半干旱黄土区自然恢复与人工造林恢复植被群落对比研究

为研究半干旱黄土区高效植被恢复途径,选取陕西省吴起县境内的合沟封禁流域和柴沟人工造林流域为研究区,在两流域内,沿顺坡和横坡方向,选择一系列20 m×20 m的样地,各组成2条样带。在每个样地内的对角线交点和对角线四分之一处选取5个样方进行植被调查,草本样方和乔灌样方的尺寸分别为1 m×1 m和5 m×5 m。共获得草本样方185个、乔灌木样方80个,其中,合沟封禁流域105个,均为草本样方,柴沟人工造林流域草本样方与乔灌样方各80个。运用植物生态学和植物群落学方法,调查各样方内的植物种类、株数、株高、盖度、地上生物量以及树木基茎、树高、冠幅等植被群落特征指标,并在此基础上对两流域的植被群落特征进行对比分析。结果表明：（1）两流域的植被种类共61种,其中柴沟人工造林流域46种,合沟封禁流域51种,共存物种36种;（2）经过10年生态恢复,柴沟人工造林流域已形成乔-灌-草群落,合沟封禁流域仍为草本群落,且两流域草本群落均以铁杆蒿（Artemisia sacrorum Ledeb.）和茭蒿（Artemisiagiraldii Pamp.）为主要建群种;（3）柴沟人工造林流域的植被盖度、平均高、生物量均明显高于合沟封禁流域的相应指标。两流域植物群落Simpson指数和Shannon-Weiner指数差异较小,Sorensen指数为0.742,主要草本植物种的指标差异不显著。以上特征反映出,在半干旱黄土区,适宜的人工造林可加速该区植被恢复的进程。     

基于RBF神经网络的鄱阳湖表层水体总悬浮颗粒物浓度遥感反演

为进一步提高湖泊总悬浮颗粒物浓度遥感反演的准确性,引进适应复杂非线性映射的RBF神经网络模型,以鄱阳湖通江湖体为例进行了实证分析,根据实测水体悬浮颗粒物浓度和MODIS遥感数据,对遥感数据进行预处理,建立了RBF神经网络悬浮颗粒物浓度反演模型,神经元个数为8个,误差性能目标值为0.001,对悬浮颗粒物浓度进行反演。研究结果表明,验证样本相关系数R2=0.956 8,均方根误差RMSE=0.54。利用神经网络模型反演水悬浮颗粒物浓度是有效的,其反演结果优于非线性回归模型的结果。     

RECHARGE OF THE SNAKE RWER PLAIN AQUIFER: TRANSITIONING FROM INCIDENTAL TO MANAGED1

ABSTRACT: Declining ground-water levels and spring discharges have heightened water user concerns about the sustainability of the Snake River Plain aquifer in southern Idaho. Diminished recharge from surface water irrigation and increased irrigation pumping have been depleting the aquifer at a rate of about 350,000 acre-feet/year. Previously, aquifer conditions were treated as an uncontrollable consequence of weather and development activities. With increasing competition for available water, the State appears to be progressing through a three-stage process of recharge management. The first stage is that which has occurred historically, where recharge is largely an incidental effect of surface water irrigation. The second stage is the implementation of intentional recharge with little regard to identifying or maximizing benefits. Idaho has been at this stage for the past few years. The State is entering a third stage in which recharge sites will be located and designed to meet specific water user and environmental objectives. Preliminary estimates using numerical and analytical models demonstrate that managed recharge within a few miles of the river will result in short-term increases in spring discharge. More distant recharge sites are needed to provide longer-term benefits. The primary challenge facing implementation of the managed recharge program will be the balancing of economic and environmental costs and benefits and to whom they accrue.     

不同类型城市人工湿地底栖动物多样性的比较研究

在常州市范围内选取具有代表性的三大人工湿地,对其底栖动物多样性情况进行春秋两季的调查研究。结果显示：软件园秋季底栖动物各项生物多样性指标均高于春季,荆川公园和五星公园则呈现春季生物多样性状况优于秋季的状况。从总体上看,底栖动物的Shannon—Wiener多样性指数软件园〉荆川公园〉五星公园;Pielou均匀度指数荆川公园〉软件园〉五星公园;BI指数表现为五星公园〉荆川公园〉软件园。此外从调查结果来看,软体动物种类数、分布密度与水体的污染程度呈反向趋势,由此推断软体动物种类丰富程度可作为评价城市人工湿地水体受污染程度的重要指标。     

Prediction of high-density polyethylene pyrolysis using kinetic parameters based on thermogravimetric and artificial neural networks

