热-机碎岩孕镶金刚石钻头的设计及试验研究

为提高钻进效率,合理利用钻进过程中产生的热量,本文采用摩擦热能辅助机械能碎岩（简称：热-机碎岩）的方法,将氮化硅作为摩擦元件引入孕镶金刚石钻头中,以提高钻头工作层的钻进性能。本文通过对钻头水口、摩擦元件的尺寸计算,钻头胎体、结构的设计,制造了一种新型热-机碎岩孕镶金刚石钻头（简称：热-机碎岩钻头）,并与常规六水口钻头和三水口钻头开展了室内钻进试验对比。结果表明,与六水口钻头和三水口钻头相比,热-机碎岩钻头加入摩擦元件后能够因摩擦生热而使岩石产生弱化作用,钻头钻速提高,在相同钻井液流量下最高可比六水口钻头的机械钻速高33.3%。热-机碎岩钻头胎体的磨损程度比三水口钻头小,热-机碎岩钻头可用于强研磨性地层的钻进。     

厚度对月壤微波辐射亮温的影响

基于嫦娥系列卫星微波辐射计数据的月壤厚度反演是中国月球科学研究的重要目标之一。基于辐射传输方程,数值模拟了不同频率、（FeO+TiO₂）含量和表面温度条件下厚度对月壤微波辐射亮温的影响;基于嫦娥二号卫星微波辐射计（Chang’E Lunar Microwave Sounder,CELMS）数据,结合Apollo 计划获取的月壤厚度资料及其他月壤厚度资料,系统分析了厚度对CELMS观测数据的影响。结果表明：频率、（FeO+TiO₂）含量、表面温度对亮温的影响远大于厚度对亮温的影响,是基于CELMS数据进行月壤厚度反演的重要影响因素;低频、低（FeO+TiO₂）含量、低温条件下,厚度对CELMS数据的影响最大;利用3 GHz、凌晨时刻的CELMS数据进行月陆地区月壤厚度反演可行。研究结果对基于嫦娥系列卫星CELMS数据的月壤厚度反演具有重要参考意义。     

Carbon pools and fluxes in the China Seas and adjacent oceans

The China Seas include the South China Sea, East China Sea, Yellow Sea, and Bohai Sea. Located off the Northwestern Pacific margin, covering 4700000 km~2 from tropical to northern temperate zones, and including a variety of continental margins/basins and depths, the China Seas provide typical cases for carbon budget studies. The South China Sea being a deep basin and part of the Western Pacific Warm Pool is characterized by oceanic features; the East China Sea with a wide continental shelf, enormous terrestrial discharges and open margins to the West Pacific, is featured by strong cross-shelf materials transport; the Yellow Sea is featured by the confluence of cold and warm waters; and the Bohai Sea is a shallow semiclosed gulf with strong impacts of human activities. Three large rivers, the Yangtze River, Yellow River, and Pearl River, flow into the East China Sea, the Bohai Sea, and the South China Sea, respectively. The Kuroshio Current at the outer margin of the Chinese continental shelf is one of the two major western boundary currents of the world oceans and its strength and position directly affect the regional climate of China. These characteristics make the China Seas a typical case of marginal seas to study carbon storage and fluxes. This paper systematically analyzes the literature data on the carbon pools and fluxes of the Bohai Sea,Yellow Sea, East China Sea, and South China Sea, including different interfaces(land-sea, sea-air, sediment-water, and marginal sea-open ocean) and different ecosystems(mangroves, wetland, seagrass beds, macroalgae mariculture, coral reefs, euphotic zones, and water column). Among the four seas, the Bohai Sea and South China Sea are acting as CO_2 sources, releasing about0.22 and 13.86–33.60 Tg C yr~(-1) into the atmosphere, respectively, whereas the Yellow Sea and East China Sea are acting as carbon sinks, absorbing about 1.15 and 6.92–23.30 Tg C yr~(-1) of atmospheric CO_2, respectively. Overall, if only the CO_2 exchange at the sea-air interface is considered, the Chinese marginal seas appear to be a source of atmospheric CO_2, with a net release of 6.01–9.33 Tg C yr~(-1), mainly from the inputs of rivers and adjacent oceans. The riverine dissolved inorganic carbon (DIC) input into the Bohai Sea and Yellow Sea, East China Sea, and South China Sea are 5.04, 14.60, and 40.14 Tg C yr~(-1),respectively. The DIC input from adjacent oceans is as high as 144.81 Tg C yr~(-1), significantly exceeding the carbon released from the seas to the atmosphere. In terms of output, the depositional fluxes of organic carbon in the Bohai Sea, Yellow Sea, East China Sea, and South China Sea are 2.00, 3.60, 7.40, and 5.92 Tg C yr~(-1), respectively. The fluxes of organic carbon from the East China Sea and South China Sea to the adjacent oceans are 15.25–36.70 and 43.93 Tg C yr~(-1), respectively. The annual carbon storage of mangroves, wetlands, and seagrass in Chinese coastal waters is 0.36–1.75 Tg C yr~(-1), with a dissolved organic carbon(DOC) output from seagrass beds of up to 0.59 Tg C yr~(-1). Removable organic carbon flux by Chinese macroalgae mariculture account for 0.68 Tg C yr~(-1) and the associated POC depositional and DOC releasing fluxes are 0.14 and 0.82 Tg C yr~(-1), respectively. Thus, in total, the annual output of organic carbon, which is mainly DOC, in the China Seas is 81.72–104.56 Tg C yr~(-1). The DOC efflux from the East China Sea to the adjacent oceans is 15.00–35.00 Tg C yr~(-1). The DOC efflux from the South China Sea is 31.39 Tg C yr~(-1). Although the marginal China Seas seem to be a source of atmospheric CO_2 based on the CO_2 flux at the sea-air interface, the combined effects of the riverine input in the area, oceanic input, depositional export,and microbial carbon pump(DOC conversion and output) indicate that the China Seas represent an important carbon storage area.     

