The information system of the French Peatland Observation Service: Service National d'Observation Tourbières – A valuable tool to assess the impact of global changes on the hydrology and biogeochemistry of temperate peatlands through long term monitoring

Mitigating and adapting to global changes requires a better understanding of the response of the Biosphere to these environmental variations. Human disturbances and their effects act in the long term (decades to centuries) and consequently, a similar time frame is needed to fully understand the hydrological and biogeochemical functioning of a natural system. To this end, the ‘Centre National de la Recherche Scientifique’ (CNRS) promotes and certifies long-term monitoring tools called national observation services or ‘Service National d'Observation’ (SNO) in a large range of hydrological and biogeochemical systems (e.g., cryosphere, catchments, aquifers). The SNO investigating peatlands, the SNO ‘Tourbières’, was certified in 2011 ( https://www.sno-tourbieres.cnrs.fr/ ). Peatlands are mostly found in the high latitudes of the northern hemisphere and French peatlands are located in the southern part of this area. Thus, they are located in environmental conditions that will occur in northern peatlands in coming decades or centuries and can be considered as sentinels. The SNO Tourbières is composed of four peatlands: La Guette (lowland central France), Landemarais (lowland oceanic western France), Frasne (upland continental eastern France) and Bernadouze (upland southern France). Thirty target variables are monitored to study the hydrological and biogeochemical functioning of the sites. They are grouped into four datasets: hydrology, fluvial export of organic matter, greenhouse gas fluxes and meteorology/soil physics. The data from all sites follow a common processing chain from the sensors to the public repository. The raw data are stored on an FTP server. After operator or automatic processing, data are stored in a database, from which a web application extracts the data to make them available ( https://data-snot.cnrs.fr/data-access/ ). Each year at least, an archive of each dataset is stored in Zenodo, with a digital object identifier (DOI) attribution ( https://zenodo.org/communities/sno_tourbieres_data/ ).     

中国3000年疫灾流行的时空特征及其影响因素

疫灾是人类灾害链网中的顶级灾害。利用历史疫灾史料,建立疫灾时间序列,使用历史断面分析、因子相关分析、时间序列分析等方法,对中国过去2720年疫灾流行的时空特征及其影响因素进行研究。结果表明：① 中国疫灾流行的频度和强度有长期上升趋势,温暖期形成疫灾低谷,寒冷期形成疫灾高峰。② 中国疫灾流行总体以夏、秋季为主,但有阶段性差异,15世纪50年代以后,由于疫病种类增多,疫灾频度提高,疫灾的季节性差异逐渐不显著。③ 中国疫灾波动周期主要有620~610 a、320~310 a、230~220 a、170 a、90 a等,它们大都是12 a或11.2 a的倍数,反映了“十二地支”周期的存在和太阳黑子活动对疫灾周期的重大影响。④ 过去近3000年里,中国累积的疫灾广泛度为93.51%,疫灾厚度达16.86层,东南半壁的疫灾比西北半壁的频繁得多、严重得多。⑤ 中国疫灾区域拓展与土地开发同步,疫灾重心变迁受经济重心的牵引,南宋以前由北向南迁移,南宋以后由东向西迁移;外来疫病输入对疫灾分布格局产生重大影响。⑥ 疫灾流行既是自然生态现象,也是社会文化现象,疫灾时空分布变迁反映人地关系变迁,人口稠密区、交通沿线区、都城周边区、自然疫源区、灾害频发区都是疫灾多发区。⑦ 地理环境分异奠定疫灾空间分异,高温、高湿、低海拔地区疫灾易于流行;自然灾害对疫灾具有诱发作用,灾害频繁区也是疫灾频发区,灾害频繁期也是疫灾频繁期;气候变迁影响疫灾波动,寒冷期疫灾多发,温暖期疫灾少发;人口增加带来的土地开发和人地关系紧张,加剧疫灾的流行;疫灾与战争如影随形,战乱频繁期也是疫灾频繁期。     

Large‐scale connectivity of fluvio‐deltaic stratigraphy: Inferences from simulated accommodation‐to‐supply cycles and automated extraction of chronosomes

Multiscale simulation of fluvio‐deltaic stratigraphy was used to quantify the elements of the geometry and architectural arrangement of sub‐seismic‐scale fluvial‐to‐shelf sedimentary segments. We conducted numerical experiments of fluvio‐deltaic system evolution by simulating the accommodation‐to‐sediment‐supply (A/S) cycles of varying wavelength and amplitude with the objective to produce synthetic 3‐D stratigraphic records. Post‐processing routines were developed in order to investigate delta lobe architecture in relation to channel‐network evolution throughout A/S cycles, estimate net sediment accumulation rates in 3‐D space, and extract chronostratigraphically constrained lithosomes (or chronosomes) to quantify large‐scale connectivity, that is, the spatial distribution of high net‐to‐gross lithologies. Chronosomes formed under the conditions of channel‐belt aggradation are separated by laterally continuous abandonment surfaces associated with major avulsions and delta‐lobe switches. Chronosomes corresponding to periods in which sea level drops below the inherited shelf break, that is, the youngest portions of the late falling stage systems tract (FSST), form in the virtual absence of major avulsions, owing to the incision in their upstream parts, and thus display purely degradational architecture. Detailed investigation of chronosomes within the late FSST showed that their spatial continuity may be disrupted by higher‐frequency A/S cycles to produce “stranded” sand‐rich bodies encased in shales. Chronosomes formed during early and late falling stage (FSST) demonstrate the highest large‐scale connectivity in their proximal and distal areas, respectively. Lower‐amplitude base level changes, representative of greenhouse periods during which the shelf break is not exposed, increase the magnitude of delta‐lobe switching and favour the development of system‐wide abandonment surfaces, whose expression in real‐world stratigraphy is likely to reflect the intertwined effects of high‐frequency allogenic forcing and differential subsidence.     

