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1.
利用黔西南州8个国家气象观测站1961~2020年的极端最高、最低和平均最高、最低气温资料,以年代为周期,分析近60年黔西南州极端最高、最低和平均最高、最低气温的时空演变特征。结果表明:夏季,北亚热带季风湿润气候区及南亚热带季风湿润气候区的平均最高气温、平均极端最高气温在60年代至80年代处于持续上升趋势,在90年代略下滑,进入21世纪后又持续上升。北亚热带季风湿润气候区,近60年平均最高气温升高0.96℃,平均极端最高气温升高0.43℃;南亚热带季风湿润气候区近60年平均最高气温升高0.73℃,平均极端最高气温升高0.62℃。冬季,北亚热带季风湿润气候区平均最低气温及平均极端最低气温在70年代至80年代处于持续上升趋势,90年代略下滑,而进入21世纪又转为上升,近60年平均最低气温升高0.92℃,平均极端最低气温升高1.64℃;南亚热带季风湿润气候区,冬季平均最低气温及平均极端最低气温近60年呈持续上升趋势,平均最低气温升高2.35℃,平均极端最低气温升高3.32℃。  相似文献   
2.
四川省青川县滑坡灾害群发,点多面广,区域滑坡灾害预警是有效防灾减灾的重要手段,预警模型是成功预警的核心。由于研究区滑坡诱发机理复杂、调查监测大数据及分析方法不足等原因,传统区域地质灾害预警模型存在预警精度有限、精细化不足等问题。文章在青川县地质灾害调查监测和降水监测成果集成整理与数据清洗基础上,构建了青川县区域滑坡灾害训练样本集,样本集包括地质环境、降雨等27个输入特征属性和1个输出特征属性,涵盖了青川县近9年(2010—2018年)全部样本,数量达1 826个(其中,正样本613个,负样本1 213个)。基于逻辑回归算法,对样本集进行5折交叉验证学习训练,采用贝叶斯优化算法进行模型优化,采用精确度、ROC曲线和AUC值等指标校验模型准确度和模型泛化能力。其中,ROC曲线也称为“受试者工作特征”曲线;AUC值表示ROC曲线下的面积。校验结果显示,基于逻辑回归算法的模型训练结果准确率和泛化能力均较好(准确率94.3%,AUC为0.980)。开展区域滑坡实际预警时,按训练样本特征属性格式,输入研究区各预警单元27个特征属性,调用预先学习训练好的模型,输出滑坡灾害发生概率,根据输出概率分段确定滑坡灾害预警等级。当输出概率P≥40%且P<60%时,发布黄色预警;当输出概率P≥60%且P<80%时,发布橙色预警;当输出概率P≥80%时,发布红色预警。  相似文献   
3.
邵晨晨 《探矿工程》2021,48(6):102-108
上海某国际金融大厦深大基坑项目北侧紧邻运营轨道交通8号线区间隧道,最近处仅7.87 m,南侧与现有世博共同管沟净距2.0~3.0 m,基坑变形控制要求高,周边环境敏感。同时,本项目位于黄浦江畔,场地浅层为典型的淤泥质软土地层,下部为富含承压水粉(砂)土层,且微承压水层与第一、第二承压水层互为连通,止水帷幕无法隔断承压水层,地质条件复杂。设计采用分坑施工、被动区加固、预应力伺服钢支撑系统、抽灌一体化降水方案、超深地下连续墙、跟踪注浆、型钢垫层等技术方案。实测结果表明,区间隧道的最大变形6.52 mm,共同管沟的最大变形15.3 mm,其最大变形均满足变形控制要求,确保了运营区间隧道和共同管沟的安全。  相似文献   
4.
Systematic variations in atmospheric heat exchange, surface residence time, and groundwater influx across montane stream networks commonly produce an increasing stream temperature trend with decreasing elevation. However, complex stream temperature profiles that differ from this common longitudinal trend also exist, suggesting that stream temperatures may be influenced by complex interactions among hydrologic and atmospheric processes. Lakes within stream networks form one potential source of temperature profile complexity due to the spatially variable contribution of lake-sourced water to stream flow. We investigated temperature profile complexity in a multi-season stream temperature dataset collected across a montane stream network containing many alpine lakes. This investigation was performed by making comparisons between multiple statistical models that used different combinations of stream and lake characteristics to represent specific hypotheses for the controls on stream temperature. The compared models included a set of models which used a topographically derived estimate of the hydrologic influence of lakes to separate and quantify the effects of stream elevation and lake source-water contributions to longitudinal stream temperature patterns. This source-water mixing model provided a parsimonious explanation for complex stream-network temperature patterns in the summer and autumn, and this approach may be further applicable to other systems where stream temperatures are influenced by multiple water sources. Simpler models that discounted lake effects were more optimal during the winter and spring, suggesting that complex patterns in stream temperature profiles may emerge and subside temporally, across seasons, in response to diversity of water temperatures from different sources.  相似文献   
5.
