上海中心城区苏州河沿岸排水系统降雨径流水文水质特性研究

为了解城市合流制管道系统降雨径流的水文水质变化过程与特征,于2007年7～9月对上海中心城区合流制排水系统(CSS)4类强度降雨(小雨、中雨、大雨和暴雨)的降雨量、径流量和污染浓度进行了同步连续监测与分析.结果表明,径流过程线滞后于降雨过程线约15～25 min,形态与降雨过程线相似,波动幅度低于降雨过程线.4类强度降雨的径流系数分别为：0.33、 0.62、 0.67和0.73.CSS基本存在30/30标准的降雨径流初始冲刷现象,污染物浓度过程线滞后于降雨过程线约30～40 min. 4类强度降雨径流的pH值和重金属Cu、Zn、Cr、Cd、Pb、Ni的事件平均浓度(EMC)均符合地表水环境质量标准Ⅴ类水要求,COD、BOD₅、NH⁺₄-N和TP的EMC的变化范围分别为225.0～544.1、 31.5～98.9、 8.9～44.2和1.98～3.52 mg·L^-1,平均分别超过Ⅴ类水标准9.3、 5.6、 11.7和6.1倍,接近国外城市CSS的平均污染水平.SS与COD、BOD₅、NH⁺₄-N和TP在P<0.01水平上均具有一定的正相关性(R为0.359～0.736),颗粒态有机类和营养类污染物的比例平均为70.21%.     

Maximizing Returns from Payments for Water‐Based Ecosystem Services: Incorporating Externality Effects of Land Management

Given the expansion of payments for water‐based ecosystem services (PWES) worldwide, two relevant issues are as follows: (1) determination of efficient allocations of payments among land managers, and (2) how this might change when paying one manager to implement a best management practice (BMP) to enhance an ecosystem service impacts the cost‐effectiveness of BMPs considered by other land managers not currently involved in PWES. Such externalities may be negative if diminishing returns dominate, or positive if mechanisms such as “social diffusion” dominate. We analyze how a planner should optimally allocate payments, depending on whether the expected externalities are negligible, negative, or positive. We employ (1) an optimal control model to gain insights on the problem’s dynamics, and (2) stochastic dynamic programming to determine optimal funding strategies using a specific application. The study contributes to the literature by identifying dynamically optimal PWES payment patterns, and illustrates how they should change when one accounts for externalities induced by the program. Because such impacts have not been addressed previously in a rigorous way, this treatment provides useful value added for PWES design and implementation.     

Modeling Flow,Nutrient, and Sediment Delivery from a Large International Watershed Using a Field‐Scale SWAT Model

A large international watershed, the St. Clair‐Detroit River System, containing both extensive urban and agricultural areas, was modeled using the Soil and Water Assessment Tool (SWAT) model. The watershed, located in southeastern Michigan, United States, and southwestern Ontario, Canada, encompasses the St. Clair, Clinton, Detroit (DT), Sydenham (SY), Upper, and Lower Thames subwatersheds. The SWAT input data and model resolution (i.e., hydrologic response units, HRUs), were established to mimic farm boundaries, the first time this has been done for a watershed of this size. The model was calibrated (2007–2015) and validated (2001–2006) with a mix of manual and automatic methods at six locations for flow and water quality at various time scales. The model was evaluated using Nash–Sutcliffe efficiency and percent bias and was used to explore major water quality issues. We showed the importance of allowing key parameters to vary among subwatersheds to improve goodness of fit, and the resulting parameters were consistent with subwatershed characteristics. Agricultural sources in the Thames and SY subwatersheds and point sources from DT subwatershed were major contributors of phosphorus. Spatial distribution of phosphorus yields at HRU and subbasin levels identified locations for potential management targeting for both point and nonpoint sources and revealed that in some subwatersheds nonpoint sources are dominated by urban sources.     

Evaluation of SWAT Impoundment Modeling Methods in Water and Sediment Simulations

Worldwide studies show 80%–90% of all sediments eroded from watersheds is trapped within river networks such as reservoirs, ponds, and wetlands. To represent the impact of impoundments on sediment routing in watershed modeling, Soil and Water Assessment Tool (SWAT) developers recommend to model reservoirs, ponds, and wetlands using impoundment tools (ITs). This study evaluates performance of SWAT ITs in the modeling of a small, agricultural watershed dominated by lakes and wetlands. The study demonstrates how to incorporate impoundments into the SWAT model, and discusses and evaluates involved parameters. The study then recommends an appropriate calibration sequence, i.e., landscape parameters calibration, followed by pond/wetlands calibration, then channel parameter calibrations, and lastly, reservoir parameter calibration. Results of this study demonstrate not following SWAT recommendation regarding modeling water land use as an impoundment depreciates SWAT performance, and may lead to misplaced calibration efforts and model over‐calibration. Further, the chosen method to model impoundments’ outflow significantly impacts sediment loads in the watershed, while streamflow simulation is not very sensitive. This study also allowed calculation of mass accumulation rates in modeled impoundments where the annual mass accumulation rate in wetlands (2.3 T/ha/yr) was 39% higher than mass accumulation rate in reservoirs (1.4 T/ha/yr).     

