非潮汐淹水对白骨壤膜脂过氧化系统的影响

通过室内模拟非潮汐淹水,探索不同淹水水位条件下,红树植物白骨壤(A.marina(Forsk.)Vierh).超氧化物歧化酶(SOD)、过氧化氢酶(CAT)、丙二醛(MDA)随时间的变化情况。结果表明,经历第二个淹水周期后,较第一个周期各梯度,白骨壤超氧化物歧化酶活性(SOD)从高到低排序不变,过氧化氢酶活性(CAT)、丙二醛的量(MDA)也表现出相同的规律。本研究结论为红树植物在人工非潮汐生境下,红树林造林的关键技术之一——淹水水位的控制提供了数据参考。     

三峡工程建设前后库区城镇发展与环境变化

利用卫星遥感监测,分析三峡工程建设前后库区城镇发展类型、时空过程,揭示库区城镇变化的驱动力,探索了城镇扩展与人口城镇化关系,研究城镇环境变化特征。三峡库区城镇规模发展不均衡,库尾城市规模庞大,库中、东部区县级城市规模较小,而乡镇的比例占城镇面积24%;在过去15 a中,建城区规模扩大172%,高于全国省会城市发展水平72%;三峡库区城镇规模扩大的同时,东西城镇规模差距逐步缩小,三峡工程建设起着重要的推动作用;城镇发展以侵占了优质耕地资源为代价,耕地占城镇变化83%;城镇用地变化与人口城市化发展不平衡,城镇空间发展快于人口城镇化过程,城镇对农村人口的吸引力不及全国省会城市平均水平,在2007年城市化率低于全国水平13%,差距进一步扩大;城市空间结构发展模式受地形和土地资源的限制,城市分维数和坡度分别增加12%和104°,城市向潜山区扩展或搬迁的同时,城市空间的完整性下降     

Partitioning of metals in a degraded acid sulfate soil landscape: influence of tidal re-inundation

The oxidation and acidification of sulfidic soil materials results in the re-partitioning of metals, generally to more mobile forms. In this study, we examine the partitioning of Fe, Cr, Cu, Mn, Ni and Zn in the acidified surface soil (0-0.1 m) and the unoxidised sub-soil materials (1.3-1.5 m) of an acid sulfate soil landscape. Metal partitioning at this acidic site was then compared to an adjacent site that was previously acidified, but has since been remediated by tidal re-inundation. Differences in metal partitioning were determined using an optimised six-step sequential extraction procedure which targets the “labile”, “acid-soluble”, “organic”, “crystalline oxide”, “pyritic” and “residual” fractions. The surficial soil materials of the acidic site had experienced considerable losses of Cr, Cu, Mn and Ni compared to the underlying parent material due to oxidation and acidification, yet only minor losses of Fe and Zn. In general, the metals most depleted from the acidified surface soil materials exhibited the greatest sequestration in the surface soil materials of the tidally remediated site. An exception to this was iron, which accumulated to highly elevated concentrations in the surficial soil materials of the tidally remediated site. The “acid-soluble”, “organic” and “pyritic” fractions displayed the greatest increase in metals following tidal remediation. This study demonstrates that prolonged tidal re-inundation of severely acidified acid sulfate soil landscapes leads to the immobilisation of trace metals through the surficial accumulation of iron oxides, organic material and pyrite.     

Probabilistic Flood Inundation Forecasting Using Rating Curve Libraries

One approach for performing uncertainty assessment in flood inundation modeling is to use an ensemble of models with different conceptualizations, parameters, and initial and boundary conditions that capture the factors contributing to uncertainty. However, the high computational expense of many hydraulic models renders their use impractical for ensemble forecasting. To address this challenge, we developed a rating curve library method for flood inundation forecasting. This method involves pre‐running a hydraulic model using multiple inflows and extracting rating curves, which prescribe a relation between streamflow and stage at various cross sections along a river reach. For a given streamflow, flood stage at each cross section is interpolated from the pre‐computed rating curve library to delineate flood inundation depths and extents at a lower computational cost. In this article, we describe the workflow for our rating curve library method and the Rating Curve based Automatic Flood Forecasting (RCAFF) software that automates this workflow. We also investigate the feasibility of using this method to transform ensemble streamflow forecasts into local, probabilistic flood inundation delineations for the Onion and Shoal Creeks in Austin, Texas. While our results show water surface elevations from RCAFF are comparable to those from the hydraulic models, the ensemble streamflow forecasts used as inputs to RCAFF are the largest source of uncertainty in predicting observed floods.     

Evaluating the impacts of sea level rise on coastal wetlands in Languedoc-Roussillon,France

Sea-level rise due to climate change creates new risks of submersion in coastal areas that must be taken into account. Although these are long-term risks for 2100, it is important to anticipate possible consequences in order to identify the most vulnerable areas or issues and develop the appropriate adaptation policies. The aim of this paper is to examine the consequences of such sea-level rise for wetlands in the Languedoc-Roussillon region (France) which is particularly at risk of submersion. The analysis is based on the worst case scenario of a one meter sea level rise by 2100, with a variety of adaptive strategies: denial, laissez-faire and strategic retreat of infrastructure and buildings. This latter strategy assumes that the retreat wetlands is unconstrained. The evaluation examines the losses and transformations of ecological habitats, depending on their distance from salt water. Estimating damages and benefits requires first, to study the evolution of the services supplied by different habitats and second, to estimate the value of the economic impact. This approach demonstrates the superiority of a strategic retreat policy which would halve the damages resulting from submersion.     

