基于WARMF模型的杭埠-丰乐河流域水文模拟研究

研究了WARMF模型在杭埠-丰乐河流域(巢湖流域最大支流)的水文模拟适应性能并进行了流域水文系统分析.利用AVSWAT2000模型将流域划分为37个子流域,利用流域地貌-土壤分布对应关系、土壤剖面结构、地下水位埋深等条件,确定了子流域的平面分组与剖面土层结构,较大程度上降低了流域模型参数校准的难度与不确定性.利用2000～2003年的水文观测数据,在参数灵敏度分析基础上,对模型水文参数进行了校准与检验.结果表明,WARMF在研究区具有较好的适应性能.WARMF模型与AVSWAT2000模型的水文模拟结果对比表明,WARMF模型具有更好的日拟合性能.基于模型的模拟结果,在空间尺度上定量分析了流域从降水开始到入湖的水循环过程,在时间尺度上分析了年内降雨、径流的分布及其对应关系.流域概化、模型的校准与检验以及流域水文时空变化的系统分析方法等对流域水文、环境的模拟研究与系统分析具有探索意义.     

松花江下游底栖动物群落结构与水质生物学评价

1999—2005年对松花江下游江南屯断面及支流梧桐河断面进行了11次底栖动物生态调查.调查期间共发现底栖动物39种,其中水生昆虫21种,软体动物12种,环节动物4种,甲壳动物2种.江南屯与梧桐河底栖动物的种类组成呈现显著差异,在发现的39种底栖动物中,仅有14种于两断面都有分布.分布于江南屯断面的主要底栖动物及其出现率为:纹石蚕100%,箭蜓80%,黑龙江短沟蜷80%,钩虾80%,二尾蜉60%,细蜉60%,灯蛾蜉60%,东北田螺60%.分布于梧桐河断面的主要底栖动物及其出现率为:黑龙江短沟蜷100%,东北田螺100%,扁蛭100%,珍珠蚌60%.从栖息密度来看,梧桐河断面中软体动物密度最大, 优势种为东北田螺,江南屯断面则以水生昆虫占优势.此外,两断面的底栖动物数量在不同年份也存在显著变化.水质生物学评价结果表明,梧桐河断面多年处于中污染状态,江南屯断面的污染状况在总体上较梧桐河断面轻,这主要是由于梧桐河断面高负荷的耗氧有机物引起水体中溶解氧含量匮乏,从而导致底栖动物的生存条件严重恶化.      

应急处理苯胺污染水源水的粉末活性炭吸附工艺的研究

以浑河水为原水,模拟突发苯胺污染,通过投加粉末活性炭(PAC)进行应急处理的试验研究.试验结果表明:PAC对苯胺的吸附在30 min内能达到80%～90%的吸附容量;PAC对苯胺的吸附等温线符合弗兰德里希(Freundlich)吸附模式,在苯胺的平衡质量浓度为0.030 mg/L时,PAC对其吸附容量约为5 mg/g;比表面积较大的木屑炭对苯胺的吸附效果比煤质炭好,但粒度以300目左右为宜;炭浆浓度越小对苯胺的吸附效果越好;溶液pH以不小于5为最好;絮凝剂最佳的投加顺序是先投加炭浆然后投加絮凝荆;对突发的浑河水苯胺污染,在取水口处投加PAC是十分有效的应急处理措施.     

"十一五"脱硫计划实施前后长三角地区的硫沉降变化

采用RAINS ASIA模型研究了"十一五"期间长三角地区实施脱硫措施前后硫沉降超临界负荷的变化.结果表明,在90%保证率下,长三角地区硫沉降的临界负荷(以S计,下同)总值为78.38万t/a;2005年该地区硫沉降的超临界负荷总值为27.98万t/a,有45.6%区域面积的硫沉降超过临界负荷;如果不实施脱硫措施,到2010年长三角地区硫沉降超临界负荷的情景将急剧恶化,硫沉降超临界负荷总值将增长18.4%,超临界负荷的区域面积将增加到48.7%;"十一五"脱硫计划如期实施后,2010年长三角地区硫沉降超临界负荷总值将在2005年的基础上下降27.4%,但仍有39.1%的区域面积超过临界负荷,须采取更严格的措施控制硫沉降量.     

饮马河流域长春段污染现状与水环境负荷演变特征

为研究饮马河流域长春段水质污染现状和污染负荷演变特征,以饮马河流域长春段的五个国考断面为水质监测点,通过对国考断面水体水质中含有的COD、NH3-N、TP浓度的检测分析,研究区域的水质污染现状和不同水期对污染负荷的影响规律,同时对2020年各考核断面的污染负荷进行估算.经估算,在2020年,计算单元总的COD负荷年排放...     

