三维绿色生物量的遥感模式研究与绿化环境效益估算

本文从理论和技术上叙述了绿量的遥感模式研究和绿化环境效益估算，并取得了以下几个方面的进展：（１）提出了绿量的概念，进一步完善了城市绿化的量化指标体系；（２）成功地修正了“逻辑斯蒂曲线”方程，并以平面量模拟立体量的方法测算了上海市全市的绿量，不仅节省了人力物力，而且提高了精度；（３）提出了模式林的概念及测定了以绿量估算绿化环境效益中所必须的标准换算量；（４）首次用绿量在全市范围估算了绿化群落的吸碳产氧、吸收二氧化硫、滞尘及夏季降温等环境效益。为分析现有绿化群落布局与结构的合理性，及为绿化规划乃至整个城市的总体规划提供了很有价值的技术参数。     

A workflow for Sustainable Development Goals indicators assessment based on high-resolution satellite data

ABSTRACT

For evaluating the progresses towards achieving the Sustainable Development Goals (SDGs), a global indicator framework was developed by the UN Inter-Agency and Expert Group on Sustainable Development Goals Indicators. In this paper, we propose an improved methodology and a set of workflows for calculating SDGs indicators. The main improvements consist of using moderate and high spatial resolution satellite data and state-of-the-art deep learning methodology for land cover classification and for assessing land productivity. Within the European Network for Observing our Changing Planet (ERA-PLANET), three SDGs indicators are calculated. In this research, harmonized Landsat and Sentinel-2 data are analyzed and used for land productivity analysis and yield assessment, as well as Landsat 8, Sentinel-2 and Sentinel-1 time series are utilized for crop mapping. We calculate for the whole territory of Ukraine SDG indicators: 15.1.1 – ‘Forest area as proportion of total land area’; 15.3.1 – ‘Proportion of land that is degraded over total land area’; and 2.4.1 – ‘Proportion of agricultural area under productive and sustainable agriculture’. Workflows for calculating these indicators were implemented in a Virtual Laboratory Platform. We conclude that newly available high-resolution remote sensing products can significantly improve our capacity to assess several SDGs indicators through dedicated workflows.     

Thermal bidirectional gap probability model for row crop canopies and validation

Land surface temperature is a key parameter in monitoring the status of crop water stress by remote sensing, and studying the water and energy balance in cropland ecosystem. The component temperatures of crop and soil are especially significant in remote …     

Biomass Burning in Southern Africa: Individual Particle Characterization of Atmospheric Aerosols and Savanna Fire Samples

Ambient atmospheric aerosols and savanna fireparticulate emission samples from southern Africa werecharacterised in terms of particle classes and theirnumber abundance by electron probe X-ray microanalysis(EPXMA). About ten particle classes were identifiedfor each sample. The major classes werealuminosilicates and sea salts for ambient coarse(2–10 m equivalent aerodynamic diameter (EAD))samples, and K-S and S-only particles for ambient fine(<2 m EAD) samples. The K-S particles are oneof the major products of biomass burning. The EPXMAresults were found to be consistent with the resultsfrom bulk analyses on a sample by sample basis. Forsavanna fire fine samples, quantitative EPXMA revealedthat many particles had a composition of simple saltssuch as KCl. Some particles had a deviatingcomposition in the sense that more ionic species wereinvolved in sustaining the balance between cations andanions, and they were composite or mixed salts.Because of extensive processing during the atmospherictransport, the composition of the K-S particles in theambient samples was different from K₂SO₄,and such particles were enriched with S. The finepyrogenic KCl particles and the fine sea-saltparticles were much depleted in chlorine.     

Seasonal variations and mechanism for environmental control of NEE of CO_2 concerning the Potentilla fruticosa in alpine shrub meadow of Qinghai-Tibet Plateau

