Nitrogen and phosphorus budget in coastal and marine cage aquaculture and impacts of effluent loading on ecosystem: review and analysis towards model development

Being an essentially open system, cages are usually characterized by a high degree of interaction with environment and cage systems are highly likely to produce large bulk of wastes that are released directly into the environment. Therefore, large-scale cage aquaculture development has been put into question and concerns have been raised that cage aquaculture produces large bulk of wastes that are rich in organic matter and nutrients and are released into coastal and nearshore environment. Recent information on cage aquaculture nutrient budget is scarce and most published reports are dated. This paper reviews cage aquaculture nutrient budget and nutrient loadings and propose a model for nutrient (nitrogen, N and phosphorus, P) budget in a hypothetical cage aquaculture farm with values of feed loss, FCR (feed conversion ratio) and nutrient contents in feed and fish taken from published literature in order to calculate the amount (kg) of N and P produced and released to the environment for each ton of fish produced. The paper proposes, in addition, a critically analyzed nutrient budget based on the dry matter conversion rate instead of the usual feed conversion rate. The conceptual model shows that 132.5 kg N and 25.0 kg P are released to the environment for each ton of fish produced; these values are as high as 462.5 kg N and 80.0 kg P when calculated on the basis of dry matter conversion rate instead of usual feed conversion rate. Thus, the annual global N and P loadings from cage aquaculture (10,000 tons fish and 3000 tons dry matter) are 1325 tons N and 250 tons P and 1387.5 tons N and 240.0 tons P based on usual feed conversion rate and dry matter conversion rate respectively. The paper also proposes, by analyzing the existing data, an FCR-based regression model for predicting nutrient loadings for a given diet. Finally, attempt was made to calculate the annual global loading and release of N and P from cage aquaculture to the coastal and marine environment, the potential impacts of nutrient loading on the ecosystem were discussed and critical points to be considered for minimizing nutrient output in cage aquaculture were suggested.     

1988-2018年滇池氮磷比的时空演变特征与原因解析

氮、磷浓度是制约湖泊营养状态和生产力水平的重要环境因子,而氮磷化学计量比是湖泊生态系统的主要指标,因此,判识氮磷比变化趋势及其驱动力对湖泊生态恢复具有重要意义.研究基于19882018年连续观测数据,分析了滇池氮磷浓度和氮磷摩尔比(简称氮磷比)的时空分布演变特征;采用多元线性回归模型分别对滇池草海和外海氮磷比驱动效应进行定量解析,筛选出影响湖体氮磷比变化的潜在驱动因子.结果表明:①19882018年滇池氮磷比呈现显著的线性上升趋势,其中草海和外海氮磷比分别上升1.3和0.7 a^-1.②草海和外海分别在2008年和2004年发生了氮磷比上升突变,突变前上升归因于总氮浓度快速增加,突变后则是由于总磷浓度下降较快.③滇池的氮磷浓度变化主要是受流域氮磷输入负荷、跨流域调水、流域氮磷削减、风速和水位的综合影响,但受控因子在不同区域可能存在差异.④气温是滇池氮磷比变化的主要驱动因子,流域人为氮磷输入差异是滇池氮磷比变化的次要驱动因子.     

Phosphorus loading, transport and concentrations in a lake chain: a probabilistic model to compare management options

Phosphorus (P) loading, exports and concentrations of the four lakes of the Yahara chain (Wisconsin, USA) were compared under four load-reduction plans using a model calibrated with 29–33 years of annual data. P mitigation goals must balance reductions in P concentrations in the four lakes and the export from the lake chain to downstream waters. Lake Mendota, the uppermost lake, is most responsive to P load reductions, and benefits diminish downstream. Nonetheless, the greatest reductions in export from the lake chain to downstream waters derive from P load reductions to lakes lower in the chain. The effective grazer Daphnia pulicaria causes large improvements in water quality. Management to maintain populations of D. pulicaria has substantial benefits that augment those from reductions in P loading. Model projections show high variability in water quality and exports under all load-reduction plans. This variability is driven by inter-annual variation in runoff. Thus lake managers and the public should expect ongoing year-to-year variability in water quality, even though P load mitigation will improve water quality on average. Because of high variability from year to year, ongoing monitoring is essential to assess the effects of management of this chain of lakes.     

