基于土壤流失的农业面源TN和TP排海系数估算

以黄河三角洲为典型研究区,通过分析区域地表污染物流失风险与入海通量的关系,构建了海岸带农业总氮（TN）和总磷（TP）面源污染排海估算模型.在此基础上,计算了包含水田、水浇地和旱地等耕地类的TN和TP面源污染排海系数,验证表明输出系数估算结果较好.研究区耕地的TN和TP排海系数分别为18.33 kg·（hm²·a）^-1和1.02 kg·（hm²·a）^-1,在夏季面源污染负荷较高.子流域尺度较大的耕地类农业面源污染负荷主要位于支脉河、广利河和小岛河管控区域.TN和TP总负荷较大的行政区主要位于北部黄河口镇和永安镇;较大的单位面积负荷在西南部.因此,需要关注农业面源污染的时间效应,同时协调社会经济发展,从子流域和行政单元的角度制定综合性面源污染防控策略,陆海统筹治理海域污染.     

冬奥会期间京津冀及周边区域空气质量时空特征、气象影响和减排效果评估

对比分析2015～2022年冬奥会期间(1月31日至2月20日)京津冀及周边区域44城市空气质量时空演变特征,量化同期气象、协同减排和跨区域传输对PM_2.5浓度及组分变化贡献,为不利气象条件下区域空气质量联防联控提供科学参考.结果表明,2022年44城市PM_2.5浓度为近8年农历同期最低(46μg·m^-3),优良天占比最高(83.3%),不存在重污染天.PM_2.5污染南重北轻,高值区主要集中在太行山沿线及燕山传输通道城市.2016年在春节中期未管控烟花爆竹燃放等源排放强度下,优良天占比93.5%,大气强扩散能力对空气质量改善至关重要.2022年静稳天气指数(SWI)同比增加2.1,大气扩散能力转差,44城市ρ(PM_2.5)均值和峰值同比下降14μg·m^-3和76μg·m^-3,北京减排对PM_2.5浓度降幅较未采取前增大96%,晋鲁豫地区在气象造成PM_2.5浓度上升的不利背景下,峰值下降87μg...     

Optimization of the recovery of plastics for recycling by density media separation cyclones

Material recovery processes are presented as the optimum option for recycling plastic wastes as a means of recovering hydrocarbon resources. There exist a large variety of automated material recovery processes for recycling of such wastes but each with significant limitations. Of these, the separation based on differences in densities is advocated as the optimum process either for producing recycled products or preparing wastes for subsequent recovery processing.Density separation processes based on cyclone type density media separation (DMS) is presented as an important, potential method for increasing plastics recycling process capacities. It is demonstrated to have the capacity to separate a significantly larger range of particle sizes than those presently processed industrially. The mathematical relationship for the prediction of quality of typical LARCODEMS type density media separations by particle size and density as expressed by the Ecart Probable is presented.A proposed device configuration is presented for density media separation to optimize the recovery and purity of both density fractions produced. It is also suggested that to be economically viable, a large scale of operation is required for industrial plastics recycling operations recovering and producing a number of different plastics with a purity to be used as a substitute for virgin material.     

成都龙泉山地区建设用地生态适宜性评价

随着景观格局与生态过程之间的关系日益受到重视,传统的评价方法已经不能满足生态适宜性评价的发展需要。本文以成都市龙泉山地区为例,从景观类型、生态功能、生态价值、土壤侵蚀敏感性和地质灾害敏感性5个方面建立评价指标体系,分别采用最小累积阻力模型和模糊综合评判法描述水平生态过程和垂直生态过程下的生态适宜性,综合两种评价结果进行建设用地的生态适宜性评价。研究结果表明,模型机理的差异使评价结果有着很大的区别,两种方法的综合应用可以有效弥补彼此的不足,本文将研究区的生态适宜性评价结果划分为禁止开发区、严格限建区、一般限建区、重点开发区和优化开发区5个分区,各区的面积分别为259．70km^2、793．89km2、1220．35km2、739．68km2和490．42km2。以往的生态适宜性评价方法往往单一地考虑水平或者垂直生态过程,本文构建的这种综合水平和垂直生态过程的评价方法为生态适宜性评价的方法研究提供了有益的尝试和补充。     

“5·12”地震前后都江堰市地表覆盖状况变化分析

本文以应用遥感技术,对“5·12”地震都江堰区域地表覆盖状况进行分析评价。选取都江堰市基于2007年的LandsatTM影像和2010年HJ-1卫星CCD影像,通过面向对象和目视解译相结合的方法,提取了草地、河流、旱地、水田、建设用地等9类生态类型环境覆盖信息。结果表明：“5·12”汶川地震对地表生态环境的变化较大,北...     