The study by the eddy covariance technique in the alpine shrub meadow of the Qing-hai-Tibet Plateau in 2003 and 2004 showed that the net ecosystem carbon dioxide exchange (NEE) exhibited noticeable diurnal and annual variations, with more distinct daily changes during the warmer seasons. The CO2 emission of the shrub ecosystem culminated in April and September while the CO2 absorption capacity reached a maximum in July and August. The absorbed carbon dioxide during the two consecutive years was 231.4 and 274.8 g CO2·m-2 respectively, yielding an average of 253.1 gCO2·m-2 per year: that accounts for a large proportion of absorbed CO2 in the region. Obviously, the diurnal carbon flux was negatively related to temperature, radiation and other atmospheric factors. Still, minute discrepancies in kurtosis and duration of carbon emission/absorption were detected between 2003 and 2004. It was found that the CO2 flux in the daytime was similarly affected by photosynthetic photon flux density in both years. Temperature appears to be the most important determinant of CO2 flux: specifically, the high temperature during the plant growing season inhibits the carbon absorption capacity. One potential explanation is that soil respiration is enhanced under such condition. Analysis of biomass revealed that the annual net carbon fixed capacity of aboveground and belowground biomass was 544.0 in 2003 and 559.4 g Cm"2 in 2004, which coincided with the NEE absorption capacity (63.1 g C·m-2 in 2003 and 74.9 g C·m-2 in 2004) in the corresponding plant growing season.     

生物质燃烧颗粒物有机示踪化合物的测定和应用

使用气相色谱-质谱法对2002年7月-2003年7月的北京市大气粗、细颗粒物样品中的左旋葡聚糖等糖类化合物进行了测定。结果表明，左旋葡聚糖主要存在于细颗粒中，可以作为示踪化合物来研究生物质燃烧现象。生物质燃烧对北京市大气颗粒物有较重要的贡献。对应于12％-40％的PM2.5有机碳和10％-33％的PM10有机碳。北京市在2002年10月和11月受到明显的生物质燃烧的影响，可能由于农田秸杆焚烧和秋季落叶焚烧。2003年5月7日颗粒物样品受到直线距离约为1000km以外的内蒙古自治区呼伦贝尔市大兴安岭林区森林大火烟雾的影响。生物质燃烧事件具有突发性，可以长距离传输；生物质作为农村生物燃料的使用其燃烧排放具有经常性和持久性的特征。     

利用Landsat 5 TM影像估算沉水植物地上生物量的研究——以江西省鄱阳湖国家自然保护区为例

阐述了利用Landsat 5 TM影像在鄱阳湖国家自然保护区进行沉水植物地上生物量估算的方法和过程。研究结果显示，采用该影像，结合传统的采样策略和估算方法进行生物量的估算，在此研究区域中具有一定的局限性。分析了产生这一问题的原因，并对后续的研究工作提出了具体的建议。     

我国农业气象业务引入作物生长模型的前景

国外作物生长模型已广泛应用于农业生产及其相关领域。我国作物生长模型的应用研究也日益成熟。目前，正从研究阶段向业务应用推广阶段转变。为了阐述作物生长模型在农业气象业务中的应用前景，以WOFOST模型为例，简要介绍了国外作物生长模型的核心模块、主要功能和应用现状。在此基础上，分析了我国现行气象业务可为开展作物生长模型应用提供的数据支持，存在的问题以及解决方案。指出作物生长模型在拓展当前我国农业气象业务领域和提升农业气象服务水平等方面前景广阔。     

近28a河南主要农业气象灾害及其影响

利用河南1978-2005年农作物受灾面积资料和新中国成立以来的产量资料，分析了河南主要农业气象灾害的变化特征和对农业生产的影响，结果表明，28a来河南农作物受灾面积呈上升趋势，其阶段性变化为20世纪70年代后期至80年代前期较少，80年代中后期至21世纪初明显增多，最近几年又明显减少。气候条件对农业生产的影响以50年代最有利，80年代次之，70年代较差，60年代最差。     

安徽省旱涝灾害及其对农作物产量影响

通过对建国以来安徽省多种农业气象资料分析，采用Z指数方法建立安徽省旱涝灾害气候判别指标，分析安徽省旱涝灾害发生规律。结果表明:1961—2000年安徽省有13年偏涝、13年偏旱；分区域看，淮北旱多于涝，沿淮、江淮、江南旱涝相当，沿江、大别山区涝多于旱。通过水稻（一季稻）、小麦典型旱涝年灾损率与发育期间气象条件、旱涝程度的对比统计分析，建立了分区水稻、小麦旱涝灾害损失评估模型和指标。春季涝渍灾害是影响安徽省冬小麦产量的主要灾害，其对冬小麦产量的危害程度远大于干旱，尤以4—5月发生的涝渍影响最严重，极重涝渍灾害的减产损失可达4成以上。同时重点研究了春季渍害对冬小麦产量的影响，提出改进的涝渍强度指标Qw，并进一步综合分析作物的敏感性和区域脆弱性对灾损率的影响。对1961—2000年冬小麦灾损率进行的敏感性和脆弱性订正表明，订正后拟合误差平均值和差异变率都明显降低，灾损评估精度得到提高。