基于SWAT模型的南四湖流域非点源氮磷污染模拟

本文利用SWAT模型结合实测数据,对南四湖流域2001-2010年年均非点源氮磷污染进行模拟,分析了南四湖流域非点源氮磷负荷空间分布特征,计算各河流流域对南四湖湖区污染的贡献率,并对非点源氮磷污染严重的关键区进行识别.研究表明:(1)先模拟湖东和湖西的两个典型小流域的非点源氮磷污染,并将模型推及整个南四湖流域,该方法不仅提高了计算效率,且得到了较好的模拟结果.通过对比发现,湖东的模拟效果要好于湖西,一定程度上说明SWAT模型在起伏较大的地区能取得更高的精度.(2)南四湖流域非点源氮磷污染严重,几乎所有区域的氮负荷超标,40%以上的区域磷负荷超标严重.湖东非点源氮磷污染较湖西严重,其中洸府河流域是南四湖湖区非点源氮磷污染的主要贡献者.(3)通过对径流量、泥沙负荷、氮负荷、磷负荷的相关分析可以得出,南四湖流域非点源氮负荷以溶解态为主,随径流进入水体;非点源磷负荷以吸附态为主,随泥沙进入水体.     

Stream restoration reduces elevated phosphorus levels in an urban watershed

Lake Erie is located in North America with its southern shoreline bordering Ohio, as well as parts of Michigan, Pennsylvania and New York. A one-year study investigated nutrient pollution in a Central Basin Lake Erie headwater tributary watershed near Cleveland Ohio. Results suggest that the 2019 annual phosphorus load entering Lake Erie from the Euclid Creek watershed was approximately 22,600 pounds, over four times the watershed’s target of 5545 pounds. Multiple upstream sites were the major nonpoint sources of nutrient pollution. Four sampling sites averaged phosphorus levels 12–15 times the watershed target of 0.05 mg/L. Leaking sanitary sewers in residential areas were believed to contribute more pollution than the three golf courses and the regional airport located within the watershed. The presence of the Cleveland Metroparks along the riparian corridor in the Main Branch significantly reduced (p < 0.05) nutrients during dry weather. In particular, stream restoration within the Acacia Reservation lowered phosphorus levels by an average 0.31 mg/L. Spring storms contributed the most to the annual phosphorus load (∼47 %). To mitigate nutrient pollution in urban watersheds, best management practices (BMPs) would require a two-fold strategy. During dry weather, BMPs should incorporate stream restoration and forested riparian buffers where feasible. Green infrastructure should be designed to mitigate the impact of wet-weather storm-induced flows.     

A nutrient loading budget for Biscayne Bay, Florida

The water quality in Biscayne Bay has been significantly affected by past and continuing coastal and watershed development. The nutrient concentrations in the Bay have been dramatically changed by the conversion of natural creeks and sheet flow freshwater inputs to rapid and episodic canal inputs from the large and rapidly expanding Miami metropolitan area. This study is an evaluation of nutrient loadings to Biscayne Bay for 1994-2002 from canal, atmospheric, and groundwater sources. Dissolved inorganic nitrogen (DIN, as nitrate, nitrite, and ammonium) and total phosphorus (TP) loadings by the canals were influenced by their geographic locations relative to discharge amount, watershed land use, stormwater runoff, and proximity to landfills. Annual budgets showed that canals contributed the bulk of N loading to the bay as 1687.2 metric ton N yr(-1) (88% total load). Direct atmospheric DIN load for Biscayne Bay was only 231.7 ton N yr(-1), based on surface area. Of the canal DIN load, nitrate+nitrite (NO(x)(-)) loading (1294.5 ton N yr(-1)) made up a much greater proportion than that of ammonium (NH(4)(+), 392.6 ton N yr(-1)). In the urbanized north and central Bay, canal DIN load was evenly split between NO(x)(-) and NH(4)(+). However, in the south, 95% of the DIN load was in the form of NO(x)(-), reflecting the more agricultural land use. Contrary to N, canals contributed the only 66% of P load to the bay (27.5 ton P yr(-1)). Atmospheric TP load was 14 ton Pyr(-1). In the north, canal P load dominated the budget while in the south, atmospheric load was almost double canal load. Groundwater inputs, estimated only for the south Bay, represented an important source of N and P in this zone. Groundwater input of N (141 ton N yr(-1)) was about equal to atmospheric load, while P load (5.9 ton P yr(-1)) was about equal to canal load.     

