基于地学信息图谱的河道、海岸线演变对黄河三角洲景观格局影响研究   总被引：1，自引：0，他引：1  

李丹  王庆  徐洋  战超  刘现彬  王龙升  崔步礼  于祥  孙晓  王秋贤 《海洋与湖沼》2018,49(6):1220-1229

本文利用1988、1998、2009和2016年四期遥感影像,运用GIS技术,将地学信息图谱的图形思维与景观生态学的定量思维相结合,以距今不同时期的亚三角洲和滨海湿地为研究区,从景观结构和景观演替两个方面探究黄河三角洲河道、海岸线演变对景观格局的影响。结果表明:(1)距今不同时间的河道对黄河三角洲景观结构的影响程度不同,距今时间越长的亚三角洲研究区内耕地占总面积的比例越大且耕地是亚三角洲研究区中的第一优势景观类型。在1855—1889亚三角洲研究区内,除耕地和建筑用地外,其他各类景观占总面积的比例都较小且随时间变化不明显;在1929—1934亚三角洲研究区内,盐田、养殖池占总面积的比例从2009年到2016年增加了近40%,涨幅明显;在1964—1976亚三角洲研究区内,各类景观占总面积的比例趋于平均;在2017至今的亚三角洲研究区内,耕地和光滩占总面积的比例较高,达到24%左右。(2)距今不同时间的海岸线对黄河三角洲景观结构的影响程度也不同,在1855滨海湿地研究区内,耕地占总面积比例为60%左右,而海域占总面积比例接近于0,极差较大;在1934和1974滨海湿地研究区内,光滩、柽柳、碱蓬群落、芦苇、白茅群落占总面积比例随时间变化几乎呈逐渐下降趋势,而建筑用地和盐田、养殖池则呈逐渐上升趋势;2009滨海湿地研究区,河流、人工水域占总面积比例在2009年和2016年均达到32%以上。(3)根据景观类型重心变化特征,分析河道、海岸线演变对景观演替的影响程度,将不同时期亚三角洲和滨海湿地研究区景观演替分为如下几类:亚三角洲人类活动主导型、废弃河道主导型、行水河道主导型、滨海湿地人类活动主导型、废弃海岸主导型、新海岸主导型。  相似文献   

A Pilot‐Scale Diatomite Membrane Bioreactor for Slightly Polluted Surface Water Treatment          下载免费PDF全文

Wen Sun  Cuimei Li  Bingzhi Dong  Huaqiang Chu 《洁净——土壤、空气、水》2018,46(9)

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2016年夏季南海海盆水体颗粒物粒径分布特征*     

郑文迪  周雯  曹文熙  王桂芬  邓霖  徐文龙  许占堂  李彩  蔡建南 《热带海洋学报》2018,37(5):74-85

颗粒物粒径分布(Particle Size Distribution, PSD)代表了颗粒物浓度与颗粒物粒径之间的关系, 影响着海洋生态环境和水体光学特性等。文章基于2016年夏季航次调查的生物光学剖面数据, 研究了南海海盆海域PSD的分布特征。研究发现, 幂律函数可以较好地拟合南海海盆区域的PSD, 对数空间中的实测的PSD与模拟的PSD平均决定系数高达0.95。PSD斜率(ξ)的分布范围为[1.27, 7.65], 均值为3.93±0.56。南海海盆区域表层水体的ξ均值与全球大洋表层水体的ξ均值相近, 但高于海湾等表层水体的ξ均值。ξ能较好地表征颗粒物平均粒径D_A的大小, 两者存在明显负相关关系, 即ξ值越高, D_A越小; 反之, D_A越大。通过分析T1断面的生物光学剖面数据及总体平均的PSD剖面数据, 发现PSD剖面分布特征如下: 1)表层水体的ξ值相对较高, 且D_A值相对较低, 推测可能是由于微微型藻类为主导颗粒物所致; 2) ξ值极小值层出现在次表层叶绿素浓度极大值层(Subsurface Chlorophyll Maximum Layer, SCML)中, 并伴随D_A极大值层的出现, 其原因可能是SCML中的大粒径浮游植物占比显著增加; 3)弱光层中的ξ值较SCML中的高, 但略低于表层的ξ值, 而D_A则位于表层与SCML的D_A之间, 这可能与浮游植物及其碎屑的絮凝、分解、沉降等过程相关。PSD特征影响着海水的固有光学特性, 分析发现: 由于SCML中的叶绿素浓度增加, 颗粒物散射系数(b_p(532))和颗粒物后向散射系数(b_bp(532))也相应呈现显著增加的趋势。弱光层中的平均b_p(532)与平均b_bp(532)最小。ξ与颗粒物衰减光谱斜率之间呈高分散性, Boss 等(2001b)的模型适合用于粗略估算区域性的ξ分布范围及均值。  相似文献   