The 33 086 ha mixed land use Fall Creek watershed in upstate New York is part of the Great Lakes drainage system. Results from more than 3500 water samples are available in a data set that compiles flow data and measurements of various water quality analytes collected between 1972 and 1995 in all seasons and under all flow regimes in Fall Creek and its tributaries. Data is freely accessible at https://ecommons.cornell.edu/handle/1813/8148 and includes measurements of suspended solids, pH, alkalinity, calcium, magnesium, potassium, sodium, chloride, nitrate nitrogen (NO3-N), sulphate sulphur (SO4-S), phosphorus (P) fractions molybdate reactive P (MRP) and total dissolved P (TDP), percent P in sediment, and ammonium nitrogen (NH4-N). Methods, sub-watershed areas, and coordinates for sampling sites are also included. The work represented in this data set has made important scientific contributions to understanding of hydrological and biogeochemical processes that influence loading in mixed use watersheds and that have an impact on algal productivity in receiving water bodies. In addition, the work has been foundational for important regulatory and management decisions in the region.  相似文献   
6.
Macrophyte community diversity and composition respond to ecosystem conservation and local environmental factors. In this study, we developed a multidimensional diversity framework for macrophyte communities, including the taxonomic and functional alpha and beta diversity. We used the framework to explore the relationships among water level regimes and these diversity parameters in a case study of China's Baiyangdian Lake. Analysis of indicators of hydrologic alteration divided the water level from 1959 to 2019 into four regimes (dry, <6.42 m; low, 6.42–7.23 m; medium, 7.23–8.19 m; high, >8.19 m). Alpha and beta diversity were significantly higher in the medium regime than in the low and high regimes. Redundancy analysis indicated that the maximum water depth significantly affected taxonomic alpha diversity, and total nitrogen (TN) and chemical oxygen demand (COD) concentration significantly affected functional alpha diversity, respectively. Mantel tests showed that TN, Secchi depth (SD), and water depth in the high water level regime significantly increased the total beta diversity and turnover components. TN was the main factor that increased total taxonomic beta diversity. Water level regime mainly influenced interspecific relationships by changing the TN and COD concentration. The water level should be maintained between the medium and high water level regimes to promote restoration of the macrophyte community and improve ecosystem stability. The biodiversity evaluation framework would provide a deeper insight into the hydrological process management for restoration of aquatic macrophyte communities in shallow lakes.  相似文献   
7.
为提升对长江流域水文地质和地下水资源的认知程度,突破以往单独从地表水或地下水角度进行评价的局限性,长江流域水文地质调查工程以地球系统科学理论和水循环理论为指导,充分考虑地表水与地下水的转化关系,将水文地质单元和地表水流域有机结合,划分长江流域地下水评价单元,建立典型地下水资源评价模型,开展了新一轮长江流域地下水资源评价。评价结果表明:(1)长江流域水循环要素时空分布不均,降水以中游最多,并由东南向西北递减;地表径流主要集中在夏季,且长江北岸比南岸集中程度更高;蒸散发量总体上呈现东部高于西部的特征,最大值集中在长江中游一带;长江流域地下水位总体保持稳定,丰枯季水位变化总体不大,一般小于2 m;长三角超采区的地下水漏斗面积已明显减小,相关环境地质问题得到了有效控制。(2)2020年长江流域的地下水资源总量2421.70亿m~3/a,其中山丘区地下水资源量2092.79亿m~3/a,平原区地下水资源量331.35亿m~3/a;地下水储存量较2019年整体略有增加趋势,其中四川盆地最为明显,共增加23.72亿m~3。(3)长江流域的水质上游优于下游,优质地下水主要分布在赣南地区和大别山南麓一带,部分地区水质较差的主要原因是原生劣质水的广泛分布。长江流域地下水开发利用水平整体很低,局部地区由于过往不合理的开发所引发的环境地质问题已得到缓解,岩溶塌陷、地面沉降等问题得到了较好控制。建议适当开发利用赣南地区和大别山南麓一带优质的基岩裂隙水。  相似文献   
8.
