Residual benefits of promiscuous soybean to maize (Zea mays L.) grown on farmers’ fields around Minna in the southern Guinea savanna zone of Nigeria

Biological nitrogen fixation (BNF) by promiscuous cultivars of soybeans (Glycine max (L.) Merr.) in cereal-based cropping systems of Nigeria’s moist savanna zone offers a potential for minimizing the investment made by resource-poor farmers on nitrogen fertilizers. A 3-year trial was conducted on five farmers’ fields in the southern Guinea savanna zone of Nigeria to assess the residual effects of two successive crops of promiscuous soybean cultivars on the yield of a following maize (Zea mays L.) crop. The soybean cultivars, TGX1456-2E (medium maturity) and TGX1660-19F (late maturity), were grown in 1996 and 1997. Treatments, imposed only in the first year of the trial, were: (i) uninoculated, (ii) inoculated with a mixture of two Bradyrhizobium strains, and (iii) fertilized with 60 kg N ha⁻¹. A fourth treatment was a plot left to fallow. In 1998, all the previous soybean and fallow plots were sown to maize without any fertilizer application. Results in 1996 and 1997 showed a soybean response to inoculation in the first year, but differences due to the residual effect of inoculation in the second year were not significant. Both cultivars showed a similar response to inoculation but responses at the five sites were varied. Soybean cultivar 1456-2E fixed 43–52% of its N amounting to 56–70 kg N ha⁻¹ and cultivar 1660-19F derived 39–54% of its N from N₂-fixation which amounted to 51–78 kg N ha⁻¹. Both cultivars had a high N harvest index resulting in a net removal of 52–95 kg N ha⁻¹ when both grain and stover were exported. Even when the stover was returned, there was a depletion of 23–65 kg N ha⁻¹, with 1456-2E removing more N than 1660-19F. Arbuscular-mycorrhizal infection on maize roots was 11–27% and dependent on previous soybean treatments and farmers’ fields. Plant height, shoot biomass, grain yield, and N uptake of maize were significantly greater in plots previously sown to soybean than in the fallow plots. In general, plots sown to the late maturing cultivar 1660-19F exhibited better residual effect, producing larger yield parameters than the plots planted with medium maturing 1456-2E.     

Assessment of contribution of SO2 and NO2 from different sources in Jamshedpur region, India

Contribution of pollution from different types of sources in Jamshedpur, the steel city of India, has been estimated in winter 1993 using two approaches in order to delineate and prioritize air quality management strategies for the development of region in an environmental friendly manner. The first approach mainly aims at preparation of a comprehensive emission inventory and estimation of spatial distribution of pollution loads in terms of SO₂ and NO₂ from different types of industrial, domestic and vehicular sources in the region. The results indicate that industrial sources account for 77% and 68% of the total emissions of SO₂ and NO₂, respectively, in the region, whereas vehicular emissions contributed to about 28% of the total NO₂ emissions. In the second approach, contribution of these sources to ambient air quality levels to which the people are exposed to, was assessed through air pollution dispersion modelling. Ambient concentration levels of SO₂ and NO₂ have been predicted in winter season using the ISCST3 model. The analysis indicates that emissions from industrial sources are responsible for more than 50% of the total SO₂ and NO₂ concentration levels. Vehicular activities contributed to about 40% of NO₂ pollution and domestic fuel combustion contributed to about 38% of SO₂ pollution. Predicted 24-h concentrations were compared with measured concentrations at 11 ambient air monitoring stations and good agreement was noted between the two values. In-depth zone-wise analysis of the above indicates that for effective air quality management, industrial source emissions should be given highest priority, followed by vehicular and domestic sources in Jamshedpur region.     

Review and comparison of methods to study the contribution of variables in artificial neural network models

Convinced by the predictive quality of artificial neural network (ANN) models in ecology, we have turned our interests to their explanatory capacities. Seven methods which can give the relative contribution and/or the contribution profile of the input factors were compared: (i) the ‘PaD’ (for Partial Derivatives) method consists in a calculation of the partial derivatives of the output according to the input variables; (ii) the ‘Weights’ method is a computation using the connection weights; (iii) the ‘Perturb’ method corresponds to a perturbation of the input variables; (iv) the ‘Profile’ method is a successive variation of one input variable while the others are kept constant at a fixed value; (v) the ‘classical stepwise’ method is an observation of the change in the error value when an adding (forward) or an elimination (backward) step of the input variables is operated; (vi) ‘Improved stepwise a’ uses the same principle as the classical stepwise, but the elimination of the input occurs when the network is trained, the connection weights corresponding to the input variable studied is also eliminated; (vii) ‘Improved stepwise b’ involves the network being trained and fixed step by step, one input variable at its mean value to note the consequences on the error. The data tested in this study concerns the prediction of the density of brown trout spawning redds using habitat characteristics. The PaD method was found to be the most useful as it gave the most complete results, followed by the Profile method that gave the contribution profile of the input variables. The Perturb method allowed a good classification of the input parameters as well as the Weights method that has been simplified but these two methods lack stability. Next came the two improved stepwise methods (a and b) that both gave exactly the same result but the contributions were not sufficiently expressed. Finally, the classical stepwise methods gave the poorest results.     

