Policy Windows, Policy Change, and Organizational Learning: Watersheds in the Evolution of Watershed Management

Employing in-depth, elite interviews, this empirical research contributes to understanding the dynamics among policy windows, policy change, and organizational learning. First, although much of the research on agenda setting—how issues attract enough attention that action is taken to address them—has been conducted at the national scale, this work explores the subnational, regional scale. With decentralization, regional-scale environmental decision-making has become increasingly important. Second, this research highlights the role of policy windows and instances of related organizational learning identified by natural resources managers. Having practitioners identify focusing events contrasts with the more typical approach of the researcher identifying a particular focusing event or events to investigate. A focusing event is a sudden, exceptional experience that, because of how it leads to harm or exposes the prospect for great devastation, is perceived as the impetus for policy change.     

太湖水土界面氮磷交换通量的时空差异

利用原柱样静态释放实验及间隙水分子扩散模型对太湖典型草型湖区(东太湖)及藻型湖区(梅梁湾)的氮磷释放通量进行了逐月研究.原柱样氮磷静态界面交换通量(F_i)在同一湖泊不同生态类型湖区有差异性,东太湖氨态氮和可溶性磷酸盐的年平均交换通量分别为(44.9±21.9)mg·(m²·d)^-1(平均值±标准偏差)和(2.06±1.71)mg·(m²·d)^-1,梅梁湾为(16.2±12.0)mg·(m^-1·d)^-1和(0.53±0.52)mg·(m²·d)^-1.2湖区的分子扩散通量(F_m)同样表现为这样的差异,但是其绝对值与静态释放通量相比有数量级的差异,该模型不能用于太湖这样风浪显著且底栖生物活性较高的湖泊水土界面氮磷营养盐交换通量的估算.仅从不同生态类型的湖区比较结果看,草型湖区比藻型湖区有更高的氮磷交换通量.F_i/F_m比值作为1种反映底栖生物活性的指标反映出东太湖有更高的底栖活性.在水体溶解氧水平通常保持在较高的水平,即好氧状态下,氮磷界面交换通量与溶解氧水平(DO)无显著相关.同样,在现有浓度水平下,其水土界面交换通量与水体氮磷浓度无显著相关.东太湖较高的释放通量与相对较低的水体营养盐负荷的差异来自于大型水生植被的消浪促沉降及其本身的吸附吸收作用,这是恢复水生植被以重建健康水生生态系统的重要理论依据.     

太湖底泥疏浚的水环境质量风险性分析

采用基于因子分析的主成分分析法将五里湖的16个水质参数概括为5个主成分,研究了各主成分以及其综合主成分在疏浚前后的变化,并以此为依据就底泥疏浚对水环境质量的影响进行了评价.结果表明,疏浚过程中,五里湖疏浚区的综合主成分得分最高,为1.15,水质综合排名在最后,水体色度和污染指数(F1)也达到最高值5.0;同时对照区综合主成分得分以及水体污染和色度指数(F1,F2)也相应升高,水质质量明显下降;这说明疏浚运作具有促进表层沉积物发生再悬浮和扩散作用,以及沉积物中内源性营养盐和重金属离子的释放作用.采用Monte Carlo随机采样法,利用平衡分配模型模拟和预测了疏浚过程中悬浮沉积物中重金属离子释放的阈值,结果表明疏浚过程中大部分重金属离子由悬浮沉积物向水体中释放的风险性较高,可信度达到90%以上,尤其是重金属离子Ni²⁺以及非金属污染物As释放的风险性较大,其可能的释放量分别分布在各自地表水环境质量标准EQS的28.6%～+∞之间和34%～+∞之间,说明底泥疏浚具有导致五里湖水体环境质量短期恶化的风险.此外,Monte Carlo随机采样分析方法应用也许可为湖泊底泥疏浚生态风险评价提供一条新的途径.     

外源性污染对太湖梅梁湾水质影响的定量化

通过太湖的水量水质数学模型,模拟了梅梁湾内主要的入湖污染源———直湖港、武进港和梁溪河排入的污染物质的迁移、转化规律;分析了梅梁湾中梅园、小湾里、闾江口、拖山4个监测点水质浓度受直湖港、武进港和梁溪河排污影响程度的大小;并分别建立了监测点污染物浓度与排污口排污量的响应关系曲线和响应关系表达式。通过这些结论可以方便的定量的计算出在排污口排污量发生变化的情况下监测点水质浓度的变化量,为合理控制外源污染物质的入湖量提供了技术支持。     

