干燥介质相对湿度对胡萝卜片热风干燥特性的影响

为了探究相对湿度和阶段降湿对热风干燥过程的影响,该文在干燥温度60℃、风速3.0 m/s条件下,研究了相对湿度(20%、30%、40%、50%)及第一阶段相对湿度50%保持不同时间(10、30、60、90 min),第二阶段相对湿度20%下,胡萝卜片的干燥特性和温度变化规律;利用Weibull分布函数对干燥曲线进行拟合并分析干燥过程,结合尺度参数估算水分有效扩散系数;基于复水比、色泽、干燥时间和能耗对不同相对湿度条件下的干燥过程进行评价。研究结果表明:相对湿度保持恒定条件下,干燥速率先上升后下降,且相对湿度越低干燥速率越大。降低相对湿度有利于缩短干燥时间,热风相对湿度20%比50%条件下干燥时间缩短了27.6%;分段降湿干燥条件下,热风相对湿度50%保持30min后降低为20%,其干燥时间比相对湿度恒定为20%条件下缩短了18.5%,干燥过程出现2个升速阶段;Weibull分布函数可以很好地描述胡萝卜恒定湿度和阶段降湿干燥过程。尺度参数α范围在1.864~3.635 h之间,形状参数β值在1.296~1.713之间,水分有效扩散系数在1.17×10-9~2.92×10-9 m2/s之间。对绿红值、复水率、能耗和干燥时间进行综合评价显示,热风相对湿度50%保持30 min干燥条件下绿红值最高为41.4,能耗相比于恒定相对湿度20%条件下减少了6.0%,复水比较高为3.81,综合评分较高为0.91。该文揭示了干燥介质相对湿度对胡萝卜片干燥特性的影响规律,对于优化干燥介质湿度控制策略以提高干燥速率和品质,降低干燥能耗提供了科学依据和技术支持。     

太行山前平原典型灌溉农田深层土壤水分动态

该文针对70年代以来太行山前平原典型灌溉农田地下水位普遍下降的问题,通过分析中国科学院栾城农业生态系统试验站连续3 a的农田土壤水分观测资料,探讨了山前平原典型灌溉农田0~800 cm深土壤水势变化规律和0~1 540 cm深土壤水分含量变化规律。结果表明:土壤水分动态自上向下具有明显的分带性,0~800 cm土壤层水分动态可分为3层:0~200 cm为入渗-蒸发交替变动带(水分增长和消退的较快,土壤含水率变化范围为0.14~0.47 cm3/cm3,基质势变化范围为-628.21~0 cm,200~600 cm为非稳定入渗带(土壤含水率变化范围为0.04~0.41 cm3/cm3,基质势变化范围为-311.79~0 cm,土壤水势梯度有一定变化范围在0.1~5.61 cm/cm之间),600~800 cm为相对稳定入渗带(土壤含水率在0.03~0.35 cm3/cm3之间变化,基质势变化范围为-138.18~-45.57 cm,土壤水势梯度在单位势梯度左右浮动)。在土壤质地和土壤含水率(维持在田间持水量水平)的影响下,深层土壤层的湿润锋运动速率较快(0.13 m/d),表明地下含水层会迅速地响应地表水分输入(降水和灌溉)。结果可为太行山前平原典型灌溉农田地下水分及可持续利用提供科学依据。     

稻田沟渠-湿地系统的碳氮稳定同位素组成特征

由于稳定同位素在特定污染源中具有特定的组成,在污染物质迁移转化过程中作为示踪剂而广泛应用。针对目前农业面源污染较为严重的现状,该文利用碳氮稳定同位素研究了灌区内外源物输入对稻田沟渠-湿地系统的贡献。结果表明,水中颗粒性有机物(particulate organic matter,POM)由于受到光照、营养物质不同导致POM在各采样点组成不同,δ13C变化范围较大,均值为-27.8‰,与大型水生植物和浮游植物接近,此类植物可能是POM的主要来源。水中δ13CDIC(dissolved inorganic carbon,DIC)与浮游植物呈线性相关,浮游动物δ13C与浮游植物存在一定相关性,而浮游植物与POM之间不存在显著性差异,说明研究区内浮游动物对內源有机碳的利用主要是取食浮游植物低持斜聿愠粱?δ13C值变化范围在-27.2‰～-21.8‰之间,明显高于水体POM含量,说明表层沉积物存在比颗粒有机物更富集碳的藻类与陆源碎屑等物质。各采样点颗粒有机物δ15N值的范围3.1‰～4.2‰,平均值为3.6‰,其中湿地δ15N高于其他采样点。沉积物δ15N平均值为-0.6‰,与大气中N2较为接近。     

