Hydraulic Retention Time Influence on Improving Flocculation in the Activated Sludge Processes Through Polyelectrolytes

Hydraulic retention time (HRT) influence improving sludge flocculation with adding the polyelectrolytes (non-ionic, anionic, and cationic) was studied on an activated sludge (AS) system fed with synthetic domestic wastewater (SDW), dairy industry wastewater (DIW), and caramel industry wastewater (CIW). The sludge volumetric index, food/microorganism ratio (F/M), and mixed liquor volatile suspended solids at different HRTs (6, 8 and 10 h) were monitored on an experimental model. Results showed that both SDW and IW had the best sludge flocculation conditions at 8 h and 100 mL of non-ionic polyelectrolyte (0.2 mg L^?1). In addition, this phenomenon reached the organic matter removal efficiencies of 95.9, 95.7, and 94.2% for SDW, DIW, and CIW, respectively. Therefore, optimum HRT increased the organic matter removal efficiencies by 10%, sludge concentration by 37% (22–55%), and F/M ratio by 70%. Moreover, the polyelectrolytes used in AS improved the sludge flocculation by 2.9 times.     

Comparison of larval thermal maxima between <Emphasis Type="Italic">Fundulus heteroclitus</Emphasis> and <Emphasis Type="Italic">F. grandis</Emphasis>

Fundulus heteroclitus and F. grandis are resident salt marsh fishes that overlap in distribution over a narrow range in northeastern Florida. The objective of the present study was to examine whether the limits of the species’ ranges could be explained by differences in thermal tolerance. Two populations of each species were collected and then spawned in the laboratory, and 9-day-old larvae were used for critical thermal maxima trials. Mean LOE temperatures of larvae ranged from 43.04 to 43.65°C and showed little difference between species. Therefore, differences in high temperatures experienced cannot account for the differences of the distributions of the two species. Condition-specific competition may play a greater role in determining the observed range of the two species.     

河北省山区土壤养分与玉米产量的相关性研究

在时间和空间上对河北省山区的土壤养分及玉米的产量进行了定量分析和相关性研究.2007年3月在河北省37个山区县进行土壤和玉米采样,并在室内化验,运用统计分析、地统计分析、克立格插值法、时序分析法方法对数据进行统计分析,得出河北省山区土壤中全钾含量大大提高,其次有机质含量也有较大程度提高.目前,土壤中全钾含量地区间差异较大,冀西北土石山区和太行山土石山区土壤养分提高幅度较大,坝上高原草原区基础最好;玉米籽养分含量空间差异不大,冀西北玉米籽养分含量略优于其它区域;河北省山区玉米产量整体大大提高,其中太行山土石山区玉米产量提高最快;土壤中全磷和速效钾的含量是影响玉米的产量主要因素,应加强钾肥中有效钾肥的使用.     

Analysis of rice blast resistance gene <Emphasis Type="Italic">Pi</Emphasis>-<Emphasis Type="Italic">z</Emphasis> in rice germplasm using pathogenicity assays and DNA markers

The Pi-z gene in rice confers resistance to a wide range of races of the rice blast fungus, Magnaporthe oryzae. The objective of this study was to characterize Pi-z in 111 rice germplasm accessions using DNA markers and pathogenicity assays. The existence of Pi-z in rice germplasm was detected by using four simple sequence repeat (SSR) markers (RM527, AP4791, AP5659-1, AP5659-5) closely linked to Pi-z, and was verified using pathogenicity assays with an avirulent strain (IE1k) and two virulent races (IB33 and IB49). Among 111 germplasm accessions evaluated, 73 were found to contain the Pi-z gene using both SSR markers and pathogenicity assays. The remaining 38 germplasm accessions were found to be inconsistent in their responses to the blast races IB33, IEIk and IB49 with expected SSR marker alleles, suggesting the presence of unexpected SSR alleles and additional R gene(s). These characterized germplasm can be used for genetic studies and marker-assisted breeding for improving blast resistance in rice.     