乐山市茫溪河流域水环境污染及防治对策

介绍了四川省乐山市茫溪河流域的概况,对该流域水环境污染现状进行分析和评价,同时在对流域污染源调查的基础上得出流域的主要污染为城镇生活污染源.计算了茫溪河的水环境容量,并据此提出水污染总量控制方案.并根据茫溪河流域污染源的实际情况,针对城镇生活污染源、面源和工业污染源的不同特点提出具体的防治对策.     

大辽河水系主要污染物特征分析

对大辽河流域主要污染物CODMn(或CODCr)和氨氮多年时空变化特征进行分析,认为二者浓度在空间上都有从上游到下游显著升高的趋势,年内变化呈现明显的点源特征。     

Dams in the Amazon: Belo Monte and Brazil’s Hydroelectric Development of the Xingu River Basin

Hydroelectric dams represent major investments and major sources of environmental and social impacts. Powerful forces surround the decision-making process on public investments in the various options for the generation and conservation of electricity. Brazil’s proposed Belo Monte Dam (formerly Kararaô) and its upstream counterpart, the Altamira Dam (better known by its former name of Babaquara) are at the center of controversies on the decision-making process for major infrastructure projects in Amazonia. The Belo Monte Dam by itself would have a small reservoir area (440 km²) and large installed capacity (11, 181.3 MW), but the Altamira/Babaquara Dam that would regulate the flow of the Xingu River (thereby increasing power generation at Belo Monte) would flood a vast area (6140 km²). The great impact of dams provides a powerful reason for Brazil to reassess its current policies that allocate large amounts of energy in the country’s national grid to subsidized aluminum smelting for export. The case of Belo Monte and the five additional dams planned upstream (including the Altamira/Babaquara Dam) indicate the need for Brazil to reform its environmental assessment and licensing system to include the impacts of multiple interdependent projects.     

TUGAI: An Integrated Simulation Tool for Ecological Assessment of Alternative Water Management Strategies in a Degraded River Delta

The development of ecologically sound water allocation strategies that account for the needs of riverine ecosystems is a pressing issue, especially in semiarid river basins. In the Aral Sea Basin, a search for strategies to mitigate ecological and socioeconomic deterioration has been in process since the early 1990s. The Geographic Information System–based simulation tool TUGAI has been developed to support the policy determination process by providing a simple, problem-oriented method to assess ecological effects of alternative water management strategies for the Amudarya River. It combines a multiobjective water allocation model with simple, spatially explicit statistical and rule-based models of landscape dynamics. Changes in environmental conditions are evaluated by a fuzzy habitat suitability index for Populus euphratica, which is the dominant species of the characteristic riverine Tugai forests. Water management scenarios can be developed by altering spatiotemporal water distribution in the delta area or the amount of water inflow into the delta. Outcomes of scenario analysis are qualitative comparisons of the ecological effects of different options for a time period of up to 28 years. The given approach utilizes different types of knowledge, from quantitative hydrological data to qualitative local expert knowledge. The main purpose of the tool is to integrate the knowledge in a comprehensive way to make it available for discussions on alternative policies in moderated workshops with stakeholders. In this article, the modules of the tool, their integration, and three hypothetical scenarios are presented. Based on the experience gained when developing the TUGAI tool, we propose that the general framework can be transferred to other areas where tradeoffs in water allocation between the environment and other water users are of major concern. The potential for a simulation tool to structure and inform a complex resource management situation by involving local experts and stakeholders in the development of possible future scenarios will become increasingly valuable for transparent and participatory resource management.     

Great Basin Land Management Planning Using Ecological Modeling

This report describes a land management modeling effort that analyzed potential impacts of proposed actions under an updated Bureau of Land Management Resource Management Plan that will guide management for 20 years on 4.6 million hectares in the Great Basin ecoregion of the United States. State-and-transition models that included vegetation data, fire histories, and many parameters (i.e., rates of succession, fire return intervals, outcomes of management actions, and invasion rates of native and nonnative invasive species) were developed through workshops with scientific experts and range management specialists. Alternative restoration scenarios included continuation of current management, full fire suppression, wildfire use in designated fire use zones, wildfire use in resilient vegetation types only, restoration with a tenfold budget increase, no restoration treatments, and no livestock grazing. Under all the scenarios, cover of vegetation states with native perennial understory declined and was replaced by tree-invaded and weed-dominated states. The greatest differences among alternative management scenarios resulted from the use of fire as a tool to maintain native understory. Among restoration scenarios, only the scenario assuming a tenfold budget increase had a more desirable outcome than the current management scenario. Removal of livestock alone had little effect on vegetation resilience. Rather, active restoration was required. The predictive power of the model was limited by current understanding of Great Basin vegetation dynamics and data needs including statistically valid monitoring of restoration treatments, invasiveness and invasibility, and fire histories. The authors suggest that such computer models can be useful tools for systematic analysis of potential impacts in land use planning. However, for a modeling effort to be productive, the management situation must be conducive to open communication among land management agencies and partner entities, including nonprofit organizations.