立式储液罐地震破坏快速评估方法

本文采用大型有限元程序ANSYS对立式储液罐的地震反应进行了非线性数值分析,考虑了罐体和内部液体的相互作用,得到了3个不同容积的储罐,在不同峰值的地震动时程输入下的反应结果。结合地震灾害中立式储罐的地震破坏现象和特点,以及现有的立式储罐地震破坏预测方法,提出了立式储罐的地震破坏快速评估方法。     

广州市南沙区万顷沙网河区排涝调蓄演算研究

快速城市化进程改变了城市地区原有下垫面,不透水层面积增加,暴雨期间汇流时间缩短,洪峰流量加大,进而导致城市内涝加剧,严重影响城市的防洪安全.本研究以广州市南沙区万顷沙网河区为研究对象,基于水量平衡的调蓄演算方法,对研究区域蓄排设施的规模进行分析;构建MIKE11一维网河模型,对涝区水情进行模拟,校核排涝工程规模,并对工...     

Changjiang River sediment delivering into the sea in response to water storage of Sanxia Reservoir in 2003

1 IntroductionHuman activitieshavebeen stronglyaffecting theworld river sedimentsupply to the oceans since the19thor20thcentury(StanleyandW arne,1993;Fanos,1995;Sm ithandW inkley,1996;Stanley,1996;Yang,Shi,etal.,2004;Yang,Zhao,etal.,2002).Thesedi-m enttra…     

生物土壤结皮铁代谢微生物组成及其功能基因对演替的响应

采用微生物宏基因组学微阵列GeoChip 5.0技术,选择腾格里沙漠东南缘沙坡头地区不同年代人工固沙植被区的生物土壤结皮（BSC）为对象,分析BSC演替过程中参与铁代谢的功能微生物组成及其功能基因变化特征,研究微生物铁代谢对BSC演替的响应及调控。结果表明：真菌参与铁吸收和转运过程,古菌参与铁转运和贮存过程,细菌则在铁代谢吸收、转运和贮存过程中均起主要调控作用。门水平上,BSC铁代谢功能微生物组成变化对演替的响应不敏感,BSC铁代谢微生物主要为变形菌门（Proteobacteria）。BSC铁代谢功能基因多样性的显著提高和三类铁代谢过程基因信号强度达到最高水平需要经过61 a的演替。调控BSC铁吸收过程的主要功能基因为亚铁氧化酶编码基因iro;调控原核生物铁转运过程的主要功能基因,为羟基苯甲酰丝氨酸铁外膜转运体编码基因cirA和Fe（Ⅱ）转运蛋白编码基因feoB,真菌铁转运过程主要依靠含铁细胞转运体和铁氧化酶高亲和力的作用;调控铁贮存过程的主要功能基因为固定相类核蛋白编码基因dps。在BSC演替阶段末期,上述铁代谢功能基因强度的显著增加促进了微生物的铁代谢潜能。干旱、半干旱荒漠生态系统植被恢复过程中微生物铁代谢潜能的恢复需要较长时间。     

降雨量、土壤蓄水量对流动沙地土壤水分深层渗漏的影响

土壤水分深层渗漏是陆地近地层水分循环的重要环节。利用土壤水分深层渗漏记录仪对毛乌素沙地典型流动沙丘不同深度土层的土壤渗漏水量连续进行两年定点监测。结果表明：（1）2016年生长季（4月1日至10月31日）降水量为2017年的1.93倍,但50、100、200 cm沙层的渗漏水量分别是2017年同期的4.53、5.53,5.22倍。同时,渗漏水量与降雨量及土壤蓄水量的波峰较一致。（2）强降雨对深层渗漏水量的影响较大,土壤蓄水量的变化也与深层渗漏水量密切相关;降雨量较小时,土壤蓄水量与深层渗漏水量之间的关系更为密切。在连续降雨过程中,越往深处,渗漏的产生通常是多次降雨过程累积的结果,将土壤蓄水量作为中间变量,能更好地分析土壤深层渗漏过程。（3）当天蓄水量与次日渗漏水量的相关系数较高,土层越深,深层渗漏水量与土壤蓄水量的相关系数增加,二者之间的线性拟合的R²也相应增加。     

Ecosystem carbon storage under different scenarios of land use change in Qihe catchment,China

