珠江三角洲土地利用变化对特征大气污染物扩散的影响

在珠江三角洲两种下垫面条件下,应用CALPUFF大气污染扩散模式,对特征污染物SO2、SO42-的扩散进行数值模拟,探讨大规模土地利用变化,尤其是城镇建设用地增加,对珠江三角洲地区大气污染物扩散的影响,并通过对4个典型区污染物月均质量浓度变化特征分析,揭示土地利用变化对不同地区的污染物分布的影响机制。模拟结果表明：土地利用变化,尤其是城镇建设用地增加,不利于污染物扩散,污染源下风方向地区受影响较大,污染物质量浓度明显升高,SO2和 SO42-年均质量浓度分别增加14.07%和3.31%;受影响范围、变化幅度与污染源排污强度呈正相关,变化幅度亦与污染源距离远近呈负相关。土地利用变化后,尤其是城镇建设用地增加,四个典型区 SO2月均质量浓度都表现为升高趋势,且冬季 SO2质量浓度升高幅度最大,夏季升高幅度最小,临近污染源密集区的两个典型区SO2月均质量浓度分别增加33.6%和26.3%。土地利用变化不仅改变局地的污染扩散,也会对区域的污染扩散有一定影响,尤其对污染源分布密集区的大气污染物扩散影响强度最大。因此,建议人类在城市化建设过程中尽可能保留自然斑块,消除人工下垫面对污染物扩散的负面影响。     

紫外光催化氧化在污水处理厂除臭工程中的应用

通过采用合适的构筑物加盖形式,设计合理的换气次数,采用自行研制的紫外光催化氧化设备处理广东某污水处理厂产生的恶臭气体,运行结果表明:该设备具有除臭效率高、操作简单、阻力小及不产生二次污染的优良性能;该工艺对产生恶臭的物质均能达标排放,且占地少,投资省,适合用于城镇污水处理厂除臭工程,具有良好的经济效益和广阔的发展前景。     

A multi-scale approach to modelling spatial and dynamic ecological patterns for reservoir's water quality management

With growing levels of urbanization and agriculture throughout the world, it is increasingly important that both research and management efforts take into account the effects of this widespread landscape alteration and its consequences for natural systems. Freshwater ecosystems, namely reservoirs, are particularly sensitive to land use changes. In this context, modelling can be very useful, for decision support, as an investigative tool to forecast the outcome of various scenarios, to guide current management in order to meet future targets and to develop integrated frameworks for management accordingly to the Water Framework Directive (WFD). The present paper examined the applicability of a holistic Stochastic-Dynamic Methodology (StDM), coupled with a Cellular Automata (CA) model, in capturing how expected changes at land use level will alter the ecological status of lentic ecosystems, namely at physicochemical and biological levels. The methodology was applied to Portuguese reservoirs located in the Douro's basin and illustrated with a series of stochastic-dynamic and spatial outputs taking into account expected scenarios regarding land use changes. Overall, the simulation results are encouraging since they seem to demonstrate the tool reliability in capturing the stochastic environmental dynamics of the selected metrics facing spatial explicit scenarios. The ultimate goal was to couple monitoring assessment and the described modelling techniques to ease management and decision making regarding the practical implementation of the WFD, both at the scale of the reservoir body and at the scale of the respective river watershed dynamics.     

典型岩溶区不同土地利用方式下雨季、旱季岩溶作用研究

2006年4月-2007年4月,通过野外溶蚀标准试片法,测试得出重庆金佛山岩溶区山腰碧潭泉和山顶水房泉两泉域5种典型土地利用方式下的6个测试点雨季和旱季溶蚀量.测试结果表明:雨季溶蚀量明显高于旱季,位于生态保护良好的山顶原始生态区测试点溶蚀率高于保护区、非保护区交界地带且受人类活动影响较大的山腰测试点;同一时段内不同土地利用方式下的测试点溶蚀速率也存在较大差异;6个测试点的年均溶蚀量由大到小依次为:水房泉竹林地>水房泉林地>水房泉草地>碧潭泉林地>碧潭泉灌草丛>碧潭泉耕地.从测试点的土壤基本理化性质分析得出,在研究区域内局地气候(降雨量、温度)影响的基础上,除了土壤CO_2浓度,土壤有机质也是控制两泉域岩溶速率的主要因素之一.     

