鄱阳湖湿地现状问题与未来趋势

近年来鄱阳湖秋冬季水文呈干枯态势,湿地生态系统及其关键因子也发生了变化。如何合理保护和利用鄱阳湖湿地引起各方关注。系统综述了鄱阳湖湿地生态系统在水文、江湖关系、水质、水鸟栖息地、渔业资源等方面存在的问题,梳理了引起这些问题的外部和内部因素。针对"一切照常"和"水位调控"两种情景,预测了湿地未来的变化趋势,并指出了当前研究中的不确定性问题。研究认为:鄱阳湖秋冬季的低枯水位,对水质、湿地植被、水鸟栖息地以及鱼类食物资源和"三场"(即:产卵场、洄游通道、索饵场)产生了一定不利影响。建议通过模型模拟和情景预测来分析不同调控方案的影响效果,优化调控方案、将生态系统的负面影响降到最低。     

鄱阳湖水位-淹水面积关系不确定性的分析

湖泊淹水范围的时空变化特征往往决定了湖泊湿地的景观结构和功能。鄱阳湖是我国最大淡水湖,水位和淹水范围的季节变化悬殊,鄱阳湖淹水特征对研究鄱阳湖湿地生态系统的结构与功能都具有显著意义,过去很多研究关注鄱阳湖水位-淹水面积关系,不同的研究者得到的水位-淹水面积关系各有差异,表现出一定的不确定性。利用多时相的卫星遥感影像提取的鄱阳湖水面面积的基础上,结合鄱阳湖长时间序列的水位观测资料,探讨鄱阳湖水位-淹水面积关系不确定的原因。研究结果表明:(1)尽管鄱阳湖水面面积与水位表现分段线性关系,但在相同水位条件下,鄱阳湖水面面积表现出较大的不确定性;(2)鄱阳湖水位表现南高北低的空间异质性格局,随着水位增加,鄱阳湖水位的空间异质性降低,并且水面坡降具有季相性,相同水位下退水期的水面坡降大于涨水期的水面坡降;(3)受洲滩地形和"堑秋湖"渔业方式的影响,相同水位下退水期出露洲滩中子湖泊的水面范围大于涨水期中子湖泊水面范围;(4)此外,鄱阳湖采砂显著改变采沙场的湖盆地形,从而改变低水位下的主要采沙场的淹水范围。综上所述,鄱阳湖水位-淹水面积关系的不确定性除了受湖盆地形、"五河"来水、长江顶托等自然原因,还有采砂和堑秋湖渔业方式等人类活动的原因。     

武汉城市圈水资源及水环境承载力分析

水资源及水环境承载力是衡量区域可持续发展的一项重要指标,对区域经济的发展规划具有重要的指导意义。以可承载的人口数量和GDP作为承载力的表征指标,分别运用单位GDP综合用水量评判法和河流一维水质模型及湖库均匀混合模型计算武汉城市圈不同水平年的水资源及水环境承载力,并用承载度来评价水资源及水环境的承载状态。结果表明:2012、2020和2030年武汉城市圈水资源承载力都处于合理承载状态,但是其水环境承载力处于轻度超载状态。可见,水环境承载力对武汉城市圈的用水限制更为严格。随着社会经济的发展及污水处理技术的进步,水环境状况虽然会有所好转,但与水资源数量这一因素相比,水环境仍是制约武汉城市圈经济社会发展的关键因素。     

人类活动对川东平行岭谷区岩溶地下水化学性质季节变化的影响

以川东平行岭谷区典型岩溶槽谷--北碚槽上为研究区域,通过对8月和11月的岩溶地下水水化学性质研究,发现槽上岩溶地下水的化学性质呈现明显的季节性：电导率、矿化度、SO42-浓度及HCO3-浓度都是8月大于11月,与气温和降水量的变化相对应,也与人类在8月份对土地利用的强度大于在11月份对土地利用的强度相对应。研究区地下水的化学性质与人类活动对土地利用的季节差异具有比较明显的对应关系,为进一步认识岩溶地下水的时间变化规律提供科学数据,也有利于认识人类活动对生态环境产生的影响,从而采取更加合理的措施来治理和保护岩溶地区有限的地下水资源,满足人们的生活和生产需要。     

核磁共振方法在湖北某地找水的效果

应用核磁共振技术找水是核磁共振技术应用的新领域,核磁共振找水是一种直接探测地下水的地球物理方法。本文介绍了在贫水地区一个指定范围内探测地下水例子。比较所做的三个僚共振测点的工作结果,确定出含中水情况较好部位,配合做了率对四极测探,其工作结果指示出一低阻区域,是地下水富集带。在设计的钻井位置钻探探打出了优质 下水,验证了核磁共振找水方法的推断结果。在对该磁共振找水方法研究和实践的基础上,指出：核磁共     

