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171.
172.
富营养化会导致浅水湖泊发生稳态转换,生态系统服务严重受损。磷是驱动湖泊发生稳态转换的重要环境因子,探究湖水磷浓度的变化规律是湖泊管理的关键。通过磷动力学模型,从影响湖水磷浓度的主要参数入手,探讨了每种参数变化对磷浓度的具体影响。结合前人研究结果,详细讨论了不同类型气候变化和人类活动对湖泊稳态转换时间、滞后时长、修复速率等的影响。研究认为,气候变化所导致的温度升高、光强减弱、风浪增强等和人类活动所导致的生物扰动、水位波动增强等因素变化虽不会改变湖泊稳态转换突变时间,但会推迟湖泊修复时间,造成突变阈值减小,滞后时间延长,稳态增大。在湖泊保护中要重点考虑主要外力驱动对湖泊稳态转换过程影响的区别,避免有害突变的发生。  相似文献   
173.
地下水在干旱/半干旱地区的生态环境保护中起着主导作用。柴达木盆地北缘的大柴旦湖地处西北干旱区,其生态环境较为脆弱,了解该地区的地下水水化学演化特征,对这一生态敏感地区的地下水可持续利用至关重要。本研究通过采集该地区28 个具有代表性的水样,运用数理统计、Piper图、Gibbs图、离子比值、饱和指数和反向水文地球化学模拟等方法,分析了研究区地下水水化学类型分布特征,探讨了地下水水化学演化过程中的水岩作用。结果表明:(1)由山前冲洪积扇到大柴旦湖,地下水水化学类型由HCO3·Cl·SO4-Na·Ca型向SO4·Cl-Ca·Na、Cl-Na型演化转变,总溶解固体物含量由小于1 g/L增至380 g/L以上。(2)Gibbs图、主要离子比值分析及饱和指数表明,研究区地下水水化学特征主要受水岩作用和蒸发结晶作用控制,沿地下水流路径上,主要发生了岩盐、石膏的溶解,方解石的沉淀,白云石和长石的溶解或沉淀。氯碱指数、[(Na++K+)-Cl-]与[(Ca2++Mg2+)-( HCO 3 -+ SO 4 2 -)]关系表明,阳离子交换作用也影响着该地区地下水水化学组分的形成。(3)通过反向水文地球化学模拟,定量验证了地下水径流过程的主要水-岩作用。  相似文献   
174.
地震数据是利用地震学方法探测地下结构的基础条件,然而传统地震仪器难以获得极端环境地区(水下、高原等)的长时间、高密度连续数据。较之国际仪器厂商,国内的DAS研制相对较晚。自2016年起,国产DAS逐步应用于石油测井和城市区域地下结构探测,而运用在极端环境下的探测工作尚未见报道。中国科学院半导体研究所与青藏高原研究所经过多年合作研究,于2021年4月将自主研发的DAS系统首次应用于青藏高原的野外数据采集。本次试验同时记录了地面和水下的连续背景噪声和重锤数据。该研究利用背景噪声成像技术,获得了西藏易贡湖地区地表70 m以内的横波速度结构。本次研究为极端环境下的低成本、高密度数据采集和地下结构探测提供了理论和试验依据。  相似文献   
175.
