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11.
基于敏感性-稳定性-响应3维要素构建指标体系,运用熵值法和ARIMA-BP组合预测模型研究中国人海经济系统环境适应性的演化及预警。结果表明:① 2001~2016年中国人海经济系统环境适应性呈稳定上升态势,总体集中于中警状态,期间经历了“人海环境系统比较优势阶段→耦合协调阶段→人海经济系统比较优势阶段”的双螺旋适应过程,预计2017~2020年再次进入相互契合的轻警状态;② 16 a间中国人海经济系统环境适应性波动存在上升期短-衰退期长现象,预计未来4 a人海经济系统环境适应性在经济下行和生态约束背景下的速率不容乐观;③ 权衡人海经济系统和人海环境系统的关系,追求总体效益最大化,延长适应性周期波动中扩张期活动,差别化和灵活性的适应行为是未来主要排警对策。 相似文献
12.
山东半岛南北两侧海域真核浮游生物群落特征及与环境因子的相关性分析 总被引:1,自引:0,他引:1
为了解山东半岛南北两侧的烟台崆峒岛(KTD)海域和日照东港(DG)海域真核浮游生物群落特征,采用高通量测序技术,以18S rDNA V4区为目标基因,对2017年10月至2018年7月两海域的真核浮游生物多样性进行了检测;同期测定两海域的环境因子(溶解氧、氨氮含量等10个理化指标),并与真核浮游生物丰富度做相关性分析。实验结果表明:通过高通量测序技术共鉴定出浮游生物455种,其中,KTD海域共检测出真核浮游生物36个门类424种;DG海域共检测出真核浮游生物34个门类365种。绿藻门(Chlorophyta)、硅藻门(Diatomea)是两海域浮游植物中整体丰度最高的门类。KTD海域,绿藻门各月丰度在3.0%—21.3%之间,其中2018年7月(K1807)最高,达到了21.3%;硅藻门各月丰度在2.0%—16.59%之间,其中2018年2月(K1802)最高,达到了16.59%。DG海域,绿藻门各月丰度在2.0%—12.3%之间,其中2017年11月份(D1711)最高,达到了12.3%;硅藻门各月丰度在2.0%—47.0%之间,其中1月(D1801)最高,达到了47.0%。占优势地位的浮游动物主要是节肢动物门类的物种,其每月丰度分别在6.0%—38.9%和7.6%—48.6%之间。环境因子相关性分析表明水温、DO、pH、硅酸盐、硝酸盐氮等环境因子为影响该海域浮游生物群落结构的主要因子。研究结果对了解双壳经济贝类养殖区饵料组成及其在时空的变化,对海岸带食物网、生态基础管理和海洋经济贝类养殖生产等方面提供数据支撑。 相似文献
13.
随着海洋生态系统模型的发展,生态变量增多,众多生物过程参数量值的确定成为制约生态环境模拟的瓶颈问题,生态系统结构区域性要求模型中的生态参数具有区域差异。为探究不同海区的关键参数及参数敏感度的空间差异,本研究在渤、黄海建立了ROMS-CoSiNE物理–生物耦合的高分辨率生态系统模型,并对13种生态参数的敏感度空间分布进行分析。结果表明:南黄海中部与渤海及近岸海域的敏感度差异较大。渤海敏感度最大的参数为决定光合速率的浮游植物P-I曲线初始斜率,其次为浮游动物捕食半饱和常数和浮游动物最大捕食率。而南黄海中部敏感度最大的参数为浮游动物最大捕食率,其次为浮游植物死亡率和浮游植物P-I曲线初始斜率。结合敏感度分布及浮游植物生物量收支得出,渤海水体透明度较南黄海偏低、浮游植物生长光限制较强,是引起浮游植物P-I曲线初始斜率敏感度在渤海高于黄海的主要原因。浮游动物最大捕食率及浮游植物死亡率的敏感度空间差异,受渤、黄海浮游植物生物量差异的影响,与生态系统中的高度非线性特征有关。 相似文献
14.
This study aimed to map water features using a Landsat image rather than traditional land cover. We involved the original bands, spectral indices and principal components (PCs) of a principal component analysis (PCA) as input data, and performed random forest (RF) and support vector machine (SVM) classification with water, saturated soil and non-water categories. The aim was to compare the efficiency of the results based on various input data. Original bands provided 93% overall accuracy (OA) and bands 4–5–7 were the most informative in this analysis. Except for MNDWI (modified normalized differenced water index, with 98% OA), the performance of all water indices was between 60 and 70% (OA). The PCA-based approach conducted on the original bands resulted in the most accurate identification of all classes (with only 1% error in the case of water bodies). We therefore show that both water bodies and saturated soils can be identified successfully using this approach. 相似文献
15.
This paper expounds the features of the buildings and analyzes the seismic disaster characteristics of the Jiuzhaigou M_S7. 0 earthquake in the area between Songpan and Jiuzhaigou. New buildings (especially the frame structure) had good anti-seismic performance,but brick-wood structures and brick-concrete structures sustained large amounts of damage in the earthquake. By computing the seismic damage index,we found that the seismic damage index of the frame structure was far less than that of civil structures and brick-wood structures. The seismic damage index of frame structures were all zero in the Ⅵ area,and increased rapidly with the increase of intensity,but the increasing range was reduced. We also discussed how to evaluate the intensity in areas where there was a lack of buildings or there was only one structure type,which can be referenced in future field work. 相似文献
16.