Streambank sediment loading rates at the watershed scale and the benefit of riparian protection

Streambank erosion is a pathway for sediment and nutrient loading to streams, but insufficient data exist on the magnitude of this source. Riparian protection can significantly decrease streambank erosion in some locations, but estimates of actual sediment load reductions are limited. The objective of this research was to quantify watershed‐scale streambank erosion and estimate the benefits of riparian protection. The research focused on Spavinaw Creek within the Eucha‐Spavinaw watershed in eastern Oklahoma, where composite streambanks consist of a small cohesive topsoil layer underlain by non‐cohesive gravel. Fine sediment erosion from 2003 to 2013 was derived using aerial photography and processed in ArcMap to quantify eroded area. ArcMap was also utilized in determining the bank retreat rate at various locations in relation to the riparian vegetation buffer width. Box and whisker plots clearly showed that sites with riparian vegetation had on average three times less bank retreat than unprotected banks, statistically significant based on non‐parametric t‐tests. The total soil mass eroded from 2003 to 2013 was estimated at 7.27 × 10⁷ kg yr.^?1, and the average bank retreat was 2.5 m yr.^?1. Many current erosion models assume that fluvial erosion is the dominant stream erosion process. Bank retreat was positively correlated with stream discharge and/or stream power, but with considerable variability, suggesting that mass wasting plays an important role in streambank erosion within this watershed. Finally, watershed monitoring programs commonly characterize erosion at only a few sites and may scale results to the entire watershed. Selection of random sites and scaling to the watershed scale greatly underestimated the actual erosion and loading rates. Copyright © 2016 John Wiley & Sons, Ltd.     

Water Quality and Phosphorus Budget of Mogan Lake,Turkey

Mogan Lake is the largest recreational area near Ankara, which is the capital city of Turkey. Increased macrophyte growth in the water body and the present levels of urban development within the catchment are reflected in declining water quality and aesthetic deterioation. A study of the water quality of the lake was undertaken to quantify the variation of phosphorus, nitrogen, and chlorophyll-a concentrations during ice-free seasons from 1992 to 1994. Its total phosphorus and chlorophyll-a concentrations indicate a meso-eutrophic status. The total phosphorus budget of Mogan Lake was measured for a period of 22 months. The estimation of nutrient loading using Dillon-Rigler nutrient budget shows that an artificial load caused too high phosphorus inputs. The management implications of phosphorus loading and budget are discussed.     

Increasing chloride concentrations in Lake Constance: characterization of sources and estimation of loads

The chloride concentration in Lake Constance, by volume the second largest lake in Europe, has increased by a factor of 2.4 during the past 40 years. Based on a chloride budget for the year 2006, we estimated total chloride imports to the catchment at 101 kt year⁻¹. Road deicing salts contributed 52%, waste water 23%, farming 11%, soil weathering 9%, precipitation and solid waste incineration 3% to this import. River monitoring programs in Switzerland, Germany, and Austria in 2006 traced an average total chloride export from the catchment into Lake Constance of almost 70 kt and an export from the lake of 56 kt. About one-third of this load to the lake originated from the Alpine Rhine catchment (Switzerland), and about 60% from various smaller tributaries in Austria and Germany. The average annual import of chloride to Lake Constance for the years 1995–2007 was 60 kt, the export almost 57 kt. This budget is in good agreement with the observed increase in the chloride content of the lake and thus confirms the appropriateness and quality of the long-term monitoring program conducted by Swiss, German and Austrian laboratories. For the year 2006, we estimated that about 65% of the chloride spread onto roads for deicing and manure on cultivated land reached the lake within the year of their application. The missing 35% remained transiently in the soil and groundwater of the catchment.     

