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1.
European nase (Chondrostoma nasus) is a specialist riverine fish, characterised by a complex life cycle making it vulnerable to habitat degradation. Recent findings indicate that, analogously to salmonids, the interstitial zone quality may pose a serious bottleneck for successful recruitment of this species. In this study, nase eggs were exposed to different substrate qualities. First, standardised substrate mixtures with differing fine sediment additions were used. Second, we tested different homogenous gravel fractions for their influence on egg development and emergence success. In both setups, substrate composition significantly affected emergence success, timing of emergence and larvae size at emergence. In the substrate mixtures, emergence was most successful in substratum with no fine sediment addition (98%) and decreased to 55% in substratum with 20% fine sediment addition. Emergence was most successful in the coarsest fraction (93%) and decreased to 47% in the finest fraction. Over all treatments, the time between hatching and emergence from substrate differed by up to 156 degree days, thereby indicating that free embryos of nase use the shelter of the interstitial zone for early ontogeny. These results suggest that a loose and porous stream bed can positively contribute to the development success of eggs and larvae and thereby potentially improve the recruitment of nase populations. It is thus important to consider the substrate and interstitial conditions in the conservation and restoration management of this rheophilic cyprinid.  相似文献   
2.
Soil loss from riparian areas supporting the annual invasive weed, Impatiens glandulifera (Himalayan balsam), was measured and compared with equivalent values recorded at nearby, topographically similar areas supporting perennial vegetation over a cumulative seven-year period, along sections of two separate river systems; one in Switzerland, and one in the UK. Soil loss from colonised locations was significantly greater than from reference locations in four of the seven measurement periods. Despite contrasting results, standard deviations, based on soil losses and gains, were predominantly higher for colonised areas at both rivers over most monitoring periods. These findings indicated that areas colonised by Himalayan balsam experience higher sediment flux in comparison with areas free of invasion. Here, we test those original interpretations by reinterrogating the datasets using a more robust analysis of inequality. Nine datasets were tested, five of which (i.e. 56%) showed that sediment flux was significantly greater at Himalayan balsam-invaded areas than at reference areas. Three datasets showed no difference in sediment flux between invaded and reference areas (33%), and one (11%) showed higher sediment flux at reference areas. Most results uphold our original interpretations and support our hypothesis that hydrochory probably dictates where colonisation initially occurs, by depositing Himalayan balsam seeds in slack or depressional areas along river margins. Once Himalayan balsam becomes established and sufficient perennial vegetation is displaced, seasonal die-off and depleted vegetation cover may increase the risk that some areas will experience significantly higher sediment flux.  相似文献   
3.
根据2012—2013年福建省闽江流域富屯溪、建溪和沙溪等支流以及干流7个站位表层沉积物调查数据,对硫化物(AVS)、有机碳及重金属(SEM)等物质进行了研究。结果表明,各站位硫化物两年平均含量在0.461 0~1.814 0μmol·g~(-1)之间,有机碳平均含量在0.76%~1.51%之间,尤溪S5站位硫化物含量明显高于其他站位,与此对应有机碳含量也较高,这与沿岸人类活动的强度有关;闽江干流S7站位硫化物含量最低,主要受水动力特征影响。各站位沉积物重金属(Cu、Pb、Cd、Hg和As)含量基本呈现CuPbAsHgCd的趋势,其中Cu和Pb是主要污染重金属。SEM平均含量在0.47~3.58μmol·g~(-1)之间,金溪S2、古田溪S6站位SEM/AVS(摩尔比值)小于1,重金属潜在生态危害风险较小;其他站位SEM/AVS大于1,生物有效性高,具有潜在的毒性效应。与水体沉积物中金属元素对底栖生物产生毒性效应的阈值比较,单个重金属中Pb和Cd可能产生的生物有效性高于Cu,具有对底栖生物产生毒性效应的潜力。  相似文献   
4.
