Ten ways remote sensing can contribute to conservation

In an effort to increase conservation effectiveness through the use of Earth observation technologies, a group of remote sensing scientists affiliated with government and academic institutions and conservation organizations identified 10 questions in conservation for which the potential to be answered would be greatly increased by use of remotely sensed data and analyses of those data. Our goals were to increase conservation practitioners’ use of remote sensing to support their work, increase collaboration between the conservation science and remote sensing communities, identify and develop new and innovative uses of remote sensing for advancing conservation science, provide guidance to space agencies on how future satellite missions can support conservation science, and generate support from the public and private sector in the use of remote sensing data to address the 10 conservation questions. We identified a broad initial list of questions on the basis of an email chain‐referral survey. We then used a workshop‐based iterative and collaborative approach to whittle the list down to these final questions (which represent 10 major themes in conservation): How can global Earth observation data be used to model species distributions and abundances? How can remote sensing improve the understanding of animal movements? How can remotely sensed ecosystem variables be used to understand, monitor, and predict ecosystem response and resilience to multiple stressors? How can remote sensing be used to monitor the effects of climate on ecosystems? How can near real‐time ecosystem monitoring catalyze threat reduction, governance and regulation compliance, and resource management decisions? How can remote sensing inform configuration of protected area networks at spatial extents relevant to populations of target species and ecosystem services? How can remote sensing‐derived products be used to value and monitor changes in ecosystem services? How can remote sensing be used to monitor and evaluate the effectiveness of conservation efforts? How does the expansion and intensification of agriculture and aquaculture alter ecosystems and the services they provide? How can remote sensing be used to determine the degree to which ecosystems are being disturbed or degraded and the effects of these changes on species and ecosystem functions?     

地方政府地震风险预防与应急准备:实践、挑战及对策——基于广东河源市的分析

地震是广东河源市常见的自然灾害,频发的地震和作为城市重大风险源的新丰江水库可能诱发地震的双重影响对河源市地震应急预防准备工作提出严峻挑战,提升河源市政府和相关部门的地震应急能力尤为重要。根据对河源市地震应急预防准备工作现状的实地调研访谈、问卷调查和分析,阐述了河源市在地震应急预防准备工作进行的实践探索、待改善的方面,在借鉴国内外经验基础上,提出了加强和改进河源市地震预防与应急准备工作的对策建议。     

附着硅藻指数在河流水质监测中的适用性技术研究

对广西龙江和柳江中段共18个样点进行了附着硅藻的采样调查,并采用相关分析法、主成分分析法、最优分割分类法、箱须图法、逐步判别分析法和双向指示种分类法等数学方法研究分析了16个硅藻指数在龙江与柳江中段水质监测中的适用性.结果表明,3次4组不同水质类别中,IPS(Specific Pollution Sensitivity Index)和TDI(Trophic Diatom Index)指数与样点的箱须图都表现出合理的趋势,而且IPS和TDI间、及与环境因子及其他硅藻指数间的相关性显著.表明IPS和TDI适合进行龙江与柳江中段的水质生物监测评价,而本文提出的硅藻指数适用性技术也具有一定的推广价值.     

AHLs群体感应信号分子对硝化污泥附着生长及硝化效果的影响

污水生物脱氮系统中的硝化菌生长慢、易流失,人为添加N-酰基高丝氨酸内酯类(AHLs)群体感应信号分子,可能会强化硝化菌生物膜的形成,从而有助于富集硝化菌,提高硝化效率.本研究以采用低碳氮比(C∶N=8)人工配置废水驯化100 d后的硝化活性污泥为菌源,人为外加2μmol·L-1的AHLs信号分子(C8-HSL或OHHL),分析了两种信号分子对硝化污泥静态附着、氨氮动态降解及微生物生长速率的影响.研究结果表明,信号分子OHHL能快速强化微生物附着生长,且能在一定时间内持续发挥作用,有助于硝化生物膜的形成;而信号分子C8-HSL则能明显提高硝化污泥的氨氮降解速率;两种信号分子都能促进硝化污泥生长,提高微生物生长速率,增强硝化污泥活性,加速硝化污泥生物量累积.人为添加C8-HSL或OHHL信号分子,不仅能保证氨氮降解效率还能降低出水硝氮浓度,减轻氮污染.     

