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41.
Coastal wetlands represent an ecotone between ocean and terrestrial ecosystems, providing important services, including flood mitigation, fresh water supply, erosion control, carbon sequestration, and wildlife habitat. The environmental setting of a wetland and the hydrological connectivity between a wetland and adjacent terrestrial and aquatic systems together determine wetland hydrology. Yet little is known about regional‐scale hydrological interactions among uplands, coastal wetlands, and coastal processes, such as tides, sea level rise, and saltwater intrusion, which together control the dynamics of wetland hydrology. This study presents a new regional‐scale, physically based, distributed wetland hydrological model, PIHM‐Wetland, which integrates the surface and subsurface hydrology with coastal processes and accounts for the influence of wetland inundation on energy budgets and evapotranspiration (ET). The model was validated using in situ hydro‐meteorological measurements and Moderate Resolution Imaging Spectroradiometer (MODIS) ET data for a forested and herbaceous wetland in North Carolina, USA, which confirmed that the model accurately represents the major wetland hydrological behaviours. Modelling results indicate that topographic gradient is a primary control of groundwater flow direction in adjacent uplands. However, seasonal climate patterns become the dominant control of groundwater flow at lower coastal plain and land–ocean interface. We found that coastal processes largely influence groundwater table (GWT) dynamics in the coastal zone, 300 to 800 m from the coastline in our study area. Among all the coastal processes, tides are the dominant control on GWT variation. Because of inundation, forested and herbaceous wetlands absorb an additional 6% and 10%, respectively, of shortwave radiation annually, resulting in a significant increase in ET. Inundation alters ET partitioning through canopy evaporation, transpiration, and soil evaporation, the effect of which is stronger in cool seasons than in warm seasons. The PIHM‐Wetland model provides a new tool that improves the understanding of wetland hydrological processes on a regional scale. Insights from this modelling study provide benchmarks for future research on the effects of sea level rise and climate change on coastal wetland functions and services.  相似文献   
42.
桑沟湾沉积碳库年汇入速率的长期变化及其区域性差异   总被引:1,自引:1,他引:0  
刘赛  杨庶  杨茜  孙耀 《海洋学报》2018,40(1):47-56
对取自桑沟湾北西南三根柱样近200 a碳来源及埋藏通量的解析,分析了湾内不同站位各形态碳的差异性,进而对全湾碳埋藏进行了估算。湾内环流、贝藻养殖等造成湾内不同区域碳埋藏的差异;桑沟湾总碳(TC)平均量1.79%,有机碳(TOC)平均量0.54%,无机碳(TIC)平均量1.25%,TOC含量相对较小,为海陆混合来源,以陆源有机碳(Ct)为主,大规模人工养殖后,海源有机碳(Ca)有明显增加的趋势。桑沟湾碳埋藏通量平均为228.9 g/(m2·a),以无机碳为主要埋藏形式(约占70%),高的沉积速率及生物残骸沉降使桑沟湾养殖区碳的来源及埋藏区别于其他陆架海域。  相似文献   
43.
Sun  Hushan  Wang  Yiyan  Liu  Xiaoli  Liu  Dongwu 《中国海洋湖沼学报》2018,36(6):2288-2296
Journal of Oceanology and Limnology - Little is known about the roles of dynorphin and Kappa opioid receptor (KOR) in mollusks. In this study, we aim to determine the distribution of dynorphin A...  相似文献   
44.
Understanding streamflow changes in terms of trends and periodicities and relevant causes is the first step into scientific management of water resources in a changing environment. In this study, monthly streamflow variations were analyzed using Modified Mann-Kendall(MM-K) trend test and Continuous Wavelet Transform(CWT) methods at 9 hydrological stations in the Huaihe River Basin. It was found that: 1) streamflow mainly occurs during May to September, accounting for 70.4% of the annual total streamflowamount with Cv values between 0.16–0.85 and extremum ratio values between 1.70–23.90; 2) decreased streamflow can be observed in the Huaihe River Basin and significant decreased streamflow can be detected during April and May, which should be the results of precipitation change and increased irrigation demand; 3) significant periods of 2–4 yr were detected during the 1960 s, the 1980 s and the 2000 s. Different periods were found at stations concentrated within certain regions implying periods of streamflow were caused by different influencing factors for specific regions; 4) Pacific Decadal Oscillation(PDO) has the most significant impacts on monthly streamflow mainly during June. Besides, Southern Oscillation Index(SOI), North Atlantic Oscillation(NAO) and the Ni?o3.4 Sea Surface Temperature(Ni?o3.4) have impacts on monthly streamflow with three months lags, and was less significant in time lag of six months. Identification of critical climatic factors having impacts on streamflow changes can help to predict monthly streamflow changes using climatic factors as explanatory variables. These findings were well corroborated by results concerning impacts of El Nino-Southern Oscillation(ENSO) regimes on precipitation events across the Huaihe River Basin. The results of this study can provide theoretical background for basin-scale management of water resources and agricultural irrigation.  相似文献   
45.
