基于GF-1卫星的海上溢油定量监测——以青岛溢油事故为例

基于GF-1卫星数据对2013年11月22日青岛黄潍输油管道爆炸造成的海面溢油进行定量监测。研究首先采用2013年11月26日GF-1卫星数据对海面溢油进行提取,其统计面积为0.67 km2;其次,结合肖剑伟提出的油膜厚度单波段反演模型估算油膜厚度,最终计算得到溢油量为0.28 t;最后,对Band 1反射率与油膜厚度结果进行灰度分割,将溢油污染程度分为6级,对比发现两者分级结果较为一致。由此得出,通过反射率直接进行灰度分割可以对溢油污染进行有效的等级评定。     

中国冷杉、云杉和落叶松属植物的地理分布

根据大量的植被分布资料,利用地理信息系统软件,将经纬度投影的中国地图划分为1×1°的经纬网格,直观地把冷杉、云杉和落叶松3属的植物分布显示在中国地图上,并对其分布及其丰富度进行分析。结果表明,川丁滇北是3属植物共同的现代分布中心;3属植物垂直分布的海拔高度随纬度增加而降低,沿经度方向,由于青藏高原的存在,在经度95～105°E之间存在高度分布极大值,而这种变化趋势由于复杂的生境出现而常常遭到破坏。文章还简要分析了3属植物分布格局的关系以及3属分布格局的地史成因。     

Variations in annual winter mean temperature in South China since 1736

Modern meteorological observations in South China from 1960 to 2009 show a strong correlation between winter temperatures and two snowfall parameters, the southern boundary of the snow and the number of snowy days. Based on this relationship, the variation in annual winter mean temperature in South China from 1736 to 2009 was reconstructed using data acquired from Chinese historical documents dating from the Qing dynasty, such as memos and local gazettes. The reconstructed time series were used to analyse variations in winter temperature in South China. Significant interannual and interdecadal changes were found. The maximum temperature difference between neighbouring years was 3.1 °C for 1958–2009 and 3.0 °C for 1736–1957, whereas the maximum temperature difference between adjacent decades was 0.8 °C for the 1960s–2000s and 0.6 °C for the 1740s–1950s. The 2000s was the warmest decade; the mean temperature was 1.6 °C higher than that of the 1870s, which was the coldest decade between the 1740s and the 2000s. The mean winter temperature was warmer in the 18th and 20th centuries and coldest in the 19th century.     

污染企业/产业转移的特征、模式与动力机制

污染企业/产业的转移不仅重塑了区域发展格局,也改变了环境污染的分布,对区域可持续发展产生了显著影响。探讨污染企业/产业转移对于污染治理和区域协调发展具有重要意义。基于对相关文献的梳理,系统归纳了污染企业/产业的概念和类别,总结了污染企业/产业的转移特征、模式和动力机制。研究表明：① 官方文件、污染排放强度、污染排放规模是污染产业界定和分类的主要依据。② 污染企业/产业在不同的地理尺度上形成不同的转移模式：在城市内部形成分散式外围区转移、集中式功能区转移、远离敏感区转移三种模式;在省内城市间呈现出由发达城市向欠发达城市、由环境规制强的核心区向环境规制弱的边缘区的转移特征。邻省转移模式以经济较发达和环境规制较强的省份为中心,向邻近省份扩散,并形成向多省交界处、由河流上游省份向下游省份、沿交通线向次级城市的三种转移路径。跨省转移形成成本导向型、市场扩张型和政策推动型三种模式。③ 污染企业/产业的转移方向呈现出一定的特征和模式,包括区域、地理、经济、功能区、政策5种研究视角和15种转移方向。④ 污染企业的迁移方式包括整体迁移和部分迁移两种模式,后者包括迁移生产基地、工序外包、绿色并购与对外收购、建立子公司或分厂等。⑤ 影响污染企业/产业转移的因素既包括经济、社会、地理、政策等单因素,也包括多种因素的交互作用。在多维的复杂影响机制中,政府扮演了重要角色,企业的异质性、空间集聚效应、制度等都产生了重要的影响。最后讨论了国内相关研究的不足,并在此基础上提出一些思考和建议。     

