京津冀地区一次污染过程的星载地基激光雷达联合观测分析

针对2018年3月9—15日京津冀地区的一次空气重污染过程,进行了基于地基颗粒物激光雷达组网的星载-地基联合观测分析。颗粒物激光雷达观测到污染前期为局地污染累积过程,中期有明显的污染物区域传输过程,北京受太行山沿线城市污染输送影响较大。风廓线激光雷达观测结果表明:此次污染过程近地面主要为偏南风且风力较弱,冷空气到来时风向转为较强东北风,导致污染消散。微波辐射计观测到保定在污染过程中出现持续6 d的逆温层,同时在污染过程中近地面相对湿度较高,逆温层被打破后污染开始消散。在污染过程的各个阶段中,污染团的空间分布与变化特征均被很好地反映出来,可见地天联合观测对污染物的累积与输送研究有较大的意义,能对京津冀及周边地区的大气污染联防联控提供有力支持。     

卫星遥感技术在管理长江流域水资源方面的应用研究

详细讨论了卫星遥感技术在长江流域水资源管理方面的应用问题，提出了两种实用的方法：①卫星遥感技术在灌溉水资源管理方面的应用；②长江流域地下水、地表水资源估算。进一步分析了两种方法的特点，介绍了卫星遥感技术的优点及用途，建议在长江流域水资源管理中加以利用。     

基于卫星遥感气溶胶产品评估体系的气溶胶时空分布及变化趋势表征

卫星遥感气溶胶虽然空间覆盖度高,但不同产品数据在准确性和适用性上存在显著差异.为了能够科学定量的衡量各个产品的优劣,选择最合适的气溶胶产品,该研究以数学统计为基础,提出了一种卫星遥感气溶胶产品评估体系,并依此确定了全球6个人口密集地区的最优卫星数据集,在此基础上开展了近10年的（2009—2018）气溶胶时空变化分析.结果表明暗像元算法在植被覆盖度高的地区表现最好,深蓝算法在亮地表的沙漠干旱地区更占优势,而暗像元-深蓝融合算法在土地类型复杂且气溶胶来源多变时得以突出.人口密集的6个区域中,除了区域A和区域B,其它地区的大气污染水平整体偏高.其中,A、B、E的气溶胶负荷呈下降变化,区域F基本不变,其余区域上升变化.评估体系的建立为气溶胶遥感产品的选取提供了新的衡量方法,且该文关于气溶胶时空分布及变化的分析可以为区域性气溶胶研究提供一定的参考价值.     

粤港澳大湾区NO2污染的时空特征及影响因素分析

利用Aura卫星搭载的臭氧观测仪（OMI）反演的对流层NO₂柱密度数据,分析了自2005年以来粤港澳大湾区（GBA）对流层NO₂柱密度的空间分布特征、时间变化趋势及其影响因素.研究结果表明GBA对流层NO₂柱密度从2005~2018年呈减少的趋势,每年递减约为2.8%.小波系数显示时间演化过程中存在9个月的主振荡周期,冬季浓度较高,夏季较低.人为排放和各种自然因素,导致了GBA对流层NO₂柱浓度月变化在时间和空间上存在明显差异,最小值和最大值分别出现在6和12月,多年平均值分别为3.9665×10¹⁵和12.3423×10¹⁵molec/cm².NO₂在空间分布上呈现明显的空间分异特征,冬季12月最明显.NO₂污染严重的高值区主要出现在中部地区,如广州市、佛山市和中山市,最大的对流层NO₂柱密度可达18.8306×10¹⁵molec/cm²,大约是周边地区的3 倍,且高污染区域向四周逐渐扩散,连成一片.低值区主要在北部的肇庆市和东部的惠州市,多年平均的对流层NO₂柱密度约为7.1400×10¹⁵molec/cm².对流层NO₂柱密度的增长率在不同区域的变化趋势呈现明显的差异,变化范围为-15×10¹⁵~6×10¹⁵molec/cm²,增长率百分比范围为-65%~65%.出现增长的地区主要是肇庆市北部和惠州市东部的低值区;对流层NO₂出现明显减少的区域集中在中部的高值区,减少量最大的地区为广州市、佛山市和中山市交界处.     

基于静止卫星GOCI传感器的大气污染过程AOD监测

针对北京及周边地区2017年11月2~8日的一次污染过程,利用韩国静止卫星COMs1GOCI数据,对北京地区进行AOD监测.AOD反演采用时间序列迭代算法,根据地表反射率随时间慢变而大气气溶胶随时间快变的理论,采取最小值拟合的方式,获取气溶胶光学厚度数据.反演结果与地基AERONET监测结果具有很好的一致性,两者的相关系数R²大于0.89.AOD监测结果表明,GOCI传感器1次/h的监测频率,可以很好地展现北京地区大气污染过程的开始,发展及消散过程,可以展示出一天之内AOD的变化,为大气污染监测以及气候变化研究提供依据.     

