洪泽湖出入河流及湖体氮、磷浓度时空变化(2010—2019年)

基于2010-2019年洪泽湖湖体水质逐月监测数据,筛选出影响湖体水质的主要污染物指标为总氮（TN）和总磷（TP）;选取洪泽湖周边25条主要入湖河流和2条出湖河流在2019年10月2020年9月的监测数据,探讨河流外源性输入对不同湖体区域氮磷的影响及其水期变化规律.结果发现：①湖体TN、TP浓度长期居高不下,年均浓度范围分别在1.39~1.86、0.080~0.171 mg/L波动.主要入湖河流TN、TP时空平均浓度（1.92~5.70和0.114~0.181 mg/L）,均高于同区域湖体（1.15~1.46和0.088~0.101 mg/L）,其中北部入湖河流肖河、马化河和五河与临近湖区TN、TP浓度呈现显著正相关,是影响北部湖体TN、TP浓度的主要河流;南部入湖河流维桥河和高桥河是临近湖区非极端降雨期TN、TP的主要来源.②调水工程对湖体及入湖河流TN、TP浓度分布影响显著,调水期湖体沿调水方向TP浓度逐渐上升,TN浓度则呈现先降后升的趋势,南部入湖河流维桥河和高桥河TN浓度达到水期峰值,分别为10.69和9.90 mg/L.③极端降雨期入湖河流的TN、TP浓度显著高于其它水期,由于湖体对TN、TP的富集作用不同,TP浓度呈现中间高,四周低,而TN浓度呈现沿洪水流向逐渐降低的规律.     

输水对于桥水库水质时空变化的影响

研究输水对水库水质时空变化的影响有助于科学预测水体富营养化及防控水华暴发.本文以于桥水库为例,基于2011-2015年实测资料分析入库水质——水温、总氮（TN）、总磷（TP）与流量的相关关系;并以2012年为典型年,运用平面二维"水动力-水质"数学模型模拟库区水质变化随入库流量的响应关系.研究表明：（1）11月-次年4月水库水温受气温控制,入库与库区水温差异不明显;5-10月,非输水期库区上游水温最高,输水期入库温差随流量增大呈线性升高趋势,库区上游水温明显降低且出现谷值;（2）营养物（TN、TP）浓度变化规律全年基本一致,非输水期入库TN浓度高、TP浓度低,营养物在果河段汇集,库区营养物衰减浓度降低且浓度梯度平缓;输水期入库TN浓度随流量增大呈幂函数降低趋势、TP浓度呈线性升高趋势,营养物被输移至库区上游导致库区TN、TP浓度升高且浓度梯度增大;（3）库区水温谷值及TN、TP浓度峰值均滞后于果河流量变化,且库区南岸比北岸更易受果河来流影响污染更严重.     

阳澄湖入湖河道分类、污染特征分析及治理策略

为进一步揭示阳澄湖入湖河道的污染物来源,提出相应的治理对策,以2017—2021年阳澄湖入湖河道水质监测数据为基础进行分析讨论。依据入湖水量选取10条主要入湖河道进行分析,其中位于阳澄湖东岸的白曲港在七浦塘拓浚工程建成之前主导流向为出湖,工程建成后,通过Pearson相关分析证实了其流向与七浦塘引水时的水力关系,因此白曲港被选为主要入湖河道。采用距平系数法、系统聚类法和物元分析法将阳澄湖主要入湖河道分为3个类别:第1类别包括白荡、蠡塘河、北河泾、永昌泾4条河道,第2类别包括渭泾塘、界泾和施家斗港3条河道,第3类别包括南消泾、七浦塘和白曲港3条河道。使用因子分析法进行因子分析,第1类别河道的因子为高锰酸盐指数(CODMn)、氨氮(NH3-N)、溶解氧(DO)和总磷(TP),第2类别河道的污染因子为NH3-N、总氮(TN)、pH、TP和DO,第3类别河道的污染因子为pH、TP、TN和DO。通过对上游河道水质情况分析、文件研究以及实地调查等方式得出第1类别河道区域的污染源主要为工业污染源和生活污染源,第2类别河道区域污染源主要为工业污染源与种植业污染源,第3类别河道污染源主要为陆地水产养殖污...     

