玉米的产量因素分析

本文通过对玉米产量和玉米各生育期长度、茎杆重、籽粒茎杆比等产量因素的分析,找到影响玉米最终产量形成的主要因素是乳熟至成熟期长度及茎杆重,即只有经过充分营养生长且有足够籽粒成熟时间的玉米才能获得高产。     

Multi-Year Simulations and Experimental Seasonal Predictions for Rainy Seasons in China by Using a Nested Regional Climate Model （RegCM_NCC） Part Ⅱ： The Experimental Seasonal Prediction

A nested regional climate model has been experimentally used in the seasonal prediction at the China National Climate Center (NCC) since 2001. The NCC/IAP (Institute of Atmospheric Physics) T63 coupled GCM (CGCM) provides the boundary and initial conditions for driving the regional climate model (RegCM NCC). The latter has a 60-km horizontal resolution and improved physical parameterization schemes including the mass flux cumulus parameterization scheme, the turbulent kinetic energy closure scheme (TKE) and an improved land process model (LPM). The large-scale terrain features such as the Tibetan Plateau are included in the larger domain to produce the topographic forcing on the rain-producing systems. A sensitivity study of the East Asian climate with regard to the above physical processes has been presented in the first part of the present paper. This is the second part, as a continuation of Part I. In order to verify the performance of the nested regional climate model, a ten-year simulation driven by NCEP reanalysis datasets has been made to explore the performance of the East Asian climate simulation and to identify the model’s systematic errors. At the same time, comparative simulation experiments for 5 years between the RegCM2 and RegCM NCC have been done to further understand their differences in simulation performance. Also, a ten-year hindcast (1991–2000) for summer (June–August), the rainy season in China, has been undertaken. The preliminary results have shown that the RegCM NCC is capable of predicting the major seasonal rain belts. The best predicted regions with high anomaly correlation coefficient (ACC) are located in the eastern part of West China, in Northeast China and in North China, where the CGCM has maximum prediction skill as well. This fact may reflect the importance of the largescale forcing. One significant improvement of the prediction derived from RegCM NCC is the increase of ACC in the Yangtze River valley where the CGCM has a very low, even a negative, ACC. The reason behind this improvement is likely to be related to the more realistic representation of the large-scale terrain features of the Tibetan Plateau. Presumably, many rain-producing systems may be generated over or near the Tibetan Plateau and may then move eastward along the Yangtze River basin steered by upper-level westerly airflow, thus leading to enhancement of rainfalls in the mid and lower basins of the Yangtze River. The real-time experimental predictions for summer in 2001, 2002, 2003 and 2004 by using this nested RegCM NCC were made. The results are basically reasonable compared with the observations.     

中国南海一株固氮类芽孢杆菌的筛选和分离鉴定

为了解中国南海海洋自生固氮菌的种类,作者对采集的南海海底淤泥样品进行了固氮微生物的分离、筛选及鉴定。经过土样沸水加热处理,无氮培养基平板初筛后,对分离获得的细菌固氮酶结构基因nif H进行扩增,并对其固氮酶活性进行检测,最终获得一株能够产芽孢的固氮细菌。对该菌株进行生理生化性状测定、16S r DNA序列分析(Gen Bank登录号KJ627376),并基于nif H、16S r DNA系统进化树分析,确定该菌为一株固氮类芽孢菌(Paenibacillus sp.)NH-1。本研究表明固氮类芽孢杆菌在海洋中确有分布,海洋自生固氮菌的多样性远远超出人们之前的认识。     

生态系统服务协同权衡对影响因子的空间响应——以福建省生态功能区为例

全球生态系统服务(ecosystem services,ESs)大幅衰退,迫切需要正确的环境治理政策.为解决当前中国生态环境治理存在的缺少以生态功能区为单位的统筹规划和缺乏对ESs协同权衡的深入理解两个问题,以生态功能区为研究单元,测定4项ESs(粮食生产(grain production,GP)、植物固碳(carbo...     

低高度角大气静力学延迟修正的改进

进行低高度角观测是GPS(Global Positioning System)气象学的发展趋势,其中发展高精度的低高度角的大气静力学延迟修正是主要的关键技术.比较了3种计算无线电波从空间到地面接收机的大气静力学延迟修正方法:(1)在大气球对称假设下用探空气球资料路径积分得到大气静力学延迟;(2)在大气球对称假设下用NCEP(National Centers for Environmental Prediction)再分析资料得到大气静力学延迟;(3)用Niell的大气静力学映射函数得到大气静力学延迟.与2001年中国地区89个探空气球站资料计算得到的大气静力学映射函数比较结果显示:NCEP再分析资料路径积分的方法在低高度角(5°以下)的精度好于Niell映射函数模型约5倍.     