基于GIS的洱海流域氮素时空分异特征及源结构解析

氮是造成洱海水体富营养化的重要驱动因子,明晰流域内农村及城镇的氮素时空分布特征,对洱海水环境保护有着重要意义.本文利用输出系数模型计算洱海流域的总氮污染负荷及其组成结构;结合GIS空间分析功能,细化26个子流域总氮污染负荷及来源.研究结果表明:1998、2005、2010和2016年的洱海流域总氮污染负荷分别为2442...     

太湖水体磷浓度与赋存量长期变化(2005-2018年)及其对未来磷控制目标管理的启示

为揭示大型浅水湖泊水体磷浓度对湖泊外源负荷削减和生态系统变化的响应规律,指导富营养化湖泊水生态修复和管理实践,利用太湖湖泊生态系统研究站20052018年连续14年的太湖水体各形态磷浓度的月、季度调查数据,估算了太湖湖体各形态磷赋存量的季度变化,分析了太湖水体磷浓度受湖泊水位、水量、蓝藻水华态势(蓝藻总生物量及水华出现面积)等环境条件变化的影响特征.结果表明,在连续10年的全流域高投入污染治理背景下,太湖水体总磷浓度仍未发生显著下降,水体各形态磷浓度在年际、月际及空间上的变幅大,不同季节和不同湖区总磷浓度的时空差异性大于14年来总磷浓度年均值的差异性;全湖32个监测点上、中、下3层混合样水体总磷平均值为0.113 mg/L(n=1788),其中颗粒态磷浓度平均值为0.077 mg/L,是水体总磷的主要赋存形式,溶解性总磷浓度平均值为0.036 mg/L,其中反应性活性磷浓度平均值为0.015 mg/L,占总磷浓度的13%;太湖水体总磷的赋存量介于410~1098 t之间,56个季度的平均值为688 t,其中冬季(122月)、春季(35月)、夏季(68月)、秋季(911月)平均值分别为683、604、792和673 t,夏季湖体磷赋存量明显高于其他季节.统计分析表明,蓝藻水华态势和水情要素(水位)对水相总磷、颗粒态磷等主要形态磷的赋存量影响显著,蓝藻水华态势的影响可能大于水量变化的影响.本研究表明,在水体营养盐浓度仍然充分满足蓝藻水华发生的背景下,气象水文波动所造成的湖泊水华面积及生物量的变化及大型水生植被消长带来的内源交换变化能引起水体总磷浓度剧烈变化,太湖水体磷浓度的稳定控制也依赖于蓝藻水华态势的稳定控制,由于太湖当前的蓝藻水华态势受气象水文条件变化影响甚大,短期内太湖水相总磷浓度稳定控制到0.05 mg/L的水质治理目标较难实现.治理策略上,若要实现太湖水体磷浓度的进一步明显下降,一方面需要大幅度削减外源磷负荷,另一方面需要大面积恢复沉水植被等.管理策略上,由于湖体磷浓度变化包括了较大的非人为因素影响,应将太湖总磷治理目标考核重点放在流域磷减排强度、入湖负荷等方面,科学看待气候波动等非人为因素影响下的水相磷浓度波动.     

