青藏高原月NDVI时空动态变化及其对气候变化的 响应

青藏高原脆弱的高寒植被对外界干扰十分敏感,使其成为研究植被对气候变化响应的理想区域之一。青藏高原气候变化剧烈,在较短的合成时间研究气候变化对植被的影响十分必要。因此,本文利用GIMMS NDVI时间序列数据集,研究了1982-2012年青藏高原生长季月尺度植被生长的时空动态变化,探讨了其与气温、降水量和日照时数等气候因子的响应关系。结果表明：在区域尺度上,除8月外,其他各月份植被均呈增加趋势,显著增加多发生在4-7月和9月;大部分月份的NDVI增加速率随着时段的延长显著减小,表明NDVI增加趋势放缓;在像元尺度上,月NDVI显著变化的区域多呈增加趋势,但显著减少范围的扩张多快于显著增加。4月和7月植被生长主要是受气温和日照时数共同作用,6月和9月受气温的控制,而8月则主要受降水量的影响。长时间序列NDVI数据集的出现为采用嵌套时段研究植被生长变化趋势奠定了前提,而植被活动变化趋势的持续性则有助于形象表征植被活动变化过程、深入理解植被对气候变化的响应和预测植被未来生长变化趋势。由此推测,青藏高原月NDVI未来增加趋势总体上趋于缓和,但在像元尺度显著变化的区域趋于增加。     

基于加权约束的单体建筑物点云表面重建算法

建筑物点云表面重建在高精度城市测绘、虚拟现实等领域有十分广泛的应用前景。由于建筑物的几何形态多变,重建算法普遍存在计算速率慢、拟合精度低和模型结构不完整的问题。为此,本文以单体建筑物为研究对象,提出基于加权约束的单体建筑物点云表面重建算法,在表面初始化过程中充分考虑数据对结构拟合的贡献。在此基础上,构建基于正则集的单体建筑物表面重建算法,实现建筑物拟合过程中的加权拟合误差、近邻结构平滑的同步优化。针对多类建筑物三维点云的实验结果表明,相比传统的建筑物重建策略,本文的加权约束方法可根据不同类型的点云数据设计自适应权重,并选择模型拟合中最优的权重函数,在高噪声、低精度点云数据下能得到更高精度的单体建筑物表面模型。     

Selective feeding of bay scallop Argopecten irradians on phytoplankton community revealed by HPLC analysis of phytopigments in Bohai Sea,China

Understanding the feeding selectivity on phytoplankton by shellfish is currently a big challenge.In order to investigate the feeding behavior of bay scallop(Argopecten irradians)on phytoplankton,we compared its compositions of phytopigments in digestive glands with those in the surrounding seawater,and conducted five consecutive investigations between July and November 2016 in a bay scallop culture area along coast of Qinghuangdao City,northwest of the Bohai Sea,China.Phytopigments in four-size fractionated phytoplankton of seawater(micro-(20-200 μm);nano(L)-[10-20 μm];nano(S)-[2.7-10 μm],and pico-[2.7 μm])and digestive glands of A.irradians were examined to investigate the selective feeding of A.irradians.Results show that fucoxanthin and peridinin constituted the major part of taxonomically diagnostic carotenoids(TDCs)in the micro-and nano(L)-phytoplankton in seawater.Compared with total phytoplankton biomass of seawater(TPB,sum of the four sizes),a substantial decrease of fucoxanthin proportion to total DCs in digestive glands was observed while that of peridinin,19'-butanoyloxyfucoxanthin,alloxanthin and 19'-hexanoyloxy-fucoxanthin showed an obvious increase when those pigments were mainly confined to micro-sized phytoplankton(20-200 μm).However,zeaxanthin and prasinoxanthin were mainly confined to nano(s)-and pico-phytoplankton,of which the proportions in digestive glands were usually lower in TPB.The contribution of lutein to total DCs in digestive glands(with an average of 7.23%)increased compared with TPB of seawater(with an average of 0.63%)during all five sampling times.     