夏季滇池和入滇河流氮、磷污染特征

为探讨滇池入湖河流水体营养盐空间分布特征及其对滇池水体富营养化的影响,2014年7月采集了入滇4类典型河流(城市纳污型河流、城乡结合型河流、农田型河流、村镇型河流)及滇池水样,分析其氮、磷浓度.结果表明:4条入湖河流总氮(TN)、总磷(TP)、硝态氮和氨氮污染均较严重;河流水体中TN、TP平均浓度大小为:农田型河流(大河)村镇型河流(柴河)城乡结合型河流(宝象河)城市纳污型河流(盘龙江),其中农田型河流(大河)水体TN、TP污染最为严重;在夏季,4条入湖河流水体中TN、TP浓度从上游向下游增加趋势比较明显,表明氮、磷沿河流不断富集;氮磷比分析表明,夏季河流输入氮、磷营养盐有利于藻类的生长,并且滇池浮游植物生长主要受TN浓度限制;夏季滇池南部入湖河流水体的TN、TP浓度高于北部入湖河流,该特征与滇池水体中TN、TP污染分布状况相反,推测滇池北部富营养化的主要影响因素是内源释放.因此,在今后的滇池水体富营养化研究中,应对滇池内源释放进行深入研究.     

引水等综合整治后杭州西湖氮、磷营养盐时空变化(1985—2013年)

经引水等综合整治后,西湖外湖、西里湖总磷(TP)浓度累计下降58%和78%,总氮(TN)浓度累计下降16.7%和7.7%,透明度提高100%~200%,富营养状态得到极大缓解.比较1986年治理前,西湖各湖区因来水、引水和排水格局差异较大,TP浓度的年内变化特点及驱动因素也存在较大差异:杨公堤以西的上游湖区因优质水源补充TP浓度总体较低,同时受流域降雨径流面源输入影响,呈现时段性升高;杨公堤和苏堤之间的中游湖区优质水源补充量最大,湖区水体更新最快,TP浓度最低且变化相对最为稳定;苏堤以东的外湖区水体更新相对最慢,在夏、秋高温季节因底泥污染释放,TP浓度出现峰值.因外来引水量大且未经脱氮处理,西湖各湖区TN年内变化基本与钱塘江取水口TN浓度变化一致,同时因流域降雨径流面源输入而出现时段性波动.基于TP质量平衡模型分析,各湖区水质空间差异主要受水体年交换次数影响,其次受单位水体的年污染负荷影响.     

Spatial patterning of water quality in Biscayne Bay, Florida as a function of land use and water management

An objective classification analysis was performed on a water quality data set from 25 sites collected monthly during 1994-2003. The water quality parameters measured included: TN, TON, DIN, NH4+, NO3-, NO2-, TP, SRP, TN:TP ratio, TOC, DO, CHL A, turbidity, salinity and temperature. Based on this spatial analysis, Biscayne Bay was divided into five zones having similar water quality characteristics. A robust nutrient gradient, driven mostly by dissolved inorganic nitrogen, from alongshore to offshore in the main Bay, was a large determinant in the spatial clustering. Two of these zones (Alongshore and Inshore) were heavily influenced by freshwater input from four canals which drain the South Dade agricultural area, Black Point Landfill, and sewage treatment plant. The North Bay zone, with high turbidity, phytoplankton biomass, total phosphorus, and low DO, was affected by runoff from five canals, the Munisport Landfill, and the urban landscape. The South Bay zone, an embayment surrounded by mangrove wetlands with little urban development, was high in dissolved organic constituents but low in inorganic nutrients. The Main Bay was the area most influenced by water exchange with the Atlantic Ocean and showed the lowest nutrient concentrations. The water quality in Biscayne Bay is therefore highly dependent of the land use and influence from the watershed.     