低分子量有机酸作用下土壤中菲和芘的残留及形态

采用微宇宙试验方法,以菲和芘为多环芳烃(PAHs)代表物,研究了几种低分子量有机酸作用下黄棕壤中菲和芘的残留和形态。结果表明,老化60 d后土壤中菲和芘的残留含量明显减少;不施加有机酸的对照土壤中,菲和芘的残留含量为10.13和29.18 mg kg-1,去除率为87.33%和63.50%。与对照相比,供试浓度(0～64 mg kg-1)范围内,柠檬酸、草酸、酒石酸等3种低分子量有机酸作用下土壤中PAHs残留含量提高,去除率减小,表明供试条件下有机酸抑制土壤中菲和芘的降解;进一步分析发现,少量(≤4 mg kg-1)的有机酸即可对PAHs降解产生高的抑制效果。微生物降解在PAHs的去除中起重要作用,且芘比菲更抗微生物降解。供试条件下,可脱附态和有机溶剂提取态是土壤中菲和芘存在的主要形态,而结合态残留占总残留的比例很小(<8.5%)。3种有机酸均提高了土壤中可脱附态和有机溶剂提取态菲和芘的残留含量,施加有机酸使土壤中菲和芘的可脱附态含量较对照分别提高了46.67%～749.1%和1.83%～80.20%,有机溶剂提取态则提高了8.73%～375.2%和22.63%～114.3%;低分子量有机酸作用下结合态的菲和芘含量仍很小。     

Development of a Sequential Decision-Making Model for Controlling Multiple Air Pollutants Under Stochastic Uncertainty

Most of previous programming methods for air-quality management merely considered single pollutant from point sources. However, air pollution control is characterized by multiple pollutants from various sources. Meanwhile, uncertain information in the decision-making process cannot be neglected in the real-world cases. Thus, an inexact multistage stochastic programming model with joint chance constraints based on the air quality index (air-quality management model with joint chance constraints (AQM-JCC)) is developed for controlling multiple pollutants deriving from point and mobile sources and applied to a regional air-quality management system. In the model, integrated air quality associated with the joint probability existing in terms of environmental constraints is evaluated; uncertainties expressed as probability distributions and interval values are addressed; risks of violating the overall air-quality target under joint chance constraints are examined; and dynamics of system uncertainties and decision processes under a complete set of scenarios within a multistage context are reflected. The results indicate that useful solutions for air quality management practices in sequential stochastic decision environments have been generated, which can help decision makers to identify cost-effective control strategies for overall air quality improvement under uncertainties.     

Effect of Assessment Scale on Spatial and Temporal Variations in CH4, CO2, and N2O Fluxes in a Forested Wetland

Emissions of methane (CH₄), carbon dioxide (CO₂), and nitrous oxide (N₂O) from a forested watershed (160 ha) in South Carolina, USA, were estimated with a spatially explicit watershed-scale modeling framework that utilizes the spatial variations in physical and biogeochemical characteristics across watersheds. The target watershed (WS80) consisting of wetland (23%) and upland (77%) was divided into 675 grid cells, and each of the cells had unique combination of vegetation, hydrology, soil properties, and topography. Driven by local climate, topography, soil, and vegetation conditions, MIKE SHE was used to generate daily flows as well as water table depth for each grid cell across the watershed. Forest-DNDC was then run for each cell to calculate its biogeochemistry including daily fluxes of the three greenhouse gases (GHGs). The simulated daily average CH₄, CO₂ and N₂O flux from the watershed were 17.9 mg C, 1.3 g C and 0.7 mg N m⁻², respectively, during the period from 2003–2007. The average contributions of the wetlands to the CH₄, CO₂ and N₂O emissions were about 95%, 20% and 18%, respectively. The spatial and temporal variation in the modeled CH₄, CO₂ and N₂O fluxes were large, and closely related to hydrological conditions. To understand the impact of spatial heterogeneity in physical and biogeochemical characteristics of the target watershed on GHG emissions, we used Forest-DNDC in a coarse mode (field scale), in which the entire watershed was set as a single simulated unit, where all hydrological, biogeochemical, and biophysical conditions were considered uniform. The results from the field-scale model differed from those modeled with the watershed-scale model which considered the spatial differences in physical and biogeochemical characteristics of the catchment. This contrast demonstrates that the spatially averaged topographic or biophysical conditions which are inherent with field-scale simulations could mask “hot spots” or small source areas with inherently high GHGs flux rates. The spatial resolution in conjunction with coupled hydrological and biogeochemical models could play a crucial role in reducing uncertainty of modeled GHG emissions from wetland-involved watersheds.     

