首页 | 本学科首页   官方微博 | 高级检索  
相似文献
 共查询到19条相似文献,搜索用时 140 毫秒
1.
太湖地区西苕溪流域营养盐污染负荷结构分析   总被引:6,自引:0,他引:6  
污染负荷研究是实施污染物总量控制、保护水质的基础,由于非点源污染一直是水环境研究的一个难题,致使河流污染负荷估算缺乏合理的估算方法.本项研究针对太湖的富营养化问题,选取太湖上游西苕溪流域,采用GIS的流域分析方法,选取单一土地利用类型的小流域,分析流域土地类型与径流量及流域出口浓度的统计关系,获取不同土地利用类型营养盐污染的产出率,合理估算了西苕溪流域的非点源营养盐污染负荷,并根据西苕溪流域社会经济统计数据及已有的污染产出率研究成果,估算了西苕溪的点源营养盐污染负荷,在此基础上估算了西苕溪流域的营养盐污染总负荷量,分析了不同污染源在总负荷量的比例.最后通过比较估算的总负荷量与实测负荷量,计算了西苕溪流域河网体系对营养盐的降解能力.研究得出, 林地产出径流浓度总氮0.715mg/L、总磷0.039mg/L,耕地产出径流浓度总氮为2.092mg/L, 总磷0.166mg/L,西苕溪流域总氮负荷量为3143.43t/a,非点源污染负荷量为1589.52t/a;总磷负荷量为226.32t/a,非点源为108.36t/a,西苕溪流域河网体系对总氮、总磷的年降解率分别为 35.39%、21.48%.  相似文献   

2.
范雅双  于婉晴  张婧  李雪  李小玉 《湖泊科学》2021,33(5):1478-1489
景观格局演变作为人类活动的综合表征,通过改变水文过程和径流路径,从而影响非点源污染物的发生位置、迁移路径和转化过程,进而对流域水环境产生深刻影响.苕溪作为太湖的主要入湖河流之一,对太湖水环境有着关键的影响作用.本文以发源于杭州市临安区太湖源镇的东苕溪上游区域作为研究对象,在对河流水质进行两个时期监测的基础上,运用相关性分析、冗余分析和逐步回归分析等方法,综合景观组分指数和景观空间配置指数,在子流域尺度上量化景观指数对河流不同水质指标的解释能力,探讨河流水质对流域景观格局的响应规律.结果表明:1)东苕溪上游大部分监测点总氮浓度远超地表水V类水质标准限值,但氨氮和总磷浓度整体较低,部分监测点可达Ⅰ类水质标准.2)在汛期,景观组成中流域的"源"景观比例是影响水质的重要因素,农业用地占比与硝态氮、总氮浓度呈显著正相关,建设用地占比对氨氮、总磷浓度影响显著;而在非汛期,景观配置因子,特别是表征斑块形状的周长—面积分形维数(PAFRAC)对河流水质的影响极显著.3)无论是汛期还是非汛期,林地和草地对河流中污染物均具有显著的削减作用,是流域河流污染防治的关键"汇"景观.4)从整体上来看,河流氮、磷污染与人类活动强度密切相关,增加景观连通性、降低自然景观的破碎化程度可有效改善河流水环境.  相似文献   

3.
基于1988-2013年的洱海流域社会经济统计数据与湖内水质历史监测数据,分析了社会经济指标和富营养化指标的逐年变化趋势,并借助Change-point Analyzer对指标进行了拐点分析.结果显示:过去25年洱海水体呈明显富营养化趋势,主要富营养化指标均出现过1次恶化拐点,总磷出现时间最早(1996年),其次是高锰酸盐指数(1999年),总氮、叶绿素a、透明度和综合营养状态指数则集中在2002-2003年期间出现拐点,叶绿素a浓度上升10余倍,透明度相应下降了近50%.流域主要社会经济指标出现了2~3次增长拐点,首次拐点集中出现在1994-1999年期间,明显早于富营养化指标恶化拐点出现时间.多元回归分析显示洱海总磷浓度受流域农作物种植业发展影响最大,其他水质指标则主要受流域畜牧业的影响.  相似文献   