Influences of watershed landscape composition and configuration on lake‐water quality in the Yangtze River basin of China

Lake‐water quality is highly dependent on the landscape characteristics in its respective watershed. In this study, we investigated the relationships between lake‐water quality and landscape composition and configuration within the watershed in the Yangtze River basin of China. Water quality variables, including pH, electrical conductivity (EC), dissolved oxygen (DO), Secchi depth (SD), NO₂^?, NO₃^?, NH₄⁺, TN, TP, chemical oxygen demand (COD_Mn), chlorophyll‐a (Chl‐a), and trophic state index (TSI), were collected from 16 lakes during the period of 2001–2003. Landscape composition (i.e. the percentage of vegetation, agriculture, water, urban, and bare land) and landscape configuration metrics, including number of patches (NP), patch density (PD), largest patch index (LPI), edge density (ED), mean patch area (MPA), mean shape index (MSI), contagion (CONTAG), patch cohesion index (COHESION), Shannon's diversity index (SHDI), and aggregation index (AI), were calculated for each lake's watershed. Results revealed that the percentage of agriculture was negatively related to NO₂^?, TN, TP, Chl‐a concentrations, and TSI, while the percentage of urban was significantly correlated with EC, NH₄⁺, and COD_Mn concentrations. Among landscape‐level configuration metrics, only ED showed significant relationships with TN, TP concentrations, and TSI. However, at the class level, the PD, LPI, ED, and AI of agriculture and urban land uses were significantly correlated with two or more water quality variables. This study suggests that, for a given total area, large and clustered agricultural or urban patches in the watershed may have a greater impact on lake‐water quality than small and scattered ones. Copyright © 2011 John Wiley & Sons, Ltd.     

金沙江下游梯级水库对氮、磷营养盐的滞留效应

氮、磷是水域重要的营养或污染物质,大型水库修建将对江河氮、磷物质的输运产生重要影响.以金沙江华弹、向家坝水文站2006-2016年实测水质资料为依据,通过建立污染物浓度与流量比值（TN/Q、TP/Q）与含沙量（S）的关系式,对金沙江下游溪洛渡、向家坝梯级水库蓄水前后进出库总氮（TN）、总磷（TP）浓度及通量的变化特征进行研究.结果表明：（1）华弹站不受蓄水影响,TN和TP浓度在0.38~1.41和0.01~0.73 mg/L之间变化,向家坝站蓄水前TN和TP浓度在0.32~1.33和0.03~0.42 mg/L之间变化,蓄水后在0.35~1.29和0.01~0.05 mg/L之间变化,蓄水后TN浓度较蓄水前略有升高,但TP浓度较蓄水前约降低75%;（2）蓄水前华弹站TN浓度与向家坝站基本接近,TP浓度总体低于向家坝站,蓄水后华弹站TN浓度低于向家坝站,TP浓度明显高于向家坝站;（3）金沙江TN以硝态氮（NO₃^--N）为主,占TN浓度的67.3%~91.8%;（4）两站的TN浓度随流量和含沙量变化较小,TP浓度与流量和含沙量均呈正相关关系;（5）华弹站TN、TP年通量在48357~135827和4720~14163 t之间变化,年均值分别为90337和8932 t,向家坝站蓄水前后TN年通量在64232~130966和71675~149647 t之间变化,蓄水后通量总体高于蓄水前,TP年通量在8851~18624和3131~7300 t之间变化,蓄水后通量远低于蓄水前;（6）水库蓄水对出库TN浓度与通量无明显影响,但TP浓度与通量较蓄水前明显降低,其中通量年均滞留率约为67.0%.     

梯级筑坝对黑河水质时空分布特征的影响

为探究梯级大坝建设对河流水质变化规律的影响,将黑河上中游划分为坝上河段、坝下河段及自然河段,于2017年12月-2018年8月选取了24个主要控制断面进行水质调查,并采用多元统计的方法对比分析了不同时空尺度上的水质分布特征.结果表明:黑河上中游水质时空变化的主要影响因子为水温(WT)、pH值、溶解氧(DO)、电导率(EC)、总氮(TN)、总磷(TP)和五日生化需氧量(BOD_5).空间尺度上,WT、EC、BOD_5、高锰酸盐指数(CODMn)、TN等指标具有显著性差异,其中坝上河段受BOD_5、CODMn影响较大,自然河段WT、EC和TN为关键指标,而各个因子对坝下河段水质影响较小.时间尺度上,WT、EC、BOD_5、氨氮与季节变化存在明显相关性,是不同河段水质时间变化的控制因子,且大多数水质因子在非汛期变化最明显.降水、温度、水文条件等季节性影响因素和梯级水库联合运用模式是该区域水质时间差异的主要原因;空间差异主要受祁连、张掖地区外源性污染物排放以及筑坝环境下水动力条件改变而产生的沉积滞留效应和沿程累积效应影响.研究表明,外源性污染源依然是导致水质变差的主要因素,梯级筑坝则是导致水质变差的间接因素.因此控制该区域人类活动所造成的外源性污染源,并针对不同种类污染物的季节变化特征实施合理的水库运行方式是改善水电梯级开发河段水质状况的关键.     