成武县土地利用时空变化与水系因子的关系研究          下载免费PDF全文

徐增江 《山东国土资源》2018,34(3)

成武县位于鲁西南黄河冲积平原区,水系发达,地表水资源丰富。为了分析地表水系对成武县土地利用时空变化和空间格局的影响,该文基于不同时期的遥感影像,结合实地调查和专家意见,提取区域土地利用现状图;运用DEM地表水文分析提取河流汇流累积量、水流长度、河流网络等,根据流量选取了河网。以河流为中心向两侧作缓冲区,与土地利用现状图进行空间分析,得到不同距离缓冲区内的土地利用结构。与全区域土地利用结构对比,分析不同时期在相同的缓冲区域内土地利用特征和变化,总结土地结构变化规律,结合100m,200m,300m,400m,500m,750m,1000m不同的缓冲区;通过对比各种土地利用类型在不同距离缓冲区的时空变化,从而分析水系因子对不同土地类型时空变化的影响。结果表明,不同距离缓冲区内土地利用结构不同,随着缓冲区范围的增加,耕地、建设用地、林地、园地呈现不同的变化趋势与特点,水系因子对成武县不同土地利用方式影响程度不同,水系因素对成武县土地利用空间分异有明显影响。  相似文献   

基态位涡径向分布对浅水涡旋系统演变的影响分析Part Ⅱ:扰动发展和结构变化          下载免费PDF全文

刘爽  钟玮  刘宇迪 《地球物理学报》2018,61(9):3592-3606

本文在基态位涡（Potential Vorticity，PV）径向分布和基态涡旋强度对热带气旋（Tropical Cyclone，TC）类涡旋系统稳定性特征影响的研究基础上，结合理想试验和数值模拟诊断分析基态PV径向分布对扰动增长和系统结构变化的影响.基于线性正压浅水模型，设计三种典型基态PV中空结构下基态涡旋强度对系统稳定性影响的敏感性试验.结果表明：基态涡旋的强度主要影响稳定性的强弱，强度越强，不稳定增长率越大，而基态PV径向分布对系统最不稳定波动性质起着决定作用.分析不同波数下扰动的发展及不同波数间扰动的相互作用可知，对于宽且实的PV环，系统稳定性主要取决于低波数不稳定，且最不稳定波数扰动的发展具有明显的优势地位；对于窄且空的PV环，系统稳定性主要取决于高波数不稳定，且多个高波数下增长最快模态的不稳定增长率值十分接近.利用模态线性叠加法讨论扰动增长对系统结构变化的影响表明：最不稳定波数的扰动发展对系统结构变化有关键影响，而多个波数的扰动不稳定增长相当时，不同波数的扰动发生相互作用从而影响系统结构变化.最后，利用实际个例模拟资料分析基态PV径向分布及其变化对TC结构和强度的影响表明：TC内核区出现的多边形眼墙结构与当前时刻基态PV径向分布所决定的最不稳定波数有很好的对应关系，同时基态PV径向分布变化所反映出的系统动力稳定性强弱与TC强度发展阶段具有很好的相关性.  相似文献   