粤西海陵湾养殖区邻近海域大型底栖动物生态学特征 总被引:6,自引:5,他引:1
根据2014—2016年粤西海陵湾养殖区湾内和湾外邻近海域21°27′—21°38′N、111°42′—111°57′E 4个航次调查资料,对其大型底栖动物生态学特征进行了研究。结果表明,共鉴定大型底栖动物64种,春季种类最多为39种,秋季最低为17种。4季均以环节动物种类数最多,软体动物次之。不同季节间优势种有所差异,仅倍棘蛇尾Amphioplus sp.为周年优势种。春、夏、秋和冬季第一优势种分别为倍棘蛇尾、菲律宾蛤仔Ruditapes philippinarum、短吻铲荚螠Listriolobus brevirostris和平蛤蜊Mactra mera。平均丰度和生物量分别为213ind./m~2和15.4g/m~2,其中丰度以春季最高为248ind./m~2,夏季最低为167ind./m~2,而生物量则以秋季最高为28.0g/m~2,春季最低为2.4g/m~2;平面分布总体呈现湾外高于湾内的趋势。底栖动物Pielou均匀度和Shannon-Wiener多样性指数分别为0.95—1.00和1.56—4.07,其中时间分布规律明显,春季最高,秋季最低;空间上,两者无明显分布差异。群落结构时空差异显著,为沉积物类型、水深、底层无机氮和悬浮物以及捕食压力等因素共同影响的结果。 相似文献
17.
18.
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
19.
Long‐term sediment yield from a small catchment in southern Brazil affected by land use and soil management changes 下载免费PDF全文
Jean P.G. Minella Gustavo H. Merten Claúdia A.P. Barros Rafael Ramon Alexandre Schlesner Robin T. Clarke Michele Moro Leandro Dalbianco 《水文研究》2018,32(2):200-211
Sediments produced from eroding cultivated land can cause on‐site and off‐site effects that cause considerable economic and social impacts. Despite the importance of soil conservation practices (SCP) for the control of soil erosion and improvements in soil hydrological functions, limited information is available regarding the effects of SCP on sediment yield (SY) at the catchment scale. This study aimed to investigate the long‐term relationships between SY and land use, soil management, and rainfall in a small catchment. To determine the effects of anthropogenic and climatic factors on SY, rainfall, streamflow, and suspended sediment concentration were monitored at 10‐min intervals for 14 years (2002–2016), and the land use and soil management changes were surveyed annually. Using a statistical procedure to separate the SY effects of climate, land use, and soil management, we observed pronounced temporal effects of land use and soil management changes on SY. During the first 2 years (2002–2004), the land was predominantly cultivated with tobacco under a traditional tillage system (no cover crops and ploughed soil) using animal traction. In that period, the SY reached approximately 400 t·km?2·year?1. From 2005 to 2009, a soil conservation programme introduced conservation tillage and winter cover crops in the catchment area, which lowered the SY to 50 t·km?2·year?1. In the final period (2010–2016), the SCP were partially abandoned by farmers, and reforested areas increased, resulting in an SY of 150 t·km?2·year?1. This study also discusses the factors associated with the failure to continue using SCP, including structural support and farmer attitudes. 相似文献
20.
Assessment of alternative adsorption models and global sensitivity analysis to characterize hexavalent chromium loss from soil to surface runoff 下载免费PDF全文
We investigate our ability to assess transfer of hexavalent chromium, Cr(VI), from the soil to surface runoff by considering the effect of coupling diverse adsorption models with a two‐layer solute transfer model. Our analyses are grounded on a set of two experiments associated with soils characterized by diverse particle size distributions. Our study is motivated by the observation that Cr(VI) is receiving much attention for the assessment of environmental risks due to its high solubility, mobility, and toxicological significance. Adsorption of Cr(VI) is considered to be at equilibrium in the mixing layer under our experimental conditions. Four adsorption models, that is, the Langmuir, Freundlich, Temkin, and linear models, constitute our set of alternative (competing) mathematical formulations. Experimental results reveal that the soil samples characterized by the finest grain sizes are associated with the highest release of Cr(VI) to runoff. We compare the relative abilities of the four models to interpret experimental results through maximum likelihood model calibration and four model identification criteria (i.e., the Akaike information criteria [AIC and AICC] and the Bayesian and Kashyap information criteria). Our study results enable us to rank the tested models on the basis of a set of posterior weights assigned to each of them. A classical variance‐based global sensitivity analysis is then performed to assess the relative importance of the uncertain parameters associated with each of the models considered, within subregions of the parameter space. In this context, the modelling strategy resulting from coupling the Langmuir isotherm with a two‐layer solute transfer model is then evaluated as the most skilful for the overall interpretation of both sets of experiments. Our results document that (a) the depth of the mixing layer is the most influential factor for all models tested, with the exception of the Freundlich isotherm, and (b) the total sensitivity of the adsorption parameters varies in time, with a trend to increase as time progresses for all of the models. These results suggest that adsorption has a significant effect on the uncertainty associated with the release of Cr(VI) from the soil to the surface runoff component. 相似文献