4.
2005-2014年乌梁素海湖泊水质变化特征   总被引:7,自引:2,他引:5  
为了确定乌梁素海湖泊水质变化特征,选取乌梁素海2005-2014年6-9月长序列的水质实测数据,分析溶解氧、化学需氧量、总氮、总磷及氟化物的年际变化特征.采用灰色模式识别模型对乌梁素海2005-2014年的水质进行评价,并结合乌梁素海的实际状况,从外源污染、入湖污染物负荷量及入湖水量3个方面对其水质变化的影响因素进行分析.结果表明:2005-2014年间,水质状况转好;除总磷外,各污染指标浓度均有不同程度的下降;灰色综合指数表明乌梁素海水质正向良性方向发展;总磷治理应成为乌梁素海污染治理的主要方面;外源污染的削减、入湖污染物负荷量的降低及入湖水量的增加是乌梁素海水质转好的主要影响因素.  相似文献   

5.
云南星云湖水质变化及其人文因素驱动力分析   总被引:1,自引:0,他引:1  
星云湖目前存在水污染加重、富营养化进程加快、水体功能受损等问题.以星云湖为研究对象,根据星云湖2005-2015年的水质数据、社会经济统计数据和遥感影像图,运用目视解译、叠加分析、污染足迹模型及主成分分析法,分析了星云湖流域近10年以来水质变化趋势、入湖河流污染物污染足迹及其人文因素驱动力.结果表明:(1)水质数据趋势表明,从月变化看,3月份水质最好,9月份水质最差;从年变化看,2005-2015年间,2008年水质状况最好,2014年的水质状况最差,从2008-2014年水质持续变差,到2015年好转.(2)2015年有机物、氮和磷的污染足迹分别为583.26、705.88和494.11 km~2.污染足迹前4位的入湖河流依次为:大街河东西大河东河渔村河东西大河西河,占星云湖流域总污染足迹的66.21%.污染程度大的大街河、东西大河和渔村河周边土地利用类型为水田、旱地和村庄.(3)星云湖水质影响因素第1主成分(总人口、播种面积、农村人口、化肥使用量、农膜使用量、大牲畜存栏量)与农村生活和农业面源污染有关;第2主成分(人均GDP、第一产业产值、第二产业产值、第三产业产值)与社会经济发展有关.因此,星云湖流域水质变化的人文因素驱动力为农村生活和农业面源污染类和社会经济发展类,其中第1主成分的贡献率是84.389%,农村生活和农业面源污染是水质变化的主要驱动力.  相似文献   

6.
三峡工程运行前后洞庭湖水质变化分析   总被引:2,自引:1,他引:1  
张光贵  王丑明  田琪 《湖泊科学》2016,28(4):734-742
为了解三峡工程运行前后洞庭湖水质变化,基于1996 2013年洞庭湖水质监测数据,采用内梅罗污染指数(IP)法对三峡工程运行前后洞庭湖水质进行评价,并对洞庭湖水质与主要污染物的时空变化特征进行分析.结果表明,1996 2013年洞庭湖IP值在1.10~2.20之间,平均值为1.63,水质属轻污染~污染,总体变化平稳,但从2010年起,洞庭湖IP值连续低于其多年平均值,总体水质趋好;主要污染物为总磷和总氮,总磷浓度变化平稳,总氮浓度则呈显著上升趋势.与三峡工程运行前相比,三峡工程运行后洞庭湖全年和汛期总氮浓度以及南洞庭湖IP值和总氮浓度显著升高,南洞庭湖水质显著恶化.洞庭湖IP值和总磷浓度的水期分布格局均由三峡工程运行前的汛期非汛期变化为三峡工程运行后的非汛期汛期,其空间分布格局均由三峡工程运行前的西洞庭湖东洞庭湖南洞庭湖变化为三峡工程运行后的西洞庭湖南洞庭湖东洞庭湖;从2010年起,洞庭湖IP值的空间分布格局发生新的变化,其大小顺序变化为东洞庭湖南洞庭湖西洞庭湖.三峡工程运行前后洞庭湖IP值与总磷浓度的时空变化与其水沙条件变化有关,总氮浓度的空间分布受三峡工程运行影响较小,主要受湘江、资水等"四水"流域氮污染的影响.  相似文献   