基于土壤酶总体活性评价铅锌尾矿砂坍塌区土壤重金属污染

为探讨利用土壤酶总体活性表征铅锌尾矿砂造成的土壤重金属污染程度,本文对阳朔思的村水稻田、柑橘园和玉米地土壤中铅、锌、铜、镉的有效态质量分数以及参与土壤碳、氮、磷循环的纤维素酶、蔗糖酶、脲酶、蛋白酶和酸性磷酸酶活性进行了测定。结果表明：供试土壤中镉、铅、锌的有效态质量分数（分别为2.39-4.42、173.71-221.66、140.11-244.10 mg＆#183; kg-1）均高于其全量在GB15618-1995《土壤环境质量标准》中的Ⅱ级标准,分别是Ⅱ级标准值的9.56-14.73、2.18-2.77、0.77-1.22倍,并且土壤中有效态镉带来的潜在生态风险最高。为进一步评价铅锌尾矿砂给不同土地利用类型土壤带来的生态环境风险,在对土壤重金属有效态质量分数进行归一化处理后,发现土壤重金属污染程度从高到低依次为水稻田、柑橘园、玉米地。由于土壤中的重金属复合污染物铅、锌、铜、镉对土壤酶活性的影响既有抑制作用,又有激活作用,因此不同土地利用类型下的单一土壤酶活性状态与土壤所遭受的重金属污染程度呈现出不一致的变化规律。而以土壤总体酶活性指数对各样本进行分类,发现水稻田、柑橘园、玉米地的土壤总体酶活性指数分别为4.345、5.153、5.502,其结果与以重金属有效态归一化处理之后获得的综合污染指数划分结果呈反比,从而说明利用土壤总体酶活性指数来表征不同土地利用类型下的土壤重金属综合污染状况是切实有效的。     

京杭大运河无锡段水质和土地利用的响应关系

以京杭大运河无锡段2003年7月和12月两景SPOT-5正射影像为数据源,结合断面水质数据,利用基于最小二乘法的多元回归方法,建立了枯水期和丰水期水质参数与土地利用的响应模型。结果表明:以监测断面为中心的缓冲区距离的空间变化与水质监测指标之间有很明显的响应关系,建立的模型显示,丰水期DO、CODMn、BOD5、TN和TP的最大响应宽度分别为100、100、300、200和100 m,枯水期的最大响应宽度则为500、200、300、400和200 m。运河的水质污染主要受离河岸较近的土地利用结构的影响,耕地上产生的农业污水、商业和工业中的废水以及大面积裸地上居民生活垃圾和建筑垃圾产生的污水是导致京杭大运河无锡段水质恶化的重要原因。     

Understanding the effects of rainfall on elephant-vegetation interactions around waterholes

The distribution of surface water affects herbivore-vegetation interactions in arid and semi-arid regions. Limited access to surface water typically results in the emergence of vegetation gradients around natural and artificial water sources. In particular, African elephants can create large-scale gradients of woody vegetation. Understanding the dynamics of these gradients is of particular importance for the conservation of other, less mobile herbivores that depend on woody vegetation in areas close to water. While rainfall is known to be a key determinant of herbivore-vegetation interactions in dry areas, we only have limited understanding on how it impacts woody vegetation gradients around waterholes. To address this problem, we developed a deterministic simulation model that describes the interplay of rainfall, elephants and woody vegetation in the vicinity of waterholes. The model is based on elephant telemetry data and the ecological conditions in Etosha National Park (ENP), Namibia. We found that decreasing amounts of rainfall led to an increased degradation of woody vegetation, which was particularly severe in areas close to water. Based on this result we conclude that low rainfall was an important driver of recently observed patterns of vegetation degradation in ENP. More generally, rainfall appears to be a key factor that determines elephant-vegetation interactions and thus dynamics of woody vegetation gradients around waterholes. Using long-term rainfall data from ENP, we also demonstrate that an increase in the number of water sources during periods of low rainfall can mitigate the destructive impact of elephants in areas close to water. However, more research is required to assess the sustainability and effectiveness of rainfall-adapted strategies of artificial water provisioning in more detail. In particular it is important to investigate potential effects on elephant population dynamics.     

利用TM图像逐级分类提取非点源信息

探讨了运用逐级分类从TM图像中提取与非点源污染有关的土地利用信息的方法.研究表明,逐级分类与一般的最大似然度分类相比效果更佳,具有简化复杂问题、突出研究重点和方法灵活等优点,能够快速有效地提取所需要的信息.     

Factors influencing scaling up of agroforestry-based spatial land-use integration for soil fertility management in Arsamma Watershed,Southwestern Ethiopian Highlands

This study was set to examine factors influencing agroforestry upscaling, inter-plot natural fertilizer transfer and inter-plot income flow in Arsamma watershed. A semi-structured questionnaire was used to gather necessary information. Contingency table, chi-square, Phi and Cramer's V were used to analyze the data. Access to seedlings was the most important determinant of agroforestry upscaling; and farmers' production orientation, farm size and wealth status ranked, respectively, second, third and fourth. Inter-plot natural fertilizer transfer was primarily influenced by participation in agricultural extension. Wealth status and livestock size ranked, respectively, second and third in influencing inter-plot natural fertilizer transfer. The study indicated a geographic concept of spatial land-use integration for soil fertility management and key factors influencing agroforestry-based land-use integration. Agroforestry-centered diversified small-scale agricultural commercialization, tree-crop-livestock integration, agricultural extension services promotion and multi-purpose tree species supply are the way out to upscale agroforestry and agroforestry-based spatial land-use integration.