可口革囊星虫(Phascolosoma esculenta)铁结合

以克隆获得的可口革囊星虫(Phasolosma esculenta)、枝吻纽虫(Dendrorhynchus zhejiangensis)、泥蚶(Tegillarca granosa)、缢蛏(Sinonovacula constricta)、仿刺参(Apostichopus japonicus)和白肛海地瓜(Acaudina leucoprocta)6种无脊椎动物的铁结合蛋白基因为基础, 通过NCBI检索下载相应的氨基酸序列, 采用SingalP程序查找信号肽, 用TMHMM程序搜寻预测跨膜区, 采用Clustal W程序多序列比对, 构建进化树。对其编码蛋白的信号肽、跨膜区以及磷酸化位点等进行分析。结果表明, 6种动物的铁结合蛋白都没有信号肽, 也无跨膜区, 不可能是膜上的受体或定位于膜上, 均为胞外蛋白。泥蚶的ferritin有4个磷酸化位点, 仿刺参ferritin有10个, 枝吻纽虫有8个, 白肛海地瓜有9个, 可口革囊星虫和缢蛏的ferritin未搜寻到磷酸化位点。6种铁结合蛋白的疏水性有一定的差异, 最大值在1.0—1.6之间, 最小值在?3.3—?2.8之间。可口革囊星虫和仿刺参的铁结合区域特征序列完全相同, 与文昌鱼、缢蛏、泥蚶、牡蛎、盘鲍有2个氨基酸差异, 与人、小家鼠和叉尾有1个氨基酸差异。     

土水特征曲线(SWCC)的滞回特性模拟研究

为了模拟非饱和土的水力、力学特性在多次降雨、蒸发过程中的变化特性,本文以传统域模型的基本原理为基础,推到得到了一个能够模拟SWCC滞后性的计算模型,该模型计算方法简单,易于通过程序实现,且通过与试验数据和其他模型的计算结果对比,验证了该模型的合理性,同时,这个模型可为研究在复杂吸力变化状态下非饱和土的渗流特性、强度特性以及本构模型的研究打下一定的基础。     

基于多源数据的城市活力与建成环境非线性关系研究——以双休日武汉市主城区为例北大核心CSCD

通过优化城市建成环境来营造和发展城市活力是建设充满活力的城市空间的重要举措。论文以双休日武汉市主城区为例,使用人口热力数据量化城市活力的时空分布特征;选用基于梯度提升决策树的SHAP可解释性模型(gradient boosting decision tree-Shapley additive explanations,GBDT-SHAP)测算城市建成环境对城市活力的非线性影响,并提取关键变量的最佳阈值。结果表明:(1)双休日武汉市主城区城市活力的分布具有明显的时间、空间和功能异质性。城市活力在空间上整体呈现出“中心高、外围低”的特征;在时间上,从7:00开始逐渐提升,下午和晚间达到顶峰。(2)武汉市主城区建成环境显著影响了城市活力强度,且其非线性影响和阈值效应明显:大型商圈的影响阈值大致在3000~4000 m,地铁对城市活力的影响主要在城市内部且地铁站服务范围在1500 m以内,POI混合度超过0.4后会抑制城市活力。SHAP模型弥补了传统多元线性模型在可解释性上的不足。(3)到CBD的距离、离地铁站距离、天空开敞度以及商业类型存在时间驱动效应,随时间变化对城市活力的影响重要性会发生相应变化。研究结果可为武汉市主城区城市规划设计提供依据:贯彻公共交通为导向的开发理念,做好地铁交通与大型商圈的衔接,是增强城市活力的有效措施;设置户外开放空间,有利于促进居民晨练和社会活动;增加小型餐饮和娱乐场所也是增强夜间活力的措施。     

海洋监测数据质量评估系统研究

文章根据海洋监测数据应用的业务需求,对适用于海洋监测数据特点的异常数据筛选质量评估模式和模型进行了探讨研究,构建了海洋监测数据质量评估系统,实现了监测数据的自动分析和质量评估等功能。     

基于卫星高度计的北极海冰厚度变化研究

A modified algorithm taking into account the first year(FY) and multiyear(MY) ice densities is used to derive a sea ice thickness from freeboard measurements acquired by satellite altimetry ICESat(2003–2008). Estimates agree with various independent in situ measurements within 0.21 m. Both the fall and winter campaigns see a dramatic extent retreat of thicker MY ice that survives at least one summer melting season. There were strong seasonal and interannual variabilities with regard to the mean thickness. Seasonal increases of 0.53 m for FY the ice and 0.29 m for the MY ice between the autumn and the winter ICESat campaigns, roughly 4–5 month separation, were found. Interannually, the significant MY ice thickness declines over the consecutive four ICESat winter campaigns(2005–2008) leads to a pronounced thickness drop of 0.8 m in MY sea ice zones. No clear trend was identified from the averaged thickness of thinner, FY ice that emerges in autumn and winter and melts in summer. Uncertainty estimates for our calculated thickness, caused by the standard deviations of multiple input parameters including freeboard, ice density, snow density, snow depth, show large errors more than 0.5 m in thicker MY ice zones and relatively small standard deviations under 0.5 m elsewhere. Moreover, a sensitivity analysis is implemented to determine the separate impact on the thickness estimate in the dependence of an individual input variable as mentioned above. The results show systematic bias of the estimated ice thickness appears to be mainly caused by the variations of freeboard as well as the ice density whereas the snow density and depth brings about relatively insignificant errors.