流域场镇发展下三峡水库典型入库河流水体碳、氮、磷时空特征及富营养化评价

流域场镇式发展是三峡地区城乡统筹发展的重要模式,通常形成河流两岸串珠状的场镇分布格局,这种人类活动的点状聚集特征对入库河流水环境的综合影响并不清楚.选择三峡库区流域场镇发展特征明显的黑水滩河及主要支流为研究对象,于2014年9月至2015年6月期间对流域内分布的主要场镇前后的水体进行碳、氮、磷浓度的监测分析,探讨场镇分布对流域水体生源要素时空格局的影响.研究结果表明,黑水滩河干、支流水体总有机碳(TOC)和溶解性有机碳浓度为4.5~39.2和3.2~31.4 mg/L,总氮(TN)、铵态氮和硝态氮浓度范围为1.12~6.96、0.87~5.00和0.073~0.881 mg/L,总磷(TP)、溶解性总磷和正磷酸盐浓度范围为0.078~0.454、0.049~0.310和0.025~0.222 mg/L,不同形态的碳、氮、磷含量变化幅度较大;黑水滩河干、支流流经不同场镇区前后,水体各形态碳、氮、磷浓度均不同程度增加(其中TOC、TN和TP的增幅范围分别为4.7%~61.3%、26.7%~144.7%和12.8%~50.7%),而在无场镇分布的干流河段,水体碳浓度变化不大,氮、磷浓度明显降低,表明水体生源要素的空间变异特征受到流域场镇分布格局与河流自净能力的双重影响,导致黑水滩河干流自上游向下游碳浓度呈“阶梯式”增长,氮、磷浓度呈“波动式”增长;相关分析显示,流域水体碳、氮、磷浓度均呈极显著的正相关关系,即场镇发展模式下河流水体污染物呈同步变化的趋势,表明山地河流流域内串珠状场镇发展模式导致从上游向下游水体污染物呈明显的累积效应,并进一步超出水体自净能力,造成下游水体恶化.河流碳、氮、磷浓度的季节变化主要受径流稀释作用影响,表现为夏秋季低、春季高的模式;富营养化综合指数表明,黑水滩河各监测断面全年属于富营养状态以上,表层水体氮污染严重,磷污染较轻;初步估算黑水滩河每年向三峡水库输入TOC、TN、TP通量达4057、1001和47 t,对三峡水库水环境安全具有严重威胁.三峡库区沿河串珠状场镇式发展形成了一种“点面”双重特征的污染模式,未来河流水环境污染防控中应予以关注.     

Analysis of stream water quality and estimation of nutrient load with the aid of Quick Bird remote sensing imagery

Abstract

Human activities have created high nutrient surpluses in agricultural lands due to the increasing rate of chemical fertilizer application and the increase in livestock production. To analyse the nutrient characteristics and estimate the nutrient load in streams, we conducted extensive field survey and water quality experiments from 2007 to 2008 in Koise River, a major river of the Lake Kasumigaura watershed, Japan. Water quality indicators of total nitrogen (TN), total phosphorus (TP) and total organic carbon (TOC) were investigated. The nutrient loads of TN, TP and TOC, as well as dissolved total nitrogen, dissolved inorganic nitrogen, dissolved organic nitrogen, particle organic nitrogen, dissolved total phosphorus, dissolved organic carbon and particle organic carbon were also estimated for the Koise River. Seasonal variation of the nutrient concentration from 2007 to 2008 was analysed considering the river discharge variation and agricultural activities. The results showed that the irrigation water from Lake Kasumigaura has the potential ability to decrease the TN concentration and increase the TOC concentration in the Koise River. Significant correlation coefficients between nutrient load and river discharge were found. The monthly pollution loads from different sources were then evaluated based on land cover classification generated from high-resolution Quick Bird remote sensing imagery. This study presents a useful interpretation of water quality data sets with a view to obtaining better information about water quality for more effective management of water resources in river basins.