牛方曲  杨欣雨  孙东琪 《热带地理》2020,40(6):1109-1116
文章关注于产业、人口与资源环境要素的作用关系,建构了资源环境承载力综合评价框架,并以海南省为案例区开展应用研究。该框架首先对区域产业重要性进行评价并分级,为产业结构调整提供依据;其次解析了区域产业、人口资源消耗与污染排放强度,最后,基于产业评价结果设定不同的产业结构调整情景,结合产业和人口的资源消耗与污染排放强度评价不同产业结构下的资源环境承载力,即产业和人口的规模上限。结果表明:2016年海南省的经济规模并未超载,产业有进一步发展空间。其中土地资源成为海南省发展的首要限制因素,其次是水环境;海南经济效益较高的支柱产业和基础性产业多为高耗水、高污染的产业,亟需加强水资源的集约利用,并降低污染排放强度。为提升经济发展规模上限,需要培育低能耗、低排放的产业。文章建构的资源环境承载力评价方法将产业、人口与资源环境相联系,其评价结果政策意义更为明确,可为优化产业结构调整、控制产业及人口发展规模提供决策参考。  相似文献   
46.
An approach for nonstationary low‐flow frequency analysis is developed and demonstrated on a dataset from the rivers on the Loess Plateau of China. Nonstationary low‐flow frequency analysis has drawn significant attention in recent years by establishing relationships between low‐flow series and explanatory variables series, but few studies have tested whether the time‐varying moments of low flow can be fully described by the time‐varying moments of the explanatory variables. In this research, the low‐flow distributions are analytically derived from the 2 basic explanatory variables—the recession duration and the recession coefficient—with the assumption that the recession duration and recession coefficient variables follow exponential and gamma distributions, respectively; the derived low‐flow distributions are applied to test whether the time‐varying moments of explanatory variables can explain the nonstationarities found in the low‐flow variable. The effects of ecosystem construction measures, that is, check dam, terrace, forest, and grassland, on the recession duration and recession coefficient are further discussed. Daily flow series from 11 hydrological stations from the Loess Plateau are used and processed with a moving average technique. Low‐flow data are extracted following the pit under threshold approach. Six of the 11 low‐flow series show significant nonstationarities at the 5% significance level, and the trend curves of the moments of low flow are in close agreement with the curves estimated from the derived distribution with time‐dependent moments of the recession duration and time‐constant moments of the recession coefficient. It is indicated that the nonstationarity in the low‐flow distribution results from the nonstationarity in the recession duration in all 6 cases, and the increase in the recession duration is resulted from large‐scale ecosystem constructions rather than climate change. The large‐scale ecosystem constructions are found to have more influence on the decrease in streamflow than on the increase in watershed storage, thus resulting in the reduction of low flow. A high return period for the initial fixed design value decreases dramatically with an increasing recession duration.  相似文献   
47.
内蒙古自治区碾子沟钼矿床地处华北地台北缘西拉木伦钼成矿带西段,为一典型的中型石英脉型钼矿床。该钼矿床矿脉(体)主要产于燕山早期二长花岗岩-钾长花岗岩内NNW、NW向断裂构造体系之中,成矿作用过程经历了黄铁矿±辉钼矿+石英(Ⅰ)、辉钼矿+黄铁矿±黄铜矿+石英(Ⅱ)、黄铜矿+黄铁矿±闪锌矿+石英(Ⅲ)及石英±方解石(Ⅳ)4个阶段。系统的流体包裹体岩相学、包裹体组分析、包裹体显微测温研究表明,矿床初始成矿流体为高温、中低盐度(490~550℃,盐度(w(NaC1))2%~10%,50~62 MPa)均匀的NaCl-H2O体系热液,δ18OH2O-SMOW(2.21‰)及δDH2O-SMOW(-68.9‰)表明其主要来源于岩浆热液;成矿流体上升并不断汇聚于容矿断裂空间,伴随温度、压力降低(380~460℃,26~40 MPa→360~420℃,25~30 MPa)而进入两相不混溶区,流体开始发生沸腾→强烈沸腾作用,导致成矿元素Mo大量沉淀富集成矿,成矿晚期残余流体与大气降水混合(δ18OH2O-SMOW为-2.41‰~2.51‰,δDH2O-SMOW为-110.1‰~-105.5‰),矿床属燕山早期中高温岩浆热液型钼矿床。  相似文献   
48.
