Effects of Coastal Lighting on Foraging Behaviorof Beach Mice

Abstract:  Introduction of artificial light into wildlife habitat represents a rapidly expanding form of human encroachment, particularly in coastal systems. Light pollution alters the behavior of sea turtles during nesting; therefore, long-wavelength lights—low-pressure sodium vapor and bug lights—that minimize impacts on turtles are required for beach lighting in Florida (U.S.A.). We investigated the effects of these two kinds of lights on the foraging behavior of Santa Rosa beach mice (  Peromyscus polionotus leucocephalus ). We compared patch use and giving-up densities of mice for experimental food patches established along a gradient of artificial light in the field. Mice exploited fewer food patches near both types of artificial light than in areas with little light and harvested fewer seeds within patches near bug lights. Our results show that artificial light affects the behavior of terrestrial species in coastal areas and that light pollution deserves greater consideration in conservation planning.     

Stability of a Coal Waste Artificial Reef

The feasibility of using U.K. coal-fired power station waste materials for artificial reef production is being examined. in June, 1989, an experimental artificial reef was constructed in Poole Bay, off the central south coast of the U.K., using three different mixtures of pulverised fuel ash (PFA), flue gas desulphurisation (FGD) gypsum and slurry, stabilized with cement and formed into blocks. Fifty tonnes of 40 × 20 × 20 cm blocks were formed into eight conical reef units replicating three different PFA/gypsum mixtures and one concrete control. the reef structure is 10m below chart datum on a flat sandy sea-bed.

Combustion of coal concentrates the heavy metal content in the resultant ash. the purpose of stabilization of the ash as blocks is twofold: to immobilize heavy metals (or other components) and to provide hard substratum for the attachment of organisms. to examine the effectiveness of this stabilization and hence the environmental compatibility of the block materials, heavy metal (Cd, Cr, Cu, Pb, Mn, Ni, Zn) content of the blocks has been monitored routinely over two years, to determine leaching rates. Sectional profiles indicate partial replacement of calcium content by magnesium. Associated with this there has also been some redistribution of heavy metals. Only in the case of cadmium has there been a detectable loss from the surface of blocks. Chromium and manganese concentrations appear to have increased. the metal content of the reef epibiota (including ascidians, Ascidia mentula; hydroids, Halecium spp.; bryozoans, Bugula spp. and red algae) growing on the ash blocks has been compared to that of epibiota attached to the concrete controls and surrounding sea-bed. to date no evidence of excess bioaccumulation of metals has been detected.

The physical integrity of the ash reef blocks has been maintained. There is evidence that the blocks are increasing in compressive strength.

An indication of the fishery enhancement potential of the experimental structure is given by the presence of eight commercially fished species (crustaceans and molluscs) including lobsters (Homarus gammarus).     

人工神经网络模型和公路复垦土地适宜性评价

提出了人工神经网络用于公路临时用地复垦土地适宜性评价，利用该模型对京大高速公路山西段复垦山西段复垦土地进行了适宜性评价，探讨了人工神经网络在土地复垦适宜性评价时的特点和注意问题。     

BASIN SCALE WATER MANAGEMENT AND FORECASTING USING ARTIFICIAL NEURAL NETWORKS1

ABSTRACT: Water scarcity in the Sevier River Basin in south‐central Utah has led water managers to seek advanced techniques for identifying optimal forecasting and management measures. To more efficiently use the limited quantity of water in the basin, better methods for control and forecasting are imperative. Basin scale management requires advanced forecasts of the availability of water. Information about long term water availability is important for decision making in terms of how much land to plant and what crops to grow; advanced daily predictions of streamflows and hydraulic characteristics of irrigation canals are of importance for managing water delivery and reservoir releases; and hourly forecasts of flows in tributary streams to account for diurnal fluctuations are vital to more precisely meet the day‐to‐day expectations of downstream farmers. A priori streamflow information and exogenous climate data have been used to predict future streamflows and required reservoir releases at different timescales. Data on snow water equivalent, sea surface temperatures, temperature, total solar radiation, and precipitation are fused by applying artificial neural networks to enhance long term and real time basin scale water management information. This approach has not previously been used in water resources management at the basin‐scale and could be valuable to water users in semi‐arid areas to more efficiently utilize and manage scarce water resources.     

垂直潜流人工湿地堵塞微观概念模型的提出

根据垂直潜流人工湿地发生堵塞的成因主要是基质层中不可滤物质积累的结论,在分析垂直潜流人工湿地堵塞物形态及成分粒径的基础上,首次提出了基质间不可滤物质积累微观概念模型的假设;并根据微观概念模型,在考虑生物膜、无机物积累等动态变化因素条件下提出基质间完全堵塞所需时间、基质表面发生雍水所需时间及基质渗透系数随时间变化的关系.     

