再生水灌溉对苜蓿生长及养分吸收的影响

论文在盆栽条件下,研究了再生水灌溉对苜蓿(Medicago sativa L.cv.‘Algonquin’)生长及养分吸收的影响。试验设置了清水、再生水两种灌水类型,高、中、低3个不同灌水水平。结果表明:同一灌水类型条件下,苜蓿植株生长高度随灌水量减少而降低,同一灌水水平下,灌溉水类型对植株高度无明显影响;不同的灌水水平对植株侧枝数的影响差异不显著,但灌溉水类型对植株侧枝数影响差异显著,所有处理中再生水高水平灌溉侧枝数增幅最大;与清水相比,再生水灌溉能显著增加苜蓿干物质产量;在苜蓿生长前期,再生水灌溉对苜蓿根系生长具有阻碍作用;灌溉水类型对苜蓿植株体内吸收氮、磷、钙、镁吸收量的影响主要在其生长前期,灌溉水类型对苜蓿体内钾含量无明显影响。     

复合养殖系统中浮游动物种类丰度及其影响因素

利用人工湿地和养殖塘构建了复合养殖系统,通过设置不同塘间水质差异,调查了斑点叉尾鮰鱼鱼种培育段和成鱼养殖段不同梯度下的浮游动物种类丰度,并探讨了种类丰度与环境因子的关系.结果表明,2养殖阶段的循环塘中,轮虫的种类丰度随养殖密度的增加而升高,浮游甲壳动物随养殖密度的增加而降低.成鱼养殖阶段对照塘中轮虫的种类丰度高于循环塘P1、P2;枝角类和桡足类的丰度则低于P1、P2;高养殖密度塘P3中,3种形态浮游动物种类丰度均低于对照塘.15种环境因子的主成分分析以及种类丰度与环境因子的冗余度分析结果表明,影响浮游动物种类丰度的主要环境因素为水体的营养状态,水体的物理特征对种类丰度的影响较小.     

基于压力响应关系法的湖泊营养物基准制定

湖泊富营养化与氮、磷及有机物含量过高密切相关,建立数字型营养物基准能够防止富营养化对水体指定用途造成影响.太湖流域是我国华东地区经济腹地,近年来流域内湖泊水质每况愈下,对其基准研究可为湖泊治理提供依据.详细介绍了压力响应关系法制定湖泊营养物基准的步骤,并将此方法运用到太湖流域营养物基准制定研究中.为满足大多数水体指定用途,研究中将该流域湖泊基本功能确定为娱乐、永生生物栖息地及饮用水,以此构建流域概念模型.选择压力变量为总氮(TN)、总磷(TP)和有机物,响应变量为叶绿素a(chl-a).用非参数分析法和线性回归法分别建立压力-响应模型,通过2种方法相互验证得到TN、TP和CODMn基准分别为0.593、0.067和4.092 mg/L.     

密云县密云水库流域坡耕地养分流失特征

于2005年和2006年连续2 a对密云水库流域坡耕地进行水土流失小区试验,并完全按照当地农民习惯进行农事管理.试验结果表明:(1)降雨后坡耕地产生的地表径流量、泥沙量随坡度增大而增加,并与坡度正弦值呈一定的线性关系;(2)坡度对雨后地表径流和泥沙中养分含量影响不明显,但对泥沙养分流失量有明显影响;(3)养分流失以泥沙携带为主要途径,且通过泥沙携带途径流失的养分量占流失养分总量的比例随坡度增加而增加;(4)水库周边区域内坡耕地流失养分的主要来源为施用于坡耕地的化学肥料.(5)调整水库流域内坡耕地的种植结构、对坡耕地实施改造以截留或减少泥沙流失和控制化学肥料投入等措施对于治理流域内农业非点源污染、保护水源地水质显得尤为迫切.     

Effects of nitrate concentration in interstitial water on the bioremediation of simulated oil-polluted shorelines

Nutrient addition has been proved to be an effective strategy to enhance oil biodegradation in marine shorelines.To determine the optimal range of nutrient concentrations in the bioremediation of oil-polluted beaches,nitrate was added to the simulated shoreline models in the initial concentration of 1,5 and 10 mg/L.Whenever the NO3-N concentration declined to 70% of its original value, additional nutrients were supplemented to maintain a certain range.Results showed adding nutrients increased the oil biodegradation level,the counts of petroleum degrading bacteria(PDB)and heterotrophic bacteria (HB),and the promoted efficiency varied depending on the concentration of nitrate.Oil degradation level in 5 mg/L(NO_3-N)group reached as much as 84.3% accompanied with the consistently highest counts of PDB;while in 1 mg/L group oil removal efficiency was only 35.2%,and the numbers of PDB and HB were relatively low compared to the other groups supplemented with nutrients.Although counts of HB in the 10 mg/L group were remarkable,lower counts of PDB resulted in poorer oil removal efficiency (70.5%) compared to 5 mg/L group.Furthermore,it would need more NO_3-N(0.371 mg)to degrade 1 mg diesel oil in the 10 mg/L group than in the 5 mg/L group(0.197 mg).In conclusion, Nitrate concentration in 5 mg/L is superior to 1 and 10 mg/L in the enhancement of diesel oil biodegradation in simulated shorelines.     