关于地球圈层差异旋转理论研究的综述

地球内部各圈层差异旋转的各种假说中,“内快外慢”说已形成较完整的理论,并被科学测试所验证。在这一理论形成过程中,数学工作者也做出一有益的贡献。研究表明,“内快外慢”差异旋转是地球内部各种运动的源动力。     

地球轨道旋回沉积节律研究进展——兼论轨道旋回的沉积学特征、年代学意义和研究方法

地球轨道旋回是古代沉积记录中常见的由地球轨道参数变动控制的沉积节律,它不仅自身表现显著的节律性,而且通过反馈体系强烈影响着沉积作用。同时,轨道旋回节律在不同的沉积背景下以不同的沉积特征显现和规则性叠加。地球轨道旋回赋有的规则频率变化特征又使其具有年代学意义和应用价值,它是天文地质学、地层学及沉积学研究的重点内容。根据国内外资料综述了这些方面的研究进展,并探讨了地球轨道旋回的研究方法。     

三肇凹陷葡萄花油层高分辨率层序地层划分及沉积特征研究

应用高分辨率层序地层学理论,通过对各级基准面旋回的沉积动力学分析,依据１０口井岩心和１２５６口井测井资料,把松辽盆地三肇凹陷葡萄花油层划分为１个长期基准面旋回、２个中期基准面旋回、１２个短期基准面旋回,提出了葡萄花油层南部为同沉积构造抬升控制的中部缺失而非底部缺失的层序地层新格架。通过对短期基准面旋回内储层沉积特征、单砂体展布规律的研究,认为葡萄花油层主要储层水下河道砂体比原认识更连续,且延伸较远, 分流平原、内前缘相带南移达３６ｋｍ,这对深入认识该区油藏类型、聚油规律、特别是高含水期剩余油挖潜具有重要意义,对指导整个松辽盆地北部岩性油气藏勘探与开发具有重大影响。     

一次局地大暴雨的地面观测资料同化预报试验研究

基于WRF（Weather Research and Forecasting）模式及其3DVAR（3-Dimentional Variational）资料同化系统,采用36 km、12 km 、4 km三层嵌套网格进行逐3 h资料同化和快速更新循环预报,对2011年5月8日鲁中一次局地大暴雨过程进行了资料同化敏感性试验。试验结果表明,地面观测资料同化和快速更新循环对本次降水的预报起到了关键性作用。在快速更新循环预报时不同化地面观测资料,或同化全部观测资料进行冷启动预报,模式均不能预报出山东的降水。同化地面观测资料后,显著改进了模式降水落区预报。地面观测资料同化可以影响到700 hPa高度以上温压湿风要素的变化,从而改变了大气初始场的温湿结构,导致模式预报的700 hPa附近高空大气湿度和热力不稳定增强,700 hPa以下低层风场更强,850 hPa鲁中以南风速较无观测资料同化的偏强2～4 m·s-1,低层风场的动力作用触发高空的不稳定大气,降水出现在山东。     

Experimental investigation on static and dynamic resilient moduli of compacted fine soil

To investigate the static and dynamic resilient modulus of fine soil, and adapting to the new design code and maintenance system of highway subgrade in China, a series of static and dynamic tests were carried out according to the standard laboratory test methods (JTG E40-2007 and JTG D30-2015, respectively). The effects of initial water content, compactness and freeze-thaw cycles on the static and dynamic resilient moduli of fine soil were investigated and analyzed. Experimental test results show that with increasing water content, dry density and freeze-thaw cycles, the static moduli reduces about 10.2%~40.0%, 14.4%~45.5%, and 24.0%~50.3%, and dynamic moduli reduces about 10.9%~90.8%, 2.5%~38.4%, and 0.0%~46.0%, respectively. Then, the empirical mathematical relationship between static and dynamic resilient moduli was established under different water content, dry density and freeze-thaw cycles. The investigation results can be used to determine the dynamic modulus of fine soil by widely used static modulus, which could meet the requirement of adopting dynamic modulus index in new specification.     

土地规划的自然过程基础与大数据时代的方法探索

随着城市化与工业化程度不断加深,产业空间结构不断重组,导致土地供需矛盾日益突出,国土资源无序开发日益严重,因而优化国土资源空间格局,成为生态文明建设的首要任务。同时,科学合理配置土地资源对土地规划提出了更高要求,传统土地规划方法有待改革。在基于尊重自然、顺应自然的开发理念下,总结土地自然过程基础对土地规划的影响,实现“山水路林田生命共同体”的协调规划发展。其次,“大数据”时代的来临,云计算、空间数据整合、云分析等技术对土地规划方法提供新的技术支撑;最后,针对土地规划数据特殊性、移动用户终端的广泛性,提出应创建土地规划云服务平台,使土地规划实现数据集成管理和更新,从而提高土地规划质量。     

面向土地全生命周期的地籍时空管理系统设计与探讨

从地籍动态管理的角度,提出了土地与宗地全生命周期的概念。基于此,设计了地籍时空数据结构,探讨了面向全生命周期的地籍时空管理系统的结构和功能,并将研发的系统运用在实际业务中,以贯穿于其全生命周期管理。