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1.
图们江是我国重要的国际性河流之一,受中国、朝鲜、俄罗斯三国政策、经济、文化等因素影响,三国的湿地景观截然不同。本文以我国国产高分辨率卫星GF-1和GF-2影像为数据源,通过对图们江口湿地的实地踏勘,建立了图们江口湿地遥感分类体系,包括湖泊、河流、沼泽、滩涂、坑塘、水田和水库共7类。采用目视解译方法,提取了图们江口湿地信息,对图们江口湿地现状和中、朝、俄湿地差异进行了分析。利用Fragstats景观分析软件,选取了斑块数(NP)、最大斑块指数(LPI)、斑块平均面积(MPS)、加权平均形状指数(SHAPE)、加权平均分形维数(FRAC)、香农多样性指数(SHDI)和香农均匀性指数(SHEI)等几个景观格局指数分析了图们江口湿地景观格局特征。结果表明:(1)研究区湿地总面积为39 503.38 hm2,以沼泽和湖泊为主,呈现近日本海聚集分布格局。(2)俄罗斯湿地面积占各国研究区湿地总面积比例最大,朝鲜次之,中国最小;朝鲜湿地开发程度最高,湿地破坏较严重。(3)朝鲜湿地破碎程度在三国中最重,中国次之;朝鲜因水田开发较严重,景观规则度最高;中国湿地多样性较其他两国丰富。  相似文献   

2.
本文所论及的滨海湿地指的是广义沿海滩涂湿地,不仅指全部潮间带,还包括潮上带和潮下带可供开发利用的部分,其作为新生的土地资源(有一定范围、面积),主要发育于潮滩—平原海岸与河流的三角洲地区.  相似文献   

3.
Using a combined dataset including 3D seismic volumes, 2D profiles and 127 industrial wells, this study systematically investigated sequence stratigraphy and depositional architecture of the Pearl River Delta system (PRDS) during the Middle Miocene. In total, six stratigraphic sequences (SQ1 to SQ6) were recognized for the Hanjiang Formation, each of which could be further subdivided into a transgressive systems tract (TST) and a regressive systems tract (RST) according to a T-R sequence stratigraphic model. Seismic geomorphologic approaches were then conducted to interpret and map the key depositional elements, including fluvial channel systems, river mouth bars, longshore bars, shelf sand ridges and shelf sand sheets. After a detailed construction of the paleogeography for each of the twelves systems tracts, it was found that the types, geometries and depositional regimes of PRDS significantly altered at ca. 13.8 Ma. Before ca. 13.8 Ma, the PRDS were dominated by well-developed fluvial systems and an overall lobate shape, indicating a fluvial-dominated process. However, after 13.8 Ma, the whole PRDS began to form enormous shoreline-parallel depositional elements such as longshore bars, shelf sand ridges and shelf sand sheets, indicating dominant shore-parallel regimes. Besides, the whole deltaic system displayed obvious southwest deflection in map view after 13.8 Ma.Detailed analysis showed that this sudden change in the evolution of the PRDS could be ascribed to an interactive response to several factors. At ca. 13.8 Ma, the sea level began to rapidly rise and caused the fluvial energy to decrease, which was likely to lead to the diversion of the fluvial systems. Besides, the gradual uplift of the Dongsha Rise resulted in the raised shelf topography in the east region, thus confining the fluvial channels to flow southwestward. What's more, a few key paleoceanographic events, including the reglaciation of the Antarctic ice-sheet and the shoaling of the Pacific-Indian Ocean Seaway, might have contributed to the intensification of the southwesterly flowing paleocurrent along the northern South China Sea, thus triggering the delta asymmetry and deflecton of the PRDS after 13.8 Ma.  相似文献   

4.
泥螺(Bullacta exarata)作为黄河三角洲区域成功引入的滩涂养殖种类, 为当地获得了巨大的经济效益, 但对其生态影响还了解不多。为了解该区域泥螺体内重金属含量并评价其生物质量, 于2012年8月对该区域进行泥螺和沉积物样品采集调查和分析。采用富集系数K、残留量指数I以及金属污染指数IMP进行分析。结果表明, 黄河三角洲沉积物及泥螺体内6种重金属含量均相对较低, 多数符合国家海洋沉积物质量标准第一类。泥螺对不同重金属的富集系数K有明显差别, 其中对Cu 和Cd 的富集能力最强。残留量指数I富集系数K及金属污染指数IMP均表明, 黄河三角洲潮间带泥螺对重金属的富集程度均较低, 说明该海域泥螺未受到重金属离子的污染。根据国家生物质量标准分析, 黄河三角洲潮间带泥螺的生物质量总体较好, 生物体内重金属含量总体上与海水中重金属含量无显著的相关性。  相似文献   

5.
Marginal seas play important roles in regulating the global carbon budget, but there are great uncertainties in estimating carbon sources and sinks in the continental margins. A Pacific basin-wide physical-biogeochemical model is used to estimate primary productivity and air-sea CO_2 flux in the South China Sea(SCS), the East China Sea(ECS), and the Yellow Sea(YS). The model is forced with daily air-sea fluxes which are derived from the NCEP2 reanalysis from 1982 to 2005. During the period of time, the modeled monthly-mean air-sea CO_2 fluxes in these three marginal seas altered from an atmospheric carbon sink in winter to a source in summer. On annualmean basis, the SCS acts as a source of carbon to the atmosphere(16 Tg/a, calculated by carbon, released to the atmosphere), and the ECS and the YS are sinks for atmospheric carbon(–6.73 Tg/a and –5.23 Tg/a, respectively,absorbed by the ocean). The model results suggest that the sea surface temperature(SST) controls the spatial and temporal variations of the oceanic pCO_2 in the SCS and ECS, and biological removal of carbon plays a compensating role in modulating the variability of the oceanic pCO_2 and determining its strength in each sea,especially in the ECS and the SCS. However, the biological activity is the dominating factor for controlling the oceanic pCO_2 in the YS. The modeled depth-integrated primary production(IPP) over the euphotic zone shows seasonal variation features with annual-mean values of 293, 297, and 315 mg/(m~2·d) in the SCS, the ECS, and the YS, respectively. The model-integrated annual-mean new production(uptake of nitrate) values, as in carbon units, are 103, 109, and 139 mg/(m~2·d), which yield the f-ratios of 0.35, 0.37, and 0.45 for the SCS, the ECS, and the YS, respectively. Compared to the productivity in the ECS and the YS, the seasonal variation of biological productivity in the SCS is rather weak. The atmospheric pCO_2 increases from 1982 to 2005, which is consistent with the anthropogenic CO_2 input to the atmosphere. The oceanic pCO_2 increases in responses to the atmospheric pCO_2 that drives air-sea CO_2 flux in the model. The modeled increase rate of oceanic pCO_2 is0.91 μatm/a in the YS, 1.04 μatm/a in the ECS, and 1.66 μatm/a in the SCS, respectively.  相似文献   

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