中国区域DMSP-OLS与NPP-VIIRS夜间灯光影像校正

本文基于对传统不变目标区域校正法的改进,选择4期辐射定标参考影像对DMSP-OLS影像进行了饱和校正与时间序列连续性校正。通过阈值法去除了NPP-VIIRS影像的背景噪声及异常值,利用对数变换压缩了其灯光辐射值的动态范围,使其亮度分布更接近于DMSP-OLS数据。利用BiDoseResp函数模型对NPP-VIIRS影像进行了一致性校正,获得了1992-2019年长时间序列夜间灯光影像。从定性、定量及校正影像与社会经济参量的相关性方面对校正结果进行了精度验证。结果表明,改进后的校正方法改善了DMSP-OLS影像饱和严重的现象,使其获得了长时间序列纵向可比性。BiDoseResp函数模型可以很好地拟合DMSP-OLS和对数变换后的NPP-VIIRS之间的回归。校正后的长时间序列灯光影像数据与社会经济参量高度契合。校正结果对推广长时间序列夜间灯光影像的广泛应用、深化长时间序列科学问题的研究具有重要价值。     

中国历史时期气候变化影响及其应对的启示简

The social impact of global climate change is one of the hotspots in the current research. To deal with the challenges from climate change, it could be learned from the adapting experiences and lessons to climate change in the history. The main achievements of cognition on the historical impacts of climatic change in China and on coping with the climate changes in the future based the published papers in recent years is summarized. The followings are the main conclusions. ①The general characteristics of the impacts of climatic change in the history was negative in the cold periods and positive in the warm periods, but there were regional differences in the impact and responses. ②The cooling trend on centurial scale and the social economic decline run concurrently. The rapid development supported by better resources and environment in the warm period could lead to the increase of the social vulnerability when the climate turned to the cold period. ③Strategies and policies to cope with the climate change in the history were adopted according to the temporal and spatial circumstances and the subjects. Initiative adaptation promoted by governments was an effective way.     

Gridded reconstruction of the population in the traditional cultivated region of China from 1776 to 1953

Using modern census and environmental factor data,this study first identified the environmental factors that significantly affect the population distribution through Geodetector analysis and then constructed a population spatial distribution model based on the random forest regression algorithm.Finally,with this model and historical population data that were examined and corrected by historians,gridded population distributions with a spatial resolution of 10 km by 10 km in the traditional cultivated region of China(TCRC,hereafter)were reconstructed for six time slices from 1776 to 1953.Using the reconstruction dataset,the spatiotemporal characteristics of the population distribution were depicted.The results showed that(1)the environmental factors that significantly affected the population density differences among counties in the TCRC mainly consisted of elevation,slope,relief amplitude,distances to the nearest prefectural and provincial capitals,distance to the nearest river and the climatology moisture index.(2)Using the census data of 1934 counties in the TCRC in 2000 and the abovementioned environmental factor data,a random forest regression algorithm-based population spatial distribution model was constructed.Its determination coefficient(R²)is 0.81.In 88.4%of the counties(districts),the relative errors of the model predictions were less than 50%.(3)From 1776 to 1953,the total population in the study area showed an uptrend.Prior to 1851,the population increased mainly in the Yangtze River Delta.During this period,the number of grid cells in which the population densities were greater than 500 persons per km² increased from 292 to 683.From 1851 to 1953,the population increased extensively across the study area.In the North China Plain and the Pearl River Delta,the number of grid cells in which the population densities were greater than 500 persons per km² increased from 36 to 88 and from 4 to 35,respectively.The spatial clustering pattern of the population distribution varied temporally.The potential reasons included the shifts in economic development hot spots,traditional beliefs,wars,famine,and immigration policies.(4)Between our reconstructions and the HYDE dataset,there are large differences in the data sources,selected environmental factors and modeling methods.As a consequence,in comparison to our reconstructions,there were fewer populations in the eastern area and more populations in the western area from 1776 to 1851 and more populations in urban areas and fewer populations in rural areas after 1851 in the HYDE dataset.     

华中地区历史物候记录与1850-2008年的气温变化重建

根据历史日记中的华中地区春季植物物候、清代档案中的湖南4地降雪日数记载和区内5个树轮宽度年表,以及植物物候期、雪日观测记录等代用资料;以器测的华中整个地区的逐年气温距平为校准序列,采用逐步回归方法,结合逐一剔除法验证和方差匹配技术,重建了1850-2008年华中地区年均气温变化序列。结果表明:1自1850年以来,华中地区气温变化以年际至年代尺度波动为主要特征;但至1990年以后则迅速增暖,并超出了原有的年代际波动水平;而1920s中期至1940s中期的温暖尽管也持续了20年,但其温暖程度显著低于1990s-2000s。其间,最寒冷年代则分别出现在1860s、1890s及1950s,最寒冷的年份为1893年。2华中地区1850年以来的气温年代际波动周期为10~20年和准35年,其中1920s以前主要为12~14年,但自1940s开始则转为18~20年以及准35年。