Analytical and empirical models for predicting the drift capacity of modern unreinforced masonry walls     

Bastian Valentin Wilding  Katrin Beyer 《地震工程与结构动力学》2018,47(10):2012-2031

Displacement‐based seismic assessment of buildings containing unreinforced masonry (URM) walls requires as input, among others, estimates of the in‐plane drift capacity at the considered limit states. Current codes assess the drift capacity of URM walls by means of empirical models with most codes relating the drift capacity to the failure mode and wall slenderness. Comparisons with experimental results show that such relationships result in large scatter and usually do not provide satisfactory predictions. The objective of this paper is to determine trends in drift capacities of modern URM walls from 61 experimental tests and to investigate whether analytical models could lead to more reliable estimates of the displacement capacity than the currently used empirical models. A recently developed analytical model for the prediction of the ultimate drift capacity for both shear and flexure controlled URM walls is introduced and simplified into an equation that is suitable for code implementation. The approach follows the idea of plastic hinge models for reinforced concrete or steel structures. It explicitly considers the influence of crushing due to flexural or shear failure in URM walls and takes into account the effect of kinematic and static boundary conditions on the drift capacity. Finally, the performance of the analytical model is benchmarked against the test data and other empirical formulations. It shows that it yields significantly better estimates than empirical models in current codes. The paper concludes with an investigation of the sensitivity of the ultimate drift capacity to the wall geometry, static, and kinematic boundary conditions.  相似文献   

Modelling soil moisture in a high‐latitude landscape using LiDAR and soil data          下载免费PDF全文

Julia Kemppinen  Pekka Niittynen  Henri Riihimäki  Miska Luoto 《地球表面变化过程与地形》2018,43(5):1019-1031

Soil moisture has a pronounced effect on earth surface processes. Global soil moisture is strongly driven by climate, whereas at finer scales, the role of non‐climatic drivers becomes more important. We provide insights into the significance of soil and land surface properties in landscape‐scale soil moisture variation by utilizing high‐resolution light detection and ranging (LiDAR) data and extensive field investigations. The data consist of 1200 study plots located in a high‐latitude landscape of mountain tundra in north‐western Finland. We measured the plots three times during growing season 2016 with a hand‐held time‐domain reflectometry sensor. To model soil moisture and its temporal variation, we used four statistical modelling methods: generalized linear models, generalized additive models, boosted regression trees, and random forests. The model fit of the soil moisture models were R² = 0.60 and root mean square error (RMSE) 8.04 VWC% on average, while the temporal variation models showed a lower fit of R² = 0.25 and RMSE 13.11 CV%. The predictive performances for the former were R² = 0.47 and RMSE 9.34 VWC%, and for the latter R² = 0.01 and RMSE 15.29 CV%. Results were similar across the modelling methods, demonstrating a consistent pattern. Soil moisture and its temporal variation showed strong heterogeneity over short distances; therefore, soil moisture modelling benefits from high‐resolution predictors, such as LiDAR based variables. In the soil moisture models, the strongest predictor was SAGA (System for Automated Geoscientific Analyses) wetness index (SWI), based on a 1 m² digital terrain model derived from LiDAR data, which outperformed soil predictors. Thus, our study supports the use of LiDAR based SWI in explaining fine‐scale soil moisture variation. In the temporal variation models, the strongest predictor was the field‐quantified organic layer depth variable. Our results show that spatial soil moisture predictions can be based on soil and land surface properties, yet the temporal models require further investigation. Copyright © 2017 John Wiley & Sons, Ltd.  相似文献   