Classic porphyry Cu–Mo deposits are mostly characterized by close temporal and spatial relationships between Cu and Mo mineralization. The northern Dabate Cu–Mo deposit is a newly discovered porphyry Cu–Mo polymetallic deposit in western Tianshan, northwest China. The Cu mineralization postdates the Mo mineralization and is located in shallower levels in the deposit, which is different from most classic porphyry Cu–Mo deposits. Detailed field investigations, together with microthermometry, laser Raman spectroscopy, and O‐isotope studies of fluid inclusions, were conducted to investigate the origin and evolution of ore‐forming fluids from the main Mo to main Cu stage of mineralization in the deposit. The results show that the ore‐forming fluids of the main Mo stage belonged to an NaCl + H2O system of medium to high temperatures (280–310°C) and low salinities (2–4 wt% NaCl equivalent (eq.)), whereas that of the main Cu stage belonged to an F‐rich NaCl + CO2 + H2O system of medium to high temperatures (230–260°C) and medium to low salinities (4–10 wt% NaCl eq.). The δ18O values of the ore‐forming fluids decrease from 3.7–7.8‰ in the main Mo stage to ?7.5 to ?2.9‰ in the main Cu stage. These data indicate that the separation of Cu and Mo was closely related to a large‐scale vapor–brine separation of the early ore‐forming fluids, which produced the Mo‐bearing and Cu‐bearing fluids. Subsequently, the relatively reducing (CH4‐rich) Mo‐bearing, ore‐forming fluids, dominantly of magmatic origin, caused mineralization in the rhyolite porphyry due to fluid boiling, whereas the relatively oxidizing (CO2‐rich) Cu‐bearing, ore‐forming fluids mixed with meteoric water and precipitated chalcopyrite within the crushed zone at the contact between rhyolite porphyry and wall rock. We suggest that the separation of Cu and Mo in the deposit may be attributed to differences in the chemical properties of Cu and Mo, large‐scale vapor–brine separation of early ore‐forming fluids, and changes in oxygen fugacity.  相似文献   
49.
为解决以往模型未考虑地下水位相关影响因素的问题,探讨长短期记忆(LSTM)神经网络在地下水位预测中的应用,利用长短期记忆神经网络,采用多变量输入的方式,构建了基于多变量LSTM神经网络的地下水水位预测模型。以泰安市岱岳区J1号监测井为例,采用2001-2014年地下水水位动态监测资料与相关影响因素数据,利用多变量LSTM神经网络对2015-2016年地下水位进行预测,并与单变量LSTM神经网络和反向传播(BP)神经网络进行对比。研究结果表明:以相关影响变量为输入的BP神经网络无法考虑时序变化规律,预测均方根误差最大,为2.399 3;以地下水位为变量输入的单变量LSTM神经网络仅能根据时序变化作出相应预测,无法考虑相关变量影响,预测均方根误差为2.102 2;基于多变量输入的LSTM神经网络的预测精度显著高于单变量LSTM神经网络和BP神经网络,预测均方根误差最小,仅为1.919 1。总体上,多变量LSTM神经网络地下水位预测模型仅在某些峰值处误差较大,但总体预测效果较为理想。  相似文献   
50.
甘肃北山地区位于中亚造山带中段,是诠释中亚造山带构造演化的关键区域之一,长期以来受到地质学界的广泛关注。柳园地区位于甘肃北山南带,区内脉岩发育,这些岩脉的研究可以为阐释北山造山带晚古生代构造背景提供更多证据。基于此,本文选取位于甘肃柳园地区的正长花岗斑岩脉开展了系统的锆石U-Pb-Hf同位素和全岩主量、微量元素分析。LA-ICP-MS锆石U-Pb分析显示,岩脉侵位于早二叠世((288.5±1.4)Ma)。全岩地球化学分析显示,正长花岗斑岩脉的SiO2和全碱质量分数较高,Fe、Mg、Ca、Al和P质量分数较低,Rb、Th、U和Pb相对富集,Ba、Nb、La、Ce、Sr和Ti等元素相对亏损,Eu负异常显著,具有较高的Rb/Sr值和较低的K/Rb值及锆石饱和温度(730~844℃,集中于740℃左右),显示该岩脉为高钾钙碱性高分异I型花岗岩,并具有俯冲带岩浆活动的地球化学特征。正长花岗斑岩脉具有较低的Zr/Hf值(18.42~28.01,平均值为22.37)和Th/U值(3.82~7.99,平均值为5.34),与平均地壳组分接近,锆石εHft)值为2.94~9.66,平均值为5.72,TDM2值为955~611 Ma,指示源区主体为新元古代地壳的部分熔融,并存在幔源物质加入。根据构造判别图解并结合前人关于二叠纪区域构造变形、盆地沉积物源、岩浆演化等方面的研究结果,笔者认为该正长花岗斑岩脉形成于俯冲作用过程中的局部伸展环境,并认为北山地区增生造山事件至少持续到早二叠世。  相似文献   
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