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。     

1917号台风“塔巴”对浙江沿海风场的影响及其成因分析

通过分析浙江省区域自动站加密资料、常规观测资料、NCEP/NCAR 1°×1°和0.25°×0.25°再分析资料以及卫星TBB (Black Body Temperature)资料,研究2019年第17号台风"塔巴"影响期间,浙江沿海风场分布的特点及其成因,以寻找台风影响时浙江沿海风场预报的着眼点。此次台风大风具有影响时间早、持续时间长、影响范围大和大风强度强的特点。台风环流与浙江沿海地面弱冷空气之间形成一定气压梯度的堆积,以及后续随着台风环流的发展加强,两者之间气压梯度进一步增大,是导致此次台风大风提早出现的原因之一。垂直环流有利于水平的动量输送和高层动量下传,导致此次台风大风范围大、强度强。冷空气在这次台风大风中起到非常重要的作用。随着台风外围环流与冷空气距离拉近,部分干冷空气侵入台风环流,冷、暖气团之间θse等值线密集,环流附近风速增强。由于干冷空气的继续侵入,冷、暖空气相互作用累积并释放斜压能。同时台风低层的暖心结构被冷空气占据,高层暖心结构上抬,形成上暖下冷的中心结构,导致台风开始变性减弱。地形的辐合、阻挡和摩擦作用对风场的再分布也有一定影响。     

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。     

Drying increases organic colloidal mobilization in the karst vadose zone: Evidence from a 15-year cave-monitoring study

Understanding the hydrological processes of colloids within the karst vadose zone is vital to the security of karst groundwater and providing appropriate paleohydrological explanations of colloid-facilitated metals in speleothem. This study addresses the mobilization mechanisms driving colloidal organic matter (COM) transport in the karst vadose zone using a 15-year long monthly monitoring dataset from a cave drip point (HS4) in Heshang Cave, Qingjiang Valley, China. Variations in COM concentrations were reported as the fluorescence difference values of raw and filtered (<0.22 μm) samples at an excitation wavelength of 320 nm and emission wavelength of ~400 nm. A fluorescence humification index (HIX) lower than 0.8 and an autochthonous index (BIX) higher than 1.2 indicated that the origin of COM was mainly from the karst vadose zone, rather than the soil zone. The COM concentration varied from 0.001 to 0.038 Raman Unit (RU), with evident seasonal fluctuations. Rising limbs for COM values occurred prior to rising limbs within a dripwater hydrograph; moreover, the COM peak values corresponding to the beginning of the increasing hydrograph generally suggested that the mobilization of COM reflected the movement of the air–water interface (AWI) in the karst vadose zone rather than rainfall intensity or flow velocity. COM peak values were positively correlated with the antecedent drying duration and negatively correlated with HIX values. These phenomena may be explained by the increased amount of organic matter that was aggregated and absorbed on the surface of carbonate in the karst vadose zone during a longer drying duration. Moreover, the longer drying duration was also beneficial to autochthonous biological activity, which subsequently decreased the HIX value of the organic matter in the karst vadose zone. The movement of AWI and the drying duration are both controlled by the outside weather conditions. This study is therefore conducive to evaluating the security of karst groundwater in response to climate change, and challenges prevailing paleoclimate interpretations of colloid-facilitated metal abundance timeseries reported from speleothems.     

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。