● Reducting the sampling frequency can enhance the modelling process. ● The pyrolysis of HDPE was investigated at three different heating rates. ● The average E_a and k₀ were calculated by Friedman, KAS, FWO, and CR methods. ● ANN was employed to predict the HDPE weight loss with the optimal MSE and R². Pyrolysis is considered an attractive option and a promising way to dispose waste plastics. The thermogravimetric experiments of high-density polyethylene (HDPE) were conducted from 105 °C to 900 °C at different heating rates (10 °C/min, 20 °C/min, and 30 °C/min) to investigate their thermal pyrolysis behavior. We investigated four methods including three model-free methods and one model-fitting method to estimate dynamic parameters. Additionally, an artificial neural network model was developed by providing the heating rates and temperatures to predict the weight loss (wt.%) of HDPE, and optimized via assessing mean squared error and determination coefficient on the test set. The optimal MSE (2.6297 × 10⁻²) and R² value (R² > 0.999) were obtained. Activation energy and pre-exponential factor obtained from four different models achieves the acceptable value between experimental and predicted results. The relative error of the model increased from 2.4 % to 6.8 % when the sampling frequency changed from 50 s to 60 s, but showed no significant difference when the sampling frequency was below 50 s. This result provides a promising approach to simplify the further modelling work and to reduce the required data storage space. This study revealed the possibility of simulating the HDPE pyrolysis process via machine learning with no significant accuracy loss of the kinetic parameters. It is hoped that this work could potentially benefit to the development of pyrolysis process modelling of HDPE and the other plastics.     

污染天气条件下人工降雨对成渝西南区域环境空气质量的影响评估

基于成渝地区大气污染防控形势的严峻性,选取该区域西南部的乐山市作为研究对象,对2016—2020年人工降雨对该城市环境空气质量的影响进行研究。评估发现:冬季改善效果最好,平均每毫米降雨量可降低环境空气质量指数(AQI)约10,对应的SO₂、NO₂、CO、O₃、PM₁₀、PM_2.5浓度分别降低1.8 μg/m³、3.8 μg/m³、0.1 mg/m³、8.1 μg/m³、6.9 μg/m³、8.9 μg/m³;其次是春季,每毫米降雨量可降低AQI约8,对应的6项污染物浓度分别降低1.0 μg/m³、3.3 μg/m³、0.1 mg/m³、8.1 μg/m³、6.1 μg/m³、8.4 μg/m³;再次是夏季,每毫米降雨量可降低AQI约3,对应的6项污染物浓度分别降低0.6 μg/m³、1.6 μg/m³、0.03 mg/m³、6.9 μg/m³、1.2 μg/m³、2.0 μg/m³;秋季每毫米降雨量可降低AQI约1,对应的6项污染物浓度分别降低0.4 μg/m³、0.6 μg/m³、0.01 mg/m³、3.5 μg/m³、0.1 μg/m³、0.1 μg/m³。计算不同季节降雨总量与污染物削减量之间的Pearson相关系数,结果表明,春季人工降雨总量与O₃浓度削减总量呈显著正相关,夏、秋两季人工降雨总量与PM_2.5浓度削减总量呈显著正相关。     

《昆明-蒙特利尔全球生物多样性框架》下的生物多样性监测

生物多样性监测是执行和评估《昆明-蒙特利尔全球生物多样性保护框架》（简称《昆-蒙框架》）长期目标和行动指标所需要的关键数据的主要来源。简要介绍了《昆-蒙框架》下的全球生物多样性观测网络（The global biodiversity observation network,GEO BON）概况、中国已有的生物多样性监测/观测网络,构建全球生物多样性观测系统（A global biodiversity observation system,GBiOS）的目的和核心监测指标,分析了生物多样性监测网络建设的一般步骤和GEO BON建议的4种生物多样性监测新方法。提出,地理空间单元与生物类群的全覆盖监测是建设生物多样性监测网络的主要目标,传统监测方法和新监测技术的互补是当前生物多样性监测的重点工作内容。     

海南省省控土壤环境监测基础点位布设思路与方法

为满足新时期土壤污染防治管理要求,掌握海南省土壤环境质量状况及变化趋势,海南省亟需加强省控土壤环境监测基础点位布设,完善土壤环境监测网。通过梳理海南省土壤环境监测工作基础和监测网络构建情况,形成了省控基础点位布设思路、原则和方法,并应用GIS技术完成点位布设。海南省省控土壤环境监测基础点位基本覆盖了海南省农用地主要土壤类型和成土母岩,监测结果可以反映海南省农用地土壤环境质量整体状况。     

提高人工神经网络洪水峰值预报精度的研究

以动量项与学习率自适应调整相结合的改进BP算法作为人工神经网络计算方法，阐述了洪水预报网络模型的构造和数据处理，以及转移函数对洪水预报精度的影响，提出了合理的洪水预报网络模型的设计方案。     

污水处理过程自动控制研究与应用

就国内外近几年的污水处理过程自动控制的研究进展进行了综述,介绍了各种先进控制理论和先进控制技术在污水处理主要工段和典型参数控制中的应用,并提出污水处理过程中先进控制的前景。