苏怀  史正涛  董铭  叶燎原  叶蕾 《地学前缘》2021,28(2):202-210
古堰塞湖溃决洪水事件的重建是当前地学研究的热点问题之一,寻找足够的可参考的现代溃决洪水事件案例是顺利开展这项工作的基础。2018年11月13日发生在金沙江干流的白格堰塞湖超万年一遇的溃决洪水事件(学术界称之为“11·3”白格堰塞湖溃决洪水事件)就是一个难得的样本。这次溃决事件发生在枯水期,洪峰完全由溃决洪水产生,没有叠加其他来源,对评估流域地貌和沉积体系对堰塞溃决事件的响应有很好的参考价值。本文以溃决洪水事件受灾最为严重的奔子栏—石鼓段为研究区,通过详细的野外调查和初步的水力学估算发现“11·3”白格堰塞湖溃决洪水事件在奔子栏—石鼓段的地貌作用主要表现为洪水淹没区的岸坡塌岸和沉积物堆积,未发现明显的基岩侵蚀。沉积物主要由分选良好的具水平纹层的砂组成。受金沙江较低的河床比降影响,洪水产生的基底剪切应力较弱在27~142 N/m2,不能悬浮和搬运直径5 cm以上的砾石,也不能产生明显的磨蚀和冲(撞)击作用。在发生塌岸的部分段落,洪水沉积物中有砾石坠入,甚至会出现类似浊流沉积的层序。这些现象的发现对深入理解堰塞湖溃决洪水的复杂地貌过程和沉积特征有重要参考意义。  相似文献   
176.
根据2005—2017年卫星遥感反演的太湖蓝藻水华信息,利用区域气象观测数据分析各类气象因子对太湖蓝藻深水华形成的影响,结果表明:①在日平均气温为0~35℃区间内会出现蓝藻聚集现象,其中最适宜气温区间为15.1~35℃,该区间内累计出现蓝藻水华的面积占比达90%、出现大面积蓝藻水华占比达93%;②在卫星观测到蓝藻前6h,平均风速为0.2~4.8m/s区间内能观测到蓝藻水华,其中最适宜的平均风速区间为0.5~3.4m/s,该区间内蓝藻水华累计出现次数占比达94.7%,大面积蓝藻水华主要出现在平均风速2.0m/s的情况下,占比89%;③降水总体上呈负效应,但在观测到有大面积蓝藻水华的情况下,前24h有小雨(10mm)的情形与总降水次数之比达88%,说明小雨的适度扰动有利于形成大面积蓝藻水华;④日照充足有利于蓝藻生长,但并非蓝藻水华形成的必要条件。在此基础上建立的多元回归综合气象指数模型,拟合结果较好,通过了0.001的显著性检验。  相似文献   
177.
Abstract

Abstract MODerate-resolution Imaging Spectroradiometer (MODIS) is a new generation remote sensing (RS) sensor and its applications in hydrology and water resources have attracted much attention. To overcome the problems of slow response in flood disaster monitoring based on traditional RS techniques in China, the Flood Disaster Monitoring and Assessing System (FDMAS), based on MODIS and a Geographic Information System (GIS), was designed and applied to Dongting Lake, Hunan Province, China. The storage curve of Dongting Lake for 1995 was obtained using 1:10 000 topographic map data and then a relationship between water level at the Chenglingji hydrological station and lake area was derived. A new relationship between water level and lake area was obtained by processing MODIS images of Dongting Lake from April 2002 to April 2003 and the influence of lake area variation on water level was analysed with the 1996 flood data. It was found that the water level reduction reached 0.64 m for the 1996 flood if the original lake area curve was replaced with the area curve of 2002. This illustrates that the flood water level has been considerably reduced as a result of the increased area of Dongting Lake since the Chinese Central Government’s ?return land to lake? policy took effect in 1998.  相似文献   
178.
Y. Chebud  A. Melesse 《水文研究》2013,27(10):1475-1483
Lake Tana is the largest fresh water body situated in the north‐western highlands of Ethiopia. In addition to its ecological services, it serves for local transport, electric power generation, fishing, recreational purposes, and source of dry season irrigation water supply. Evidence shows that the lake has dried at least once at about 15,000–17,000 before present owing to a combination of high evaporation and low precipitation events. Past attempts to understand and simulate historical fluctuation of Lake Tana based on simplistic water balance approach of inflow, outflow, and storage have failed to capture well‐known events of drawdown and rise of the lake that have happened in the last 44 years. This study tested different stochastic methods of lake level and volume simulation for supporting Lake Tana operational planning decision support. Three stochastic methods (perturbations approach, Monte Carlo methods, and wavelet analysis) were employed for lake level and volume simulation, and the results were compared with the stage level measurements. Forty‐four years of daily, monthly, and mean annual lake level data have shown a Gaussian variation with goodness of fit at 0.01 significant levels of the Kolmogorov–Smirnov test. The stochastic simulations predicted the lake stage level of the 1972, 1984, and 2002/2003 historical droughts 99% of the time. The information content (frequency) of fluctuation of Lake Tana for various periods was resolved using Wigner's Time‐Frequency Decomposition method. The wavelet analysis agreed with the perturbations and Monte Carlo simulations resolving the time (1970s, 1980s, and 2000s) in which low frequency and high spectral power fluctuation has occurred. The Monte Carlo method has shown its superiority for risk analysis over perturbation and deterministic method whereas wavelet analysis reconstructed historical record of lake stage level at daily and monthly time scales. Copyright © 2012 John Wiley & Sons, Ltd.  相似文献   
179.