近年,沿海各地区水产养殖业发展迅速。由于内湾海区海水循环交换能力较弱,黑臭底泥的长期堆积,导致养殖水体水质和底质进一步恶化,然而这种问题普遍存在于封闭式或半封闭式水域环境中。对此,氢氧化镁作为水质、底质改良剂被应用于水环境的治理。本文概述了氢氧化镁的作用机理,包括氢氧化镁与悬浮颗粒物的静电、对氮磷的降解及对硫化氢的降解等作用;同时介绍了氢氧化镁在海水养殖场、淡水湖泊和水库、水华防控、赤潮防控及废水处理中的研究与应用;展望了氢氧化镁和纳米级氢氧化镁在水体环境领域的应用前景。  相似文献   
5.
The breakdown of soil aggregates under rainfall and their abrasion in overland flow are important processes in water erosion due to the production of more fine and transportable particles and, the subsequent significant effect on the erosion intensity. Currently, little is known about the effects of sediment load on the soil aggregate abrasion and the relationship of this abrasion with some related hydraulic parameters. Here, the potential effects of sediment load on soil aggregate abrasion and hydraulic parameters in overland flow were investigated through a series of experiments in a 3.8-m-long hydraulic flume at the slope gradients of 8.7 and 26.8%, unit flow discharges from 2×10~(–3) to 6×10~(–3) m~2 s~(-1), and the sediment concentration from 0 to 110 kg m~(–3). All the aggregates from Ultisols developed Quaternary red clay, Central China. The results indicated that discharge had the most significant(P0.01) effect on the aggregates abrasion with the contributions of 58.76 and 60.34%, followed by sediment feed rate, with contributions of 39.66 and 34.12% at the slope gradients of 8.7 and 26.8%, respectively. The abrasion degree of aggregates was found to increase as a power function of the sediment concentration. Meanwhile, the flow depth, friction factor, and shear stress increased as a power function along with the increase of sediment concentration at different slope gradients and discharges. Reynolds number was obviously affected by sediment concentration and it decreased as sediment concentration increased. The ratio of the residual weight to the initial weight of soil aggregates(Wr/Wi) was found to increase as the linear function with an increasing flow depth(P=0.008) or Reynolds number(P=0.002) in the sediment-laden flow. The Wr/Wi values followed a power function decrease with increasing friction factor or shear stress in the sediment-laden flow, indicating that friction factor is the best hydraulic parameter for prediction of soil aggregate abrasion under different sediment load conditions. The information regarding the soil aggregate abrasion under various sediment load conditions can facilitate soil process-based erosion modeling.  相似文献   
6.
利用常规资料、多普勒雷达及自动站等资料,对秦巴山区一次致灾冰雹过程综合分析。结果表明,此次强对流天气是在高空前倾槽东移过程中产生的,中低层切变线为对流的发生提供了动力条件,地面辐合线是此次强冰雹天气的触发机制;适宜的0℃和-20℃层高度、地面暖低压和特殊的“喇叭口”地形等有利于强冰雹天气的发生;冰雹发生在低空急流左前方、高空急流出口区的左侧和地面辐合线附近。较强不稳定层结和垂直风切变是导致对流快速发展并维持的原因之一;多普勒雷达反射率因子图上对流单体中心强度大于68 dBZ且维持5个体扫,有超级单体生成;反射率因子剖面图上有有界弱回波、回波悬垂等出现;速度图上具有低层辐合和中气旋等特征;在反射率因子和速度图上均可看到三体散射;VIL跃增和骤降的时间与冰雹发生的时间相对应。  相似文献   
7.
黄土高原植被恢复过程中土壤表面电化学性质演变特征   总被引:6,自引:1,他引:5  
土壤胶体表面所带电荷是土壤具有一系列物理、化学性质的根本原因。表面电荷数量、比表面积、表面电荷密度、表面电场强度以及表面电位是土壤胶体颗粒重要性质,影响土壤中物理、化学、生物化学过程。运用带电颗粒表面性质联合分析法,测定黄土高原子午岭地区不同植被类型下土壤表面电荷性质,研究自然植被恢复过程对土壤表面电荷性质的影响。结果表明:随着植被的演替,子午岭林区土壤表面电荷数量、比表面积、表面电荷密度均随植被的恢复增加,变化范围分别为10.88~19.85 cmol·kg~(–1)、40.67~61.71 m~2·g~(–1)和0.22~0.31 c·m~(–2),平均值分别为16.18 cmol·kg~(–1)、54.88 m2·g~(–1)和0.28 c·m~(–2),土壤表面电场强度达108 V·m~(–1)数量级;土壤黏粒、有机碳含量是影响表面电荷性质的主要因素,解释率分别为62.5%和27.9%;土壤基本性质对表面电荷性质的影响由强到弱依次为:黏粒、有机碳、砂粒、全氮、C/N、粉粒、碳酸钙、pH。研究结果对于进一步认识黄土高原土壤颗粒表面性质,加深理解土壤中发生的一系列物理化学过程具有重要意义。  相似文献   
8.
