河流多生境自然塑造技术在北运河流域再生水河道修复中的应用研究

遵循"基于自然的解决方案(Natural based solution)"理念,本研究开发了由渗滤型边滩、生态跌水和近自然河溪构成的河流多生境自然塑造技术及系统,并在北运河流域的再生水河道台头沟实施了工程应用与示范.结果表明,该技术与系统具有良好的水质净化效果,对氨氮、总氮、总磷和化学需氧量的平均削减率分别为62.15...     

Assessing the population-level conservation effects of marine protected areas

Marine protected areas (MPAs) cover 3–7% of the world's ocean, and international organizations call for 30% coverage by 2030. Although numerous studies show that MPAs produce conservation benefits inside their borders, many MPAs are also justified on the grounds that they confer conservation benefits to the connected populations that span beyond their borders. A network of MPAs covering roughly 20% of the Channel Islands National Marine Sanctuary was established in 2003, with a goal of providing regional conservation and fishery benefits. We used a spatially explicit bioeconomic simulation model and a Bayesian difference-in-difference regression to examine the conditions under which MPAs can provide population-level conservation benefits inside and outside their borders and to assess evidence of those benefits in the Channel Islands. As of 2017, we estimated that biomass densities of targeted fin-fish had a median value 81% higher (90% credible interval: 23–148) inside the Channel Island MPAs than outside. However, we found no clear effect of these MPAs on mean total biomass densities at the population level: estimated median effect was –7% (90% credible interval: –31 to 23) from 2015 to 2017. Our simulation model showed that effect sizes of MPAs of <30% were likely to be difficult to detect (even when they were present); smaller effect sizes (which are likely to be common) were even harder to detect. Clearly, communicating expectations and uncertainties around MPAs is critical to ensuring that MPAs are effective. We provide a novel assessment of the population-level effects of a large MPA network across many different species of targeted fin-fish, and our results offer guidance for communities charged with monitoring and adapting MPAs.     

北运河下游流域典型设施农田非点源污染负荷定量化研究

为定量研究北运河下游流域设施农业非点源污染负荷情况,选择北辰双街大棚葡萄示范园为研究对象,通过对降雨径流污染负荷模型(SCS模型,USLE模型,吸附态N、P污染负荷模型以及溶解态N、P污染负荷模型)和灌溉污染负荷模型(改进的输出系数法模型)进行研究与修正,对径流和灌溉过程进行模拟分析,估算大棚种植区的污染负荷.结果显示,研究区雨季吸附态N、P输出负荷分别为40.98和1.42 kg·a-1,溶解态N、P输出负荷分别为628.77和4.57 kg· a-1,灌溉期TN、TP、NH4+-N和NO3--N输出负荷分别为182.15、2.56、60.49和62.82kg·a-1.示例验证表明所建模型具有较好的模拟效果,可进一步推广应用.     

以北运河（北京段）为例模拟评估北京市“水十条”水质改善效果

基于MIKE11构建北运河(北京段)一维水质模型,以氨氮、COD为目标污染物,建立污染源与水质响应关系。以2013年为基准年,考虑不同人口疏解情景预测2020年北运河(北京段)流域人口,并结合北京市"水十条"设置减排情景方案,对2020年水质改善效果进行量化评估。模拟结果表明:北京市"水十条"可实现显著的水质改善效果,到2020年,在中人口疏解方案下,北运河氨氮、COD平均质量浓度相比2013年分别下降40.8%~77.7%、39.3%~59.7%。COD质量浓度可稳定达标,氨氮质量浓度离达标还有一定差距,但日浓度可稳定在8mg/L以下,基本消除了黑臭水体。     

京杭大运河江南城镇段表层沉积物重金属富集水平及潜在生态风险评价

以京杭大运河9个江南城镇段表层沉积物为研究对象,研究具城镇源特征的重金属（Cu、Pb、Zn、Cd和Cr）在表层沉积物中的富集水平及其潜在生态风险.结果表明,Cu、Pb、Zn和Cd在大运河城镇段表层沉积物中显著富集,分别为所属长江沉积物相应背景值的1.2—6.4、1.8—5.8、2.6—18.7和7.1—22.7倍,Cr...     

