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.     

水产饲料添加剂--多糖肽对珍珠贝生长的影响

利用光度法测定法分别测定了水产饲料添加剂多糖肽(简称多糖肽)的氨基酸、多糖和维生素的含量;利用平行对照试验法,观察了多糖肽对珍珠贝生长发育的影响。实验结果表明,多糖肽的氨基酸、多糖和维生素含量分别为40％～48％,12％～19％和9％～10％;多糖肤具有显著促进合浦珠母贝(Pinctada functa Gould)后期幼虫、幼龄贝和大珠母贝(Pinctada maxima Jameson )幼龄贝生长发育的作用、同时能够提高大珠母贝幼龄贝的存活率。     

云贵川地区ZTD垂直剖面格网模型

利用ERA5大气再分析资料研究ZTD高程尺度因子的精细时间变化特征,构建顾及高程尺度因子精细时间变化的云贵川地区ZTD垂直剖面格网模型(YZTD-H模型)。以云贵川地区探空站分层ZTD数据作为参考值,检验YZTD-H模型的精度,并将其与GPT2w模型和GPT3模型进行比较。结果表明,顾及精细时间变化和垂直剖面变化的YZTD-H模型在时间维度和垂直剖面维度上均表现出较好的稳定性。     

2018年9月8日云南墨江5.9级地震预测回顾与资料论证

通过分析墨江5.9级地震前预测意见和预测资料,认为云南地区M≥5.5地震平静异常突出,M≥5.0地震连续间隔时间达200天以上,通海2次5.0级地震震级偏小是震前地震活动异常的显著特征;通海地震的指示意义、前兆异常M≥5.7地震中期和M≥5.0地震短临综合预测指标是判断地震短期可能性的主要依据;1900年以来,通海50km范围内M≥5.0地震后云南地区发生M≥5.0地震优势对应关系和GNSS表征的区域面应变变化特征为地点判定提供了线索。墨江5.9级地震的预测经验及资料的论证丰富了对地震孕育复杂性的认识,为震例积累了新的资料。     

我国城市湖泊空间分布格局特征分析及影响因素探讨

城市湖泊作为城市与自然之间进行水气交换的蓝色空间,具有供水、防洪、休闲、气候调节以及改善城市生态环境等诸多生态服务功能。中国地域辽阔、城市众多,不同区域的城市湖泊受自然地理环境和社会经济发展等因素的影响而具有显著的空间差异特征。目前已有研究对我国省会城市和个别大型城市的湖泊空间分布及变化特征等开展研究,但全国范围内各行政等级单元内城市湖泊分布的空间格局及其影响因素仍缺乏综合分析。本研究基于中国城市湖泊数据集,从城市分布的地域单元、行政等级、城市规模3个方面对城市湖泊分布特征进行统计分析和比较,并结合自然和人类活动要素,初步探讨影响城市湖泊分布规模和丰度的主控因子。结果表明,2020年全国共有约11万个面积大于0.001km²城市湖泊(不包括太湖、滇池等大型湖泊),总面积约2112 km²,约占全国城市(遥感城市不透水层区域)面积的1.1%。城市湖泊的分布具有显著的集聚和分异特征,数量超过70%的城市湖泊分布在约20%的县(区)级行政单元,约21%的县(区)级行政单元基本没有(<10 m遥感影像分辨率下10个像元)城市湖泊分布。城市湖泊数...     

Seasonal dynamics influencing coastal primary production and phytoplankton communities along the southern Myanmar coast

Myanmar is tenth among the world’s fish-producing countries and third in ASEAN (Association of Southeast Asian Nations). To understand the mechanisms underlying the high production, oceanographic and phytoplankton surveys, including primary productivity measurements based on pulse amplitude modulation fluorometry, were conducted near an active fishing ground near Myeik City. Three surveys, one in each of the representative seasons and covering the characteristic coastal environments, showed well-defined seasonality in primary production and phytoplankton occurrence. End of the dry season was the most productive, with productivity of 2.59 ± 1.56 g C m^?2 day^?1 and high concentration of chlorophyll a (3.14 ± 2.64 µg L^?1). In this season, the phytoplankton population was dominated by high densities of the diatoms Bellerochea horologicalis and Chaetoceros curvisetus, whereas primary productivity was low at the onset of the dry season, 1.36 ± 0.77 g C m^?2 day^?1. However, this low primary production might be compensated by activation of microbial food chains originating from high dissolved organic carbon. The rainy season exhibited the lowest production, 6.6% of the end of the dry season, due to the extensive discharge of turbid water from the rivers which lowered euphotic layer depth and resulted in an unusually high diffuse attenuation coefficient of 2.30 ± 1.03 m^?1. This incident of turbid water may be related to soil erosion from deforestation and mangrove deterioration. This research reveals the seasonal trend in Myanmar’s coastal productivity and its relationship to the tropical monsoon climate as well as emphasizing the importance of tropical coastal environments to the sustainability of the fisheries.     

