阜阳市浅层地下水总硬度近年变化特征     

赵晓玲  朱玲玲 《地下水》2020,(1):46-47,146

阜阳是安徽省人口最多的市,工农业生产主要取用地下水,总硬度是该市浅层地下水主要超标组分之一。近5年来,该市浅层地下水总硬度平均值呈现缓慢增高的趋势,标准差亦在缓慢增加,近两年总硬度数值间差异明显增大。利用spss软件,分析近年浅层地下水的pH、TDS、总碱度、氯化物与总硬度的相关关系,结果可知:pH、TDS、总碱度、氯化物与总硬度都存在极显著的线性相关关系,其中,仅有pH与总硬度是负相关,其余均为正相关关系,总碱度与总硬度为低度线性相关,TDS、氯化物与总硬度呈中度线性相关。结合阜阳市浅层地下水的埋藏条件、补给来源、监测井的地理位置和地下水开采历史,得出该市浅层地下水总硬度升高主要与人为污染和地下水超采有关,外来的污染物来源主要是农业污染和生活污染。  相似文献   

新矿物与新矿物研究创新探索     

李国武 《地学前缘》2020,27(5):1-9

作为矿物学的重要基础研究方向之一,新矿物的发现及其晶体结构、晶体化学的研究始终备受各发达国家的一贯重视。新矿物的研究和发现及其成果具有国际性,在一定程度上反映了国家在该领域以及整体科技水平和对科学发现的贡献。笔者近年来参与了对若干存疑矿物进行的精细晶体结构与晶体化学研究和矿物学研究,从2005年至今参与发现的23种新矿物均获得国际矿物学协会新矿物及分类命名委员会(IMA-CNMNC)所批准。这些新矿物的获批得益于成功地获取了成分数据、衍射数据和晶体结构的阐明。本文就新矿物的认定规则、申报内容和数据、分类命名、研究内容及工作方法等进行综述,在此抛砖引玉,希望通过交流促进我国新矿物研究领域的发展。  相似文献   

Inter- and intra-annual trend analysis of water level and flow in the middle and lower reaches of the Ganjiang River,China     

Di Zhu  Yue Ben  Xinfa Xu 《水文科学杂志》2020,65(12):2128-2141

ABSTRACT

The Ganjiang River is the largest tributary of Poyang Lake in China, and its hydrological regime variation greatly affects the utilization of regional water resources and the ecological environment of the lake. In this study, a novel trend analysis method, the Moving Average over Shifting Horizon (MASH), was applied to investigate the inter- and intra-annual trends of flow and water level from 1976 to 2016 at the Xiajiang and the Waizhou hydrological stations in the Ganjiang River. The Significant Change Rate Method (SCRM) was proposed to determine the MASH averaging parameters. The trend analysis results show a statistically significant decrease in water level series throughout the year and the relationship of flow and water level have changed greatly at the Waizhou station. The sediment load reduction, large-scale sand mining and water level decrease of Poyang Lake are identified as the main causes for the water level decrease.  相似文献   

Estimating the starting time and identifying the type of urbanization based on dense time series of landsat-derived Vegetation-Impervious-Soil (V-I-S) maps – A case study of North Taiwan from 1990 to 2015     

《International Journal of Applied Earth Observation and Geoinformation》2020

Land cover and land use change (LCLUC) is a global phenomenon, and LCLUC in urbanizing regions has substantial impacts on humans and their environments. In this paper, a semi-automatic approach to identifying the type and starting time of urbanization was developed and tested based on dense time series of Vegetation-Impervious-Soil (V-I-S) maps derived from Landsat surface reflectance imagery. The accuracy of modeled V-I-S fractions and the estimated time of initial change in impervious cover were assessed. North Taiwan, one of the regions of the island of Taiwan that experienced the greatest urban LCLUC, was chosen as a test area, and the study period is 1990 to 2015, a period of substantial urbanization. In total, 295 dates of Landsat imagery were used to create 295 V-I-S fraction maps that were used to construct fractional cover time series for each pixel. Root Mean Square Error (RMSE)s for the modeled Vegetation, Impervious, and Soil were 25 %, 22 %, 24 % respectively. The time of Urban Expansion is estimated by logistic regression applied to Impervious cover time series, while the time of change for Urban Renewal is determined by the period of brief Soil exposure. The identified location and estimated time for newly urbanized lands were generally accurate, with 80% of Urban Expansion estimated within ±2.4 years. However, the accuracy of identified Urban Renewal was relatively low. Our approach to identifying Urban Expansion with dense time series of Landsat imagery is shown to be reliable, while Urban Renewal identification is not.  相似文献   

基于 MODIS 数据的吐鲁番盆地 2001—2017 年 植被变化及水热组合影响分析          下载免费PDF全文

庞冉  王文 《干旱区地理》2020,43(5):1242-1252

中国西北干旱地区的气候变化及其对植被的影响一直备受关注。以地形特殊的吐鲁番盆 地为研究对象，利用实测气象站点数据、再分析气象格点数据以及 MODIS 卫星遥感植被指数，采用 趋势检验、线性回归、偏相关分析等方法，探究了该地区 2001—2017 年间的植被变化及其与水热组 合特征之间的关系。结果表明：（1）吐鲁番盆地降水量整体没有显著变化，但北部山区降水增长较 多，气温总体呈显著上升趋势，尤其是盆地底部中心区域增温较大。（2）全区域植被指数（NDVI）总 体呈极显著上升趋势，山区及中心区域 NDVI 增长率较大。（3）受水汽来源和日照时长的影响，吐鲁 番盆地周边山区高程 3 000 m 左右 NDVI 值最高，山区植被最好的坡向是西北坡。（4）吐鲁番盆地水 热组合复杂，水分条件是大部分地区植被生长的主要限制因素，降水与 NDVI 有较好的正相关，在 山区和荒漠区热量增加不利于植被生长，但中心区域受地下水和人类活动影响，水分的供给相对 稳定，热量增加利于植被生长。  相似文献   