Plant Phenology in Western Canada: Trends and Links to the View From Space

One feature of climate change is the trends to earlier spring onset in many north temperate areas of the world. The timing of spring flowering and leafing of perennial plants is largely controlled by temperature accumulation; both temperature and phenological records illustrate changes in recent decades. Phenology studies date back over a century, with extensive databases existing for western Canada. Earlier spring flowering has been noted for many woody plants, with larger trends seen for species that develop at spring's start. Implications for ecosystems of trends to earlier spring arrival include changes in plant species composition, changes in timing and distribution of pests and disease, and potentially disrupted ecological interactions. While Alberta has extensive phenology databases (for species, years, and geographic coverage) for recent decades, these data cannot provide continuous ground coverage. There is great potential for phenological data to provide ground validation for satellite imagery interpretation, especially as new remote sensors are becoming available. Phenological networks are experiencing a resurgence of interest in Canada (www.plantwatch.ca) and globally, and linking these ground-based observations with the view from space will greatly enhance our capacity to track the biotic response to climate changes.     

Linking Land Cover and Water Quality in New York City’S Water Supply Watersheds

The Catskill/Delaware reservoirs supply 90% of New York City’s drinking water. The City has implemented a series of watershed protection measures, including land acquisition, aimed at preserving water quality in the Catskill/Delaware watersheds. The objective of this study was to examine how relationships between landscape and surface water measurements change between years. Thirty-two drainage areas delineated from surface water sample points (total nitrogen, total phosphorus, and fecal coliform bacteria concentrations) were used in step-wise regression analyses to test landscape and surface-water quality relationships. Two measurements of land use, percent agriculture and percent urban development, were positively related to water quality and consistently present in all regression models. Together these two land uses explained 25 to 75% of the regression model variation. However, the contribution of agriculture to water quality condition showed a decreasing trend with time as overall agricultural land cover decreased. Results from this study demonstrate that relationships between land cover and surface water concentrations of total nitrogen, total phosphorus, and fecal coliform bacteria counts over a large area can be evaluated using a relatively simple geographic information system method. Land managers may find this method useful for targeting resources in relation to a particular water quality concern, focusing best management efforts, and maximizing benefits to water quality with minimal costs.The United States Environmental Protection Agency through its Office of Research and Development funded and managed the research described here. It has been subjected to Agency’s administrative review and approved for publication as an EPA document.     

The Impact of Landsat Satellite Monitoring on Conservation Biology

Landsat 7s recent malfunctioning will result in significant gaps in long-term satellite monitoring of Earth, affecting not only the research of the Earth science community but also conservation users of these data. To determine whether or how important Landsat monitoring is for conservation and natural resource management, we reviewed the Landsat programs history with special emphasis on the development of user groups. We also conducted a bibliographic search to determine the extent to which conservation research has been based on Landsat data. Conservation biologists were not an early user group of Landsat data because a) biologists lacked technical capacity – computers and software – to analyze these data; b) Landsats 1980s commercialization rendered images too costly for biologists budgets; and c) the broad-scale disciplines of conservation biology and landscape ecology did not develop until the mid-to-late 1980s. All these conditions had changed by the 1990s and Landsat imagery became an important tool for conservation biology. Satellite monitoring and Landsat continuity are mandated by the Land Remote Sensing Act of 1992. This legislation leaves open commercial options. However, past experiments with commercial operations were neither viable nor economical, and severely reduced the quality of monitoring, archiving and data access for academia and the public. Future satellite monitoring programs are essential for conservation and natural resource management, must provide continuity with Landsat, and should be government operated.     

气象卫星遥感在干旱监测中的应用

本文根据ＮＯＡＡ极轨气象卫星ＡＶＨＲＲ资料计算生成植被指数相对距平图用于旱情监测，并在江苏省１９９４年特大干旱中进行了应用服务     

Effectiveness of Africa's tropical protected areas for maintaining forest cover

The effectiveness of parks for forest conservation is widely debated in Africa, where increasing human pressure, insufficient funding, and lack of management capacity frequently place significant demands on forests. Tropical forests house a substantial portion of the world's remaining biodiversity and are heavily affected by anthropogenic activity. We analyzed park effectiveness at the individual (224 parks) and national (23 countries) level across Africa by comparing the extent of forest loss (as a proxy for deforestation) inside parks to matched unprotected control sites. Although significant geographical variation existed among parks, the majority of African parks had significantly less forest loss within their boundaries (e.g., Mahale Park had 34 times less forest loss within its boundary) than control sites. Accessibility was a significant driver of forest loss. Relatively inaccessible areas had a higher probability (odds ratio >1, p < 0.001) of forest loss but only in ineffective parks, and relatively accessible areas had a higher probability of forest loss but only in effective parks. Smaller parks less effectively prevented forest loss inside park boundaries than larger parks (T = ?2.32, p < 0.05), and older parks less effectively prevented forest loss inside park boundaries than younger parks (F_2,154 = ?4.11, p < 0.001). Our analyses, the first individual and national assessment of park effectiveness across Africa, demonstrated the complexity of factors (such as geographical variation, accessibility, and park size and age) influencing the ability of a park to curb forest loss within its boundaries.