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181.
Nianzhi Jiao Yantao Liang Yongyu Zhang Jihua Liu Yao Zhang Rui Zhang Meixun Zhao Minhan Dai Weidong Zhai Kunshan Gao Jinming Song Dongliang Yuan Chao Li Guanghui Lin Xiaoping Huang Hongqiang Yan Limin Hu Zenghu Zhang Long Wang Chunjie Cao Yawei Luo Tingwei Luo Nannan Wang Hongyue Dang Dongxiao Wang Si Zhang 《中国科学:地球科学(英文版)》2018,61(11):1535-1563
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. 相似文献
182.
Wenchuan Earthquake: Way of thinking is changed 总被引:9,自引:0,他引:9
Yong Chen Li Li Juan Li Gang Li 《《幕》》2008,31(4):374-377
On 12 May, 2008, at 14:28:04 local time, an Ms 8.0 earthquake struck the Wenchuan County, Sichuan Province, in southwest China (Figure 1). This quake left about 70,000 people dead, 18,000 missing and over 370,000 injured. In the 75 days after the main shock, 20,000 aftershocks were recorded, which included 241 with Ms≥4.0, 205 with 4.0≤M≤4.9, 30 with 5.0≤Ms≤5.9, and 6 with Ms≥6.0. The largest aftershock took place 13 days after the main shock, in Qingchuan County, 110 km northeast of the epicenter of the quake (Chen, 2008). The losses from the quaketriggered geological disasters accounted for over a third of the total quake losses, which is extremely rare in the history of earthquake disasters. Secondary disasters, such as landslides, rockslides, landfalls, debris flows, etc., were widely distributed. Large numbers of buildings collapsed, including ones with steel reinforcing in the area of the epicenter. Infrastructure was badly damaged. In many areas, communications, and power and water supplies were cut off. The earthquake left over 35 large quake-dammed lakes, which threatened further disasters in the catchment areas. 相似文献
183.
本文记述了采自山东淄博地区晚石炭世太原组双壳类化石15属28种,讨论了化石组合特征.在研究双壳类动物群的基础上,划分了3个动物群落,即:Acanthopecten群落、Palacolima群落和Aitartella群落,并对各群落的生态特征进行了系统研究. 相似文献
184.
探索贫困地区退耕农户的生计资本与生计策略关系,对实现精准扶贫、乡村振兴战略具有重要意义。基于甘肃会宁县退耕农户调查数据,构建了具有区域特色的生计资本指标体系,采用熵值法测算生计资本,运用Logistic回归模型探讨了退耕农户生计策略选择问题。结果表明:(1)研究区退耕农户拥有的生计资本中人力资本指数最低,且各生计资本值存在差异;(2)金融资本中的现金收入可以显著增加退耕农户选择非农型生计策略的概率,而自然资本中的平地面积、物质资本中的耐用消费品价值和金融资本中的资金获得渠道会显著降低退耕农户选择非农型生计策略的概率;(3)对于不同退耕程度的农户,现金收入依旧可以显著增加选择非农型生计策略的概率,而抑制两类农户选择非农型生计策略的生计资本指标则存在差异。基于此,提出改善退耕农户的金融资本的多项措施,进而提高农户的非农生计意愿,更好地解决贫困问题。 相似文献
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应急避难场所在城市应急管理体系中占有重要地位,对已建成的应急避难场所选址进行评价,可为应急避难场所个体改进、布局优化和新建选址提供依据。本文在文献研究与天津市城市特点分析的基础上,从有效性、安全性、可达性3个维度构建包含8个评价因子的应急避难场所选址适宜性评价指标体系,应用层次分析法(AHP)确定指标权重。应用GIS空间分析技术建立应急避难场所空间点位分析模型和覆盖范围模型,对天津市27个应急避难场所进行适宜性评价,并对中心城区14个应急避难场所进行满足性评价。结果表明,天津市应急避难场所具有良好的基础,但总体适宜性水平有待进一步提高,尤其是安全性亟需加强;天津市中心城区人口密集,但应急避难场所数量少,服务区域有限,存在较大范围的覆盖盲区,其中和平区人均有效避难面积仅0.2m2,远小于人体最低占用面积0.6m2,达不到人均有效避难要求。 相似文献
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