Sludge concentration dynamic distribution and its impact on the performance of UNITANK

UNITANK is a biological wastewater treatment process that combines the advantages of traditional activated sludge process and sequencing batch reactor, which is divided into Tank A, B and C. In this study, the sludge distribution and its impact on performance of UNITANK were carried out in Liede Wastewater Plant （WWTP） of Guangzhou, China. Results showed that there was a strong affiliation between Tank A and B of the system in sludge concentration distribution. The initial sludge concentration in Tank A could present the sludge distribution of the whole system. The sludge distribution was mainly influenced by hydraulic condition. Unsteady sludge distribution had an impact on variations of substrates in reactors, especially in decisive reactor, and this could lead to failure of system. Settler could partially remove substrates such as COD and NO3-N, but there was adventure of sludge deterioration. The rational initial sludge concentration in Tank A should be 4000-6000 mg/L MLSS.     

Impacts of converting from leaded to unleaded gasoline on ambient lead concentrations in Jakarta metropolitan area

Total suspended particulate mater （TSP） concentrations were monitored for one year from July 2000 and for one year from April 2003 in Jakarta City. Thirteen elemental TSP components, aluminum （Al）, sodium （Na）, iron （Fe）, lead （Pb）, potassium （K）, zinc （Zn）, titanium （Ti）, manganese （Mn）, bromine （Br）, copper （Cu）, chromium （Cr）, nickel （Ni）, and vanadium （V） were analyzed by a sequential X-ray fluorescence spectrometer. Al, Na, Fe, K, and Pb were major components at most of the sampling locations in 2000. However, only Pb in 2003 dramatically decreased to one tenth. The phase-out of leaded gasoline began on July 1, 2001 in Jakarta City and lead content in gasoline decreased to one tenth, too. The decrease in Pb concentration was a result of the phase-out of leaded gasoline, as lead emissions mainly are exhaust gas from vehicles.     

鄱阳湖湿地土壤-植物-地下水稳定氧同位素组成分析

近年来,鄱阳湖水位持续走低,极端干旱事件频繁发生,湿地生态系统结构与功能遭受破坏。为此,于2014年鄱阳湖湿地保护区两个断面分层采集0~100 cm土壤,并采集优势种植物和河湖水以及地下水数据,运用稳定同位素技术,分析了土壤-植物-河湖水-地下水稳定同位素变化特征,并探寻它们之间的补给关系。结果表明,两断面土壤水氧同位素变化范围分别为–10.48‰~–5.23‰和–12.39‰~–6.55‰,算术平均值分别为–8.36‰和–8.63‰。断面一表层(0~30 cm)土壤水氧重同位素较富集,且随深度增加而减小;断面二表层(0~40 cm)土壤水中氧同位素组成基本无变化。断面一的地下水主要是受降水补给,断面二可能是受降水和河湖水共同补给。鄱阳湖湿地两断面优势种植物虉草叶片水的氧同位素值最大,为–0.9‰,其次是灰化苔草和芦苇,分别为–4.23‰和–5.25‰。     

基于水量分配方案的抚河流域最小控制需水量研究

鄱阳湖流域水资源丰富,在非汛期尤其是用水高峰期,存在供需水矛盾和河道外用水挤占河道内用水现象。基于水量分配方案,以控制断面为节点,考虑河道外需水,兼顾河道内生态环境需水,系统提出计算流域控制断面最小控制需水量方法。在此基础上,以抚河流域为例,把流域划分为12个控制断面,分别为沙子岭、黎川、南城、洪门、廖坊、石门、廖家湾、娄家村、马圩、焦石、柴埠口和李家渡,各断面的最小控制需水量分别为740、380、2873、1200、4981、261、5085、7168、050、10894、1556 和1030 m3/s。通过水文监测控制流域断面流量,为落实水量分配方案、保护流域水环境和维持河流生态系统健康提供保障。同时,以最小需水量并与实测流量比较,确定各用水区余缺水量,为实施流域非汛期水量调度提供依据     