城市大气污染物来源特征

以北京市为案例，介绍一种包括污染物排放清单建立、环境空气质量模拟及区域环境影响分析等方法在内的城市大气污染物来源特征分析的整体技术方法，从而确定城市大气污染物的排放分布及浓度分布特征、行业排放分担率及浓度贡献、地区排放分担率及浓度贡献以及区域污染对城市环境空气质量影响等多方面特征，为城市大气污染的控制决策提供必要的理论支持。对北京市的研究结果表明：对PM10，扬尘和工业为主要当地污染源；对SO2，采暖和工业为主要当地污染源；对NOx，交通和工业为主要当地污染源；对3种主要大气污染物，石景山、朝阳南等工业区以及老城区对北京市的大气环境造成重要影响，为需要优先控制的地区；北京市周边污染源对北京环境气质量有较大影响，其中RM10的影响最大(高达47．3％)，北京市应同时加强对局地污染与区域污染的控制。     

Cardiac blood flow studies in fetuses with haemoglobin bart's disease

Blood flow across the atrioventricular valves and outflow tracts was measured in 55 normal fetuses and 32 fetuses with haemoglobin (Hb) Bart's disease between 18 and 26 weeks of gestation. The mean velocities remained unchanged in both normal and affected fetuses over the gestations studied. The volume flow across both atrioventricular valves and outflow tracts increased as the gestation advanced in both normal and affected fetuses, but was significantly higher in affected than in normal fetuses. The same magnitude of increased flow was found in both hydropic and non-hydropic fetuses with Hb Bart's disease. These findings suggest that fetuses with severe and long-standing anaemia have a remarkable cardiac compensatory mechanism for the maintenance of tissue oxygenation. In response to anaemia and circulatory loading, the cardiac chambers and outflow tracts enlarge proportionately up to twice the normal values. Because of this response and the operation of the Frank-Starling mechanism, the heart is able to maintain a normal mean velocity of propulsion and the net output is increased to two to three times that in normal fetuses. Hydropic changes in these anaemic fetuses appear unrelated to cardiac failure as cardiac failure is not observed at the time that hydropic changes develop.     

水稻不同生育期As胁迫下As累积关键生育期

水稻不同生育期对As的吸收累积差异明显.为研究水稻糙米As累积的关键生育期,明确不同生育期吸收累积As对糙米As累积的贡献,本研究通过水培试验,分别在水稻分蘖期（30 d）、拔节期（16 d）、孕穗期（13 d）、灌浆期（17 d）、蜡熟期（15 d）、成熟期（13 d）和全生育期（104 d）添加外源As,及不添加外源As处理作为对照CK.结果表明：①不同生育期As胁迫对水稻植株生物量有显著影响,与对照CK相比,单一时期As胁迫处理中仅分蘖期As胁迫处理下植株生物量增加,其他处理均降低,其中孕穗期As胁迫处理最低,所有单一时期As胁迫处理植株生物量均高于全生育时期As胁迫下植株生物量;②6个单一时期As胁迫处理糙米中As含量均高于对照CK糙米中As含量,范围为0.08~0.24 mg ·kg^-1,其中孕穗期As胁迫处理糙米As含量最高,为全生育时期As胁迫处理糙米As含量的64.9%;③6个单一时期As胁迫处理糙米As的累积量均高于对照CK,范围为1.4~4.5 μg ·株^-1,其中孕穗期As胁迫处理糙米As累积量最高,其次是灌浆期,而全生育时期As胁迫处理糙米As累积量为5.7 μg ·株^-1,高于所有单一时期As胁迫处理糙米As的累积量;④水稻孕穗期累积的As对水稻成熟期糙米中As累积量的相对贡献率最大,为40.3%,其次为灌浆期,相对贡献率为26.0%,孕穗期和灌浆期是水稻成熟期糙米As累积的关键生育期.     

2000—2016年珠海市酸雨变化特征及酸雨概念模型

为评估我国酸雨控制效果与发展趋势,利用2000-2016年东亚酸沉降监测网（EANET）的监测数据及同步气象资料,研究了珠海市酸雨变化特征及EANET中国网所有4个城市（珠海、厦门、重庆、西安）的城市降水化学组分特征.利用HYSPLIT后向轨迹聚类和潜在源区PSCF分析方法,研究了珠海市降水气团和酸雨来源,建立了珠海市酸雨概念模型.结果表明：①珠海市酸雨日数与频率呈先增后减趋势,2008年后珠海市酸雨污染程度明显改善,我国酸雨控制效果明显.②沿海城市（珠海、厦门）与内陆工业城市（重庆、西安）降水离子组分区别明显,内陆工业城市酸雨受碱性颗粒物影响较大.③沿海城市（珠海、厦门）酸雨为硫酸-硝酸混合型;内陆工业城市（重庆、西安）酸雨以硫酸型为主,近年有向硫酸-硝酸混合型转变的趋势.④综合酸雨降水HYSPLIT后向轨迹聚类分析与PSCF潜在源区分析结果可建立酸雨概念模型,有助解释酸雨成因.珠海市强酸雨主要受珠海市外的珠三角地区污染物输送影响.     