中国农产品产地加工产业布局分析及发展对策

通过对大宗农产品的主要产地分布和大宗农产品加工业的产业布局进行分析,可推知中国大宗农产品产地初加工的格局已基本形成。农产品加工各行业的企业规模偏小、投资盲目、企业间无序竞争、精深加工的程度低、产品的附加值普遍不高等问题是制约中国农产品产地初加工产业化的问题所在。因此,应尽快实现中国农产品产地初加工由初级加工向高附加值精深加工转变,基本形成与国际接轨的农产品加工标准体系和全程质量控制体系,初步形成产学研相结合的研发机制和先进适用技术成果的推广体系,为农产品加工业健康快速发展奠定良好基础。     

HJ-1卫星延寿期的CCD影像质量评价与可用性分析

HJ-1卫星发射升空投入运行以来,已在灾害与环境的快速监测与预报领域发挥了重要作用。HJ-1卫星目前已经成功运行3a多,属于超期服役状态。为了评价延寿期影像质量,该文从影像的几何校正精度、灰度特征和纹理特征3个方面对延寿期HJ-1A-CCD影像进行分析,并与正常寿命运行期的HJ-1ACCD影像、同时期的Landsat7 ETM+影像进行比较,分析结果表明:延寿期HJ-1A-CCD影像质量虽然有一定程度的下降,但其与正常寿命期影像质量接近,仍能较好地描述丰富的地物类型及地物细节信息,可以像正常寿命期影像一样,有效地用于环境监测、灾害监测、国土资源管理、城市规划、农业应用等方面。     

南亚热带主要果树冻(寒)害低温指标的确定

根据历史气候和冻(寒)害灾情资料、2007/2008、2008/2009年冬季盆栽移放试验和典型年考察资料,以及冻(寒)害形态学标准,采用数理统计和对比印证方法,对南亚热带主要果树冻(寒)害低温指标进行研究。确定了几种主要南亚热带果树的轻、中、重、严重冻(寒)害低温指标,结果分别为龙眼:-1.5～0℃、-2.5～-1.5℃、-3.5～-2.5℃、<-3.5℃;荔枝:-2.0～0℃、-3.0～-2.0℃、-4.0～-3.0℃、<-4.0℃;香蕉:3.0～5.0℃、1.0～3.0℃、-1.0～1.0℃、<-1.0℃。结果可为果树冻害监测预警及避冻区划提供参考。     

稻草还田免耕抛秧对水稻土剖面形态特征的影响

为探讨免耕抛秧栽培对土壤剖面形态特征的影响,分别对连续2年和7年结合稻草还田的常耕和免耕试验的土壤剖面进行了研究。结果表明,常耕对土壤剖面形态特征影响不明显。免耕改变了耕作层亚层的剖面形态特征,且表层土壤疏松和pH值变小;水稻根系向土壤表层集中和裂隙出现部位增高。普通免耕形成的耕作层构型是Aa1-Aa2-Aa3,疏松表层较薄、亚表层有变坚实的趋势。稻草还田免耕形成的耕作层构型是O-Aa1-Aa2-Aa3,鳝血斑的数量增加、土壤颜色加深、疏松和体积质量降低。以稻草还田免耕抛秧形成的土壤剖面协调土壤肥力效果最好。