基于CSA-PLS算法的养殖水体水质快速高光谱预测反演模型研究

养殖水体水质的优劣直接影响养殖对象的成长,准确、快速、全面地掌控养殖水环境的水质参数变化情况具有重要意义。传统的水质指标监测方法都通过人工采样的方式,不仅耗费时间长,且只能体现局部水体情况。针对这些问题,提出了一种乌鸦搜索算法(CSA)结合偏最小二乘回归(PLSR)的高光谱特征波段筛选方法,快速构建回归模型,实现光谱数据的精准预测反演。以连片的养殖小区为研究对象,采集养殖水体样本并拍摄同时期的高光谱影像数据。首先对提取的采样点光谱数据利用多种数据变换方法分别预处理;其次利用这些数据,对水质指标总氮(TN)、氨氮(NH₄⁺-N)、总磷(TP)和化学需氧量(COD)分别构建全波段的SVR和AdaBoost回归模型,同时与提出的CSA-PLS自动筛选波段方法和传统的连续投影算法(SPA)筛选波段后构建的模型进行比较分析;最后根据决定系数(R²)和均方根误差(REMS)选出适合各水质指标的最优模型。从实验结果可以看出,所提波段筛选方法的AdaBoost模型预测结果优于SVR和传统SPA方法提取特征波段后构建的模型,与全波段最优模...     

城市规划对大气环境变化及空气质量的影响

采用北京大学三维复杂地形中尺度数值模式,利用Landsat-TM卫星影像图和"北京海淀区北部地区总体规划--用地规划图",分别模拟了北京海淀区北部规划完成后和目前情况下的气象场和大气环境,并分析了规划区的建成对本地和整个海淀区的影响.通过将观测的直径小于10 μm的粒子即PM10总量加权分配得到源强分布,计算海淀区的PM10浓度分布,在目前源强分布调查很困难的情况下不失为一种较为合理可行的方法.试验表明规划区的建成会增加当地和其下风方向的热岛强度和PM10浓度.对规划区进行较为合理的布局,如相对增加树木减少建筑物的面积将会缓和上述影响.     

日照万平口沙滩质量评价及“蓝旗沙滩”建设建议

沙滩质量评价是有效的沙滩管理工具。“蓝旗”标准是目前世界上认可度最高的沙滩评价标准。文章基于“蓝旗”标准,根据国内外已有沙滩质量评价体系,结合实地调研和问卷调查,构建适用于万平口沙滩的质量评价体系。评价结果表明：(1)万平口环境因素、安全与教育和环境管理准则层评价结果均为良好,社会因素准则层达到优质等级,说明万平口风景区作为旅游地,其气候条件适宜,服务水平和安全及教育水平都较为发达。(2）万平口沙滩的自然条件本底优良,是最能体现日照“蓝天、碧海、金沙滩”的特色景区。但由于自然及人为因素造成的沙滩侵蚀退化现象严重,影响了沙滩的可持续发展。根据评价结果及万平口与“蓝旗沙滩”的对比差异,认为万平口建设“蓝旗沙滩”,需要完善景区水质监测、加强景区内及周边环境管理、重视沙滩养护、完善基础设施的投放、进一步提高景区的服务水平、重视景区内安全保障及加强景区的宣传,提高公众对“蓝旗”的认知度。     

炎可宁丸质量评价研究

目的：建立炎可宁丸质量标准。方法：采用显微鉴别法鉴别黄连。采用薄层色谱法（TLC）鉴别黄柏、大黄、黄芩、板蓝根、黄连。采用高效液相色谱（HPLC）法测定大黄素与大黄酚的含量,使用Phenomenex Luna C₁₈色谱柱（4.6 mm ×250 mm,5μm）,以甲醇-0.1%磷酸溶液（85∶15）为流动相,流速为1.0 ml/min,柱温为30℃,检测波长为254 nm。采用HPLC法测定黄芩苷的含量,使用CAPCELL PAK C₁₈色谱柱（4.6 mm×250 mm,5μm）,以甲醇-0.1%磷酸溶液(45∶55)为流动相,流速为1.0 ml/min,柱温为30℃,检测波长为280 nm。结果:薄层色谱斑点清晰;大黄素和大黄素酚的线性范围分别为9.3～465.0 ng、11.6～580.0 ng,加样回收率分别为93.3%、98.0%,RSD分别为1.8%、2.7%;黄芩苷的线性范围为68～3400 ng,加样回收率为97.2%,RSD为1.2%。结论:本法简便可靠、结果准确,可用于该制剂的质量控制。     