基于城市绿色生产性面积的生态补偿机制研究（英文）

我国城市扩张、粮食保障和能源转型形势严峻,如何挖掘城市建成环境的绿色生产潜力、探索一条通过粮食生产和太阳能利用节约土地空间并缓解生态压力的新途径？本文不同于以往生态补偿研究大多以重点生态功能区为对象或以财税补偿机制为手段,而是创新性地建立了一种城市空间内部的生态补偿机制。本文提出城市“绿色生产性面积”作为一种从城市生态学角度来衡量城市生态承载力提升潜力的方法,它基于将城市绿色资源收入换算成相同条件下它们所能节约的生态足迹面积。首先,通过类型学方法建立绿色生产补偿策略;其次,进行城市建成环境的全要素空间清查及其绿色生产潜力分析;最后,建立不同绿色生产的生态节地效益统一核算标准,并转换为绿色生产性土地面积指标。以天津市南开区学府街道为例,通过可利用的屋顶及闲置用地进行绿色生产,补充了该区12%的建筑所占用的自然土地所能提供的生态承载力。     

传统村落理水生态智慧数字化解析——以江西流坑村为例（英文）

在传统村落长期除水害、兴水利的营建与发展过程中,通过适应天然水体和利用地域水系形成了一整套成熟的策略,有着朴素的理水生态智慧。本研究从村落水系格局梳理、空间特征计算、水环境量化三个方面,对江西流坑村的理水策略和效果做出定性和定量的分析,探索村落理水研究的技术方法和潜力。研究结果表明,流坑村具有源头引水—中程排水—末端调蓄的层次清晰的水系格局：通过三维点云计算可知,其选址精确利用了微地形,采用多水源理水策略,形成了一个有机的水系格局,为村落各类需求提供了充足水源;采用双水源理水策略;村中塘湖可容纳83.0%的雨水,且植被面积约占村落总面积的34.7%,具有较高的地表渗透率,中程排水效果甚佳;通过水环境质量检测可知,其塘湖水体环境质量良好,末端调蓄功能较强。该研究旨在填补以往对传统村落理水非量化研究的空缺,挖掘传统村落隐没的信息和价值,加深人们理解传统村落水利统筹、布局和营建的生态智慧,实现传统村落水利文化遗产保护与现代利用的双赢,为我国村镇聚落发展建设过程中妥善处理雨洪问题、实现水资源可持续、保护生态环境提供有益启示和借鉴。     