南京市2000~2014年城市建设用地变化及驱动因子研究

基于土地利用模型测度2000~2014年南京市城市建设用地的动态变化,再运用典型相关分析、主成分分析及逐步回归分析组合的偏最小二乘回归法对南京市城市建设用地的驱动因子进行分析。结果表明：（1）2000~2014年南京市城市建设用地面积总体上呈上升趋势,年均增长率为11.73%;（2）南京市用地结构信息熵呈波动下降趋势,城市建设用地系统结构性增强,但是用地扩展的综合效益趋降;（3）人口增长、道路扩展、投资水平提高及文化产业发展等能够较好的解释南京市城市建设用地的增长,这4类因子对城市建设用地变化具有正向作用;（4）逐步线性回归结果表明,园林绿地面积的增加相对其他因子对南京市建设用地规模增长的作用最大,其次是道路长度和公路里程。     

基于不透水表面指数的城市扩张趋势及驱动机制分析——以南京市为例

城市扩张趋势及驱动机制研究存在两大难题:(1)传统景观数据的混合像元问题影响城市扩张趋势研究的准确性;(2)城市扩张驱动因子的共线性问题影响驱动机制研究结论的可靠性.针对上述问题,以南京市为例,利用不透水表面分析结果,采用不透水面加权平均重心分析、线性方向均值分析及标准差椭圆分析方法开展2000～2017年城市扩张趋势研究,并利用偏最小二乘回归分析方法对城市扩张驱动机制开展定性及定量分析.结果表明:南京市整体上表现为多中心非同步的蔓延式扩张;2000～2017年的3个时间跨度内,南京市整体的不透水表面扩张速度不断增长,年均不透水表面加权平均重心转移距离分别为303,379,611 m,全市尺度上往顺时针偏北259.12.方向转移2 564 m,具体到各辖区,重心转移距离存在较大差异;城市扩张的外部形态特征具有明显的方向性,2000、2005、2010以及2017年4个时期,不透水表面的标准差椭圆扁率均在2.232以上,主要表现为南北向扩张,各辖区扩张方向性不同;城市外部空间特征及发展战略、河流水系及自然保护区分布、土地利用规划等因素表现为对城市扩张方向的约束和限制作用;第二产业从业人员数量、人口密度、第三产业固定资产投资额、地区生产总值、城乡人均可支配收入等因素成为影响城市扩张规模的主要因素.     

运动消耗对草鱼幼鱼游泳能力的影响

以草鱼幼鱼（体长80~97 cm,体重96~134 g）为研究对象,采用实验室专利装置研究了不同运动消耗状态下的草鱼幼鱼游泳能力。结果表明：在正常状态下草鱼幼鱼的临界游泳速度[WTBX]（Ucrit）为711±060 BL/s,耗氧率（MO2）与流速（U）方程拟合为MO2=4705+419U123,耗氧率随着流速的增大而增大,且草鱼的有氧运动效率较高。在4种运动消耗状态（06Ucrit、08Ucrit、10Ucrit、12Ucrit）流速下运动1 h草鱼的消耗后临界游泳速度（Upcrit）分别为：725±135、633±06、626±08、560±04 BL/s,临界游泳速度随着前期消耗流速的增大而减小,相应的耗氧率方程拟合为：MO2=38269+465U144,MO2=44526+4223U146,MO2=46611+4790U149,MO2=60034+3883U151。运动消耗会导致草鱼的有氧运动效率降低,同时随着运动消耗速度的增加有氧运动效率随之降低。研究结果认为在设计以草鱼为主要过鱼对象的过鱼设施时,鱼道内的流速不应大于08Ucrit,以使鱼类顺利通过。针对不同过鱼对象游泳特性进行设计的鱼道能够提高鱼类通过鱼道的效率     

