缢蛏(Sinonovacula constricta)规模增殖放流对三沙湾滩涂底质环境改良的效果     

江兴龙  林国清  廖碧钗  郑伟刚  黄健  邓来富  尼逸伦 《海洋与湖沼》2015,46(6):1524-1530

于2013-2014 年在三沙湾选择增殖放流区Ⅰ区和Ⅱ区, 开展了2 批次的缢蛏增殖放流, 计 放流缢蛏苗数量约3747 万粒。采用对缢蛏生长、生物量动态变化和滩涂底质主要因子跟踪监测的方 法, 开展对缢蛏增殖放流效果的评估。研究结果, 2 个增殖放流区的缢蛏密度和缢蛏生物量都比对照 区有极显著提高, 共收获65 吨缢蛏大规格苗, 增殖放流产出比为1: 8.0-9.0, 获得了一定的资源增 殖效果和经济效益。放流期间, 滩涂底泥中的氧化还原电位、硫化物和有机碳等浓度在增殖区Ⅰ区、 Ⅱ区和对照区之间都无显著差异(P>0.05), 但, 底泥中Ⅰ区、Ⅱ区的氧化还原电位平均值分别比对照 区提高了26%和18%, 硫化物浓度平均值分别比对照区降低了45%和34%, 有机碳浓度平均值分别 比对照区下降了5.8%和6.8%, 表明, 缢蛏增殖放流获得了一定的改良底质环境效果。  相似文献   

台湾海峡夏季与冬季的水体及热盐通量观测     

田川  王树新  徐霄阳 《海洋科学》2015,39(1):110-115

利用在台湾海峡附近的下放式声学多普勒流速剖面仪(Lowered Acoustic Doppler Current Profiler,LADCP)观测资料和温盐观测资料,通过对连续站的两个季节观测进行正压和斜压潮流分析从而去除潮流得到准定常流,并在此基础上计算了南海和东海之间通过台湾海峡输运的水体及热盐通量。结果表明:台湾海峡大部分海域是半日潮海区(正规半日潮及不正规半日潮海区),半日潮主要分量为太阴半日分潮M2;台湾海峡的水体输运及热盐通量呈现明显的季节变化:夏季台湾海峡内表现为一支东北流向的海流,即台湾海峡暖流,存在3.3 Sv(1Sv=106 m3/s)的东北向水体输运,冬季东北季风较强,西南方向的海流加强,混合层可达到底部,存在1.8 Sv的东北向水体输运。与此对应的热盐通量分别为:夏季热通量为0.34×1015 W,盐通量为118.6×109 g/s;冬季热通量为0.14×1015 W,盐通量为72.9×109 g/s。该结果对台湾海峡通量的研究给出了一个直接观测的准确值,并为相关的数值研究提供了参考。  相似文献   

成都市城市热岛效应分析     

曾胜兰 《成都信息工程学院学报》2015,30(1):96-101

城市热岛效应是城市气候最显著的特征之一。基于地理信息系统和不同时次的遥感影像,探讨成都市地表温度、热岛强度、热岛等级的分布特征及其演变。结果表明:成都市热岛效应明显且夜间夏强冬弱,地表温度呈条状分布;日间城市多数区域属于弱热岛以上等级,中心城区偏向强热岛和极强热岛,夜间强热岛面积扩张,冬季热岛等级增加明显;2002~2012年,城市热岛等级增加,强热岛面积扩张,但存在昼夜和季节性差异。  相似文献   

气候变暖对湖泊热力及溶解氧分层影响研究进展   总被引：4，自引：0，他引：4       下载免费PDF全文

张运林 《水科学进展》2015,26(1):130-139

气候变暖对湖泊物理、化学、生物和生态系统有着复杂而深刻的直接和间接影响,而具体影响随研究区域和水体表现不尽相同。气候变暖通过改变湖泊热力和溶解氧分层进而影响湖泊生物过程和生态系统结构与功能。从全球湖泊变暖趋势、长期缓慢气温上升、极端高温事件以及气候情景模拟等方面详细综述了气候变暖对湖泊热力及溶解氧分层影响的研究进展。研究表明,全球不同区域湖泊均存在不同程度的变暖趋势;长期缓慢气温上升和短期极端高温均会造成湖泊热力分层提前,分层结束推迟,分层时间延长,混合层和温跃层深度下降,以及热稳定性增加;相伴随的是溶解氧扩散深度和氧跃层深度明显下降,加剧了湖泊底部好氧和厌氧环境。除了这种直接影响外,气候变暖引起的流域降水、入湖物质的变化以及风速的变化也会对湖泊热力和溶解氧分层产生许多间接的影响,因此未来仍然需要更多的实验证据、经验和数值模型来验证和预测气候变暖对湖泊热力及溶解氧分层的影响。  相似文献   