Regional land use change is the main cause of the ecosystem carbon storage changes by affecting emission and sink process.However,there has been little research on the influence of land use changes for ecosystem carbon storage at both temporal and spatial scales.For this study,the Qihe catchment in the southern part of the Taihang Mountains was taken as an example;its land use change from 2005 to 2015 was analyzed,the Markov-CLUE-S composite model was used to predict land use patterns in 2025 under natural growth,cultivated land protection and ecological conservation scenario,and the land use data were used to evaluate ecosystem carbon storage under different scenarios for the recent 10-year interval and the future based on the carbon storage module of the In VEST model.The results show the following:(1) the ecosystem carbon storage and average carbon density of Qihe catchment were 3.16×107 t and 141.9 t/ha,respectively,and decreased by 0.07×107 t and 2.89 t/ha in the decade evaluated.(2) During 2005–2015,carbon density mainly decreased in low altitude areas.For high altitude area,regions with increased carbon density comprised a similar percentage to regions with decreased carbon density.The significant increase of the construction areas in the middle and lower reaches of Qihe and the degradation of upper reach woodland were core reasons for carbon density decrease.(3) For 2015–2025,under natural growth scenario,carbon storage and carbon density also significantly decrease,mainly due to the decrease of carbon sequestration capacity in low altitude areas;under cultivated land protection scenario,the decrease of carbon storage and carbon density will slow down,mainly due to the increase of carbon sequestration capacity in low altitude areas;under ecological conservation scenario,carbon storage and carbon density significantly increase and reach 3.19×107 t and 143.26 t/ha,respectively,mainly in regions above 1100 m in altitude.Ecological conservation scenario can enhance carbon sequestration capacity but cannot effectively control the reduction of cultivated land areas.Thus,land use planning of research areas should consider both ecological conservation and cultivated land protection scenarios to increase carbon sink and ensure the cultivated land quality and food safety.     

不动产空间数据二三维一体化存储设计与应用探讨

通过对不动产空间数据和ArcGIS的GeoDatabase数据模型的分析,设计了不动产登记空间数据成果二三维数据统一存储的规则和方法,从而为不动产登记成果的二三维系统应用提供了数据支撑。     

Improving the prediction of extreme FPSO hawser tension,using another highly correlated hawser tension with a longer time record

The floating production storage and offloading unit (FPSO) is an offshore vessel that produces and stores crude oil prior to tanker transport. Robust prediction of extreme hawser tensions during the FPSO offloading operation is an important safety concern. Excessive hawser tension may occur during certain sea conditions, posing an operational risk. In this paper, the finite element method (FEM) software ANSYS AQWA has been employed to analyze vessel response due to hydrodynamic wave loads, acting on a specific FPSO vessel under actual sea conditions.In some practical situations, it would be useful to improve the accuracy of some statistical predictions based on a certain stochastic random process, given another synchronous highly correlated stochastic process that has been measured for a longer time, than the process of interest. In this paper, the issue of improving extreme value prediction has been addressed. In other words, an efficient transfer of information is necessary between two synchronous, highly correlated stochastic processes. Two such highly correlated FPSO hawser tension processes were simulated in order to test the efficiency of the proposed technique.     

大连温带海域潮间带底栖海藻固碳和储碳潜力模拟研究

底栖海藻是海洋生态系统中重要的初级生产力,开展其固碳和储碳机制研究,有利于提高对我国海域海洋固碳和储碳潜力的认识。本文基于海区条件的模拟,开展了大连海域潮间带优势海藻的日固碳量、日呼吸量和日有机碳释放量的测定,结合海区生物量的调查,阐述了3个海藻床潮间带海藻固碳和储碳的季节变化规律。结果显示:在海藻固碳能力方面,绿藻类的固碳能力最强,褐藻类次之,红藻类最低。大连海域潮间带海藻的固碳量、储碳量和有机碳释放量在12月至5月处于较高水平,6月至11月较低,平均每个海藻床潮间带区域年固碳量和年有机碳释放量分别为1.72×105 g/a和2.1×104 g/a。潮间带海藻月固碳量是储碳量的1.7倍。     

Impact of dynamic feedbacks between sedimentation,sea-level rise,and biomass production on near-surface marsh stratigraphy and carbon accumulation

Salt marshes accrete both organic and inorganic sediments. Here we present analytical and numerical models of salt marsh sedimentation that, in addition to capturing inorganic processes, explicitly account for above- and belowground organic processes including root growth and decay of organic carbon. The analytical model is used to examine the bias introduced by organic processes into proxy records of sedimentation, namely ¹³⁷Cs and ²¹⁰Pb. We find that accretion rates estimated using ²¹⁰Pb will be less than accretion rates estimated using the ¹³⁷Cs peak in steadily accreting marshes if (1) carbon decay is significant and (2) data for ²¹⁰Pb extend below the ¹³⁷Cs peak. The numerical model expands upon the analytical model by including belowground processes such as compaction and root growth, and by explicitly tracking the evolution of aboveground biomass and its effect on sedimentation rates. Using the numerical model we explore how marsh stratigraphy responds to sediment supply and the rate of sea-level rise. It is calibrated and tested using an extensive data set of both marsh stratigraphy and measurements of vegetation dynamics in a Spartina alterniflora marsh in South Carolina, USA. We find that carbon accumulation in marshes is nonlinearly related to both the supply of inorganic sediment and the rate of sea-level rise; carbon accumulation increases with sea-level rise until sea-level rise reaches a critical rate that drowns the marsh vegetation and halts carbon accumulation. The model predicts that changes in carbon storage resulting from changing sediment supply or sea-level rise are strongly dependent on the background sediment supply: if inorganic sediment supply is reduced in an already sediment poor marsh the storage of organic carbon will increase to a far greater extent than in a sediment-rich marsh, provided that the rate of sea-level rise does not exceed a threshold. These results imply that altering sediment supply to estuaries (e.g., by damming upstream rivers or altering littoral sediment transport) could lead to significant changes in the carbon budgets of coastal salt marshes.