Long‐Term Trends of Nutrients and Sediment from the Nontidal Chesapeake Watershed: An Assessment of Progress by River and Season

To assess historical loads of nitrogen (N), phosphorus (P), and suspended sediment (SS) from the nontidal Chesapeake Bay watershed (NTCBW), we analyzed decadal seasonal trends of flow‐normalized loads at the fall‐line of nine major rivers that account for >90% of NTCBW flow. Evaluations of loads by season revealed N, P, and SS load magnitudes have been highest in January‐March and lowest in July‐September, but the temporal trends have followed similar decadal‐scale patterns in all seasons, with notable exceptions. Generally, total N (TN) load has dropped since the late 1980s, but particulate nutrients and SS have risen since the mid‐1990s. The majority of these rises were from Susquehanna River and relate to diminished net trapping at the Conowingo Reservoir. Substantial rises in SS were also observed, however, in other rivers. Moreover, the summed rise in particulate P load from other rivers is of similar magnitude as from Susquehanna. Dissolved nutrient loads have dropped in the upland (Piedmont and above) rivers, but risen in two small rivers in the Coastal Plain affected by lagged groundwater input. In addition, analysis of fractional contributions revealed consistent N trends across the upland watersheds. Finally, total N:total P ratios have declined in most rivers, suggesting the potential for changes in nutrient limitation. Overall, this integrated study of historical data highlights the value of maintaining long‐term monitoring at multiple watershed locations.     

Calibrating a Basin‐Scale Groundwater Model to Remotely Sensed Estimates of Groundwater Evapotranspiration

Remotely sensed vegetation indices correspond to canopy vigor and cover and have been successfully used to estimate groundwater evapotranspiration (ET_g) over large spatial and temporal scales. However, these data do not provide information on depth to groundwater (dtgw) necessary for groundwater models (GWM) to calculate ET_g. An iterative approach is provided that calibrates GWM to ET_g derived from Landsat estimates of the Enhanced Vegetation Index (EVI). The approach is applied to different vegetation groups in Mason Valley, Nevada over an 11‐year time span. An uncertainty analysis is done to estimate the resulting mean and 90% confidence intervals in ET_g to dtgw relationships to quantify errors associated with plant physiologic complexity, species variability, and parameter smoothing to the 100 m GWM‐grid, temporal variability in soil moisture and nonuniqueness in the solution. Additionally, a first‐order second moment analysis shows ET_g to dtgw relationships are almost exclusively sensitive to estimated land surface, or maximum, ET_g despite relatively large uncertainty in extinction depths and hydraulic conductivity. The EVI method of estimating ET_g appears to bias ET_g during years with exceptionally wet spring/summer conditions. Excluding these years improves model performance significantly but highlights the need to develop a methodology that accounts not only on quantity but timing of annual precipitation on phreatophyte greenness.     

突发性环境污染事故应急监测的措施分析

突发性环境污染事故会对环境造成较大的伤害,如果不能及时采取措施,就会使污染进一步扩大,不仅带来经济的损失,而且会破坏到生态的平衡。因此,要建立起突发环境污染事故的应急监测,这样才能尽可能的减少突发性环境污染事件的影响。基于此,本文从突发性环境污染事故的特征入手,首先分析其应急监测的意义,然后探究具体的措施,希望可以借此给突发性环境污染应急监测的相关研究提供一定的参考意见。     

环境监测中重金属污染的控制对策分析

在我国社会经济快速发展的过程中,人们对自然资源需求无度,造成生态环境破坏问题非常严重。通过环境监测可以及时分析空气中有毒有害的物质成分,并且对环境污染问题进行及时有效的解决。但是在监测的过程中所采用大量的空气试剂很容易造成环境二次污染等问题,为此必须要积极加强对环境监测中重金属污染的合理控制,对空气试剂产生的大量废弃物进行及时的回收处理,从而有效避免出现二次污染的情况,充分发挥环境监测的作用。     

土壤监测质量保证与质量控制

质量保证与质量控制措施是土壤监测工作在具体开展过程中确保其监测结果准确性、代表性、全面性的重要措施,同时也是土壤监测工作在具体开展过程中的核心工作内容。在环境保护与可持续发展战略情况下,采取全面有效的质量保证与质量控制措施可以确保并优化土壤监测结果的真实性、准确性和全面性,对促进土壤监测工作的优化发展具有非常重要的意义。基于此,本文针对土壤监测工作开展过程中应当实施的各项质量保证与质量控制措施进行了分析总结。