Newly discovered hydrothermal fields along the ultraslow-spreading Southwest Indian Ridge around 63°E     

陈杰  陶春辉  梁锦  廖时理  董传万  李怀明  李伟  王媛  岳羲和  何拥华 《海洋学报(英文版)》2018,37(11):61-67

The ultraslow-spreading Southwest Indian Ridge(SWIR) to the east of the Melville fracture zone is characterized by very low melt supply and intensive tectonic activity. Due to its weak thermal budget and extremely slow spreading rate, the easternmost SWIR was considered to be devoid of hydrothermal activity until the discovery of the inactive Mt. Jourdanne hydrothermal field(27°51′S, 63°56′E) in 1998. During the COMRA DY115-20 cruise in2009, two additional hydrothermal fields(i.e., the Tiancheng(27°51′S, 63°55′E) and Tianzuo(27°57′S, 63°32′E)fields) were discovered. Further detailed investigations of these two hydrothermal sites were conducted by Chinese manned submersible Jiaolong in 2014–2015. The Tiancheng filed can be characterized as a lowtemperature(up to 13.2°C) diffuse flow hydrothermal field, and is hosted by fractured basalts with hydrothermal fauna widespread on the seafloor. The Tianzuo hydrothermal field is an inactive sulfide field, which is hosted by ultramafic rocks and controlled by detachment fault. The discovery of the three hydrothermal fields around Segment #11 which receives more melt than the regional average, provided evidence for local enhanced magmatism providing heat source to drive hydrothermal circulation. We further imply that hydrothermal activity and sulfide deposits may be rather promising along the easternmost SWIR.  相似文献   

Comprehensive study of the drying behavior of Boom clay: Experimental investigation and numerical modeling          下载免费PDF全文

Julien Hubert  Erwan Plougonven  Noémie Prime  Angélique Léonard  Frédéric Collin 《国际地质力学数值与分析法杂志》2018,42(2):211-230

This paper presents a thermo‐hydro‐mechanical framework to model the drying behavior of Boom clay. First, the experimental campaign conducted Noémie Prime is briefly presented because it is used to validate the model. The data acquisition and processing is emphasized because of the use of X‐ray microtomography to be able to more accurately compare experimental and numerical strain fields. The different submodels are introduced. Numerical simulations are performed to illustrate the capability of the proposed model to reproduce the observed behavior. Finally, a comprehensive sensitivity study on several key model parameters associated with the water retention curve, and the permeability of the medium, is performed to get a better understanding of the physics behind the coupled model.  相似文献   

Tropical Cyclone Genesis Potential Index for Bay of Bengal During Peak Post-Monsoon (October-November) Season Including Atmosphere-Ocean Parameters     

P. Suneeta 《Marine Geodesy》2018,41(1):86-97

Several studies on tropical cyclone genesis potential index (GPI) mainly using atmospheric parameters (relative/absolute vorticity, relative humidity, vertical wind shear, potential instability, vertical velocity etc.) have been reported earlier. Though the ocean plays a vital role in the genesis and intensification of cyclones, no ocean parameter has been included in most of the studies. In this study, we have made an attempt to develop a new GPI for Bay of Bengal during peak post-monsoon (October-November) season including upper ocean heat content (UOHC) using the data for the period 1995–2015. It is found that the new GPI is better correlated with the total number of depressions, cyclones and severe cyclones (TNDC) compared with the existing GPI which was developed for the north Indian Ocean and presently used by India Meteorological Department (IMD), New Delhi. The correlation has significantly enhanced (r=0.86:significant at >99% level) by using the first differences [year(0) –year(?1)] of the time series data. Since, the new GPI which considers atmosphere and ocean (UOHC) parameters, it appears to be more suitable for Bay of Bengal during the peak post-monsoon season.  相似文献   

Upper Ocean Four-Dimensional Variational Data Assimilation in the Arabian Sea and Bay of Bengal     