平原河网地区农村生活污染入河机制

以太滆运河流域前黄镇和雪堰镇为研究区,设计农村生活非点源污染调查问卷,采用随机抽样的方法,调查了39个行政村中85个自然村的农村生活污染情况。通过对问卷的统计分析得到了厕所使用类型的比例、化粪池中上清液和固体残渣的去向以及生活垃圾处置等信息。在对农村生活污染进行分类的基础上,估算出该地区农村生活污染入河系数为:CODCr,6.6%～13.3%;TN,18.1%～18.6%;TP,8.2%～12.5%。     

“十五”期间苏北大运河水环境质量及趋势分析

南水北调东线的关键是输水沿线水环境质量。京杭大运河江苏苏北段作为南水北调东线重要榆水干线,其水环境质量直接影响东线北调输水水质与工程效益。根据京杭大运河江苏苏北段“十五”期间历年水环境监测资料,将苏北段大运河分为不牢河、中运河、里运河三个河段,综合分析评价了苏北大运河水环境质量,大运河徐州段及淮安市区段污染严重。在水质分析评价的基础上,采用Spearman秩相关系数法及二元多项式回归趋势线等方法相结合的方法,进一步分析了苏北大运河“十五”期间水环境质量变化趋势。     

基于GIS的水质监测信息管理系统设计与开发

该文分析了京杭运河（徐州段）的水质监测信息管理手段的不足,提出建立基于GIS的水质监测信息管理系统的必要性。着重从系统开发平台的选择,数据库建设,功能开发等几个方面介绍了京杭运河（徐州段）的水质监测信息管理系统的设计与开发。系统采用ArcSDE空间数据库引擎和SQL Server关系数据库统一管理空间和属性数据,利用ArcObjects组件进行二次开发,实现了京杭运河（徐州段）的水质监测信息管理系统的建立。     

基于郑州地铁下穿南水北调干渠的Peck公式反演分析

土压平衡盾构隧道下穿通水运行中的南水北调工程,在国内尚属首例。以郑州地铁城郊线土压平衡盾构隧道下穿南水北调中线干渠区间实测数据为依据,将Peck公式法运用于隧道下穿南水北调工程引起的地表沉降预测研究中,利用反演分析法,通过引入最大沉降量修正系数j和沉降槽宽度修正系数k,结合实测数据对Peck公式进行修正,得出适用于郑州地区相似工程的Peck公式,并根据现场实际情况,对不同埋深条件下地表沉降规律进行研究。结果表明:引入最大沉降量修正系数j和沉降槽宽度修正系数k对Peck公式进行改进后,能够获得较准确的地表沉降预测曲线,证明了Peck公式法在隧道下穿南水北调工程引起的地表沉降预测研究中的适用性;在其他条件均相同的情况下,随着隧道埋深的增加,地表最大沉降量逐渐减小,沉降槽宽度逐渐增大。     

Spatial and seasonal variations of the contamination within water body of the Grand Canal, China

To delineate the character of contaminations in the Grand Canal, China, a three-year study (2004-2006) was conducted to investigate variations the water quality in the canal. Results showed that the variation of water quality within the Grand Canal was of there is remarkable spatial and seasonal heterogeneity regarding water quality within the Canal. Values of contaminants in dry-season were obviously higher than those in wet-season. Sites influenced strongly by industry and urbanization showed higher contents of nutrients and lower levels of dissolved oxygen in water body; moreover these sites were severely polluted by dissolved metals with the contents of cadmium, chromium and copper exceeding the Criteria Maximum Concentration (CMC), US EPA. Multivariate statistical analysis suggested nutrient and dissolved metals pollution was the dominant environmental problems within the Canal. Anthropogenic influences played a dominant role in the character of contaminations in the Grand Canal.