Editor Z.W. Kundzewicz

Citation He, B., Oki, K., Wang, Y., Oki, T., Yamashiki, Y., Takara, K., Miura, S., Imai, A., Komatsu, K. and Kawasaki, N., 2012. Analysis of stream water quality and estimation of nutrient load with the aid of Quick Bird remote sensing imagery. Hydrological Sciences Journal, 57 (5), 850–860.     

珠江流域东江（东莞段）溶解氧时空变化及其影响因素

溶解氧是水生生态系统健康程度的重要度量指标,研究溶解氧时空变化及其影响因素对揭示河流溶解氧动态过程和理解水体生物地球化学循环具有重要意义.当前,许多河流均存在溶解氧偏低问题,严重影响河流水质.基于此,收集了珠江流域东江(东莞段)上游桥头、中游樟村和下游沙田泗盛3个水质监测站的实测资料,采用折线图和箱型图分析溶解氧在月、季节和年际时间尺度下的变化规律及其空间差异;采用最大信息系数、交叉小波转换和多元线性回归3种方法解析溶解氧时空变化的影响因素.结果表明:空间分布上,溶解氧浓度从上游到下游逐渐降低,低值区分布在入海口处的沙田泗盛站,多年平均溶解氧浓度仅为3.11 mg/L.时间变化上,2011-2019年溶解氧主要在11.64个月的周期下循环变化.溶解氧展现出明显的季节性.3个站点丰水期溶解氧浓度比枯水期分别降低1.68、2.03和1.77 mg/L.驱动因素上,溶解氧的时空变化受到多个因素的综合作用.桥头站和樟村站水质较好,水温是这两个站点溶解氧时空变化的主要影响因素.其主要在8～16个月的周期上调控溶解氧变化,在两个站点分别可以解释溶解氧整体变化的70%和57%.沙田泗盛站受多条支流汇...     

崇明岛"闸控型"河网水体富营养化特征及其影响因素

为研究崇明岛"闸控型"河网水体富营养化特征及其与环境因子的相互作用,以2010年各季节崇明岛河网水质数据为基础,探讨了环境因子与藻类的变化规律及其相互作用机制.结果表明:崇明岛河网水环境中营养盐水平较高,氮污染尤为严重.长江引水进入岛内河网水环境后,营养盐(除SiO₃-Si)、Chl.a含量和营养状态都出现了明显的升高.与长江引水相比,河网内藻类群落Chl.a贡献比例的变化主要表现为硅藻比例的下降以及蓝藻和绿藻比例的上升.尽管水温、pH、浊度以及营养盐中的TN、TP、NO₃^--N、DOC的变化均与Chl.a含量显著相关,但藻类群落对环境因子的响应关系存在较大差异.蓝藻的增加主要与水温和TP含量的升高有关;绿藻与TN、NO₃^--N的关系最为密切;硅藻的变化只与浊度存在明显正相关,营养盐并不是硅藻生长的促进因子.     

EVALUATION OF WATER AND SEDIMENT QUALITIES AT RIVER MOUTHS IN THE HAIHE RIVER SYSTEM

Water and sediment qualities are studied by analyzing samples taking from the mouths of the Haihe, Duliujian, New Ziya and Beipai rivers in the Haihe river basin in north China in 2005 and 2001, in order to find the changes of water and sediment pollutions. The concentrations of heavy metals, arsenic, total nitrogen (TN) and total phosphorus (TP) are analyzed and results have been compared for the two times. The in-situ measurement for Dissolved Oxygen (DO) and Sediment Oxygen Demand (SOD) rates were carried at the Haihe and Duliujian river mouths in 2006. The results show that the waters of the 4 river mouths are still seriously polluted, though much improved in the case of the Haihe and Duliujian rivers. The main pollutants are TP and TN in the New Ziya and Beipai rivers and mercury (Hg) at all 4 river mouths. Compared with those in 2001, the concentrations of almost all metals and arsenic in the 4 river mouths have decreased. Water quality at Haihe and Duliujian shows an improving trend, while the water quality at Beipai is similar to that of 2001. In contrast, water at the New Ziya river mouth is more severely polluted. The sediments in the 4 river mouths are not seriously polluted by heavy metals but are polluted by nitrogen and phosphorus. Most of the pollutant contents in the sediments show little change between 2001 and 2005. The in-situ DO and SOD measurement shows that the waters at the Haihe river mouth is in the state of oxygen depletion, and SOD is important consumer of DO at the river mouths. The overall analysis shows that increasing water pollution and eutrophication in waters far from cities are ongoing causes of concern.     