三峡库区消落区表层沉积物磷吸附特征

以三峡库区消落区表层沉积物为研究对象,通过对干湿交替沉积物中磷的赋存形式、吸附等温曲线的分析,揭示了干湿交替过程中沉积物磷的分布规律、吸附特征以及磷的源汇变化。结果表明:上覆水总磷变化呈现11月总磷<5月总磷<8月总磷。消落区覆水到出露沉积物最大磷吸附量、土壤最大缓冲能力在增加,磷零吸持平衡浓度、易解吸磷在降低,表明沉积物在夏季出露落干的过程中,固磷能力增强,释磷能力减弱;消落区土壤首次覆水过程中土壤磷呈现出由源到汇的转变。成库初期,覆水时沉积物主要表现为磷的积累,次年水库开闸放水排沙时,消落区表层富磷沉积物被冲刷排出。     

琼东北八所组ESR年龄及其构造意义

八所组是琼东北晚第四纪一个重要地层单位,同时也是河流Ⅱ级阶地（T2）的主要沉积地层,其形成年代对该区域晚第四纪以来的古环境演化及地壳运动的研究有着重要意义。为了限定其形成时代,文章采取ESR的方法,对广泛分布于琼东北珠溪河及古三江河一带的八所组地层进行了系统的测年。结果表明:该套地层形成于晚更新世中晚期（64.36 ka~18.40 ka BP）;沉积时代对应末次冰期MIS4~MIS2阶段;河流的下切与T2阶地的形成,一定程度上反映了该时期琼东北海平面的频繁波动及地壳的间歇性抬升;此外,分布于现代海岸风沙强烈作用地带的老红砂与八所组属同期异相的风成堆积,应与八所组地层加以区分。      

Experiments of DSAEF_LTP Model with Two Improved Parameters for Accumulated Precipitation of Landfalling Tropical Cyclones over Southeast China

The Dynamical-Statistical-Analog Ensemble Forecast model for landfalling tropical cyclones (TCs) precipitation (DSAEF_LTP) utilises an operational numerical weather prediction (NWP) model for the forecast track, while the precipitation forecast is obtained by finding analog cyclones, and making a precipitation forecast from an ensemble of the analogs. This study addresses TCs that occurred from 2004 to 2019 in Southeast China with 47 TCs as training samples and 18 TCs for independent forecast experiments. Experiments use four model versions. The control experiment DSAEF_LTP_1 includes three factors including TC track, landfall season, and TC intensity to determine analogs. Versions DSAEF_LTP_2, DSAEF_LTP_3, and DSAEF_LTP_4 respectively integrate improved similarity region, improved ensemble method, and improvements in both parameters. Results show that the DSAEF_LTP model with new values of similarity region and ensemble method (DSAEF_LTP_4) performs best in the simulation experiment, while the DSAEF_LTP model with new values only of ensemble method (DSAEF_LTP_3) performs best in the forecast experiment. The reason for the difference between simulation (training sample) and forecast (independent sample) may be that the proportion of TC with typical tracks (southeast to northwest movement or landfall over Southeast China) has changed significantly between samples. Forecast performance is compared with that of three global dynamical models (ECMWF, GRAPES, and GFS) and a regional dynamical model (SMS-WARMS). The DSAEF_LTP model performs better than the dynamical models and tends to produce more false alarms in accumulated forecast precipitation above 250 mm and 100 mm. Compared with TCs without heavy precipitation or typical tracks, TCs with these characteristics are better forecasted by the DSAEF_LTP model.     

Assessment of surface air warming in northeast China, with emphasis on the impacts of urbanization

Based on homogenized land surface air temperature (SAT) data (derived from China Homogenized Historical Temperature (CHHT) 1.0), the warming trends over Northeast China are detected in this paper, and the impacts of urban heat islands (UHIs) evaluated. Results show that this region is undergoing rapid warming: the trends of annual mean minimum temperature (MMIT), mean temperature (MT), and mean maximum temperature (MMAT) are 0.40 C decade^?1, 0.32 C decade^?1, and 0.23 C decade^?1, respectively. Regional average temperature series built with these networks including and excluding “typical urban stations” are compared for the periods of 1954–2005. Although impacts of UHIs on the absolute annual and seasonal temperature are identified, UHI contributions to the long-term trends are less than 10% of the regional total warming during the period. The large warming trend during the period is due to a regime shift in around 1988, which accounted for about 51% of the regional warming.