7.
2007年以来环太湖22条主要河流水质变化及其对太湖的影响   总被引:11,自引:7,他引:4  
易娟  徐枫  高怡  向龙  毛新伟 《湖泊科学》2016,28(6):1167-1174
随着现代经济的迅速发展,太湖流域污染问题日益严重.为了解太湖湖区以及入湖河流的水质变化趋势,分析两者之间的关系,本文选取太湖湖区以及环太湖22条主要入湖河流2007-2014年水质监测资料,按行政区划分析22条主要入湖河流的氨氮、高锰酸盐指数、总磷和总氮浓度变化趋势以及其与太湖水质关系.结果显示,江苏省境内河流2007年以来污染物浓度普遍高于浙江省,但主要入湖河流总体上呈好转趋势,并且河流各指标的浓度变化与太湖的水质变化密切相关,验证了河道污染物输入作为太湖主要的污染物外源,直接影响太湖水质的变化,指出对入湖河流污染物的控制是缓解和治理太湖污染输入的重要途径.  相似文献   

8.
太湖西苕溪流域径流过程的模拟   总被引:4,自引:1,他引:4  
张奇  李恒鹏  徐力刚 《湖泊科学》2006,18(4):401-406
西苕溪是太湖集水域的一个主要流域,研究西苕溪流域径流过程及污染物产出对了解太湖水文水质变化以及开展周围其它流域研究工作具有重要意义.作为研究的第一步,采用集总式模型LASCAM建立了西苕溪流域径流模型.以流域内2个水文观测站1968-1988年日径流观测数据对模型作了率定.率定效果满意,模拟日、年径流量与观测值吻合良好.在流域资料不够充分的情况下,模型能获得较为理想的模拟效果,说明所采用的模型适用于数据不足区域.模拟还揭示,西苕溪流域径流产生可能以饱和地面径流机制为主.近河道浅层饱和土体的水位与降雨量相关性好,呈现出明显的日波动周期;而深层地下水位呈年波动周期,在旱季和雨季,水位呈明显的降落和上升趋势.这些发现为进一步细化径流模型以及建立污染物输移模型奠定了基础.  相似文献   

9.
土地利用/覆被变化对明晰气候变化和人类活动对湖泊水环境的影响有重要作用.以北方典型农牧交错的岱海流域为研究对象,基于遥感解译技术、马尔可夫转移矩阵、综合污染指数法等方法,对2000-2018年岱海流域土地利用/覆被和湖泊水质的变化进行分析,并结合冗余分析法和计量分析模型探究长时间序列尺度下土地利用/覆被变化对湖泊水质的影响.结果表明:近20年来,岱海流域的土地利用/覆被类型以耕地和草地为主,其变化特征主要是草地和林地转化为耕地,水域转化为季节性河流,岱海转化为内陆滩涂、沼泽草地和灌丛沼泽;岱海湖泊水质因子高锰酸盐指数、五日生化需氧量、总磷和总氮浓度存在不同程度的超标现象;岱海、湿地、林地对水质具有积极的改善作用,耕地、草地、建设用地是加剧水质污染的主要原因.该研究为岱海湖泊流域土地资源合理利用、湖泊水质改善和生态保护提供了一定的科学理论依据.  相似文献   

10.
近200年来黑河下游天鹅湖湖泊沉积记录的环境变迁   总被引:12,自引:2,他引:12  
根据2002-2004年洞庭湖水质监测数据,参照GB3838-2002中Ⅲ类水质标准,选用内梅罗水污染指数法和黄浦江污染指数对洞庭湖水质现状进行评价,结果表明:(1)洞庭湖水体的主要污染指标是总磷,总氮和粪大肠菌群;(2)黄浦江污染指数平均值为0.27,所以洞庭湖12个断面水质无黑臭现象发生;(3)枯水期西洞庭湖和南洞庭湖水质污染最严重,平水期西洞庭湖水质污染最严重,洞庭湖丰水期的污染程度小于平水期;(4)洞庭湖的大部分水体的水质主要处于轻度污染的状态,局部水体的水质在枯水期达到重污染的状态.  相似文献   