城市隧道事故车辆“快递”装置

近年来隧道作为城市道路的一种形式大量建设,并作为城市快速路或主干路的一部分。隧道内一旦发生事故,事故地点将成为交通瓶颈,通行能力急剧下降,若不及时清除事故车辆,易导致隧道及相邻路网的严重瘫痪。本文结合南京市玄武湖隧道,设计隧道内事故车辆的快速运输装置,旨在对事故车辆进行"快递",将事故的时间损失降到最低,尽快恢复隧道畅通。     

Assessing the Impacts of Time-to-Detection Distribution Assumptions on Detection Probability Estimation

Abundance estimates from animal point-count surveys require accurate estimates of detection probabilities. The standard model for estimating detection from removal-sampled point-count surveys assumes that organisms at a survey site are detected at a constant rate; however, this assumption can often lead to biased estimates. We consider a class of N-mixture models that allows for detection heterogeneity over time through a flexibly defined time-to-detection distribution (TTDD) and allows for fixed and random effects for both abundance and detection. Our model is thus a combination of survival time-to-event analysis with unknown-N, unknown-p abundance estimation. We specifically explore two-parameter families of TTDDs, e.g., gamma, that can additionally include a mixture component to model increased probability of detection in the initial observation period. Based on simulation analyses, we find that modeling a TTDD by using a two-parameter family is necessary when data have a chance of arising from a distribution of this nature. In addition, models with a mixture component can outperform non-mixture models even when the truth is non-mixture. Finally, we analyze an Ovenbird data set from the Chippewa National Forest using mixed effect models for both abundance and detection. We demonstrate that the effects of explanatory variables on abundance and detection are consistent across mixture TTDDs but that flexible TTDDs result in lower estimated probabilities of detection and therefore higher estimates of abundance.Supplementary materials accompanying this paper appear on-line.     

浅议林业企业负债经营

负债经营可给企业带来利益 ,但如使用不当会给企业带来不利影响 ,导致企业破产 ,当资产利润率大于负债利息率时 ,负债经营可使自有资金利润率扩大 ,但同时财务风险提高。林业企业在经营活动中应适度把握负债比例 ,并考虑 8个方面的问题 ,善于经营负债。     

矾根主要品种的叶色表型性状分析

通过目测进行分类的方式很难准确界定矾根品种叶色。为建立一套更为科学的基于叶色表型的矾根品种分类体系,笔者利用色差仪对72个矾根品种共计432个样品的叶色进行测定,对获得的L、a、b 3个色度值进行聚类分析,将72个矾根品种分为褐色系、深绿色系、黄色系、灰绿色系、浅绿色系5类色系。对矾根品种各色系的L、a、b值进行相关性分析,发现叶片正面的L值与a值、a值与b值呈负相关,L值与b值呈正相关,但相关性不明显;叶片背面的L值与a值、a值与b值呈负相关,L值与b值呈显著正相关。从多重比较的结果中可以看出,矾根品种各色系之间的L、a、b色度值差异显著,尤其是各色系间叶正面的颜色差异较大,在矾根品种选育工作中,叶片正面的颜色将作为主要参考。     

孕穗期低温条件下ABA对水稻结实率及叶片生理特性的影响

为了明确ABA对孕穗期低温下水稻结实率及叶片生理特性的调控效应,本试验在盆栽条件下,以2个水稻(Oryza sativa L.)品种‘龙粳11’（冷敏型）和‘龙稻5’（耐冷型）为材料,于孕穗期在人工气候室进行低温（15℃,持续1,2,3,4,5天）处理,并喷施不同浓度的脱落酸(ABA),研究低温条件下ABA对不同水稻结实率的调控效应,同时探讨了ABA和低温对水稻叶片膜透性、抗氧化酶等生理特性的影响。结果表明：低温条件下,‘龙稻5’的结实率变化不大,‘龙粳11’的结实率显著降低,20 mg/L的ABA能够有效缓解低温伤害,相对提高低温胁迫下水稻的结实率。叶片超氧化物歧化酶(SOD)、过氧化物酶(POD)和过氧化氢酶(CAT)活性表现出先升高后下降的变化趋势,‘龙稻5’的抗氧化酶活性、可溶性糖和可溶性蛋白含量高于‘龙粳11’,但丙二醛(MDA)含量和相对电导率低于‘龙粳11’。ABA可提高冷敏品种的抗氧化酶活性、可溶性糖和可溶性蛋白的含量,同时可降低MDA含量和相对电导率。这说明ABA可以通过调控水稻抗氧化酶、可溶性糖等生理指标的活性及含量,进而提高冷敏水稻品种的耐冷性。