低浓度环糊精强化Fenton试剂降解液相中茚并（1,2,3-cd）芘的试验研究

为了研究Fenton试剂对液相中茚并（1,2,3-cd）芘的降解效果,采用实验室内试验方法,考察并确定了H2O2浓度、FeSO4浓度、反应时间、pH值以及低浓度环糊精等因素对降解的影响。结果表明,使用Fenton试剂可以有效降解液相中的茚并（1,2,3-cd）芘。在降解过程中,对初始浓度为2.5mg·L-1的茚并（1,2,3-cd）芘,当H2O2浓度为20.0mmol·L-1,FeSO4浓度为3.0mmol·L-1时降解较为有效,去除率可达到62.88%,浓度过高或者过低都不利于反应的发生。Fenton氧化降解茚并（1,2,3-cd）芘的反应在60min内可以完成,并且pH值控制在3时更加有利于降解。反应体系中加入低浓度环糊精可以增加茚并（1,2,3-cd）芘在水相中的溶解度,当加入HPCD的浓度为3mg·L-1时,Fenton试剂对茚并（1,2,3-cd）芘的氧化去除率可由62.88%提高至71.24%。     

早显性水稻三系不育系乐3A的选育

乐3A是用IR超级稻与金23B杂交F3代的优良单株与矮败型不育系协青早A测交,并经多代回交转育而成的籼稻三系不育系.该不育系配合力强,异交习性好,且具有早熟不完全显性的特点.配制的杂交组合优质,早熟,抗倒性强.2012年8月,该不育系通过了四川省农作物品种审定委员会技术鉴定,所配组合乐3优727、乐3优2275于201...     

不同氮效率水稻品种增硝营养下根系生长的响应特征

试验采用两室分根盒和溶液培养方法,研究了在增硝营养下不同氮效率水稻品种根系生长的响应特征。结果表明,在本试验条件下,与全铵培养下的根系相比,氮高效水稻品种南光在铵硝混合培养下的根系干重和氮积累量显著增加,增幅达33%和41%;同时其根系表面积、根系体积和侧根数增幅均达到显著水平,但根系长度却无明显增加。氮低效水稻品种Elio在铵硝混合培养下的根系生长差异均不显著。这表明氮高效水稻品种南光的根系生长对增硝营养的响应度强,进而促进了根系对氮素的吸收利用。从本试验的结果可推论,水稻对增硝营养的强响应度可能是水稻氮素高效吸收利用的生理机制之一。     

基于三维激光扫描成像系统的树木干曲线的分形特征

树木干曲线具有分形的结构,文章应用分形方法对甘肃小陇山地区86棵不同树种的单木以及解析木干曲线进行研究,通过计算得到干曲线的分形维数介于2-3之间,研究结果表明同一树种树木干曲线的生长趋势是一致的。经过对单木干曲线和标准解析木干曲线分形维数的测定以及比较分析,可以发现同一树种不同径阶的树木干曲线具有统计意义上的自仿射分形特征,表明分形方法在对树木及其组成部分的形态上的描述作用极大。文章针对立木的测量,采用三维激光扫描成像系统,不仅获得了丰富的测树因子信息,更以此为基础对森林计测学研究进行了扩展,是一项非常有意义的工作。     

Methods to interpolate soil categorical variables from profile observations: Lessons from Iran

The paper compares semi-automated interpolation methods to produce soil-class maps from profile observations and by using multiple auxiliary predictors such as terrain parameters, remote sensing indices and similar. The Soil Profile Database of Iran, consisting of 4250 profiles, was used to test different soil-class interpolators. The target variables were soil texture classes and World Reference Base soil groups. The predictors were 6 terrain parameters, 11 MODIS EVI images and 17 physiographic regions (polygon map) of Iran. Four techniques were considered: (a) supervised classification using maximum likelihoods; (b) multinominal logistic regression; (c) regression-kriging on memberships; and (d) classification of taxonomic distances. The predictive capabilities were assessed using a control subset of 30% profiles and the kappa statistics as criterion. Supervised classification and multinominal logistic regression can lead to poor results if soil-classes overlap in the feature space, or if the correlation between the soil-classes and predictors is low. The two other methods have better predictive capabilities, although both are computationally more demanding. For both mapping of texture classes and soil types, the best prediction was achieved using regression-kriging of indicators/memberships (κ = 45%, κ = 54%). In all cases kappa was smaller than 60%, which can be explained by the preferential sampling plan, the poor definition of soil-classes and the high variability of soils. Steps to improve interpolation of soil-class data, by taking into account the fuzziness of classes directly on the field are further discussed.     