Estimation of spawning area of <Emphasis Type="Italic">Pisodonophis sangjuensis</Emphasis> Ji and Kim, 2011 (Pisces: Ophichthidae) based on leptocephali size and distribution

Pre-metamorphic leptocephali of Pisodonophis sangjuensis (n = 91, 10.4?90.2 mm in total length, TL) were collected in the East China Sea for the first time. Pre-metamorphic leptocephali of P. sangjuensis, which were identified using mitochondrial DNA cytochrome c oxidase subunit I gene (mtDNA COI), are characterized by various combinations of morphological characters: 8 moderate to pronounced gut loops with the kidney terminating on the 6-7th loops; and 8 subcutaneous pigment patches on the tail just ventral to the notochord. Pisodonophis sangjuensis leptocephali were more numerously collected offshore than inshore around Jeju Island. The smallest leptocephali (< 15.0 mm TL) were collected from the south far from Jeju Island, and the largest leptocephali (> 100.0 mm TL) were collected from around Jeju Island and the southern coast of Korea. Our findings indicate that P. sangjuensis spawns offshore south of Jeju Island that is an area associated with high water temperature, and then the hatched leptocephali are transported to Jeju Island or the southern coast of Korea by the Tsushima Warm Current.     

A modified normalized model for predicting effective soil thermal conductivity

Effective soil thermal conductivity (λ _eff) describes the ability of a multiphase soil to transmit heat by conduction under unit temperature gradient. It is a critical parameter for environmental science, earth and planetary science, and engineering applications. Numerous models are available in the literature, but their applicability is generally restricted to certain soil types or water contents (θ). The objective of this study was to develop a new model in the similar form of the Johansen 1975 model to simulate the λ _eff(θ) relationship of soils of various soil textures and water contents. An exponential type model with two parameters is developed and a new function for calculating dry soil thermal conductivity is presented. Performance of the new model and six other normalized models were evaluated with published datasets. The results show that the new model is able to well mimic λ _eff(θ) relationship of soils from sand to silt loam and from oven dry to full saturation. In addition, it has the best performance among the seven models under test (with root-mean-square error of 0.059 W m^?1 °C^?1, average deviations of 0.0009 W m^?1 °C^?1, and Nash–Sutcliffe efficiency of 0.994). The new model has potential to improve the reliability of soil thermal conductivity estimation and be incorporated into numerical modeling for environmental, earth and engineering studies.     

图像ROI选择及其应用研究

在辐射成像应用中,DR及CT检测会产生大量的图像数据,对这些图像数据的处理涉及图像处理技术的方方面面。这些处理技术包括重建、可视化、图像增强、图像压缩和图像缺陷分析等。通常人们需要对图像中的特定区域（ROI）进行处理,并对图像上的ROI进行选择。ROI的确定,编辑是辐射成像图像处理的常用功能。本文介绍常用各种ROI,实现了这些ROI的勾画、编辑、选择等功能,并介绍了ROI与孔隙度计算及缺陷识别等应用的结合。     

Holocene slip rate and paleoearthquake records of the Salt Lake segment of the Northern Zhongtiaoshan Fault,Shanxi Province

The Northern Zhongtiaoshan Fault is a major deep fault at the southern margin of the Yuncheng Basin. There have been few studies on the fault, and the historical earthquakes are few and weak. However, the intensity of activity on the fault should never be underestimated. Through interpretations of aerial images, topography measurements and excavation of trenches, this paper studied the fault distribution, the surface deformation and the activity of the normal fault south of Salt Lake near the city of Yuncheng. By tracing faults in the three trenches, it was found that there had been at least three large paleoseismic events, at 1–3.5, 3.6–4.4 and 7.4–8.8 ka BP. Employing 14 C dating, we determined the same gravel layers in the uplifted side and downthrown side. Making differential Global Positioning System measurements of the vertical difference and topographic profile, we obtained the mean slip rate of the Northern Zhongtiaoshan Fault since 24.7 ka BP(0.75±0.05 mm/a). Using the results of relevant studies, we calculated the possible vertical fault displacement of one earthquake(2.35 m) and obtained the recurrence interval of characteristic earthquakes as 2940–3360 a after dividing the displacement by the mean slip rate.