Two cores were recovered in the southeastern part of Lake Shkodra (Montenegro and Albania) and sampled for identification of tephra layers. The first core (SK13, 7.8 m long) was recovered from a water depth of 7 m, while the second core (SK19, 5.8 m long) was recovered close to the present‐day shoreline (water depth of 2 m). Magnetic susceptibility investigations show generally low values with some peaks that in some cases are related to tephra layers. Naked‐eye inspection of the cores allowed the identification of four tephra layers in core SK13 and five tephra layers in core SK19. Major element analyses on glass shards and mineral phases allowed correlation of the tephra layers between the two cores, and their attribution to six different Holocene explosive eruptions of southern Italy volcanoes. Two tephra layers have under‐saturated composition of glass shards (foiditic and phonolitic) and were correlated to the AD 472 and the Avellino (ca. 3.9 cal. ka BP) eruptions of Somma‐Vesuvius. One tephra layer has benmoreitic composition and was correlated to the FL eruption of Mount Etna (ca. 3.4 cal. ka BP). The other three tephra layers have trachytic composition and were correlated to Astroni (ca. 4.2 cal. ka BP), Agnano Monte Spina (ca. 4.5 cal. ka BP) and Agnano Pomici Principali (ca. 12.3 cal. ka BP) eruptions of Campi Flegrei. The ages of tephra layers are in broad agreement with eight 14C accelerator mass spectrometric measurements carried out on plant remains and charcoal from the lake sediments at different depths along the two cores. The recognition of distal tephra layers from Italian volcanoes allowed the physical link of the Holocene archive of Lake Shkodra to other archives located in the central Mediterranean area and the Balkans (i.e. Lake Ohrid). Five of the recognised tephra layers were recognised for the first time in the Balkans area, and this has relevance for volcanic hazard assessment and for ash dispersal forecasting in case of renewed explosive activity from some of the southern Italy volcanoes. Copyright © 2009 John Wiley & Sons, Ltd.  相似文献   
180.
《水文科学杂志》2013,58(4):808-824
Abstract

We report results of three field campaigns conducted at 39 stations. At each station, we measured reflectance spectra in situ and collected water samples for measuring chlorophyll a (CHL) and suspended solids (SS) concentrations in the laboratory. To identify the indicative bands and develop suitable estimation models for CHL (C CHL) and SS (C SS) concentrations in Taihu Lake, a spectral-feature method and a derivative method were applied. The following conclusions were drawn: (a) the critical C CHL and C SS probably causing their spectral variation are, respectively: 0, 10, 50 and 75 μg L?1, and 0, 10, 50 and 100 mg L?1; (b) the derivative method is better than the spectral-feature method for estimating C CHL and C SS; (c) the optimal variable for CHL is a reflectance second-order derivative at 501 nm or a reflectance first-order derivative at 698 nm; the optimal variable for SS can change when its concentration is low and the range is narrow; otherwise, the optimal variable is a reflectance first-order derivative at 878 nm; and (d) the CHL and SS have an effect on one another's retrieval. The C CHL estimation accuracy would benefit from narrowing the C SS range. With C CHL increasing and its range broadening, the corresponding C SS estimation accuracy decreases gradually.  相似文献   
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