11.
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.  相似文献   

12.
The spatial and temporal patterns of water quality in Kuwait Bay have been investigated using data from six stations between 2009 and 2011. The results showed that most of water quality parameters such as phosphorus (PO4), nitrate (NO3), dissolved oxygen (DO), and Total Suspended Solids (TSS) fluctuated over time and space. Based on Water Quality Index (WQI) data, six stations were significantly clustered into two main classes using cluster analysis, one group located in western side of the Bay, and other in eastern side. Three principal components are responsible for water quality variations in the Bay. The first component included DO and pH. The second included PO4, TSS and NO3, and the last component contained seawater temperature and turbidity. The spatial and temporal patterns of water quality in Kuwait Bay are mainly controlled by seasonal variations and discharges from point sources of pollution along Kuwait Bay’s coast as well as from Shatt Al-Arab River.  相似文献   

13.
为了解太湖流域上游支流水体的营养状态特征及流域附近土地利用对水质的影响,选取了入湖水系西苕溪的10条主要支流进行了野外采样和实验室研究.研究结果表明,支流总磷(TP)、颗粒磷(PP)、总溶解性磷(TDP)、总氮(TN)、铵态氮(NH+4-N)、硝态氮(NO-3-N)含量季节间差异较大,TP含量范围为0.033~0.205 mg/L,PP含量范围为0.007~0.104 mg/L,TN含量范围为2.014~5.921 mg/L,NH+4-N含量范围0.021~1.659 mg/L,NO-3-N含量范围1.082~3.415mg/L,COD范围为6.5~15.5 mg/L.总体上呈现为枯水期平水期丰水期.部分支流受到不同程度的氮污染.利用水质参数进行聚类分析,可以将10条支流分成4类,其水体营养特征与周围环境相联系.支流营养盐、COD的通量明显受流量控制,表现为丰水期平水期枯水期.土地利用类型的差异是导致其水质变化的主要原因,耕地和居民地主要起源的作用,林地和草地主要起汇的作用.在丰水期和枯水期,对各指标影响最大的土地利用类型为耕地和林地;在平水期,对TP影响最大的是居民地,而对TN影响最大的是林地.  相似文献   

14.
Water quality assessment is key to the conservation and management of rivers. River Saraswati, a distributary of the river Ganga, serves as a lifeline to many villages in the district Hooghly in West Bengal, India. As the river is gradually dying due to diverse man-made pollution, ten water quality parameters in two sampling spots (PR-1 and PR-2) in the river are monitored month-wise from March 2017 to February 2020,  and these are compared with those from a reference pond. The water quality index (WQI) is determined for the two riverine spots and the reference pond based on the Canadian Council of Ministers of Environment WQI (CCMEWQI) and weighted arithmetic WQI, respectively. In addition to actual observations, three different forecasting methods, exponential smoothing, autoregressive integrated moving average, and artificial neural network, are used to predict WQI for the next two years. This study indicates that free CO2, dissolved oxygen, and turbidity are the key parameters to evaluate this river's anthropogenic stress and health. The actual and forecasted results reflect the precipitous degradation of CCMEWQI in PR-2. Therefore, the immediate intervention of all stakeholders is required to adopt an integrated and comprehensive river management plan to save the river from utter obliteration.  相似文献   

15.
梯级筑坝对黑河水质时空分布特征的影响   总被引:1,自引:0,他引:1  
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.  相似文献   

16.
Yonghui Yang  Fei Tian   《Journal of Hydrology》2009,374(3-4):373-383
Runoff in Haihe River Catchment of China is steadily declining due to climate change and human activity. Determining abrupt changes in runoff could enhance identification of the main driving factors for the sudden changes. In this study, the sequential Mann–Kendall test analysis is used to determine abrupt changes in runoff in eight sub-catchments of Haihe River Catchment, while trend analysis via the traditional Mann–Kendall test for the period 1960–1999 is used to identify the basic trend of precipitation and runoff. The results suggest an insignificant change in precipitation and a significant decline in runoff in five of the eight sub-catchments. For most of the sub-catchments, abrupt changes in runoff occurred in 1978–1985. Through correlation comparisons for precipitation and runoff for the periods prior to and after abrupt runoff changes, human activity, rather than climatic change, is identified as the main driving factor of runoff decline. It is also noted that abrupt decline in runoff was actually at the beginning of China’s 1978–1985 land reform. Given that the land reform motivated farmers to productively manage their reallocated lands, agricultural water use therefore increased. Hence percent agricultural land is analyzed in relation to land use/cover pattern for the late 1970s and early 1980s. The analysis shows that when cultivated farmland exceeds 25% of a sub-catchment area, an abrupt decline in runoff occurs. It is therefore concluded that high percent agricultural land and related agricultural water use are the most probable driving factors of runoff decline in the catchment.  相似文献   