Examining the Relationship Between Spatial Configurations of Urban Impervious Surfaces and Land Surface Temperature

The urban heat island(UHI) effect has significant effects on the quality of life and public health. Numerous studies have addressed the relationship between UHI and the increase in urban impervious surface area(ISA), but few of them have considered the impact of the spatial configuration of ISA on UHI. Land surface temperature(LST) may be affected not only by urban land cover, but also by neighboring land cover. The aim of this research was to investigate the effects of the abundance and spatial association of ISAs on LST. Taking Harbin City, China as an example, the impact of ISA spatial association on LST measurements was examined. The abundance of ISAs and the LST measurements were derived from Landsat Thematic Mapper(TM) imagery of 2000 and 2010, and the spatial association patterns of ISAs were calculated using the local Moran’s I index. The impacts of ISA abundance and spatial association on LST were examined using correlation analysis. The results suggested that LST has significant positive associations with both ISA abundance and the Moran’s I index of ISAs, indicating that both the abundance and spatial clustering of ISAs contribute to elevated values of LST. It was also found that LST is positively associated with clustering of high-ISA-percentage areas(i.e.,>50%) and negatively associated with clustering of low-ISA-percentage areas(i.e.,<25%). The results suggest that, in addition to the abundance of ISAs,their spatial association has a significant effect on UHIs.     

我国经营性海洋牧场产业链延伸研究

我国经营性海洋牧场产业目前主要以育苗、养殖、捕捞、生产、加工的产业链形式存在,文章在分析经营性海洋牧场发展制约因素的基础上,对于海产品产业链的延伸进行研究并提出建议:在苗种培育产业的基础上延伸出"参与式观光业",在开展养殖业的同时兼并实施新产业"DIY养殖业",产品收获后进行"精深加工业"的同时开展"观光旅游业",销售行业采取线上线下与企业之间结合的"O2O+B2B"模式,面向客户方面鼓励新机构即"反馈机构"的建立与推广,拓展休闲渔业产业,发展新型休闲渔业。通过产业链延伸,旨在开拓海产品的市场空间,以期获取更多的经济效益,提升海洋牧场综合效益。     

“串珠成链”的粤港澳大湾区发展路径

为促进粤港澳大湾区的发展,提高其国际综合竞争力,文章在分析粤港澳大湾区发展条件的基础上,针对面临的问题,提出发展建议。研究结果表明:丰富的自然资源、集聚的城市经济和众多的渔港渔村为粤港澳大湾区的发展提供优越条件,但该区域发展面临资源要素分散和生态环境压力大等问题;对此,应树立"串珠成链"的发展思路,打造粤港澳大湾区6条重要发展链,即依托高(快)速铁路的"城镇链"、依托高(快)速公路的"产业链"、依托互联网的"创新链"、依托航道网络的"物流链"、依托滨海公路的"旅游链"和依托生态廊道的"生态链"。     

一种基于定位和姿态数据确定试验船质心的方法

针对试验舰质心确定困难问题,提出了一种基于定位和姿态数据的试验舰质心确定方法。通过建立试验舰姿态与传感器中心诱导升沉的关系,推导出了试验舰锚泊状态下质心在船固坐标系中位置的解算模型。实验结果表明,采用本方法进行试验舰质心确定不需添测深仪以外的设备,确定的试验舰质心具有较高的精度,能明显地提高舰载无人飞行器惯导对准效率。     

日照豪迈码头港池布局对泥沙输移影响研究

港池的布局会改变其周边海域水动力条件及其泥沙冲淤状况,为了进一步了解其影响程度,本文以山东日照豪迈重工临港厂区运输码头的改造工程为研究对象,利用平面二维数值模型MIKE21/3 Integrated Models,建立了潮流和波浪耦合作用下的泥沙输移数值模型,对该工程附近海域进行了波浪、潮流和泥沙输移的数值模拟。同时采用实测数据对数值模型进行了验证,数值模拟结果与实测资料拟合较好,表明MIKE21能有效地模拟运输码头及其周围海域潮流的变化过程。以日照豪迈重工临港厂区运输码头为依托,基于数值模拟结果,分析不同改造方案下的水动力条件和泥沙冲淤状况。结果表明:港池布局对水动力条件影响甚微,对地形地貌冲淤影响较大;模拟结果确定港池南向开口为最佳改造方案,为工程的规划和设计提供科学依据。     

中国上市公司的时空变化及机制研究

针对在中国地区发展不均衡的态势下,上市公司分布格局时空演变问题,该文对2009-2017年中国大陆各省上市公司的数量和总资产采用Local Moran’s I指数与Getis-Ord Gi*统计量进行研究,分析了中国大陆上市公司的空间分布格局和时间演变趋势,总结出中国上市公司相关指标的高值聚集和高低聚集分布格局、热点区域及其经济辐射能力。并且以北京、上海和广东为热点区域典型代表,从上市公司产业结构和区域经济发展两方面对时空变化机制的成因进行深入探讨。