Where Did the Agricultural Nonpoint Source Trades Go? Lessons from Virginia Water Quality Trading Programs

Governmental agencies, nongovernmental organizations, and agricultural organizations promote water quality trading programs as an innovative policy to engage agricultural producers in conservation activities. Cost analyses suggest regulated sources can reduce compliance costs by purchasing agricultural nonpoint source credits. Yet, such “point‐nonpoint” trades are rare. This article assesses the demand for agricultural nonpoint sources in well‐developed nutrient trading programs in Virginia for industrial and municipal wastewater treatment plants, municipal stormwater programs, and land developers. Evidence suggests nutrient trading programs in Virginia will not stimulate investments in pollutant reduction practices on working agricultural lands. The lack of demand for agricultural nonpoint source credits can be attributed to a substantial degree to the design features and incentives present in multiple overlapping regulatory programs. The legal setting that dampens regulated source demand for nonpoint source credits in Virginia is broadly representative of conditions found elsewhere in the United States.     

Estimating the background air concentration excluding the contribution of an individual source

This paper presents two simple methods for the estimation of the instantaneous background air pollution level in a study area around an emitting point source. The methods allow estimation of concentrations non-inclusive of the contribution of the local emitting source. Hourly records of several monitoring stations located around the point source and results of the diagnostic Lagrangian particle dispersion model LADISMO are used in the calculations. A hypothetical case study is used to demonstrate the application of the two methods. This revised version was published online in July 2006 with corrections to the Cover Date.     

A Stream Network Model for Integrated Watershed Modeling

We describe a flexible, computationally efficient stream network model, which forms the core of a simulation framework that spatially integrates the contributions from point and nonpoint sources in a watershed. The model uses the map and stream topology information in the US Environmental Protection Agency’s Reach File 3 to generate a spatially explicit network of stream reaches. Water and materials are routed through the stream network to the watershed outlet, and the routing process accounts for transit times and for possible nutrient losses in streams. This model can be applied wherever Reach File maps or maps from the newer National Hydrography Dataset are available, and it can be combined with models of other watershed processes to create a complete watershed simulation system. We present an application of the stream network model to two watersheds of different sizes in the Patuxent River watershed of Maryland, USA. Simulated predictions of streamflow and nitrate concentrations are either very good or good according to standards developed for evaluating the widely used Hydrologic Simulation Program – Fortran (HSPF) watershed model.     

基于改进SIFT算法的交通事故图像匹配

为解决无人机航拍交通事故现场图像特征点数量较少、匹配成功率较低、耗时过长的问题,提出1种改进的SIFT算法,使用Gabor滤波对图像进行特征提取,基于改进的高斯金字塔和多方向多尺度Gabor频谱特点提取出具有尺度、旋转不变性的特征点,结合LLE算法对特征描述符进行降维处理,通过DBSCAN算法对特征点进行密度聚类,计算...     

神经节苷脂生产废水处理技术研究

针对神经节苷脂生产废水蛋白质含量高的特点,研究了等电点沉淀或混凝沉降预处理、厌氧好氧生物处理、化学沉淀和类Fenton氧化后处理组合工艺处理神经节苷脂生产废水的技术。结果表明,神经节苷脂生产废水的等电点在pH=2.2左右,通过等电点沉淀可去除30%以上的COD,但等电点时蛋白质的沉淀速度非常慢;用聚合硫酸铁对神经节苷脂生产废水进行混凝预处理的最适工艺条件是：pH=7～7.5,聚合硫酸铁用量＝500～750 mg/L。在优化条件下,混凝预处理可以使神经节苷脂生产废水的COD从27 000 mg/L左右降到13 000 mg/L左右。混凝预处理后的神经节苷脂生产废水经48 h厌氧和84 h好氧生物处理,COD值进一步下降到600 mg/L左右。然后向每升生化出水中加入2～3 mmol Fe³⁺,通过化学沉淀作用除去其中的磷酸盐,过量的Fe³⁺作为后续类Fenton氧化的催化剂。当H₂O₂(30％)用量为2～3 mL/L时,最终出水的COD值可以达到国家一级排放标准。     

基于遗传算法的大气污染总量控制新方法

提出一种利用遗传算法进行大气污染总量控制的新方法,并以柳州市SO2总量控制为例说明这种方法的具体运用.遗传算法具备自适应全局搜索寻优特点,从控制点浓度推算源强分布,该源强分布满足总量控制的根本要求.该方法的具体实现是:将区域内各污染源的排放量编码为染色体,让染色体群体在模拟的进化环境下按生物进化规律进行优胜劣汰的自然选择,经过若干代的进化,最终得到的最优个体即代表最佳的源强分布.研究结果表明,这种方法是有效的和可行的.     

乡村振兴背景下浙江省3A级景区村庄空间结构特征与影响因子分析

乡村振兴背景下,基于浙江省1597处3A级景区村庄数据,采用最邻近距离指数、点密度分析,结合ArcGIS 10.6、地理探测器等数据处理与分析工具,探讨浙江省及各地级市3A级景区村庄空间结构特征、影响因子,并提出空间结构优化思路:(1)浙江省及各地级市3A级景区村庄空间分布聚集性显著,空间结构呈“万”字形。(2)各地级市空间结构特征具有趋低海拔、趋平原、趋阳坡、趋河流、趋干线、趋中心地等分布规律。(3)3A级景区村庄数与高程、坡度、坡度变率、坡向变率呈负相关,距水域分布5 km范围、地级市40 km范围、区县15 km范围、重要道路干线4 km范围、高级别景区20 km范围内具有显著的聚集性与辐射性。(4)自然因子是影响3A级景区村庄空间结构特征的先决性因子,人文因子是村庄转型的牵引性因子。(5)3A级景区村庄优化可进一步以点促面,促成多核心放射结构和核聚—扩散结构、以线为轴,优化聚集—汇流结构、以面化点,优化同异互动结构。     

浊点萃取-高效液相色谱测定土壤及底泥中痕量多环芳烃

采用阴离子表面活性剂十二烷基硫酸钠(SDS)超声波辅助浊点萃取(CPE),高效液相色谱法(HPLC)测定土壤及底泥中痕量多环芳烃(PAHs),在SDS浓度为2.75%,HCl用量为4.2mol·l-1,平衡温度为70℃.恒温时间为50min的最佳条件下,萘、芴、苊烯、菲和芘的方法检测限分别:31.40,18.84,12.56,94.20和31.40μg·l-1,线性范嗣为0-10.0 mg·l-1.     

Hierarchical spatial point process analysis for a plant community with high biodiversity

A complex multivariate spatial point pattern of a plant community with high biodiversity is modelled using a hierarchical multivariate point process model. In the model, interactions between plants with different post-fire regeneration strategies are of key interest. We consider initially a maximum likelihood approach to inference where problems arise due to unknown interaction radii for the plants. We next demonstrate that a Bayesian approach provides a flexible framework for incorporating prior information concerning the interaction radii. From an ecological perspective, we are able both to confirm existing knowledge on species’ interactions and to generate new biological questions and hypotheses on species’ interactions.

超临界水氧化法处理酚水溶液初步研究

为探讨在超临界状态下苯酚水溶液的氧化分解情况,应用了间歇式高压釜进行了实验。实验结果表明：停留时间增加,转化率提高;在超临界条件下,反应的温度和压力对苯酚的氧化分解影响不大;在氧气充足的情况下,苯酚浓度的增加不会对苯酚的分解转化率产生大的影响。