通过研究马五段去白云石化作用的成因及发生模式,可进一步了解鄂尔多斯盆地南部奥陶系碳酸盐岩储集层成岩和物性的演化。通过岩心与薄片的观察,结合地球化学方法,和对白云岩的碳、氧同位素与微量元素的测定,分析了去白云石化作用成因及成岩演化过程,并结合物性资料分析去白云石化作用对储集层的影响,建立了研究区去白云石化的作用模式。结合样品的碳氧同位素和微量元素特征显示:M51+2含石膏结核的白云岩层段普遍受淡水淋滤作用影响,但只有部分层段发生淡水淋滤成因的去白云石化作用,Th/U、Th/Cr、Cr/Zr与Y/Ho特征表明由于淡水淋滤作用,大气淡水溶解陆源花岗岩类物质并携带陆源泥质灌入岩层。淡水淋滤去白云石化作用流体Ca2+源来自溶解蒸发岩(膏盐层)和石膏结核, CO 3 2 - 源来自表生期白云石化作用方解石分解,流体主要运移通道为溶蚀缝和缝合线;作用过程分为表生—浅埋藏期的交代过程和浅埋藏期的胶结过程,富Ca2+ CO 3 2 - 大气淡水流至运移通道末端,沿晶间缝下渗,造成白云石的选择性溶蚀和方解石对其的等体积交代,方解石胶结物填充晶间孔、缝和裂隙,使白云岩物性变差。  相似文献   
9.
Redox hot spots occurring as metal-rich anoxic groundwater discharges through oxic wetland and river sediments commonly result in the formation of iron (Fe) oxide precipitates. These redox-sensitive precipitates influence the release of nutrients and metals to surface water and can act as ‘contaminant sponges’ by absorbing toxic compounds. We explore the feasibility of a non-invasive, high-resolution magnetic susceptibility (MS) technique to efficiently map the spatial variations of magnetic Fe oxide precipitates in the shallow bed of three rivers impacted by anoxic groundwater discharge. Laboratory analyses on Mashpee River (MA, USA) sediments demonstrate the sensitivity of MS to sediment Fe concentrations. Field surveys in the Mashpee and Quashnet rivers (MA, USA) reveal several discrete high MS zones, which are associated with likely anoxic groundwater discharge as evaluated by riverbed temperature, vertical head gradient, and groundwater chemistry measurements. In the East River (CO, USA), widespread cobbles/rocks exhibit high background MS from geological ferrimagnetic minerals, thereby obscuring the relatively small enhancement of MS from groundwater induced Fe oxide precipitates. Our study suggests that, in settings with low geological sources of magnetic minerals such as lowland rivers and wetlands, MS may serve as a complementary tool to temperature methods for efficiently mapping Fe oxide accumulation zones due to anoxic groundwater discharges that may function as biogeochemical hot spots and water quality control points in gaining systems.  相似文献   
10.
Mitigating and adapting to global changes requires a better understanding of the response of the Biosphere to these environmental variations. Human disturbances and their effects act in the long term (decades to centuries) and consequently, a similar time frame is needed to fully understand the hydrological and biogeochemical functioning of a natural system. To this end, the ‘Centre National de la Recherche Scientifique’ (CNRS) promotes and certifies long-term monitoring tools called national observation services or ‘Service National d'Observation’ (SNO) in a large range of hydrological and biogeochemical systems (e.g., cryosphere, catchments, aquifers). The SNO investigating peatlands, the SNO ‘Tourbières’, was certified in 2011 ( https://www.sno-tourbieres.cnrs.fr/ ). Peatlands are mostly found in the high latitudes of the northern hemisphere and French peatlands are located in the southern part of this area. Thus, they are located in environmental conditions that will occur in northern peatlands in coming decades or centuries and can be considered as sentinels. The SNO Tourbières is composed of four peatlands: La Guette (lowland central France), Landemarais (lowland oceanic western France), Frasne (upland continental eastern France) and Bernadouze (upland southern France). Thirty target variables are monitored to study the hydrological and biogeochemical functioning of the sites. They are grouped into four datasets: hydrology, fluvial export of organic matter, greenhouse gas fluxes and meteorology/soil physics. The data from all sites follow a common processing chain from the sensors to the public repository. The raw data are stored on an FTP server. After operator or automatic processing, data are stored in a database, from which a web application extracts the data to make them available ( https://data-snot.cnrs.fr/data-access/ ). Each year at least, an archive of each dataset is stored in Zenodo, with a digital object identifier (DOI) attribution ( https://zenodo.org/communities/sno_tourbieres_data/ ).  相似文献   
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