Efficient and resilient governance of social–ecological systems

New institutions are critically needed to improve the resilience of social–ecological systems globally. Watershed management offers an important model due to its ability to govern mixed-ownership landscapes through common property regimes, translating national goals into local action. Here, I assess the efficacy of state watershed management institutions in the Pacific Northwest, based on their ability to support local watershed groups. I use document analysis to describe and compare state institutions in Washington, Oregon, Idaho, and California. Results indicate that state institutional efficiency and resilience are the key factors determining watershed group activity and stability. The primary drivers of institutional efficiency and resilience were institutional unification, robust funding portfolios, low agency conflict, and strong support for economic multiplier effects, creative partnerships, and scholarly research. My findings elucidate the critical role of institutional efficiency and resilience in governing dynamic and complex social–ecological systems, enabling the flexibility to address emergent transformations.     

江苏省太湖流域水功能区纳污能力及限制排污总量研究

水功能区纳污能力及限制排污总量研究是制定区域水污染控制规划的基础。依据《江苏省地表水(环境)功能区划》,结合江苏省太湖流域现状水质和污染概况,针对河网区和湖库区分别采用一维、二维非稳态模型,计算江苏省太湖流域水功能区纳污能力,在此基础上,引入最大污染物入河量,核定50%、75%和90%水文保证率下的最大污染物入河量分别为2015年、2020年和2030年限排总量。结果表明:(1)CODMn和氨氮纳污能力分别为284 803 t/a和22 448 t/a;(2)2015年CODMn和氨氮限排总量分别为221 867 t/a和20 520 t/a,2020年和2030年限排总量递减,均小于纳污能力;(3)CODMn和氨氮入河量削减率分别为21.8%和46.3%,与水质超标率相差均在25%以内,基本相符。江苏省太湖流域纳污能力、限排总量、污染物入河量削减率和水质超标率之间关系合理,计算结果合理。研究成果为太湖流域水环境控制规划提供决策依据。     

基于哨兵-3A卫星OLCI数据的最大叶绿素指数在太湖蓝藻水华监测中的应用

欧洲航天局于2016年2月16日成功发射哨兵-3A卫星,搭载的水色遥感仪器(OLCI)提供了很好的海洋和内陆水体生态指标观测反演能力。基于OLCI获取的太湖L1b级遥感数据产品,利用OLCI Oa10、Oa11、Oa12波段计算了重要的水色/水生态遥感指标,即最大叶绿素指数(MCI),在此基础上初步分析了MCI在太湖蓝藻水华监测预警中应用效果。研究表明:(1)哨兵-3A卫星OLCI影像质量清晰,构建的MCI能够反映太湖水体叶绿素信号强度;(2)与常用的归一化植被指数相比,在蓝藻没有明显积聚的藻-水混悬水域,MCI与叶绿素浓度有很好的关联,可更灵敏地反映叶绿素浓度的空间分布特征。MCI将在蓝藻监测上具有更好的适用性,可有效提高富营养湖泊蓝藻水华的预警预报精度。     

太湖表层沉积物中重金属的形态分析

采用BCR三步分级提取法和ICP-AES测定了太湖沉积物中8种重金属不同形态的含量，初步评估了太湖沉积物中重金属的生物有效性，探讨了沉积物总有机碳（TOC）与重金属不同形态之间的关系。     

Ecological modelling of nitrate pollution in small river basins by spreadsheets and GIS

With the increasing importance and awareness of water quality in the small basins, the modelling system is developed for monitoring and predictions of surface water pollution. The compartment model deals with basin characteristics extended by land cover attributes. The parameters of the model are estimated by experimental data of water quality together with land cover types that serve as nutrient detention media or transformers. The study examines methodology to determine the potential areas of nitrate pollution from point and non-point sources by remote sensing techniques. Classification of water, agricultural, forest and urban areas is processed with satellite images (LANDSAT 7). Whereas the agricultural and urban areas act as sources of pollution, forest zones operate as sinks. The nitrate levels are decreased downstream, if the proportion of the forest inside contribution zones increases. The modelling system is used to simulate amounts of nitrates in each compartment of the stream during the monitored period of one year. The number of compartments and their lengths are estimated on the basis of morphology of the basin. Simulation of the dynamic model is carried out with the TabSim. Geographic information system (GIS) and remote sensing tools are used to manage and estimate nitrate inflows from point and non-point sources of pollution. The article presents the spatial and time variation of the nitrate (NO₃⁻) within the basin of the stream Rakovnický (the west part of Bohemia, the whole area of 368 km²). It is shown that the model approach extended by the GIS and remote sensing can support decision-making process for better management practices in the basins.