探析模糊控制无线节点网路技术在石油化工安全中的应用

在石油化工领域,为了有效预防和控制易燃易爆有毒气体的泄漏燃烧爆炸,利用计算机技术和电信通讯网络,处理信息和传输信息,以监测探头、无线接收发模块、监控主计算机三部分构建一套安全预警监控系统。在化工厂或危险源区域的危险点,设置多处监测节点,接受信息传输到无线接收发模块,进行模糊化计算、推理,判断后输出结果到监控主计算机,监控主计算机向安全管理人员、现场工作人员等发出报警信息。     

两种水源的水质及其混凝效果对比

针对一年中长江原水和黄浦江原水的水质情况,进行了两种原水几种水质指标的对比分析,混凝沉淀后两种原水氨氮和CODMn的达标情况对比,以及不同水温对于两大原水浊度、氨氮和CODMn混凝效果的影响。结果表明,黄浦江原水的浊度、氨氮和CODMn一般比长江原水高,pH比长江原水低,经过混凝沉淀处理后长江原水氨氮和CODMn的达标率比黄浦江原水高,两种原水的浊度、氨氮和CODMn的去除率随水温的升高有增大的趋势,若两种原水进行混合,为保证其处理后水质达标,则黄浦江和长江原水的配比最好不能超过2∶8。     

河北省进一步发展高等教育的初步探讨

河北省高等教育在全国排名榜中相对落后,与人口大省、经济大省不适应,其原因是多方面的。进一步发展高等教育对河北省实现向经济强省、文化强省跨越至关重要,为此河北省应将努力发展高等教育纳入"十二五"规划,适度扩大办学规模;加大投入;分类指导,突出重点,增强特色,推动内涵式发展;办强师资队伍及师德师风建设;鼓励高校开展科技创新。     

乌昌地区城镇污水处理方式探讨

随着乌昌经济的发展,城市人口快速增长,生活污水的排放量剧增,对环境造成直接和潜在威胁。通过对乌昌地区城镇污水处理现状,昌吉州人工防护林建设状况分析,结合防护林用水量及地下水资源现状分析。探讨城镇污水处理的全新模式,从其生态效益、环境效益、社会效益和经济效益做了分析阐述。     

Integrating soil carbon cycling with that of nitrogen and phosphorus in the watershed model SWAT: Theory and model testing

In this paper we describe and test a sub-model that integrates the cycling of carbon (C), nitrogen (N) and phosphorus (P) in the Soil Water Assessment Tool (SWAT) watershed model. The core of the sub-model is a multi-layer, one-pool soil organic carbon (S_C) algorithm, in which the decomposition rate of S_C and input rate to S_C (through decomposition and humification of residues) depend on the current size of S_C. The organic N and P fluxes are coupled to that of C and depend on the available mineral N and P, and the C:N and N:P ratios of the decomposing pools. Tillage explicitly affects the soil organic matter turnover rate through tool-specific coefficients. Unlike most models, the turnover of soil organic matter does not follow first order kinetics. Each soil layer has a specific maximum capacity to accumulate C or C saturation (S_x) that depends on texture and controls the turnover rate. It is shown in an analytical solution that S_x is a parameter with major influence in the model C dynamics. Testing with a 65-yr data set from the dryland wheat growing region in Oregon shows that the model adequately simulates the S_C dynamics in the topsoil (top 0.3 m) for three different treatments. Three key model parameters, the optimal decomposition and humification rates and a factor controlling the effect of soil moisture and temperature on the decomposition rate, showed low uncertainty as determined by generalized likelihood uncertainty estimation. Nonetheless, the parameter set that provided accurate simulations in the topsoil tended to overestimate S_C in the subsoil, suggesting that a mechanism that expresses at depth might not be represented in the current sub-model structure. The explicit integration of C, N, and P fluxes allows for a more cohesive simulation of nutrient cycling in the SWAT model. The sub-model has to be tested in forestland and rangeland in addition to agricultural land, and in diverse soils with extreme properties such high or low pH, an organic horizon, or volcanic soils.