Near-term forecasts of stream temperature using deep learning and data assimilation in support of management decisions

Deep learning (DL) models are increasingly used to make accurate hindcasts of management-relevant variables, but they are less commonly used in forecasting applications. Data assimilation (DA) can be used for forecasts to leverage real-time observations, where the difference between model predictions and observations today is used to adjust the model to make better predictions tomorrow. In this use case, we developed a process-guided DL and DA approach to make 7-day probabilistic forecasts of daily maximum water temperature in the Delaware River Basin in support of water management decisions. Our modeling system produced forecasts of daily maximum water temperature with an average root mean squared error (RMSE) from 1.1 to 1.4°C for 1-day-ahead and 1.4 to 1.9°C for 7-day-ahead forecasts across all sites. The DA algorithm marginally improved forecast performance when compared with forecasts produced using the process-guided DL model alone (0%–14% lower RMSE with the DA algorithm). Across all sites and lead times, 65%–82% of observations were within 90% forecast confidence intervals, which allowed managers to anticipate probability of exceedances of ecologically relevant thresholds and aid in decisions about releasing reservoir water downstream. The flexibility of DL models shows promise for forecasting other important environmental variables and aid in decision-making.     

对加快推进我国矿山生态修复的思考

绿色矿山建设是矿业领域践行"绿水青山就是金山银山"的重要体现。本文从矿山生态修复的内涵到外延，从问题识别到任务措施，从单一治理修复目标到生态系统功能修复目标，从矿山生态修复系统到与经济社会发展系统相结合等多个方面，系统地梳理矿山生态修复的解决路径，围绕矿业绿色发展提出一系列建议。     

金属矿区周边农田土壤与农作物重金属健康风险评估

为探明金属矿区周边农田土壤与农作物重金属污染特征与人体健康风险,通过对矿区周边农田土壤和农作物进行样品采集并分析测定其Cd、Pb和As等重金属含量,采用地累积指数法、富集系数法和综合潜在生态风险指数法,研究土壤和农作物重金属的污染特征与综合潜在生态风险,采用蒙特卡罗模拟法进行土壤和农作物重金属的健康风险评估.结果表明,凉桥村土壤重金属污染主要是Cd、As和Pb,分别有100%、100%和75%以上土壤样品超过农田土壤筛选值（GB 15618-2018）,农作物中Cd、Pb、As、Cr和Ni这5种重金属的含量,均超标《食品安全国家标准食品中污染物限量》（GB 2762-2017）严重;地累积指数和富集系数表明Cd和As污染严重,综合潜在生态风险指数（RI）普遍高于600,具有极高生态风险,其中Cd、As和Pb贡献最大,贡献率分别为77.8%、14.4%和3.1%.健康风险评估表明,凉桥村居民通过摄入农作物以及误食土壤造成较高的致癌风险（致癌风险>10-6）以及非致癌健康风险（危害商值>1）;蒙特卡罗模拟人群健康风险分析显示,凉桥村土壤重金属污染暴露途径下具有较高致癌与非致癌风...     

地理信息系统Metadata共享和安全

地理信息系统 (GIS)的核心是数据 ,数据的共享及其安全是GIS技术的关键 ,特别是GIS网络 ,而元数据 (Metadata)机制提供了有效的方法。笔者介绍了Metadata及其共享和安全的重要性 ,并对ArcSDE安全机制与Metadata共享及安全实施进行了分析 ,探讨基于GIS软件技术的Metadata共享和安全技术的可行性     

Towards a long-term integrated monitoring programme in Europe: network design in theory and practice

Long-term integrated monitoring is an important approach forinvestigating, detecting and predicing the effects ofenvironmental changes. Currently, European freshwaters,glaciers, forests and other narural and semi-natural ecosystemsand habitats are monitored by a number of networks establishedby different organisations. However, many monitoring programmeshave a narrow focus (e.g. targeting individual ecosystems) andmost have different measurement protocols and sampling design.This has resulted in poor integration of ecosystem monitoring ata European level, leading to some overlapping of efforts and alack of harmonised data to inform policy decisions. The need fora consistent pan-European long-term integrated monitoring ofterrestrial systems programme is recognised in the scientificcommunity. However, the design of such a system can be problematic, not least because of the constraints imposed bythe need to make maximum use of existing sites and networks.Based on the outcomes of the NoLIMITS project (Networking ofLong-term Integrated Monitoring in Terrestrial Systems), thisarticle reviews issues that should be addressed in designing aprogramme based on existing monitoring sites and networks. Fourmajor design issues are considered: (i) users' requirements,(ii) the need to address multiple objectives, (iii) role ofexisting sites and (iv) operational aspects.     