Watershed-scale vegetation,water quantity,and water quality responses to wildfire in the southern Appalachian mountain region,United States

Wildfires are landscape scale disturbances that can significantly affect hydrologic processes such as runoff generation and sediment and nutrient transport to streams. In Fall 2016, multiple large drought-related wildfires burned forests across the southern Appalachian Mountains. Immediately after the fires, we identified and instrumented eight 28.4–344 ha watersheds (four burned and four unburned) to measure vegetation, soil, water quantity, and water quality responses over the following two years. Within burned watersheds, plots varied in burn severity with up to 100% tree mortality and soil O-horizon loss. Watershed scale high burn severity extent ranged from 5% to 65% of total watershed area. Water quantity and quality responses among burned watersheds were closely related to the high burn severity extent. Total water yield (Q) was up to 39% greater in burned watersheds than unburned reference watersheds. Total suspended solids (TSS) concentration during storm events were up to 168 times greater in samples collected from the most severely burned watershed than from a corresponding unburned reference watershed, suggesting that there was elevated risk of localized erosion and sedimentation of streams. NO₃-N concentration, export, and concentration dependence on streamflow were greater in burned watersheds and increased with increasing high burn severity extent. Mean NO₃-N concentration in the most severely burned watershed increased from 0.087 mg L⁻¹ in the first year to 0.363 mg L⁻¹ (+317%) in the second year. These results suggest that the 2016 wildfires degraded forest condition, increased Q, and had negative effects on water quality particularly during storm events.     

Quality and timing of crowd-based water level class observations

Crowd-based hydrological observations can supplement existing monitoring networks and allow data collection in regions where otherwise no data would be available. In the citizen science project CrowdWater, repeated water level observations using a virtual staff gauge approach result in time series of water level classes (WL-classes). To investigate the quality of these observations, we compared the WL-class data with “real” (i.e., measured) water levels from the same stream at a nearby gauging station. We did this for nine locations where citizen scientists reported multiple observations using a smartphone app and at 12 locations where signposts were set up to ask citizens to record observations on a paper form that could be left in a letterbox. The results indicate that the quality of the data collected with the app was better than for the forms. A possible explanation is that for each app location, a single person submitted the vast majority of the observations, whereas at the locations of the forms almost every observation was made by a different person. On average, there were more contributions between May and September than during the other months. Observations were submitted for a range of flow conditions, with a higher fraction of high flow observations for the locations were data were collected with the app. Overall, the results are encouraging for citizen science approaches in hydrology and demonstrate that the smartphone application and the virtual staff gauge are a promising approach for crowd-based water level class observations.     

River discharge,land use change,and surface water quality in the Xiangjiang River,China

To compare the impacts of river discharge on the surface water quality of the Xiangjiang River in China, 12 surface water quality parameters recorded at 31 sampling sites from January 1998 to December 2008 along the river and its main tributaries were analyzed. Significantly higher concentrations of total nitrogen, ammoniacal nitrogen, and total phosphorus, and biochemical oxygen demand were observed during low‐flow periods than during high‐flow periods, implying a higher risk to local residents drinking untreated water during low‐flow periods. Pollution indexes, including the inorganic pollution index and integrated pollution index (IPI), were negatively related to impervious surface area (ISA) and cropland area (CLA) when ISA (CLA) was less than 160 (3000) km². However, the relationship was positive when ISA (CLA) was larger than 160 (3000) km², which provided a reasonable explanation for the observed spatial patterns of water quality. Distinct increasing temporal trends for two kinds of pollution indexes were also found. The annual ISA was significantly related to the rapid degradation of water quality from 1998 to 2008, with correlation coefficient (r) values of 0.816 (p = 0.002) and 0.711 (p = 0.014) for the organic pollution index (OPI) and IPI, respectively. However, annual rainfall was negatively correlated with the two indexes with r values of 0.785 (p = 0.002) and 0.448 (p = 0.093) for OPI and IPI, respectively. Our study highlights that decision makers should be more aware of recent increases in the pollution of the Xiangjiang River, especially at downriver sites and during low‐flow periods. Copyright © 2013 John Wiley & Sons, Ltd.     