Effect of best management practice implementation on sediment and phosphorus load reductions at subwatershed and watershed scale using SWAT model

Identification of areas contributing disproportionately high amount of pollutants (i.e., critical source areas (CSAs)) to streams is important to efficiently and effectively target best management practices (BMPs). Process-based models are commonly used to identify CSAs and evaluate the impact of alternative management practices on pollutant load reductions. The objective of this study was to use the Soil and Watershed Assessment Tool (SWAT) to identify CSAs at the subwatershed level and evaluate the impact of alternative BMPs on sediment and total phosphorus (TP) load reductions in the Pleasant Valley watershed (50 km2) in South Central Wisconsin (USA). The Nash-Sutcliffe efficiency, percent bias, and coefficient of determination ranged from 0.58 to 0.71, ? 12.87 to 38.33, and 0.67 to 0.79, respectively, indicating that SWAT was able to predict stream flow, sediment and TP loadings at a monthly time-step with sufficient accuracy. Based on the SWAT simulation results, annual average (2006–2012) sub-watershed yield for sediment and TP ranged from 0.06 to 3.14 tons ha?1 yr?1 and 0.04 to 1.9 kg ha ? 1 yr ? 1, respectively. The croplands were the major source of sediment and TP in this watershed ( Z 84%). Reduction in sediment and TP loading ranged from 66%to 99%at the subwatershed level after conversion of croplands to Conservation Reserve Program (CRP) grasslands in subwatersheds identified as CSAs. On the other hand, reduction in sediment and TP loading with implementation of no-till practices ranged from only 14%to 25%. At the watershed outlet, sediment and TP loading reduction was r 15% after conversion of croplands to CRP grasslands and implementation of no-till practices because only about 8%of the watershed area was targeted for BMPs and/or resuspension of sediment deposited on the stream bed masked the downstream improvements in water quality.     

Improved water quality in response to pollution control measures at Masan Bay, Korea

The total pollution load management system (TPLMS) was first applied in 2007 to the highly developed Masan Bay watershed, Korea. To evaluate the effect of TPLMS on water quality improvement, we analyzed the water qualities in rivers and bay during 2005-2010, targeting chemical oxygen demand (COD), suspended sediment (SS), total nitrogen (TN), and total phosphorus (TP) loads. Land-based pollutant loading all decreased during this period, with a significant reduction in COD and SS loads (p<0.01). The COD reduction in seawater, following the TPLMS implementation, was also significant (p<0.01). Time-lagged responses in COD and Chl-a supported an estimated seawater residence time of ~1 month. Land-based nutrient loads were also significantly reduced for TN (p<0.01) and TP (p<0.05), however, significant reductions were not observed in the bay, indicating potential alternative nutrient inputs from non-point sources into the bay system.     

基于农户个体行为的珠江流域氮、磷营养盐控制政策情景分析

为揭示农户个体行为与流域农业非点源营养盐产生和控制政策之间的逻辑关系,以珠江流域为研究对象,采用系统动力学模型与多主体农户和农村环境管理模型耦合构建流域营养盐污染控制政策的情景分析方法,基于农户在化肥税和农药税组合型政策下的生产行为设计了基准情景、低化肥税情景、中化肥税情景和高化肥税情景4种具有代表性的情景方案,并在各种情景下定量描述流域营养盐对农业政策的响应和评估流域营养盐控制的优选政策方案.结果显示:从农业投入和产出的角度看,2030年低化肥税情景、中化肥税情景和高化肥税情景的化肥施用量相对基准情景分别减少了24.0%、39.8%和50.2%,农药使用量分别减少了27.6%、32.8%和37.4%,农作物产量分别减少了10.0%、16.3%和21.2%,畜禽养殖量分别增加了5.9%、7.5%和14.0%;2030年,基准情景、低化肥税情景、中化肥税情景和高化肥税情景的总氮入河量分别达到94.5、85.1、78.5和75.3万t,总磷入河量分别达到14.0、12.8、12.0和11.6万t;化肥税和农药税的组合型政策能够有效减少营养盐污染量,然而,中化肥税情景和高化肥税情景比低化肥税情景的边际效果小、经济成本高、农作物产出低和畜禽污染高,故低化肥税情景被认为是控制珠江流域营养盐污染的最优方案.     