Fluxes of nitrous oxide and nitric oxide from experimental excreta patches in boreal agricultural soil

Nitric oxide (NO) and nitrous oxide (N₂O) emissions were measured from experimental dung and urine patches placed on boreal pasture soil during two growing seasons and one autumn period until soil freezing. N₂O emissions in situ were studied by a static chamber method. NO was measured with a dynamic chamber method using a NO analyser in situ. Mean emissions from the control plots were 47.6±4.5 μg N₂ON m⁻² h⁻¹ and 12.6±1.6 μg NON m⁻² h⁻¹. N₂O and NO emissions from urine plots (132±21.2 μg N₂ON m⁻² h⁻¹ and 51.9±7.6 μg NON m⁻² h⁻¹) were higher than those from dung plots (110.0±20.1 μg N₂ON m⁻² h⁻¹ and 14.7±2.1 μg NON m⁻² h⁻¹). There was a large temporal variation in N₂O and NO emissions. Maximum N₂O emissions were measured a few weeks after dung or urine application, whereas the maximum NO emissions were detected the following year. NO was responsible on average 14% (autumn) and 34% (summer) of total (NO+N₂O)N emissions from the pasture soil. NO emissions increased with increasing soil temperature and with decreasing soil moisture. N₂O emissions increased with increasing soil moisture, but did not correlate with soil temperature. Therefore we propose that N₂O and NO were produced mainly during different microbial processes, i.e., nitrification and denitrification, respectively. The results show that the overall conditions and mechanism especially for emissions of NO are still poorly understood but that there are differences in the mechanisms regulating N₂O and NO production.     

硼钙营养对胡柚果实激素及相关酶代谢的影响

连续2年对胡柚进行叶面喷施硼(B)、钙(Ca)及硼加钙(B+Ca)试验,以探讨B、Ca及其互作对胡柚果实吲哚乙酸(IAA)、赤霉素(GA3)、脱落酸(ABA)等内源激素代谢的影响效应。结果表明,B及B+Ca处理明显降低胡柚果实的IAA、GA3、ABA的含量及果实发育前期的ABA/(IAA+GA3)比率,降低了IAA氧化酶的活性,提高了过氧化物酶(POD)的活性;Ca处理对激素代谢的影响效应相对较小。     

基于移动趋势面的降水面雨量分析

在分析现有面雨量计算方法及降水站点相互关系的基础上,采用移动趋势面分析法对已知站点降水进行拟合,建立区域降水三维模型。并通过某地区62个雨量站点的年降雨量进行了实例演示,通过比较已知站点实际降雨量和拟合降雨量,发现最大相对误差为8%,平均相对误差为5.1%,不仅满足实际需要,而且形象直观地反映该地区降水量变化趋势。     

"3S"技术及其在退耕还林中的应用

退耕还林是国家为保护生态环境、治理水土流失的一项重大举措,但在广大的基层农村,还缺乏有效的技术支持手段。“3S”技术是集遥感、全球定位与地理信息系统于一体的高新技术手段,可以为退耕还林提供强有力的技术支持。就“3S”技术在梅州市退耕还林应用中的设备选用、技术路线、基本过程与方法等进行了探讨,对基层退耕还林工作的开展起到一定的指导作用。     

基于PhotoScan的径流小区三维重建参数优化

提高径流小区数字地面模型精度是应用三维重建技术研究面蚀细沟间与细沟侵蚀过程的关键。以位于黑龙江省海伦市的中国科学院海伦水土保持监测研究站的裸地小区为研究对象,以验证点与控制点误差比和数字高程模型（Digital elevation model,DEM）误差为指标,优化Agisoft PhotoScan三维重建径流小区的处理参数,降低DEM误差。PhotoScan的精度参数和相机模型设置对DEM误差有较大影响。优化后的验证点与控制点误差比降低35%,改善了径流小区DEM对地面控制点的过度拟合。优化后的相机模型包含焦距、像主点、径向畸变、切向畸变等。基于单点和点云的验证结果表明,优化过程误差降低约40%。相对于默认参数设置下的验证点误差（20.0mm）,优化后的验证点误差为11.0mm,与细沟侵蚀深度标准相当（沟深大于等于10mm）,因此优化后的径流小区三维重建过程更适宜于细沟侵蚀过程的三维表达。