Anaerobic tapered fluidized bed reactor for starch wastewater treatment and modeling using multilayer perceptron neural network

Anaerobic treatability of synthetic sago wastewater was investigated in a laboratory anaerobic tapered fluidized bed reactor(ATFBR) with a mesoporous granular activated carbon(GAC)as a support material.The experimental protocol was defined to examine the effect of the maximum organic loading rate(OLR),hydraulic retention time(HRT),the efficiency of the reactor and to report on its steady- state performance.The reactor was subjected to a steady-state operation over a range of OLR up to 85.44 kg COD/(m~3.d).The COD removal efficiency was found to be 92% in the reactor while the biogas produced in the digester reached 25.38 m~3/(m~3·d) of the reactor. With the increase of OLR from 83.7 kg COD/(m~3.d),the COD removal efficiency decreased.Also an artificial neural network(ANN) model using multilayer perceptron(MLP)has been developed for a system of two input variable and five output dependent variables. For the training of the input-output data,the experimental values obtained have been used.The output parameters predicted have been found to be much closer to the corresponding experimental ones and the model was validated for 30% of the untrained data.The mean square error(MSE)was found to be only 0.0146.     

淀山湖浮游植物营养限制因子的研究

通过藻类增长的生物学评价(Nutrient Enrichment Bioassay)研究淀山湖浮游植物生长限制性因子,并采用析因方差分析和事后比较方法分析营养盐（PO^3-₄P、NH₃N、NO^-₃N）对浮游植物生长速度、平均最大现存量和平均最大特定增长率的影响。研究表明：磷对浮游植物生长有明显的促进作用,能提高浮游植物的生长速度和现存量,且促进作用随磷浓度（0.13～0.53 mg/L）的增加而加强,磷是淀山湖浮游植物增长的第一限制性因子;低浓度硝氮（2.91～5.91 mg/L）对浮游植物生长有微小的促进作用,但高浓度（5.91～8.91 mg/L）的硝氮表现出抑制作用;氨氮对浮游植物生长有抑制作用,并随浓度（1.25～7.25 mg/L）的增加而增大;添加磷+硝氮能明显促进浮游植物生长,磷与硝氮之间存在一定的交互作用.     

三峡水库主要入库河流氮营养盐特征及其来源分析

以2004～2005年的三峡水库3条主要入库河流(长江、嘉陵江、乌江)中的水文、水质的调查数据为依据,研究了三峡水库入库河流中主要的水文变化特征、氮营养盐的季节性分布规律及其形态组成.结果表明,3条入库河流的流量、流速呈现季节性变化,三峡水库入库河流的主要水文特征值已处于水华暴发的危险范围内,很容易发生水华.3条入库河流中总氮含量年均值都在1.55～2.15 mg/L之间,总体偏高,乌江武隆断面的总氮浓度最高,嘉陵江北碚断面次之,长江朱沱断面最低,并且3条河流丰水期水体中总氮含量均高于枯水期,说明非点源对氮污染影响较大;溶解态无机氮(DIN)是总氮的主要存在形式,而其中又以硝酸盐氮(NO3--N)为主,平均占到DIN的70%以上.氮素污染多以还原态氨氮(NH4 -N)的形式排入水体,经过硝化作用,NH4 -N氧化成亚硝酸盐氮(NO2--N),然后再氧化成稳定的NO3--N,并且消耗掉水体中大量的氧.入库河流水体中的NO3--N主要来自农田径流、城市污水、城市径流以及淹没土壤的释放,NH4 -N的来源主要是城市污水、工业废水以及少量的生活垃圾和船舶废水.     

Integrating intraseasonal grassland dynamics in cross-scale distribution modeling to support waterbird recovery plans

Despite much discussion about the utility of remote sensing for effective conservation, the inclusion of these technologies in species recovery plans remains largely anecdotal. We developed a modeling approach for the integration of local, spatially measured ecosystem functional dynamics into a species distribution modeling (SDM) framework in which other ecologically relevant factors are modeled separately at broad scales. To illustrate the approach, we incorporated intraseasonal water-vegetation dynamics into a cross-scale SDM for the Common Snipe (Gallinago gallinago), which is highly dependent on water and vegetation dynamics. The Common Snipe is an Iberian grassland waterbird characteristic of European agricultural meadows and a member of one of the most threatened bird guilds. The intraseasonal dynamics of water content of vegetation were measured using the standard deviation of the normalized difference water index time series computed from bimonthly images of the Sentinel-2 satellite. The recovery plan for the Common Snipe in Galicia (northwestern Iberian Peninsula) provided an opportunity to apply our modeling framework. Model accuracy in predicting the species’ distribution at a regional scale (resulting from integration of downscaled climate projections with regional habitat–topographic suitability models) was very high (area under the curve [AUC] of 0.981 and Boyce's index of 0.971). Local water-vegetation dynamic models, based exclusively on Sentinel-2 imagery, were good predictors (AUC of 0.849 and Boyce's index of 0.976). The predictive power improved (AUC of 0.92 and Boyce's index of 0.98) when local model predictions were restricted to areas identified by the continental and regional models as priorities for conservation. Our models also performed well (AUC of 0.90 and Boyce's index of 0.93) when projected to updated water-vegetation conditions. Our modeling framework enabled incorporation of key ecosystem processes closely related to water and carbon cycles while accounting for other factors ecologically relevant to endangered grassland waterbirds across different scales, allowed identification of priority areas for conservation, and provided an opportunity for cost-effective recovery planning by monitoring management effectiveness from space.     

土壤温度上升与森林衰退

土壤温度上升可能会引起土壤产生过量的ＨＮＯ３，而过量的ＨＮＯ３在酸性土壤中将导致Ａｌ（３＋）浓度的升高和盐基阳离子的流失，使养分失调，细根坏死。土壤温度上升还可能会改变土壤有机质动力学、土壤水文学和土壤物理学，从而改变森林生境特征，影响森林的正常生长。