Predicting phosphorus dynamics in complex terrains using a variable source area hydrology model

Phosphorus (P) loss from agricultural watersheds has long been a critical water quality problem, the control of which has been the focus of considerable research and investment. Preventing P loss depends on accurately representing the hydrological and chemical processes governing P mobilization and transport. The Soil and Water Assessment Tool (SWAT) is a watershed model commonly used to predict run‐off and non‐point source pollution transport. SWAT simulates run‐off employing either the curve number (CN) or the Green and Ampt methods, both assume infiltration‐excess run‐off, although shallow soils underlain by a restricting layer commonly generate saturation‐excess run‐off from variable source areas (VSA). In this study, we compared traditional SWAT with a re‐conceptualized version, SWAT‐VSA, that represents VSA hydrology, in a complex agricultural watershed in east central Pennsylvania. The objectives of this research were to provide further evidence of SWAT‐VSA's integrated and distributed predictive capabilities against measured surface run‐off and stream P loads and to highlight the model's ability to drive sub‐field management of P. Thus, we relied on a detailed field management database to parameterize the models. SWAT and SWAT‐VSA predicted discharge similarly well (daily Nash–Sutcliffe efficiencies of 0.61 and 0.66, respectively), but SWAT‐VSA outperformed SWAT in predicting P export from the watershed. SWAT estimated lower P loss (0.0–0.25 kg ha^?1) from agricultural fields than SWAT‐VSA (0.0–1.0+ kg ha^?1), which also identified critical source areas – those areas generating large run‐off and P losses at the sub‐field level. These results support the use of SWAT‐VSA in predicting watershed‐scale P losses and identifying critical source areas of P loss in landscapes with VSA hydrology. Copyright © 2014 John Wiley & Sons, Ltd.     

Cross-Media Models of the Chesapeake Bay Watershed and Airshed

A continuous, deterministic watershed model of the Chesapeake Bay watershed, linked to an atmospheric deposition model is used to examine nutrient loads to the Chesapeake Bay under different management scenarios. The Hydrologic Simulation Program - Fortran, Version 11 simulation code is used at an hourly time-step for ten years of simulation in the watershed. The Regional Acid Deposition Model simulates management options in reducing atmospheric deposition of nitrogen. Nutrient loads are summed over daily periods and used for loading a simulation of the Chesapeake estuary employing the Chesapeake Bay Estuary Model Package. Averaged over the ten-year simulation, loads are compared for scenarios under 1985 conditions, forecasted conditions in the year 2000, and estimated conditions under a limit of technology scenario. Limit of technology loads are a 50%, 64%, and 42% reduction from the 1985 loads in total nitrogen, total phosphorus, and total suspended solids, respectively. Urban loads, which include point source, on-site wastewater disposal systems, combined sewer overflows, and nonpoint source loads have the highest flux of nutrient loads to the Chesapeake, followed by crop land uses.on assignment from NOAA Air Resources Laboratory     

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.     

水体氮、磷营养盐水平对蓝藻优势形成的影响

以江苏省南京市富营养化程度不同的清溪、护城河、玄武湖、月牙湖、琵琶湖和前湖为研究对象,调查各水体浮游植物的群落特征和优势种,并结合藻类生长潜力试验,探究不同氮、磷营养水平的自然水体对铜绿微囊藻（Microcystis aeruginosa）和斜生栅藻（Scenedesmus obliquus）生长与竞争的影响.野外调查发现不同营养水平水体浮游植物优势种不同,按水体富营养化程度从高到底依次以绿藻、蓝藻、硅藻和隐藻分别占优势.单一藻种培养时,铜绿微囊藻在清溪、护城河和玄武湖水体中生长均较好,而斜生栅藻仅在高氮、磷浓度的清溪和护城河水体中有较大生长量,说明斜生栅藻对氮、磷的需求高于铜绿微囊藻;两种藻共培养时,清溪水体中斜生栅藻占优势,护城河和玄武湖水体中铜绿微囊藻占优势,但其他水体中两种藻均不能生长,说明氮、磷浓度过高或过低都不利于蓝藻形成优势.对低营养水平的玄武湖、琵琶湖、月牙湖和前湖水体进行氮、磷加富后,两种藻均能较好地生长,且各组没有显著差异,说明藻类在这些水体中生长受到氮、磷的限制,氮、磷浓度升高会增加水华发生的风险.本研究将野外调查和藻类生长潜力实验相结合,深入探究了蓝藻优势形成与水体氮、磷营养水平的关系,揭示了蓝藻水华是湖泊富营养化发展到特定阶段的产物,水体氮、磷浓度过高或过低均不易产生蓝藻优势.     