南京秦淮河叶绿素a空间分布及其与环境因子的关系

近年来,流动的河流开始陆续暴发藻类水华,河流的水华现象是继湖泊水华现象之后又一倍受关注的科学问题.秦淮河水体污染严重并于2010年8月和9月间暴发水华.采用2010年8月15日和9月8日的秦淮河野外调查数据,对秦淮河水体叶绿素a的空间分布特征及其与环境因子的相关关系进行研究.结果表明,从上游到下游,秦淮河水体叶绿素a含量的分布表现出一定的空间差异性,平均值为73.7μg/L,其中马木桥样点的叶绿素a含量最高(184.52μg/L);秦淮河水体氮磷比为26.86,水体叶绿素a浓度的对数与TP的对数呈正相关,与氮磷比的对数呈负相关,表明磷可能是秦淮河蓝藻生长的主要影响因子;河流水体叶绿素a浓度与pH和DO呈极显著正相关,与NO 2--N呈显著相关,而与NH 4+-N、NO 3--N和TN无显著相关.     

Effects of lakes and reservoirs on annual river nitrogen,phosphorus, and sediment export in agricultural and forested landscapes

Recently, effects of lakes and reservoirs on river nutrient export have been incorporated into landscape biogeochemical models. Because annual export varies with precipitation, there is a need to examine the biogeochemical role of lakes and reservoirs over time frames that incorporate interannual variability in precipitation. We examined long‐term (~20 years) time series of river export (annual mass yield, Y, and flow‐weighted mean annual concentration, C) for total nitrogen (TN), total phosphorus (TP), and total suspended sediment (TSS) from 54 catchments in Wisconsin, USA. Catchments were classified as small agricultural, large agricultural, and forested by use of a cluster analysis, and these varied in lentic coverage (percentage of catchment lake or reservoir water that was connected to river network). Mean annual export and interannual variability (CV) of export (for both Y and C) were higher in agricultural catchments relative to forested catchments for TP, TN, and TSS. In both agricultural and forested settings, mean and maximum annual TN yields were lower in the presence of lakes and reservoirs, suggesting lentic denitrification or N burial. There was also evidence of long‐term lentic TP and TSS retention, especially when viewed in terms of maximum annual yield, suggesting sedimentation during high loading years. Lentic catchments had lower interannual variability in export. For TP and TSS, interannual variability in mass yield was often >50% higher than interannual variability in water yield, whereas TN variability more closely followed water (discharge) variability. Our results indicate that long‐term mass export through rivers depends on interacting terrestrial, aquatic, and meteorological factors in which the presence of lakes and reservoirs can reduce the magnitude of export, stabilize interannual variability in export, as well as introduce export time lags. Copyright © 2013 John Wiley & Sons, Ltd.     

River water quality response under hypothetical climate change scenarios in Tunga‐Bhadra river,India

