滦河锡林郭勒盟段水质状况评价

利用水质指数法对滦河锡林郭勒盟段水质状况进行了分析评价,结果显示：（1）滦河锡林郭勒段2005-2007年主要污染因子为：高锰酸盐指数、化学需氧量、铁、生物需氧量、锰、总磷等;（2）2005-2007年间,上都河监测断面水质状况整体呈变好趋势,但地方经济增长带来的化学需氧量异常升高不容忽视,大河口断面不同水期水质状况变化不同;（3）2005-2007年,滦河锡林郭勒段化学需氧量与溶解氧超标污染加重明显、高锰酸盐指数超标污染逐渐减轻;三年内,上游水质均优于下游水质,两个监测断面水质均为丰水期水质〈平水期水质〈枯水期水质。     

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%.     

利用3S技术评价凌河口湿地生态环境质量

基于3S技术,利用中巴地球资源卫星解译数据,于2008年秋季对辽宁省锦州市凌河口湿地自然保护区的土地利用／土地覆盖现状进行野外核查,并结合对湿地进行的鸟类、鱼类、植被状况、空气、水体、土壤状况等调查,采用多样性、代表性、稀有性、自然性、稳定性和人类威胁等6项指标组成的湿地生态环境评价指标体系,对凌河口湿地生态环境质量进行了评价。结果表明,凌河口湿地生态环境处于较好水平。     

粪大肠菌群测定中的实验室质量控制研究

对在粪大肠菌群实验过程中涉及到的实验室质控设备、培养基、精密度检验等内容进行了分析,并对实验过程中的关键问题进行了阐述。     

海上溢油扩散图像处理的非线性方法研究

针对海上溢油应急处理问题,本文主要对溢油的初级行为--扩散进行探讨.提出了采用溢油扩散图像来预测溢油扩散未来发展趋势的3步非线性处理过程,即图像边缘检测、面积计算和面积预测,对这一过程中应采用的方法进行了分析与比较.并以奥里油在静止海水中扩散为范例,在MATLAB环境下,利用非线性方法对扩散图像进行边缘监测,通过对梯度算子阀值的调整来计算完整的油膜覆盖面积,并将其计算结果进行BP神经网络预测.结果表明:采用Roberts边缘算子可以得到很好的边缘检测结果,采用BP神经网络获得的面积预测结果与实验结果吻合程度较好.     

滇池大清河河口二维水环境模型研究与应用

以滇池大清河河口为对象,根据其水动力特征,建立了二维水环境模型.其中水动力模块采用交替方向迭代法进行数值求解,水质模块中参数的取值通过2006年和2007年现场原位实验和实验室模拟实验获得,并利用2007年的实际监测数据对模型进行率定和验证.运用率定的模型,模拟了生态修复工程实施后大清河人湖控制断面的水质变化情况,以期为治理方案的优化和效果评价提供参考.     

Evaluation of ecological restoration success in mining‐degraded lands

This review article analyzes the importance of assessing the success of ecological restoration by using four indicators: assemblage of the plant and animal communities; enzyme activity; litter accumulation and decomposition; and the improvement of soil quality. These indicators can be used alone or in combinations. Even though the Society for Ecological Restoration International provided a primer containing nine attributes to use as standards for measuring ecological restoration, only three of these attributes could be easily applied due to their low costs and low time requirements. These three attributes include: diversity, vegetation structure, and ecological processes. This review article emphasizes that the criteria for the selection of the indicator species should be based upon: habitat types, abundance of species, ease of measuring, quantifying and interpreting the results, gradual enhancement with time and cost‐effectiveness, sensitivity, variability of response, size, residential status, and requirements of the area. Principal component analysis was applied to calculate the reclaimed mine soil quality index (RMSQI) and the forest soil quality index (FSQI) and the RMSQI value was compared with FSQI (optimum index value of reference ecosystem) to evaluate the restoration success. Available phosphorus, exchangeable magnesium, organic carbon, clay content, field moisture, available nitrogen, electrical conductivity, and pH are identified as the most influential parameters that regulate the health of reclaimed mine soil. Exchangeable calcium, magnesium, cation exchange capacity, sand, silt, clay content, field moisture, available phosphorus, and pH are the controlling properties for forest soil. The observed values of the above‐stated soil indicator properties were converted into a unitless score (0–1.00) and integrated into index calculations (RMSQI and FSQI). The contribution of each soil indicator properties on the calculated index was analyzed, which provides insight into the reason for the measured index. A higher RMSQI indicates better ecological restoration success. The calculated RMSQI was found to be 0.473 in the reclaimed dump, which is 6% lower than the reference ecosystem.     

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.     

Modeling Hydrological and Environmental Consequences of Climate Change and Urbanization in the Boise River Watershed,Idaho

The potential impacts driven by climate variability and urbanization in the Boise River Watershed (BRW), located in southwestern Idaho, are evaluated. The outcomes from Global Circulation Models (GCMs) and land use and land cover (LULC) analysis have been incorporated into a hydrological and environmental modeling framework to characterize how climate variability and urbanization can affect the local hydrology and environment at the BRW. The combined impacts of future climate and LULC change are also evaluated relative to the historical baseline conditions. For modeling exercises, Hydrological Simulation Program‐Fortran (HSPF) is used in parallel computing and statistical techniques, including spatial downscaling and bias correlation, are employed to evaluate climate consequences derived from GCMs as well. The implications of climate variability and land use change driven by urbanization are then observed to evaluate how these overall global challenges can affect water quantity and quality conditions at the BRW. The results show the combined impacts of both climate change and urbanization can lead to more seasonal variability of streamflow (from ?27.5% to 12.5%) and water quality, including sediment (from ?36.5% to 49.3%), nitrogen (from ?24% to 124.2%), and phosphorus (from ?13.3% to 21.2%) during summer and early fall over the next several decades.