A double‐edged sword: Realities of artisanal and small‐scale mining for rural people in the Alaotra region of Madagascar

A growing number of people are entering the artisanal and small‐scale mining (ASM) sector worldwide. In Madagascar, millions of individuals depend on this informal activity. Through a case study in the Alaotra‐Mangoro region of Madagascar, our research aimed to understand the “bottom‐up” dynamics and ripple effects of the sector, by looking at the realities for rural communities where inhabitants are both directly and indirectly affected by ASM. We were interested in community members' and miners' perceptions of the socio‐economic and environmental impacts of ASM, and in identifying the factors attracting people living in one of the country's agricultural hubs to this activity. Our results show a wide diversity of push and pull factors leading people to enter the sector. Although many positive impacts of ASM exist for miners and communities within the vicinity of mines, most miner participants considered themselves worse off since starting to mine, highlighting the high risk and low probability of return of ASM. ASM's potential for local and national development will remain squandered if its negative impacts continue to go unmanaged. Accounting for local contexts and the ripple effects of ASM will be crucial in achieving safety and security for miners, and to tap into the benefits it may offer communities while minimising environmental damage.     

基于改进DEA交叉效率模型的洪水灾害区域脆弱性评价

为了评价洪水灾害区域脆弱性,提出了应用改进DEA交叉效率模型和熵权法相结合的洪水灾害区域脆弱性评价方法。首先,在洪灾形成理论的基础上,构建洪灾区域脆弱性指标体系和评价标准;其次,应用改进DEA交叉效率模型计算不同区域的成灾效率,利用熵权法计算权重集结全局成灾效率。根据成灾效率的实际意义分析不同区域脆弱性的相对大小。最后,选取我国各省份洪灾作为实证分析的研究对象。研究结果表明:该方法能够准确评价区域洪灾脆弱性程度,评价结果与实际情况一致,具有较好的适用性。     

安全生产大数据的5W2H采集法及其模式研究

为从安全生产大数据中挖掘安全规律并最终提炼安全生产基础原理,首先在对安全生产大数据的定义及其内涵进一步阐释基础上,提出安全生产大数据采集的定义,并将其分解为3个过程;然后提出安全生产大数据的5W2H采集法,并对其内涵(采集原因,使用主体、采集者及采集对象,采集数据类型,采集边界,采集时间,采集数据量及其采集方法）进行详细分析;最后以思维路径为主、过程路径和技术路径为辅,建立安全生产大数据采集的一般模式。结果表明,安全生产大数据采集模式的研究可为安全生产大数据的存储、处理及其应用提供基础。     

多手段综合分析特厚煤层分层开采覆岩破坏高度

为研究特厚煤层分层开采过程中已采工作面上覆围岩破坏高度,以老虎台矿83002已采工作面为例,分别采用EH-4物理探测、数值模拟和微震监测等多种手段进行分析论证。EH-4探测确定了垮落带和裂隙带位于油页岩层内,高阻区位于绿色页岩和砂砾岩的交界面,F1断层处出现离层空间,数值模拟和微震监测对该结果进行了验证;数值模拟和微震监测综合确定了覆岩破坏高度为400～485 m,为累计采高的6.3～7.5倍。研究成果可对下一分层83003工作面的安全开采进行指导,为类似条件矿井提供借鉴。     

结合遥感影像的矿山开采沉陷专题信息三维表达

煤矿井下开采引发地表沉陷是一种严重影响生命财产和生产安全的工程形变灾害 ,其形变信息有效表达和精准制图可大大减少矿区变形控制的成本,为矿山安全生产、 保护煤柱留设、塌陷地治理、压煤村庄搬迁、破坏等级判定与损害补偿评估等方面提供 更可靠的技术保障。基于矿山地图、实时卫星遥感影像与开采沉陷变形预计结果等数据 ,采用GIS空间分析和三维可视化技术,对淮北朔里矿区地表移动与变形的下沉（W）、 水平移动（U）、水平变形（ε）、倾斜（i）和曲率（K）等形变类型进行了三维的专 题信息与应用表达,其专题信息能更加直观有效地表达与准确清晰描述开采沉陷的地理 位置、影响范围、受损害地物类型、形变方向与变形量大小等。