Spatial and seasonal variability of sediment accumulation potential through controlled flooding of the beels located in the polders of the Ganges-Brahmaputra-Meghna delta of Southwest Bangladesh

The Ganges-Brahmaputra-Meghna (GBM) delta plain within Bangladesh is one of the most vulnerable to relative sea level rise (RSLR) in the world especially under current anthropogenically modified (i.e., embanked) conditions. Tidal river management (TRM) as practiced in coastal regions of Bangladesh may provide an opportunity to combat RSLR by raising the land level through controlled sedimentation inside beels (depression within embanked polders) with re-opening of polders. To date, TRM has been applied to tide-dominated coastal regions, but the potential applicability of TRM for the beels within the polders of river-dominated and mixed flow (MF) regimes remains to be assessed. We apply a calibrated 2D numerical hydromorphodynamic model to quantify sediment deposition in a beel flooded through breaching of the polder dike under conditions of river-dominated, tide-dominated and MF regimes for different seasons and applying different regulation schemes for the flow into the beel. Simulation results show considerable seasonality in sediment deposition with largest deposition during the monsoon season. The potential of controlled flooding is highest in the tide-dominated region, where sediment accumulation can be up to 28 times higher than in the river-dominated region. Regulating flow into a beel increases trapping efficiency, but results in slightly lower total deposition than without regulation. We conclude that re-establishing flooding of the beel within the polder without regulating the flow into the beel through breaching of the polder dike is a promising strategy for the mixed and tide-dominated flow regions in the delta as the sediment accumulation can raise the land surface at a higher rate than RSLR and effective SLR (ESLR). In the more upstream river-dominated section of the delta, accumulation rates would be much lower, but the pressure of sea level rise on these areas is lower as well. Owing to the abundant availability of sediment, application of controlled flooding like TRM therefore provides an opportunity to counteract the impact of RSLR and ESLR by means of land raising, particularly along the tidal river reaches in the GBM delta.     

滑坡危险性预测模型的设计与实现

滑坡灾害的发生严重影响人类社会的生产生活,因此对滑坡灾害的预警预测工作一直是地质灾害监测和防治的重点,国内外众多学者都对此进行了相应研究。本文在前人的研究基础上把信息量模型和降雨诱发指数应用在滑坡预测研究中,充分考虑两者的耦合影响,建立了滑坡危险性预测模型,并完成了模型的开发工作。该模型实现了滑坡灾害危险性预测的快速化、自动化,并且已集成到江西省地质灾害预警预报分析决策系统中,得到了成功应用。     

地质环境容量与评价研究

本文系统总结了当今地质环境容量研究存在的主要问题及发展趋势,应用地质环境容量评价指标体系,初步建立了地质环境容量评价理论框架.在此基础上结合上海市主要环境地质问题,分析其主要影响因素,分层次选取合适的评价指标,对上海市地质环境容量进行实证分析.     

特大型桥梁施工GPS高程控制网技术研究

探索了采用GPS技术建立桥梁施工高程控制网的难点及关键问题,分析了GPS跨河高程传递测量方法的技术要点,结合工程实例得出了一些结论和建议。     

县(市)绝对地震应急能力评估方法的初步研究

县(市)地震应急能力的高低直接关系到中国整个地震应急工作的成效.从县(市)绝对地震应急能力的内涵分析出发,结合汶川地震灾区县(市)地震应急能力实地调研工作取得的认识,首先初步构建了县(市)绝对地震应急能力指标体系框架;然后以四川省县(市)为例,在遵循科学性、系统优化和可操作性原则的基础上,构建了围绕着1个目标层,设定5...     

基于海洋气候数据集的区域海平面变化非线性预测

本文基于中国首套长时间序列、高精度、高时空一致性的全球海洋气候数据集产品, 利用1993年1月至2015年12月的山东半岛近海海平面异常数据, 构建了基于集合经验模式分解(EEMD)和长短期记忆神经网络(LSTM)的海平面非线性变化组合预测模型。EEMD可以得到海平面异常的各周期项、线性趋势及残差部分, LSTM模型可对其进行逐个预测并重构得到最终的海平面异常预测结果。EEMD-LSTM组合模型海平面异常预测的均方根误差仅为25.87 mm, 取得了令人满意的效果。基于该组合模型预测2016-2025年山东半岛近海海平面上升速率将达到3.54 mm·a^-1。     