基于不同分析方法研究磷酸根在矿物表面吸附机制的进展   总被引:3,自引:1,他引:2  
磷素是植物生长必需的营养元素,也是联系生态系统中生物与非生物作用的关键元素。对磷酸根在矿物表面吸附反应机制的深入认识,有助于了解其在陆地和水环境中的形态、迁移、转化和生物有效性。本文主要综述了磷酸根在常见(土壤)矿物表面吸附机制的研究进展。各种分析技术或方法,如OH–释放量分析、Zeta电位分析(电泳迁移率测试)、等温滴定量热法、原子力显微镜、X射线光电子能谱、红外光谱、核磁共振波谱、X射线吸收光谱、表面络合模型、量子化学计算等,均以不同方式揭示磷酸根在不同矿物体系的吸附机制。磷酸根在矿物(尤其是铁、铝氧化物)表面的吸附通常伴随着水基和羟基的交换。一般认为磷酸根在矿物表面主要形成双齿双核、单齿单核内圈络合物,且受pH的影响较大。pH以及磷酸根在矿物表面的吸附密度影响内圈络合物的质子化状态。在低pH、高磷浓度、较高反应温度、较长吸附时间,以及弱晶质矿物吸附等条件下矿物表面吸附的磷可在矿物表面转化形成含磷的表面沉淀,造成矿物溶解转化以及磷生物有效性的进一步降低。最后展望了磷酸盐在矿物-水界面吸附有关的研究热点和方向。  相似文献   
9.
黄河未来输沙量态势及其适用性对策   总被引:3,自引:1,他引:2  
[目的] 探索黄河输沙预测的新思路,预估黄河未来输沙态势与输沙量水平,为黄河流域生态治理规划提供参考。[方法] 结合黄河流域水土保持生态修复现状,采用单累积曲线法、滑动平均及频率分析方法,分析1950—2019年黄河主要来沙区间的实测输沙量变化特征及其未来态势。[结果] 1950—2019年黄河输沙量呈现阶梯式减少。1950—2019年黄河中游各站累积实测输沙量随时间的变化可用“左半抛物线”表征。黄河输沙量自1997年以来已进入相对稳定态势,目前已达企稳状态;黄河潼关站未来年输沙量在90%频率下为1.00×108 t左右,在10%频率下为5.00×108 t左右,未来多年平均输沙量为1.40×108 t。[结论] 为了维持黄河输沙量低稳状态,提升水土保持措施质量与标准,补齐“后水土保持”短板,构建完善的水沙关系调控体系,维持黄河下游河道冲淤平衡,是黄河流域生态保护与高质量发展的保障。  相似文献   
10.
基于迁移学习的棉花叶部病虫害图像识别   总被引:15,自引:10,他引:5  
针对传统图像识别方法准确率低、手工提取特征等问题,该研究以棉花叶部病虫害图像为研究对象,利用迁移学习算法并辅以数据增强技术,实现棉花叶部病虫害图像准确分类。首先改进AlexNet模型,利用PlantVillage大数据集训练取得预训练模型,在预训练模型上使用棉花病虫害数据微调参数,得到平均测试准确率为93.50%;然后使用数据增强技术扩充原始数据集,在预训练模型上再训练,得到最终平均测试准确率为97.16%。相同试验条件下,该研究方法较支持向量机(Support Vector Machine,SVM)和BP(Back Propagation,BP)神经网络以及深度卷积模型(VGG-19和GoogLeNet Inception v2)分类效果更好。试验结果表明,通过迁移学习能把从源领域(PlantVillage数据集)学习到的知识迁移到目标领域(棉花病虫害数据集),数据增强技术能有效缓解过拟合。该研究为农作物病虫害识别技术的发展提供了参考。  相似文献   
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