-2 but increased gradually throughout the days during IOP-4. The findings showcase the significant role of emission reduction in accounting for the dramatic changes in measured atmospheric △CO₂ and △CH₄ associated with the COVID-19 lockdown and recovery.     

Effect of Widespread Agricultural Chemical Use on Butterfly Diversity across Turkish Provinces

Although agricultural intensification is thought to pose a significant threat to species, little is known about its role in driving biodiversity loss at regional scales. I assessed the effects of a major component of agricultural intensification, agricultural chemical use, and land‐cover and climatic variables on butterfly diversity across 81 provinces in Turkey, where agriculture is practiced extensively but with varying degrees of intensity. I determined butterfly species presence in each province from data on known butterfly distributions and calculated agricultural chemical use as the proportion of agricultural households that use chemical fertilizers and pesticides. I used constrained correspondence analyses and regression‐based multimodel inference to determine the effect of environmental variables on species composition and richness, respectively. The variation in butterfly species composition across the provinces was largely explained (78%) by the combination of agricultural chemical use, particularly pesticides, and climatic and land‐cover variables. Although overall butterfly richness was primarily explained by climatic and land‐cover variables, such as the area of natural vegetation cover, threatened butterfly richness and the relative number of threatened butterfly species decreased substantially as the proportion of agricultural households using pesticides increased. These findings suggest that widespread use of agricultural chemicals, or other components of agricultural intensification that may be collinear with pesticide use, pose an imminent threat to the biodiversity of Turkey. Accordingly, policies that mitigate agricultural intensification and promote low‐input farming practices are crucial for protecting threatened species from extinction in rapidly industrializing nations such as Turkey. Efectos del Uso Extensivo de Agroquímicos sobre la Diversidad de Mariposas en Provincias Turcas     

甘肃河西内陆河流域社会化水资源稀缺评价

水资源稀缺是我国经济社会发展所面临的严重制约因素。水资源稀缺评价是水资源管理中最基础性的工作。借助Karshenas模型对资源利用同经济发展之间的关系进行了诠释；在界定水资源管理阶段的基础上。引入社会适应性能力概念。着重论述了其内在结构及其度量指标。从而将水资源稀缺问题拓展到了社会经济领域。强调社会资源在水资源稀缺评价中的作用。同时。建立社会化水资源稀缺指数。并以甘肃省河西内陆河流域五市为例进行了实证研究．结果表明：嘉峪关市由于相对较高的社会适应性能力。其社会化水资源稀缺程度指数的相对排序得到改善；而武威市则因相对较低的社会适应性能力。社会化水资源稀缺指数的排序有所降低；金昌市和张掖市尽管社会化水资源稀缺指数的相对排序没有变化。但由于考虑了社会适应性能力。水资源稀缺程度得到有效的缓解。社会化水资源稀缺指数更能如实反映水资源状况。社会适应性能力是一种重要的资源。对缓解水资源紧缺程度具有重要的作用。     

Assessment of the Water Quality of the River Arno in the Area of Florence, Italy

The quality of the waters collected from R. Arno was examined in the period September 1988 to December 1989. A first campaign in September/October 1988, during a period of low water, gives a general picture of pollution conditions along the river from the source to the mouth. the river appears to be heavily polluted immediately downstream of Florence and in the area of the textile industry.

In the second campaign, through the whole year 1989, particular attention has been given to the Florence area; the most significant results, compared with those from a previous investigation carried out in 1971, show only a small reduction of the pollution load, due to the shortage and inadequacy of wastewater depuration. Some considerations are reported on pollution drop with full spate.