Does Wetland Location Matter When Managing Wetlands for Watershed‐Scale Flood and Drought Resilience?

Wetland protection and restoration strategies that are designed to promote hydrologic resilience do not incorporate the location of wetlands relative to the main stream network. This is primarily attributed to the lack of knowledge on the effects of wetland location on wetland hydrologic function (e.g., flood and drought mitigation). Here, we combined a watershed‐scale, surface–subsurface, fully distributed, physically based hydrologic model with historical, existing, and lost (drained) wetland maps in the Nose Creek watershed in the Prairie Pothole Region of North America to (1) estimate the hydrologic functions of lost wetlands and (2) estimate the hydrologic functions of wetlands located at different distances from the main stream network. Modeling results showed wetland loss altered streamflow, decreasing baseflow and increasing stream peakflow during the period of the precipitation events that led to major flooding in the watershed and downstream cities. In addition, we found that wetlands closer to the main stream network played a disproportionately important role in attenuating peakflow, while wetland location was not important for regulating baseflow. The findings of this study provide information for watershed managers that can help to prioritize wetland restoration efforts for flood or drought risk mitigation.     

国内流域生态系统土壤动物群落结构研究

土壤动物与其生存环境息息相关.土壤质地优良,食物种类丰富多样,则土壤动物个体数、类群数、多样性显著增多.目前,国内学者多侧重研究农田、森林、草原等生态系统土壤动物群落结构,而流域生态系统土壤动物研究较少涉及.对此,从土壤动物的水平分布、垂直分布和群落多样性三个方面来综述流域生态系统相关因素对土壤动物的影响具有代表性.在此基础上借鉴其他生态系统土壤动物相关研究并且结合流域生态系统自身特点拓展土壤动物研究方向,为研究区土地利用方向提供依据.研究流域中不同环境因素对土壤动物区系的影响,了解国内外土壤动物的研究和流域生态系统对土壤动物影响的进展.对于生态环境的恢复与重建具有重大意义.     

滇池流域入湖河流丰水期大型底栖动物群落特征及其与水环境因子的关系

研究了滇池流域入湖河流丰水期大型底栖动物群落特征及其与水环境因子的关系.在滇池流域29条入湖河流2009年7～8月进行大型底栖动物群落调查,并在2008年9月～2009年8月进行逐月17项水环境指标监测,目的是阐明滇池流域入湖河流丰水期大型底栖动物群落特征,识别影响大型底栖动物群落特征的主要水环境因子,比较大型底栖动物群落Shannon-Weaver多样性指数与水环境质量评价空间分布格局的特点.滇池流域入湖河流丰水期共检出大型底栖动物3门7科8属(其中环节动物门4科5属,软体动物门2科2属,节肢动物门1科1属),群落结构以环节动物门的水丝蚓属(耐污生物)为优势属;TN、 NH⁺₄-N、 TP和DO是影响大型底栖动物群落特征的主要水环境因子,分别为2.03～32.00、 0.34～26.66、 0.09～3.20、 0.10～6.80 mg/L;大型底栖动物群落Shannon-Weaver多样性指数与水环境质量评价的空间分布格局一致,均为流域北部入湖河流(王家堆渠、新运粮河、老运粮河、乌龙河、大观河、西坝河、船房河、采莲河、金家河、盘龙江、大青河、海河、六甲宝象河、小清河、五甲宝象河、虾坝河、老宝象河、新宝象河和马料河)污染状况严重程度>流域南部入湖河流(淤泥河、老柴河、白鱼河、茨巷河、东大河、中河和古城河)>流域东部入湖河流(洛龙河、捞鱼河和南冲河).     

基于DEM地表水文特征和汇水子流域的提取研究

文章以天津于桥水库上游流域为研究对象,以DEM(数字高程模型)为基础数据,对DEM生成方法、DEM精度、流域地形地貌特征及阈值的选取三个方面分别作了详细研究。试验结果表明,从于桥水库上游流域的水文特征所提取的河网分布与河流与实际分布情况基本吻合,淋河、沙河、黎河三大流域的面积误差范围分别为-3.44%、2.28%和7.63%。     

水温对氧转移速率的影响研究

通过对上澳塘水体的曝气充氧实验,研究了温度对氧转移速率的影响,测定了温度系数,为上澳塘水体曝气净化的工程实践提供了可靠的技术参数。      

东寨港流域地表水水化学组成特征及其成因

为研究滨海地区地表水资源和红树林生态系统的水环境,利用水化学分析、数理统计和Gibbs水-岩分析模型等方法对东寨港流域内演丰西河和三江河两条河流水体的水化学组成和氢氧稳定同位素特征进行分析,揭示了演丰西河和三江河河流地表水的水化学组成特征,讨论了该区域地表水的水化学组分变化及其控制因素.结果 表明:演丰西河地表水的水化...