Advancing values-based approaches to climate change adaptation: A case study from Australia

Coastal flooding affects physical and social place attachments. Values-based approaches to climate change adaptation examine how risks to place attachments are distributed within and among communities, with a view to informing equitable adaptation policies. In this nascent body of research, divergent theoretical frameworks and empirical approaches to measuring social values are evolving. While some studies explore the things people value about their everyday lives generally—the lived values approach, others locate specific social and cultural values in geographic space—the landscape values mapping approach. This study aims to compare the explanatory value of these two approaches for understanding the social risks of sea-level rise, and appraise whether either or both approaches are likely to meet local adaptation planning needs. It does this by examining the potential social impacts of sea-level rise in Kingston Beach, Australia, informed by a mail-out survey of the community. The lived values approach identified that the natural environment, scenery, relaxed lifestyle and safety are highly important to local residents, while the landscape values mapping approach revealed that Kingston Main Beach is the most highly valued of eight coastal landscape units. Incorporating the landscape values mapping into the lived values cluster analysis revealed that while Kingston Main Beach is highly important for its recreational value to some members of the community, for others manmade features such as community halls or sports ovals may be of higher importance because they facilitate social interactions. There is potential to further integrate these two approaches to better inform adaptation policy about how lived and landscape values are distributed among communities, where they are located in space and whether they change over time. A deeper understanding of such assigned values can lead to improved engagement with coastal residents to inform adaptation policy now and into the future.     

Error Assessment for Height Above the Nearest Drainage Inundation Mapping

Real‐time flood inundation mapping is vital for emergency response to help protect life and property. Inundation mapping transforms rainfall forecasts into meaningful spatial information that can be utilized before, during, and after disasters. While inundation mapping has traditionally been conducted on a local scale, automated algorithms using topography data can be utilized to efficiently produce flood maps across the continental scale. The Height Above the Nearest Drainage method can be used in conjunction with synthetic rating curves (SRCs) to produce inundation maps, but the performance of these inundation maps needs to be assessed. Here we assess the accuracy of the SRCs and calculate statistics for comparing the SRCs to rating curves obtained from hydrodynamic models calibrated against observed stage heights. We find SRCs are accurate enough for large‐scale approximate inundation mapping while not as accurate when assessing individual reaches or cross sections. We investigate the effect of terrain and channel characteristics and observe reach length and slope predict divergence between the two types of rating curves, and SRCs perform poorly for short reaches with extreme slope values. We propose an approach to recalculate the slope in Manning’s equation as the weighted average over a minimum distance and assess accuracy for a range of moving window lengths.     

Estimating Floodwater Depths from Flood Inundation Maps and Topography

Information on flood inundation extent is important for understanding societal exposure, water storage volumes, flood wave attenuation, future flood hazard, and other variables. A number of organizations now provide flood inundation maps based on satellite remote sensing. These data products can efficiently and accurately provide the areal extent of a flood event, but do not provide floodwater depth, an important attribute for first responders and damage assessment. Here we present a new methodology and a GIS‐based tool, the Floodwater Depth Estimation Tool (FwDET), for estimating floodwater depth based solely on an inundation map and a digital elevation model (DEM). We compare the FwDET results against water depth maps derived from hydraulic simulation of two flood events, a large‐scale event for which we use medium resolution input layer (10 m) and a small‐scale event for which we use a high‐resolution (LiDAR; 1 m) input. Further testing is performed for two inundation maps with a number of challenging features that include a narrow valley, a large reservoir, and an urban setting. The results show FwDET can accurately calculate floodwater depth for diverse flooding scenarios but also leads to considerable bias in locations where the inundation extent does not align well with the DEM. In these locations, manual adjustment or higher spatial resolution input is required.     

三峡库区消落带3种植物淹水后汞的动态变化及其对水体的影响

被淹没的植物是水库甲基汞异常升高的来源之一.为探寻淹水条件下三峡水库消落带植物中汞的动态变化特征及其对水体的影响,通过室内模拟试验,研究淹水条件下稗草、狗牙根、玉米秸秆中汞含量变化及其向水体释汞情况.结果表明,3种植物总汞含量范围为9.21~12.07 ng·g-1,甲基汞占总汞的质量分数约为1%~2%.淹水后,植物总汞含量逐渐降低,其降幅为35.81%~55.96%;而上覆水溶解态汞(DHg)浓度迅速上升,增幅为103.23%~232.15%,说明植物腐烂分解会向水体释放汞.淹水环境为植物体组织内甲基化提供了充裕条件,导致植物残体甲基汞含量升高,为初始含量的3.04~6.63倍,而上覆水溶解态甲基汞(DMe Hg)浓度也显著升高,为初始浓度的14.84~16.05倍.淹水期间,上覆水中DMe Hg与溶解氧(DO)浓度表现为极显著负相关,与可溶性有机碳(DOC)浓度存在显著正相关.而在整个淹水过程中,上覆水DHg浓度变化量为植物总汞释放量的41.74%~47.01%,且各植物残体总汞含量与上覆水DHg浓度存在极显著负相关.     

太湖流域水灾演变与环境变迁的相关分析

新石器时期以来,太湖地区的水灾发生机制和表现形式严格受控于海、地、气系统的能量均衡和转换过程,具有明显的阶段性特征,遵循由海洋优势性向海面控制基准下陆源洪水的演变过程.愈接近现代,成灾和干扰因素愈趋复杂,逐渐呈现出水灾与环境相互反馈使水灾加深(岗身体系形成并完善,太湖形成并扩张以来),以及人类活动、水灾与环境三者间相互反馈使水灾频度加大等趋势(尤其自南宋以来).提出了相对高海面的水灾控制基面效应和太湖水灾扩张效应等观点.