Multivariate adaptive regression splines for estimating riverine constituent concentrations

Regression-based methods are commonly used for riverine constituent concentration/flux estimation, which is essential for guiding water quality protection practices and environmental decision making. This paper developed a multivariate adaptive regression splines model for estimating riverine constituent concentrations (MARS-EC). The process, interpretability and flexibility of the MARS-EC modelling approach, was demonstrated for total nitrogen in the Patuxent River, a major river input to Chesapeake Bay. Model accuracy and uncertainty of the MARS-EC approach was further analysed using nitrate plus nitrite datasets from eight tributary rivers to Chesapeake Bay. Results showed that the MARS-EC approach integrated the advantages of both parametric and nonparametric regression methods, and model accuracy was demonstrated to be superior to the traditionally used ESTIMATOR model. MARS-EC is flexible and allows consideration of auxiliary variables; the variables and interactions can be selected automatically. MARS-EC does not constrain concentration-predictor curves to be constant but rather is able to identify shifts in these curves from mathematical expressions and visual graphics. The MARS-EC approach provides an effective and complementary tool along with existing approaches for estimating riverine constituent concentrations.     

高质量发展目标下黄河流域城市居民生活质量的时空格局及障碍因子

提高居民生活质量是实现黄河流域高质量发展的重要目标和具体体现。从居民生活、基础设施、公共服务、生态环境4个方面构建城市居民生活质量评价指标体系,测度2004―2018年黄河流域城市居民生活质量水平,利用核密度估计、ESDA、Dagum基尼系数等方法进行居民生活质量时空格局分析及空间差异测度,并运用障碍因子诊断模型分析影响居民生活质量水平的障碍因子,得出如下结论：① 2004―2018年黄河流域城市居民生活质量高水平区域从下游城市逐渐转移到中上游城市;② 黄河流域城市居民生活质量高?高集聚区主要是内蒙古自治区及相邻区域的城市,低?低集聚区主要是河南省、山东省以及山西省的部分城市;③ 黄河流域城市居民生活质量水平的空间差异从上中下游尺度看主要是区域间净值差异贡献,从左右岸尺度看主要是区域内部差异贡献;④ 黄河流域城市居民生活质量水平的障碍因子主要是人均水资源量、移动电话年末用户数、每万人公园绿地面积、教育支出占财政支出比重、每万人拥有的道路面积与人均可支配收入等,因此在未来的高质量发展中要注重生态环境保护,特别是合理利用水资源,完善城市基础设施与提升公共服务水平。     

中国城市流动人口住房质量的空间分异与影响因素

基于2015年全国1%人口抽样调查和2014年流动人口动态监测调查（CMDS）数据,本文以房屋面积、设施条件、建筑年代和社区类型来衡量流动人口住房质量,运用空间统计工具探讨了中国310个地级及以上行政单元流动人口住房质量的空间分异特征,进而通过空间计量模型考察流动人口住房质量的影响因素。研究发现：① 流动人口住房整体水平虽不及本地居民,但差距并不悬殊;② 流动人口住房质量的空间差异明显,中部地区流动人口住房质量最高,东部、西部和东北地区在住房质量4个方面各有劣势;③ 按照行政等级和规模等级划分,中等城市流动人口住房质量最好,超大城市住房质量最差;④ 流动人口住房质量呈现出显著的空间正相关,但各指标高、低值集聚区的分布格局存在一定差异;⑤ 流动人口个体（内部特征）和流入地（外部特征）因素对流动人口住房质量具有显著影响,分别作用于不同的方面;⑥ 中小城市和大城市流动人口住房质量的决定因素及作用强度不尽相同。