澜沧江流域水体悬浮颗粒物δ15 N空间差异及成因分析

梯级水电建设对澜沧江流域生源物质迁移转化及其生态环境的影响目前受到国内外学者的广泛关注,本文通过使用稳定同位素技术,分析了澜沧江流域悬浮颗粒物氮同位素的空间分布差异及其成因.结果表明,澜沧江上游自然河道水体溶解无机氮(DIN)质量浓度变化范围为0. 28～0. 60 mg·L~(-1),下游水库段DIN质量浓度显著增高,变化范围为0. 39～1. 15mg·L~(-1);上游自然河道段悬浮颗粒物δ~(15)N变化范围为4. 52‰～6. 72‰,下游水库段明显增重其变化范围为2. 3‰～11. 8‰.利用Isosource软件对悬浮颗粒物来源进行分析,结果表明澜沧江流域内工业及生活污水为悬浮物颗粒物氮素的主要贡献源,占比约为42. 43%;土壤有机质、大气沉降、农业化肥的贡献率分别为22. 38%、18. 16%和17. 03%;在该流域内上游自然河道段受工业及生活污水、土壤有机质以及大气沉降共同影响,下游水库段则主要受工业及生活污水的影响.同时小湾、漫湾、大朝山这3个库区内存在藻类吸收同化作用而使得悬浮颗粒物δ~(15)N变轻的现象.     

基于COPERT模型的江苏省机动车时空排放特征与分担率

利用COPERT模型和Arc GIS技术建立了江苏省2015年1 km×1 km、小时分辨率的机动车网格化排放清单.采用改进的"标准道路长度"方法,利用路网信息以及拥堵延时指数的月变化、周变化和日变化数据提高清单的时空分辨率.基于COPERT模拟结果分析了分车型、排放标准以及道路类型的机动车污染物排放分担率.结果表明,江苏省2015年NOx、HC、CO、PM_(2.5)、SO_2、OM和BC的排放量分别为49.09、16.63、161.48、1.69、0.19、0.36和0.67万t,其中苏州和徐州排放量占比之和达34%~45%;HC蒸发排放量为2.02万t,占HC排放总量的12%;小型客车和摩托车对于HC和CO排放量的分担率最大,均超过30%;重型柴油货车对NOx、PM_(2.5)、SO_2、OM、BC的分担率在36%~54%之间,远高于其他车型;苏州和徐州的重型和中型柴油货车是NOx、PM_(2.5)的最主要排放源;国Ⅲ标准柴油车对NOx、PM_(2.5)、SO_2和BC的分担率均最大,在42%~55%之间;国Ⅲ标准重型柴油货车和国0标准中型柴油货车是全省NOx、PM_(2.5)、OM和BC的首要和次要贡献车型,两者分担率之和在40%~56%之间.国0标准摩托车对全省HC和CO排放的分担率较高,约为16%.     

洱海不同途径氮来源季节性特征及对水体氮贡献

通过研究2013年入湖河流颗粒物、干湿沉降和表层沉积物氮同位素及变化,试图揭示洱海不同途径入湖氮来源季节性变化特征,并引入Iso Source模型,初步定量估算不同来源氮对洱海水体氮的贡献.结果表明:(1)洱海主要入湖河流δ15N季节性变化范围为1.5‰~9.1‰.其中,春季氮的主要来源为内源性有机质;夏季和秋季来源主要为土壤流失;冬季的主要来源为生活污水.(2)干、湿沉降δ15N季节性变化范围分别为+6.86‰~+8.49‰和-10.03‰~-8.15‰,其中湿沉降主要集中在夏秋季节,氮主要来源为机动车尾气和农业土壤释放,而干沉降主要集中在冬春季节,氮主要来源为煤炭燃烧和土壤氮释放.(3)洱海表层沉积物δ15N的变化范围为3.89‰~6.38‰,北部湖区沉积物氮主要来源为农业化肥,中部湖区主要来源为内源性有机质,南部湖区主要来源为土壤氮.(4)洱海各入湖氮来源中,废水对水体氮贡献率最大,占比为29%~44%,其次为内源性有机质,占比为24%~31%.此外,土壤氮和化肥也具有一定贡献,占比分别为14%~19%和8%~10%,而其他氮来源的贡献率较低,合计占比小于12%.沿湖区域生活污水排放及湖泊自生内源性有机质共占洱海入湖氮来源的42%~57%,应予以重点关注.