Suneet Dwivedi  Atul Srivastava  Alok Kumar Mishra 《Marine Geodesy》2018,41(3):230-257

A regional ocean circulation model with four-dimensional variational data assimilation scheme is configured to study the ocean state of the Indian Ocean region (65°E–95°E; 5°N–20°N) covering the Arabian Sea (AS) and Bay of Bengal (BoB). The state estimation setup uses 10 km horizontal resolution and 5 m vertical resolution in the upper ocean. The in-situ temperature and salinity, satellite-derived observations of sea surface height, and blended (in-situ and satellite-derived) observations of sea surface temperature alongwith their associated uncertainties are used for data assimilation with the regionally configured ocean model. The ocean state estimation is carried out for 61 days (1 June to 31 July 2013). The assimilated fields are closer to observations compared to other global state estimates. The mixed layer depth (MLD) of the region shows deepening during the period of assimilation with AS showing higher MLD compared to the BoB. An empirical forecast equation is derived for the prediction of MLD using the air–sea forcing variables as predictors. The surface and sub-surface (50 m) heat and salt budget tendencies of the region are also investigated. It is found that at the sub-surface, only the advection and diffusion temperature and salt tendencies are important.  相似文献   

Improved spatial delineation of streambed properties and water fluxes using distributed temperature sensing          下载免费PDF全文

Landon J. S. Halloran  Hamid Roshan  Gabriel C. Rau  Martin S. Andersen  R. Ian Acworth 《水文研究》2016,30(15):2686-2702

A new method was developed for analysing and delineating streambed water fluxes, flow conditions and hydraulic properties using coiled fibre‐optic distributed temperature sensing or closely spaced discrete temperature sensors. This method allows for a thorough treatment of the spatial information embedded in temperature data by creating a matrix visualization of all possible sensor pairs. Application of the method to a 5‐day field dataset reveals the complexity of shallow streambed thermal regimes. To understand how velocity estimates are affected by violations of assumptions of one‐dimensional, saturated, homogeneous flow and to aid in the interpretation of field observations, the method was also applied to temperature data generated by numerical models of common field conditions: horizontal layering, presence of lateral flow and variable streambed saturation. The results show that each condition creates a distinct signature visible in the triangular matrices. The matrices are used to perform a comparison of the behaviour of one‐dimensional analytical heat‐tracing models. The results show that the amplitude ratio‐based method of velocity calculation leads to the most reliable estimates. The minimum sensor spacing required to obtain reliable velocity estimates with discrete sensors is also investigated using field data. The developed method will aid future heat‐tracing studies by providing a technique for visualizing and comparing results from fibre‐optic distributed temperature sensing installations and testing the robustness of analytical heat‐tracing models. Copyright © 2016 John Wiley & Sons, Ltd.  相似文献   

Prediction of river water temperature: a comparison between a new family of hybrid models and statistical approaches          下载免费PDF全文

Sebastiano Piccolroaz  Elisa Calamita  Bruno Majone  Aurélien Gallice  Annunziato Siviglia  Marco Toffolon 《水文研究》2016,30(21):3901-3917

River water temperature is a key physical variable controlling several chemical, biological and ecological processes. Its reliable prediction is a main issue in many environmental applications, which however is hampered by data scarcity, when using data‐demanding deterministic models, and modelling limitations, when using simpler statistical models. In this work we test a suite of models belonging to air2stream family, which are characterized by a hybrid formulation that combines a physical derivation of the key equation with a stochastic calibration of parameters. The air2stream models rely solely on air temperature and streamflow, and are of similar complexity as standard statistical models. The performances of the different versions of air2stream in predicting river water temperature are compared with those of the most common statistical models typically used in the literature. To this aim, a dataset of 38 Swiss rivers is used, which includes rivers classified into four different categories according to their hydrological characteristics: low‐land natural rivers, lake outlets, snow‐fed rivers and regulated rivers. The results of the analysis provide practical indications regarding the type of model that is most suitable to simulate river water temperature across different time scales (from daily to seasonal) and for different hydrological regimes. A model intercomparison exercise suggests that the family of air2stream hybrid models generally outperforms statistical models, while cross‐validation conducted over a 30‐year period indicates that they can be suitably adopted for long‐term analyses. Copyright © 2016 John Wiley & Sons, Ltd.  相似文献