17.
Predicting ground water nitrate concentration from land use   总被引:10,自引:0,他引:10  
Gardner KK  Vogel RM 《Ground water》2005,43(3):343-352
Ground water nitrate concentrations on Nantucket Island, Massachusetts, were analyzed to assess the effects of land use on ground water quality. Exploratory data analysis was applied to historic ground water nitrate concentrations to determine spatial and temporal trends. Maximum likelihood Tobit and logistic regression analyses of explanatory variables that characterize land use within a 1000-foot radius of each well were used to develop predictive equations for nitrate concentration at 69 wells. The results demonstrate that historic nitrate concentrations downgradient from agricultural land are significantly higher than nitrate concentrations elsewhere. Tobit regression results demonstrate that the number of septic tanks and the percentages of forest, undeveloped, and high-density residential land within a 1000-foot radius of a well are reliable predictors of nitrate concentration in ground water. Similarly, logistic regression revealed that the percentages of forest, undeveloped, and low-density residential land are good indicators of ground water nitrate concentration > 2 mg/L. The methodology and results outlined here provide a useful tool for land managers in communities with shallow water tables overlain with highly permeable materials to evaluate potential effects of development on ground water quality.  相似文献   

18.
Riparian land use is a key driver of stream ecosystem processes but its effects on water quality are still a matter of debate when proposing measures to improve freshwater quality. The aim of this study was to examine the influence of riparian land use on stream habitat and water chemistry, and to assess in what extent stream habitat also affects water quality. To that end, we selected eight reaches in the Ave River basin (northwestern Portugal) and compared longitudinal variations in water chemistry and stream habitat between reaches with different land use (urban, agricultural and natural), and between reaches with natural riparian areas and different habitats. Stream habitat was assessed using the Fluvial Functional Index, the HABSCORE, and the Riparian Forest Quality Index. Longitudinal variations in water chemistry were determined measuring differences in concentrations of ammonium, nitrate, phosphate and oxygen, and conductivity, pH and temperature between the downstream and the upstream ends of each reach. Nitrate concentration tended to decrease along reaches with more natural riparian areas and to increase along reaches with more urban and agricultural land uses. Longitudinal variations in water chemistry also differed between reaches with natural riparian areas, suggesting that water quality also depends on stream habitat. Moreover, longitudinal variation in water chemistry was proven a simple, useful and low-cost approach to assess the influence of land cover and stream habitat on water quality. Overall results demonstrated that both riparian land use and stream habitat influence water quality and that riparian forests are essential to reduce nutrient export to downstream ecosystems.  相似文献   

19.
This paper presents the results of the statistical analysis of a set of physico-chemical and biological water quality parameters, monthly collected from 2000 to 2007 in the Genoa Harbour area (Ligurian Sea). We applied multivariate methods, such as principal component analysis (PCA) and dynamic factor analysis (DFA) for investigating the spatial and temporal variability and for providing important background information on pollution problems in the region. PCA evidenced the role of the sewage and river discharges and of the exchanges with the open sea in determining the harbour water quality. DFA was used to estimate underlying common trends in the time series. The DFA results partly show a general improvement of water quality over the 8-years period. However, in other areas, we found inter-annual variations but no significant multi-annual trend. Furthermore, we included meteorological variables in our statistical analyses because of their potential influence on the water quality parameters. These natural forcings explain part of the variability in water quality parameters that are superimposed on the dominating anthropogenic pollution factors.  相似文献   

设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号