Mitigating Impact of Devils Lake Flooding on the Sheyenne River Sulfate Concentration

Devils Lake is a terminal lake located in northeast North Dakota. Because of its glacial origin and accumulated salts from evaporation, the lake has a high concentration of sulfate compared to the surrounding water bodies. From 1993 to 2011, Devils Lake water levels rose by ~10 m, which flooded surrounding communities and increased the chance of an overspill to the Sheyenne River. To control the flooding, the State of North Dakota constructed two outlets to pump the lake water to the river. However, the pumped water has raised concerns about of water quality degradation and potential flooding risk of the Sheyenne River. To investigate these perceived impacts, a Soil and Water Assessment Tool (SWAT) model was developed for the Sheyenne River and it was linked to a coupled SWAT and CE‐QUAL‐W2 model that was developed for Devils Lake in a previous study. While the current outlet schedule has attempted to maintain the total river discharge within the confines of a two‐year flood (36 m³/s), our simulation from 2012 to 2018 revealed that the diversion increased the Sheyenne River sulfate concentration from an average of 125 to >750 mg/L. Furthermore, a conceptual optimization model was developed with a goal of better preserving the water quality of the Sheyenne River while effectively mitigating the flooding of Devils Lake. The optimal solution provides a “win–win” outlet management that maintains the efficiency of the outlets while reducing the Sheyenne River sulfate concentration to ≤600 mg/L.     

土地利用/覆盖变化对长江上游非点源污染影响研究

在国内外相关研究的基础上,利用输出系数模型,结合RS和GIS技术,对长江上游的非点源污染负荷进行了空间模拟和负荷估算.模拟结果表明,在不考虑流域损失的前提下,由于土地利用造成的非点源污染负荷TN总量从20世纪70年代的123万t下降至2000年的116万t,基本呈逐年减少的趋势,由土地利用造成的TP的变化趋势与TN基本相同,从70年代的3.7万t下降到2000年的3.5万t左右.就省份、土地利用类型和水系而言,四川省、种植用地和草地以及金沙江水系和嘉陵江水系对长江上游的非点源污染贡献较大.在非点源污染负荷强度上,重庆市和嘉陵江水系单位面积负荷最高,是今后应重点治理的地区.结果表明,该模型可以对长江上游这样的超大尺度空间的非点源污染进行较好的空间模拟.     

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.     

滇池流域磷循环系统的物质流分析

研究营养元素在社会经济系统中的物质代谢结构及特征,是有效预防和控制地表水体富营养化的关键性分析技术之一.以滇池流域磷循环为研究案例,运用物质流分析方法建立了2000年流域静态物质流模型(PHOSFAD),并在此基础上识别出流域磷循环系统的总体结构特征,以及资源开采、化工生产、农业种植、畜禽养殖、居民生活等生产和消费部门的物质利用效率特征,为科学防治滇池水体富营养化提供了重要决策依据和参考.     

辽河流域河流栖息地评价指标与评价方法研究

建立了由底质、栖息地复杂性、速度-深度结合特性、堤岸稳定性、河道变化、河水水量状况、植被多样性、水质状况、人类活动强度和河岸土地利用类型所构成的河流栖息地评价指标体系,确定了各指标的等级划分以及栖息地综合指数的计算方法.结合2005年辽河流域河流生态调查结果,对流域内所调查的28个河段的栖息地质量状况进行了具体评价,并进一步分析了河道栖息地综合指数与河流理化因子、底栖生物以及小流域土地利用状况的相关关系.结果表明:①辽河流域28个河段的栖息地质量状况差异显著,其中10个河段达到了较好等级以上,6个仅为中等水平,12个河段为较差等级以下;②栖息地质量与理化因子、底栖生物指标具有显著相关性,表明栖息地质量是影响水质与生物状况的重要因素;③小流域的人类未利用土地比例与栖息地质量显著相关,表明小流域土地利用程度对栖息地环境质量影响较大,是恢复与保护河流栖息地质量的重要条件.     

辽宁省辽河流域污染现状与对策

分析辽河流域地表水、地下水及水库水质现状,从保证生态需水、提高水体自净能力出发提出了适当减小开发利用率和合理安排工业布局等措施,并提出了污染物总量控制、加强工业点源与农业面源污染的综合治理,针对辽河流域地表水质已经严重污染的事实提出了实施水生态修复工程的建议。     

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...     

明清时期南阳盆地的交通与城镇经济发展

交通是一个地区城镇经济发展至关重要的因素。明清时期 ,南阳盆地形成了以丹水、湍水、白河、唐河为主干的水路网和以方城路、三鸦路、商洛路、邓州路、桐柏路为主干的陆路网。盆地内星星点点的城镇分布其上 ,或通过水路 ,或依靠陆路 ,或水陆联动 ,以致货物聚集 ,商品经济迅速发展。后来 ,不少城镇则随着交通线路的兴衰而消长。探讨这一变迁过程 ,对于充分开发利用该区域的国土资源 ,进行合理的区域和城镇发展规划 ,促进当时经济建设 ,当有裨益。     

长江上游山丘区土地承载力研究与评价——以四川省宜宾市为例

我国是一个以山地为主的国家,耕地有限且以山丘坡耕地为主,协调人地关系非常重要.以四川省宜宾市为例,通过土地资源生产潜力和人口数量预测模型的建立,采用环境容量等级系数计算和等级划分方法,对基于水土流失和生态工程建设作用下的长江上游流域山丘区土地利用类型与格局的变化及其它人类活动对土地承载力的影响进行了研究与评价.研究结果表明,宜宾市土地资源的生产潜力在2010、2015、2020年时总体上都能承载3种生活类型条件下的人口数量,3种生活类型下的容量等级基本都在"3"以上,即达到"满足"水平,并呈现出向"富余"水平提高的趋势,这表明尚具有较大潜力和空间的土地承载力是宜宾区域经济发展的有利驱动因素,人类活动对土地承载力产生的影响在可承受的生态阈值之内,为长江上游流域及我国广大山丘地区的生态环境建设和区域发展提供了可靠依据.     

大型水利工程对洞庭湖区水资源开发利用的影响

洞庭湖区北靠长江,南汇湘、资、沅、澧四水,水资源总量相对丰富,然而近年来在气候变化与人类活动的双重驱动下,开始呈现"旱涝并存、旱涝交替"的特征,水资源供需矛盾逐渐加剧。为探讨上游大型水利工程(主要为三峡工程与四水流域控制性枢纽工程)的运行对洞庭湖区水资源开发利用的影响,结合近50a来长江干流及四水水位与水资源情势的演变规律和总体趋势,对比分析了不同时间节点下洞庭湖区水位与水资源总量的年际、年内变化特征,以期从众多的影响因子中辨识出大型水利工程的影响,为湖区水资源的合理开发与保护提供一定依据。结果表明:三峡工程建成运行初期,对于洞庭湖区的水资源开发利用产生了一定的不利影响,且影响主要集中在荆南三口地区,而四水工程的影响相较之下并不显著。