The shape of the seismic response interaction diagram: The effect of combination rules in response spectrum analysis     

Manuel Ritto-Corrêa  Ana Rita Tomaz  Luís Guerreiro 《地震工程与结构动力学》2020,49(14):1428-1451

This paper deals with the construction of seismic response interaction diagrams that show the correlation of multiple responses and are important to determine the critical combination of modal responses. Many design problems, such as column design under combined axial force and bending moments, fall into this category. We address general modal and multicomponent combination rules and study their effect on the shape of the response interaction diagrams, thus extending previous work done for quadratic combination rules. Special attention is given to multilinear combination rules which lead to polyhedral shapes. Having developed efficient methods to deal with polyhedral shapes, we explore the idea of adopting a multilinear modal combination rule to compose with a multicomponent percentage rule.  相似文献   

Qualitative spatial reasoning on topological relations by combining the semantic web and constraint satisfaction     

Yandong Wang  Mengling Qiao  Hui Liu  Xinyue Ye 《地球空间信息科学学报》2018,21(2):80-92

  相似文献   

Dynamic land use change simulation using cellular automata with spatially nonstationary transition rules   总被引：2，自引：0，他引：2  

Yongjiu Feng  Xiaohua Tong 《地理信息系统科学与遥感》2018,55(5):678-698

The dynamic relationships between land use change and its driving forces vary spatially and can be identified by geographically weighted regression (GWR). We present a novel cellular automata (GWR-CA) model that incorporates GWR-derived spatially varying relationships to simulate land use change. Our GWR-CA model is characterized by spatially nonstationary transition rules that fully address local interactions in land use change. More importantly, each driving factor in our GWR model contains effects that both promote and resist land use change. We applied GWR-CA to simulate rapid land use change in Suzhou City on the Yangtze River Delta from 2000 to 2015. The GWR coefficients were visualized to highlight their spatial patterns and local variation, which are closely associated with their effects on land use change. The transition rules indicate low land conversion potential in the city’s center and outer suburbs, but higher land conversion potential in the inner near suburbs along the belt expressway. Residual statistics show that GWR fits the input data better than logistic regression (LR). Compared with an LR-based CA model, GWR-CA improves overall accuracy by 4.1% and captures 5.5% more urban growth, suggesting that GWR-CA may be superior in modeling land use change. Our results demonstrate that the GWR-CA model is effective in capturing spatially varying land transition rules to produce more realistic results, and is suitable for simulating land use change and urban expansion in rapidly urbanizing regions.  相似文献   

Adaptive capacity within tropical marine protected areas – Differences between men- and women-headed households     

《Global Environmental Change》2022

Households within tropical coastal communities face a multitude of stressors related to environmental, social and economic change. To minimise negative impacts on households, a priority is to understand and if possible build adaptive capacity to enable adjustment to both extant, and anticipated stressors. Adaptive capacity may not be equally distributed across households due to social differences and inequalities, including gender. In this study we sought to understand whether the factors underlying adaptive capacity differ between men- and women-headed households across three marine protected areas (MPAs) in Zanzibar, Tanzania. Adaptive capacity was significantly higher in men-headed households compared to women-headed households between different MPAs as a whole, however significant differences were not found for men and women-headed households within the MPAs. The factors underlying adaptive capacity were investigated through boosted regression trees, a relatively novel approach within the field, and found to be similar between men and women counterparts. These factors were agency, material conditions, low ecosystem dependence, education, occupational multiplicity and needs satisfaction (i.e. a poverty indicator) which was singularly important in women-headed households. While the factors themselves were similar in men and women–headed households, gendered differences were found regarding differing levels in the identified factors. Accordingly, the processes that underly the differences found should be addressed within initiatives seeking to understand and build adaptive capacity.  相似文献   

Everyday Adaptation: Theorizing climate change adaptation in daily life     

《Global Environmental Change》2022

Climate science to date demonstrates that natural and human systems must urgently adapt. Adaptation refers to changes in societies and ecological systems as they respond to both actual and anticipated impacts of the changing climate. While adaptation is not limited to the level of planning and policy, existing adaptation practice privileges institutional action. We argue that the definition of adaptation should be broadened to include the small, incremental changes made in our daily lives to accommodate the shifting ecologies in which we live. Drawing on critical adaptation research and our own ethnographic fieldwork in the Global South, we define everyday adaptation as the shifted ways a person works, eats, lives and thinks in response to climate realities, rather than the hardening of coastlines or the relocation of vulnerable structures. We integrate and build on existing scholarship on adaptation and the everyday to theorize the logics of everyday, hyperlocal adaptation. This hyperlocal scale is a critical component of any definition of adaptation and a useful lens for studying the way much of the global population adapts and will continue to adapt their lives to climate change. We offer two theoretical components of adaptation revealed by the everyday - adaptation labor and value adaptation – as lenses to see changes in everyday action. Through considering hyperlocal action, we then identify and explore four logics of everyday adaptation actions: lifestyle stability, socio-ecological reactivity, livelihood flexibility, and community capacity. Everyday adaptations are limited by individuals’ capacity to adapt and thereby determine the longevity, livability, and quality of life of places on the frontlines of climate change. We argue for understanding the aggregate effects of everyday adaptation in order to better align the actions of those living with climate change in their everyday lives and the large-scale adaptation projects aiming to protect them.  相似文献