淮河流域5～6月降水的年际及年代际变化

对淮河流域降水异常进行分析对于预测黄海绿潮具有重要意义。选取淮河流域10个站,长江流域15个站,通过对国家气象信息中心1951~2011年的逐月降水数据进行分析,研究淮河流域和长江流域5~6月平均降水异常。2000~2010年,淮河流域5~6月降水呈现增加趋势,与长江流域降水呈反位相变化。分别对淮河流域5~6月平均降水异常与印度洋偶极子指数(Dipole Mode Index,DMI),以及太平洋年代际振荡(the Pacific Decadal Oscillation,PDO)指数做相关性分析,结果表明:淮河流域5~6月平均降水异常与6个月前的DMI指数达到最大正相关,与20个月前的北太平洋(20°N以北)SST呈现明显的负相关,与PDO指数达到最大负相关。这表明,PDO、DMI指数对淮河流域5~6月降水异常的年代际、年际变化具有明显的指示作用。     

Stability Study of a Tide Embankment Subjected to Sea Level Variations Using Centrifugal Model Tests

To investigate the behavior of dredged-sea-sand fill compacted inside tide embankments with a damaged geosynthetic mat, centrifugal model tests and numerical simulation were conducted, both considering variations in sea level. The results from the three centrifugal model tests demonstrate that the subsidence of the dredged-sea-sand fill inside tide embankments with a damaged geosynthetic mat was strongly affected by the loss of dredged-sea-sand into the filter layers with large particles and a decrease in the bearing capacity of the filter layers with small particles. In addition, a comparison of the test and simulation results confirms that the loss of sand into the filter layer and the subsidence of the dredged-sea-sand fill were well reproduced by the numerical simulation.     

风暴潮灾害情景下海岸带暴露指数时空演变研究——以福建省东山湾为例

暴露指数反映了环境在面对极端天气事件时承受灾害的潜在风险程度。研究利用遥感影像数据、数字高程数据(DEM)、海洋水深及风力数据等, 基于暴露指数模型, 以福建省东山湾为案例研究区域, 对风暴潮灾害情景下的海岸带暴露指数及其时空演变进行分析。研究结果显示: (1)近十年来, 东山湾海岸带暴露指数总体呈下降趋势, 潜在风险程度为“中”及以上区域占比由67.14%下降至59.06%, 海岸带在面对风暴潮灾害等极端天气事件时潜在的风险程度总体降低, 海湾地貌类型差异及其形态变化是影响东山湾暴露指数产生波动的主要原因; (2)基于暴露指数评价结果, 结合海岸带开发利用现状, 研究可对东山湾海岸带生态环境的敏感区域进行识别, 并制定具有针对性的开发利用与风险防范对策, 为海岸带空间规划、生态保护修复格局的科学划定提供理论支撑, 在助力海岸带陆海统筹和可持续发展上具有重要意义; (3)研究提出的一种基于时间序列的暴露指数研究技术路线和框架, 可为海岸带脆弱性评估、海岸带韧性评估、海岸带灾害监测预警等相关研究提供新的研究视角, 在基于深度学习的海岸带灾害风险预警与灾害模拟等方面也具有较为广阔的应用前景。     

基于稳定同位素方法的吕泗渔场近岸海域主要生物潜在碳源及营养级分析

基于稳定同位素方法,对2018年吕泗渔场近岸海域夏季主要生物种类的潜在碳源及其营养级进行分析,利用IsoSource模型计算该海域消费者的3大碳源（浮游植物、悬浮颗粒有机物、底质有机物）贡献值,并比较叠加潜在碳源影响前后主要生物种类的营养级变化。结果表明,浮游植物和底质有机物对37种主要生物种类的贡献比例分别为58.7%和28.2%,而悬浮颗粒有机物的贡献较小。因此判定吕泗渔场近岸海域夏季主要生物种类的潜在碳源主要是浮游植物和底质有机物。通过分别叠加3大潜在碳源和单一物种作为基准值构建两个营养级谱,右营养级谱的生物种类营养级范围为1.74～3.92,比左营养级谱平均下降0.19个营养级,尽管两个营养级谱的整体趋势走向不变,但部分鱼类和多数虾类的营养位置发生改变。右营养级谱的基准值随着潜在碳源叠加比例的不同而变化,能有效反映生物营养级,更适用于低营养级的虾蟹类。但对于处于中高级消费者位置的鱼类来说,这种叠加的效果影响不大。