Application of the SPARROW model in watersheds with limited information: a Bayesian assessment of the model uncertainty and the value of additional monitoring

How can spatially explicit nonlinear regression modelling be used for obtaining nonpoint source loading estimates in watersheds with limited information? What is the value of additional monitoring and where should future data‐collection efforts focus on? In this study, we address two frequently asked questions in watershed modelling by implementing Bayesian inference techniques to parameterize SPAtially Referenced Regressions On Watershed attributes (SPARROW), a model that empirically estimates the relation between in‐stream measurements of nutrient fluxes and the sources/sinks of nutrients within the watershed. Our case study is the Hamilton Harbour watershed, a mixed agricultural and urban residential area located at the western end of Lake Ontario, Canada. The proposed Bayesian approach explicitly accounts for the uncertainty associated with the existing knowledge from the system and the different types of spatial correlation typically underlying the parameter estimation of watershed models. Informative prior parameter distributions were formulated to overcome the problem of inadequate data quantity and quality, whereas the potential bias introduced from the pertinent assumptions is subsequently examined by quantifying the relative change of the posterior parameter patterns. Our modelling exercise offers the first estimates of export coefficients and delivery rates from the different subcatchments and thus generates testable hypotheses regarding the nutrient export ‘hot spots’ in the studied watershed. Despite substantial uncertainties characterizing our calibration dataset, ranging from 17% to nearly 400%, we arrived at an uncertainty level for the whole‐basin nutrient export estimates of only 36%. Finally, we conduct modelling experiments that evaluate the potential improvement of the model parameter estimates and the decrease of the predictive uncertainty if the uncertainty associated with the current nutrient loading estimates is reduced. Copyright © 2012 John Wiley & Sons, Ltd.     

Assessing impacts of riparian buffer zones on sediment and nutrient loadings into streams at watershed scale using an integrated REMM‐SWAT model

Riparian buffer zones in agriculture dominated watersheds play important roles in reducing nonpoint source pollution into aquatic ecosystems and are widely used as a Best Management Practice. Assessment of the effectiveness of riparian buffer zones by modeling method is widely used for watershed management as field measurement‐based assessment is difficult and expensive. The integration of Riparian Ecosystem Management Model (REMM) and Soil and Water Assessment Tool (SWAT) has been developed to simulate the effect of nonpoint source pollution reduction by riparian buffer zones at subbasin scale. However, there are problems in using the integrated model at subbasin scale, as the size of subbasin partition could affect the pollutant reduction rate by riparian buffers. In this study, we partitioned a large watershed with size of 1331 ha into sub‐watersheds with sizes of 666, 333, 166, 83, 51, and 29 ha, and then compared the different simulation results. We found that the modeling could yield more convergent results when the sub‐watersheds were partitioned into suitable size. In the studied area, the suitable sub‐watershed size was less than about 166 ha for runoff and nitrogen and 83 ha for sediment and phosphorus. Among the eight sub‐watersheds (partitioned based on the size of 166 ha), results showed that the effects of riparian buffers on runoff and nutrient loading varied drastically. The reduction rate varied from 0.26% to 30.13% for runoff, 29.4% to 74.07% for sediment, 9.61% to 57.85% for nitrogen, and 18.61% to 68.12% for phosphorus, respectively.