Analysis of climate change impacts on streamflow by perturbing the climate inputs has been a concern for many authors in the past few years, but there are few analyses for the impacts on water quality. To examine the impact of change in climate variables on the water quality parameters, the water quality input variables have to be perturbed. The primary input variables that can be considered for such an analysis are streamflow and water temperature, which are affected by changes in precipitation and air temperature, respectively. Using hypothetical scenarios to represent both greenhouse warming and streamflow changes, the sensitivity of the water quality parameters has been evaluated under conditions of altered river flow and river temperature in this article. Historical data analysis of hydroclimatic variables is carried out, which includes flow duration exceedance percentage (e.g. Q90), single low‐flow indices (e.g. 7Q10, 30Q10) and relationships between climatic variables and surface variables. For the study region of Tunga‐Bhadra river in India, low flows are found to be decreasing and water temperatures are found to be increasing. As a result, there is a reduction in dissolved oxygen (DO) levels found in recent years. Water quality responses of six hypothetical climate change scenarios were simulated by the water quality model, QUAL2K. A simple linear regression relation between air and water temperature is used to generate the scenarios for river water temperature. The results suggest that all the hypothetical climate change scenarios would cause impairment in water quality. It was found that there is a significant decrease in DO levels due to the impact of climate change on temperature and flows, even when the discharges were at safe permissible levels set by pollution control agencies (PCAs). The necessity to improve the standards of PCA and develop adaptation policies for the dischargers to account for climate change is examined through a fuzzy waste load allocation model developed earlier. Copyright © 2011 John Wiley & Sons, Ltd.     

Impact of environmental factors on water quality at multiple spatial scales and its spatial variation in Huai River Basin,China

Quantitative assessment of water quality and its spatial variation identification, as well as the discernment of primary factors affecting water quality are in its urgent in water environment management. In this study, four key water quality indicators,namely, ammonia nitrogen(NH_4~+-N), permanganate index(COD_(Mn)), total phosphorus(TP) and total nitrogen(TN) at 71 sampling sites were selected to evaluate water quality and its spatial variation identification. More concerns were emphasized on the anthropogenic factors(land use pattern) and natural factors(river density, elevation and precipitation) to quantify the overall water quality variations at different spatial scales. Results showed that the Yi-Shu-Si River sub-basin had a better water quality status than the Huai River sub-basin. The moderate polluted area nearly distributed in the upper and middle reaches of the Shaying River and Guo River. The high cluster centers which were surrounded with COD_(Mn), NH_4~+-N, TN and TP mainly also distributed in the upper and middle reaches of the Shaying River and Guo River. Redundancy analysis showed that the 200 m buffer area acted as the most sensitive area, which was easily subjected to pollution. The precipitation was identified as the most important variables among all the studied hydrological units, followed by farmland, urban land or elevation. The point source pollution was still existed although the non-point source pollution was also identified. The urban surface runoff pollution was severer than farmland fertilizer loss at the sub-basin scale in flood season, while the farmland showed "small-scale" effects for explaining overall water quality variations. This research is helpful for identifying the overall water quality variations from the scale-process interactions and providing a scientific basis for pollution control and decision making for the Huai River Basin.     

太湖流域上游平原河网区水质空间差异与季节变化特征

在太湖流域上游的宜溧—洮滆水系主要河道设置67个监测点,分别于2014年1月(冬季)、4月(春季)、8月(夏季)、11月(秋季)进行水质监测,采用多元统计方法分析了水质的空间差异性和季节性变化,并利用水质标识指数法对水环境质量进行评价.结果表明,宜溧—洮滆水系污染程度较严重,总氮(TN)、总磷(TP)和高锰酸盐指数(CODMn)浓度年均值分别为4.93、0.26和7.63 mg/L;单因素多元方差分析和聚类分析显示污染物浓度具有显著时空差异性,时间上冬、春季污染程度较高而夏、秋季较低,空间上无锡和常州氮、磷污染较为严重,宜兴和溧阳市有机污染程度较高;水质标识评价结果显示流域内水质基本为IV类或V类,其中TN、TP及CODMn是关键污染指标.     

Nutrient sources and composition of recent algal blooms and eutrophication in the northern Jiulong River,Southeast China

The natural process of eutrophication is accelerated by human activities worldwide that interrupt nutrient biogeochemical cycles. Three algal bloom events have been monitored in the northern tributary of the Jiulong River since 2009. The inflection points in a robust locally-weighted regression analysis (LOESS) of the relationship between TN and TP concentrations in the river water, and a TN:TP comparison with nutrient source loadings, suggested that both external loading and internal nutrient cycling contributed to these algal blooms. Nutrient release from the sediments may have played an important role in regulating the nutrients in the overlying water column. In particular, excessive nutrient inputs from various sources and ubiquitous river damming caused further accumulation of the nutrient loading. In-situ autochthonous primary production was enhanced in this relatively stable “river” to “lake” water body. Thus, attention must be paid to the effects of river damming and the consequent internal nutrient release.