基于地面监测数据的2013~2015年长三角地区PM2.5时空特征

近年来,长三角地区灰霾天气持续增多,空气细颗粒物污染问题日益突出。基于2013年1月至2015年5月长三角地区及周边缓冲区内共214个空气质量监测站点PM_2.5逐时监测数据,运用普通克里金插值方法,从年、季、月尺度上分析了PM_2.5的空间分布格局和时间动态变化。结果表明:(1)2 a来,长三角地区PM_2.5浓度空间分布明显呈现整体北部高南部低,局部地区略有突出的分布特征;长三角地区PM_2.5浓度年均值为57.08μg/m³;其中,江苏省PM_2.5的年均值为三省市最高,为65.84μg/m³;其次为上海市,年均值为53.87μg/m³;浙江省PM_2.5的年均值较小,为51.53μg/m³。(2)从季节尺度分析,长三角地区PM_2.5浓度变化表现出冬春季高,夏秋季低的变化趋势;这与区域内冬季风向来源、降水稀少、气象扩散条件差有着密切的关系; (3)长三角地区月浓度变化大致呈U形分布; 12月份PM_2.5浓度最高; 3月份以后, PM_2.5浓度开始呈逐步下降趋势;在5~9月份,区域PM_2.5处于"U"字的谷底,其中6月份夏收时期秸秆焚烧、气象等因素导致PM_2.5浓度有略微升高;进入10月份后迅速攀升,且11、12月份呈现持续升高态势。     

2种反应器中好氧颗粒污泥培养的比较研究

以絮状活性污泥为接种污泥,采用人工配制的模拟生活污水,分别在气提式序批反应器(SBAR)和序批式活性污泥反应器(SBR)中成功地培养出了成熟的好氧颗粒污泥.SBAR和SBR中的好氧颗粒污泥都具有稳定的基本形态结构,其微生物主要由杆菌和球菌组成,对COD的去除率可达到93%左右.对NH+4-N的去除率可达到98%以上.SBAR中好氧颗粒污泥的粒径主要分布、污泥体积指数(SVI)、比耗氧速率(SOUR)、TN去除率和TP去除率分别为0.45～2.00 mm、19.97 mL/g、47.68 g/(kg·h)、82%和65%;而SBR中好氧颗粒污泥的粒径主要分布、SVI、SOUR、TN去除率和TP去除率分别为0.18～1.00 mm、29.12 mL/g、43.21 g/(kg·h)、58%和50%.相对而言,SBAR更有利于好氧颗粒污泥的培养和运行.     

Profile of Methane Concentrations in Soil and Atmosphere in Alpine Steppe Ecosystem on Tibetan Plateau

The methane concentration profile from -1.5m depth in soil to 32m height in air was measured in alpine steppe located in the permafrost area. Methane concentrations showed widely variations both in air and in soil during the study period. The mean concentrations in atmosphere were all higher than those in soil, and the highest methane concentration was found in air at the height of 16m with the lowest concentration occurring at the depth of 1.5m in soil. The variations of atmospheric methane concentrations did not show any clear pattern both temporally and spatially, although they exhibited a more steadystable state than those in soil. During the seasonal variations, the methane concentrations at different depths in soil were significantly correlated （R^2〉0.6） with each other comparing to the weak correlations （R^2〈0.2） between the atmospheric concentra- tions at different heights. Mean methane concentrations in soil significantly decreased with depth. This was the compositive influence of the decreasing production rates and the increasing methane oxidation rates, which was caused by the descent soil moisture with depth. Although the methane concentrations at all depths varied widely during the growing season, they showed very distinct temporal variations in the non-growing season. It was indicated from the literatures that methane oxidation rates were positively correlated with soil temperature. The higher methane concentrations in soil during the winter were determined by the lower methane oxidation rates with decreasing soil temperatures, whereas methane production rates had no reaction to the lower temperature. Relations between methane contribution and other environmental factors were not discussed in this paper for lacking of data, which impulse us to carry out further and more detailed studies in this unique area.