硫酸铵作为人工气溶胶模拟尘源的研究

硫酸盐、铵盐等水溶性无机盐粒子是大气气溶胶的重要组成部分,为进一步提高高效过滤器性能测试实验的精度,提出了过滤器测试标准要求外的新的人工尘气溶胶发生液（NH4）2SO4,并通过一系列实验,从相关性、粒谱分布、分散度等方面对其气溶胶粒子能否满足测试气溶胶的要求进行验证分析。实验结果表明,（NH4）2SO4和KCl间的相关系数R2为0.994 78,相关性很好;NaCl、KCl和（NH4）2SO4气溶胶的几何标准差分别为0.88、0.85和0.87,呈单分散且分散程度接近,可很好的满足测试气溶胶要求。还获得了可控参数喷气压力与发生溶液质量浓度对（NH4）2SO4气溶胶粒谱分布的影响规律：随喷气压力的增加,气溶胶粒子的粒径减小,分布集中;而随发生溶液质量浓度的增加,粒径增大,导致分散度增加。质量浓度和喷气压力对（NH4）2SO4和KCl气溶胶粒径和分散度作用规律的一致性进一步表明（NH4）2SO4作为测试气溶胶的可行性。     

Fe3O4@PEG@SiO2人工抗体的制备及其对噻吩磺隆的吸附性能

以FeCl2·4H2O和FeCl3·6H2O为原料采用共沉淀法制备Fe3O4磁性纳米粒子,在其表面修饰聚乙二醇 2000（PEG-2000）,在所得的修饰了PEG-2000的Fe3O4磁性纳米粒子溶液中加入模板分子噻吩磺隆、交联剂正硅酸乙酯和催化剂氨水,水解后制得印迹了噻吩磺隆的Fe3O4@PEG@SiO2人工抗体。用体积比为1:4的乙酸和丙酮溶液为洗脱剂,洗脱位于SiO2壳层中的印迹分子,形成具有与印迹分子结构、大小和功能基团互补的特异性识别位点空穴。制备的Fe3O4@PEG@SiO2人工抗体对目标分析物噻吩磺隆分子选择性识别和吸附,对噻吩磺隆的最大饱和结合量为41.28 mg·g-1,前30 min内,其吸附速率为0.45 mg·(min·g)-1,分别是非印迹方法的5.34倍和3.46倍。     

人工神经网络在预测深基坑周边地表沉降变形中的应用研究

深基坑开挖引起的周边地表变形预测是一个复杂非线性问题,引起地表沉降的影响因素很多,各因素之间呈高度的非线性关系。传统的基坑用边地表沉降变形预测方法存在着一定的局限性,其预测精度有待提高,而人工神经网络是一种多元非线性动力学系统,可以灵活方便地对多成因的复杂未知系统进行高度建模,实现全面考虑各种主要影响因素的深基坑周边地表沉降变形预测。本文介绍了误差反向传播(BP)网络模型的结构、学习过程及其算法的改进,径向基函数(RBF)网络模型的结构及其学习过程;分析了影响深基坑开挖周边土体沉降变形的主要影响因素;以25个基坑工程的地表沉降实测资料为训练样本,建立了11个输入影响因素的BP神经网络模型和RBF神经网络模型,通过对样本的学习训练过程及对5个检验样本的预测精度,说明了人工神经网络用于预测基坑周边地表沉降的可行性和准确性。     

底泥扰动对上覆水中磷形态分布的影响

通过室内试验模拟底泥受持续和间歇扰动的过程.探讨了扰动作用对上覆水中不同形态磷分布的影响.结果表明,持续扰动和间歇扰动显著促进了上覆水中的溶解态磷向底泥迁移.持续扰动与间歇扰动作用下,上覆水中溶解性无机磷(DIP)分别在第6h和第24h达到平衡状态,为0.014mg.L-1和0.015mg.L-1.显著低于对照试验(0.04mg.L-1);而溶解性总磷(DTP)则在第6h和第48h达到平衡状态,为0.047mg·L-1和0.045mg.L-1,显著低于对照试验(0.065mg.L-1).持续扰动促进了颗粒态磷(PC)的释放,扰动6h后,PP达到最大值(9.18mg·L-1).随后下降.第24h后,PP稳定在2.18mg·L-1左右;而间歇扰动作用下,第2h,PP达到最大值(2mg·L-1),随后下降,第96h后,PP稳定在0.093mg·L-1左右.扰动作用下,TP的变化规律与PP一致.与初始状态相比,持续扰动和间歇扰动作用下,DIP/DTP、DIP/TP、DTP/TP显著下降,而上述该值在对照试验中则基本保持不变,说明扰动导致的底泥再悬浮有利于降低上覆水中溶解态磷的含量.     

涤沦仿真丝印染废水治理技术的研究及其应用

采用化学法去除对苯二甲酸，对高浓度涤纶仿真丝印染废水进行治理。结果表明：该技术对碱减量废水中ＣＯＤＣｒ的去除有显著的效果。当废水的ｐＨ值在１２～１４，ＣＯＤＣｒ含量在１００００～３３０００ｍｇ／Ｌ时，将废水的ｐＨ值调节到４～６，出水ＣＯＤＣｒ能降至１０００～２７００ｍｇ／Ｌ之间，ＣＯＤＣｒ去除率为７７％～９５５％。为涤纶纺真丝印染废水治理达标排放奠定了基础