基于BP神经网络的鄱阳湖水位模拟

考虑到鄱阳湖水位受流域五河与长江来水等多因素的共同作用而表现出高度非线性响应,采用典型的三层BPNN神经网络模型来模拟鄱阳湖水位与其主控因子之间的响应关系。分别将湖口、星子、都昌、棠荫和康山水位作为目标变量进行BPNN模型构建和适用性评估。结果显示：综合考虑流域五河及长江来水（汉口或九江）的BPNN水位模型,空间站点水位模拟精度（R2和Ens）可达090以上,各站点的均方根误差（RMSE）变化范围约050～10 m,若忽略长江来水的影响作用,仅将流域五河来水作为湖泊水位的主控影响因子,模型训练期与测试期的纳希效率系数（Ens）和确定性系数（R2）显著降低,且低于050,均方根误差（RMSE）也明显增大（124～288 m）,意味着综合考虑流域五河与长江来水是获取结构合理、精度保证的鄱阳湖水位模型的重要前提。同时建议针对鄱阳湖湖盆变化对水位的影响,尽可能选择一致性较好的长序列数据集来训练和测试BPNN模型。所构建的BPNN神经网络模型可进一步结合流域水文模型,用来预测气候变化与人类活动下流域径流变化对湖泊水位的潜在影响,也可作为一种有效的模型工具来回答当前鄱阳湖一些备受关注的热点问题,如定量区分流域五河与长江来水对湖泊洪枯水位的贡献分量,为湖泊洪涝灾害的防治和对策制定提供科学依据     

Coming to the table: collaborative governance and groundwater decision-making in coastal California

Collaborative governance is on the rise in the United States. This management approach brings together state and non-state actors for environmental decision-making, and it is frequently used in California for decisions regarding local groundwater management. This study examines groundwater decision-making groups and practices in a central California coastal community to understand whether groups meet specific collaborative governance criteria and whether and why certain subsets of the population are excluded from groundwater decision-making practices. It also identifies actions for better group inclusion. We find that small farmers, the Hispanic/Latino community, and the general public are often excluded from groundwater decision-making groups and practices due to unawareness, mistrust, and insufficient resources. Education and awareness as well as incentives could help increase inclusion. This study provides insights into more equitable groundwater decision-making groups and practices, and also calls for more critical examination of the current stakeholder approach to decision-making.     

汽车整车自然暴露试验评价方法前期研究

主要介绍汽车整车自然暴露试验评价方法,基于整车厂长期进行汽车整车自然暴露试验,对整车进行表观检测、性能检查及其他项目检测,通过分析试验结果,归纳汽车内外饰件常见缺陷,按照失效程度和不同部件类型,为整车耐候性进行等级划分,建立整车系统化评价方法。     

Supporting Diverse Data Providers in the Open Water Data Initiative: Communicating Water Data Quality and Fitness of Use

Shared, trusted, timely data are essential elements for the cooperation needed to optimize economic, ecologic, and public safety concerns related to water. The Open Water Data Initiative (OWDI) will provide a fully scalable platform that can support a wide variety of data from many diverse providers. Many of these will be larger, well‐established, and trusted agencies with a history of providing well‐documented, standardized, and archive‐ready products. However, some potential partners may be smaller, distributed, and relatively unknown or untested as data providers. The data these partners will provide are valuable and can be used to fill in many data gaps, but can also be variable in quality or supplied in nonstandardized formats. They may also reflect the smaller partners' variable budgets and missions, be intermittent, or of unknown provenance. A challenge for the OWDI will be to convey the quality and the contextual “fitness” of data from providers other than the most trusted brands. This article reviews past and current methods for documenting data quality. Three case studies are provided that describe processes and pathways for effective data‐sharing and publication initiatives. They also illustrate how partners may work together to find a metadata reporting threshold that encourages participation while maintaining high data integrity. And lastly, potential governance is proposed that may assist smaller partners with short‐ and long‐term participation in the OWDI.     

Benchmarking Optical/Thermal Satellite Imagery for Estimating Evapotranspiration and Soil Moisture in Decision Support Tools

Generally, one expects evapotranspiration (ET) maps derived from optical/thermal Landsat and MODIS satellite imagery to improve decision support tools and lead to superior decisions regarding water resources management. However, there is lack of supportive evidence to accept or reject this expectation. We “benchmark” three existing hydrologic decision support tools with the following benchmarks: annual ET for the ET Toolbox developed by the United States Bureau of Reclamation, predicted rainfall‐runoff hydrographs for the Gridded Surface/Subsurface Hydrologic Analysis model developed by the U.S. Army Corps of Engineers, and the average annual groundwater recharge for the Distributed Parameter Watershed Model used by Daniel B. Stephens & Associates. The conclusion of this benchmark study is that the use of NASA/USGS optical/thermal satellite imagery can considerably improve hydrologic decision support tools compared to their traditional implementations. The benefits of improved decision making, resulting from more accurate results of hydrologic support systems using optical/thermal satellite imagery, should substantially exceed the costs for acquiring such imagery and implementing the remote sensing algorithms. In fact, the value of reduced error in estimating average annual groundwater recharge in the San Gabriel Mountains, California alone, in terms of value of water, may be as large as $1 billion, more than sufficient to pay for one new Landsat satellite.