填充墙刚度影响的实测高层建筑增量动力分析          下载免费PDF全文

周云  裴熠麟  周祎  方亮  易伟建 《地震工程学报》2018,40(5):883-890

高层结构中的填充墙在地震作用下与周围结构构件之间的相互作用十分复杂,对建筑结构的整体抗震性能具有较大影响。然而我国规范在设计阶段通常不考虑填充墙对结构抗震性能的影响,统一采用周期折减系数来考虑其刚度变化引起的内力变化,因此准确评估填充墙对结构抗震性能的影响具有重要意义。本文在对一栋框-剪结构和一栋剪力墙高层建筑进行随机振动测试的基础上,利用Perform-3D对每栋高层分别建立了3种分析模型。其中对未考虑填充墙作用的结构模型,分别采取规范建议值和实测结果值两种方式进行周期折减。对通过添加斜撑单元来考虑填充墙作用的结构模型,利用环境激励测试识别获得的结构模态信息进行模型修正。对该3种模型进行了增量动力分析,探讨潜在危险性水平地震作用下填充墙对高层建筑抗震性能的影响。结果表明,填充墙增加了结构在弹性阶段的整体初始刚度,但随着地震动强度的增加逐渐丧失对结构刚度的贡献作用。相比考虑了填充墙作用的模型计算结果,规范建议的周期折减系数较为保守。同时研究发现,填充墙对高层框-剪结构的影响程度要比剪力墙结构大。  相似文献   

Assessment of soil erosion in a monsoon-dominated mountain river basin in India using RUSLE-SDR and AHP   总被引：1，自引：1，他引：0  

Jobin Thomas  Sabu Joseph  K. P. Thrivikramji 《水文科学杂志》2018,63(4):542-560

The long-term average annual soil loss (A) and sediment yield (SY) in a tropical monsoon-dominated river basin in the southern Western Ghats, India (Muthirapuzha River Basin, MRB; area: 271.75 km²), were predicted by coupling the Revised Universal Soil Loss Equation (RUSLE) and sediment delivery ratio (SDR) models. Moreover, the study also delineated soil erosion risk zones based on the soil erosion potential index (SEPI) using the analytic hierarchy process (AHP) technique. Mean A of the basin is 14.36 t ha^?1 year^?1, while mean SY is only 3.65 t ha^?1 year^?1. Although the land use/land cover types with human interference show relatively lower A compared to natural vegetation, their higher SDR values reflect the significance of anthropogenic activities in accelerated soil erosion. The soil erosion risk in the MRB is strongly controlled by slope, land use/land cover and relative relief, compared to geomorphology, drainage density, stream frequency and lineament frequency.  相似文献   

Insights into agricultural influences and weathering processes from major ion patterns          下载免费PDF全文

Robert van Geldern  Peter Schulte  Michael Mader  Alfons Baier  Johannes A.C. Barth  Tobias R. Juhlke  Kern Lee 《水文研究》2018,32(7):891-903

Karst areas and their catchments pose a great challenge for protection because fast conduit flow results in low natural attenuation of anthropogenic contaminants. Studies of the hydrochemistry of karst sources and river solutes are an important tool for securing and managing water resources. A study of the geochemical downriver evolution of the Wiesent River and its tributaries, located in a typical karst terrain, revealed unexpected downstream decreases of nitrate with maximum mean values of 30 mg/L at the source to minimum values of 18 mg/L near the river mouth. This trend persisted over the length of the river even though increased agricultural activities are evident in the downstream section of the catchment. This pattern is caused by fertilizer inputs via diffusive and fast conduits flow from karst lithology in the upstream area that may have reached the river's source even from beyond the hydrological catchment boundaries. Further downstream, these influences became diluted by tributary inputs that drain subcatchments dominated by claystone and sandstone lithologies that increased potassium and sulphate concentrations. Our findings indicate that bedrock geology remains the dominant control on the major ion chemistry of the Wiesent River and that agricultural influences are strongest near the headwaters despite increased land use further downstream, due to long‐term storage and accumulation in karst aquifers. This feature may not be unique to the Wiesent River system, as carbonates cover significant portions of the Earth's surface and subsequent work in other river systems could establish whether such patterns are ubiquitous worldwide.  相似文献