A two-layer model for studying 2D dissolved pollutant runoff over impermeable surfaces

Dissolved pollutants in stormwater are a main contributor to water pollution in urban environments. However, many existing transport models are semi-empirical and only consider one-dimensional flows, which limit their predictive capacity. Combining the shallow water and the advection–diffusion equations, a two-dimensional physically based model is developed for dissolved pollutant transport by adopting the concept of a ‘control layer’. A series of laboratory experiments has been conducted to validate the proposed model, taking into account the effects of buildings and intermittent rainfalls. The predictions are found to be in good agreement with experimental observations, which supports the assumption that the depth of the control layer is constant. Based on the validated model, a parametric study is conducted, focusing on the characteristics of the pollutant distribution and transport rate over the depth. The hyetograph, including the intensity, duration and intermittency, of rainfall event has a significant influence on the pollutant transport rates. The depth of the control layer, rainfall intensity, surface roughness and area length are dominant factors that affect the dissolved pollutant transport. Finally, several perspectives of the new pollutant transport model are discussed. This study contributes to an in-depth understanding of the dissolved pollutant transport processes on impermeable surfaces and urban stormwater management.     

Impacts of small cascaded hydropower plants on river discharge in a basin in Southern China

The run‐off volume altered by the construction of hydropower plants affects ecohydrological processes in catchments. Although the impacts of large hydropower plants have been well documented in the literature, few studies have been conducted on the impacts of small cascaded hydropower plants (SCHPs). To evaluate the impacts of SCHPs on river flow, we chose a representative basin affected by hydropower projects and, to a lesser degree, by other human activities, that is, the Qiuxiang River basin in Southern China. The observed river discharge and climate data during the period of 1958–2016 were investigated. The datasets were divided into a low‐impact period and a high‐impact period based on the number of SCHPs and the capacities of the reservoirs. The daily river discharge alteration was assessed by applying the Indicators of Hydrologic Alteration. To separate the impact of the SCHPs on the local river discharge from that of climate‐related precipitation, the back‐propagation neural network was used to simulate the monthly average river discharge process. An abnormal result was found: Unlike large reservoirs in large watersheds, the SCHPs regulated the flows during the flood season but were not able to mitigate the droughts during the dry season due to their limited storage and the commonly occurring inappropriate interregulations of the SCHPs. The SCHPs also reduced the annual average river discharge in the research basin. The contribution of the SCHPs to the river discharge changes was 85.37%, much higher than the contributions of climate change (13.43%) and other human activities (1.20%). The results demonstrated that the impacts of the SCHPs were different from those of large dams and reservoirs that regulate floods and relieve droughts. It is necessary to raise the awareness of the impacts of these river barriers.     

Dynamic Prediction Model of Overburden Settlement in Deep Mining Areas based on Space–Time Relationship

Natural Resources Research - Depletion of shallow mineral resources caused by deep mining has become an inevitable trend, and deep mining can increase safety accidents and geological hazards....     

基于教师课堂提问的误区初探 ——以真实课堂案例为例

文章选取了学校地理课堂中若干具有代表性的教师提问案例,以学生是否可以较好地表述答案为依据,分析了教师课堂提问的误区,且分别对课堂提问的误区提出了相应的纠正对策,以期帮助教师在课堂中准确提问。     

Investigating the Changes in Air Pollutant Emissions over the Beijing-Tianjin-Hebei Region in February from 2014 to 2019 through an Inverse Emission Method

In recent years, China has implemented several measures to improve air quality. The Beijing-Tianjin-Hebei(BTH)region is one area that has suffered from the most serious air pollution in China and has undergone huge changes in air quality in the past few years. How to scientifically assess these change processes remain the key issue in further improving the air quality over this region in the future. To evaluate the changes in major air pollutant emissions over this region, this paper employs ens...     

测绘卓越工程师培养模式下测绘工程专业课程设置研究

测绘卓越工程师的培养是高校应对当前社会用人企业的人才需求而提出的一种新的概念,而课程设置的科学性是高等院校培养卓越工程师的一个重要环节。本文以本校的测绘专业为例,提出了课程内容设置依据以及新的课程实施方式,并对其进行了详细研究。     

冬季蒙古反气旋和伊朗反气旋的年代际变化特征

根据NCEP/NCAR再分析资料,采用客观判定和追踪方法,研究了1948~2013年欧亚地区冬季温带反气旋的年代际气候变化的活动特征。结果发现,反气旋的高频分布区也是反气旋气候变化最大的区域,其中蒙古高原和伊朗高原的反气旋最活跃。反气旋的频数和强度既有长期趋势也有年代际变化。蒙古高原和伊朗高原的反气旋频数具有明显的年代际变化特征。反气旋频数具有2~6年和16~30年周期,且具有变频特征。EOF分解发现蒙古高原和伊朗高原的反气旋频数分布均在较高纬度和较低纬度地区呈现显著相反的偶子极态分布形式。蒙古高原的反气旋强度的变化基本可以体现欧亚大陆反气旋强度的变化。反气旋分布和强度的年代际变化可以用对流层低层经向温度梯度表示的斜压锋的位置和强度的年代际变化来解释,但斜压锋对欧亚反气旋的影响具有区域性。蒙古高原的反气旋在1960~1975年50°N以北较多,1990~2005年50°N以南较多的偶极子态变化与80°~120°E区域的斜压锋纬度位置自55°N南移到45°N有密切关系,30°~80°E区域的斜压锋纬度位置变化不能单独解释伊朗高原反气旋偶极子态年代际变化。自21世纪00年代中期斜压锋偏强对反气旋强度偏强有重要影响。     

Developing the science product algorithm testbed for Chinese next-generation geostationary meteorological satellites: Fengyun-4 series

Fengyun-4A (FY-4A), the first of the Chinese next-generation geostationary meteorological satellites, launched in 2016, offers several advances over the FY-2: more spectral bands, faster imaging, and infrared hyperspectral measurements. To support the major objective of developing the prototypes of FY-4 science algorithms, two science product algorithm testbeds for imagers and sounders have been developed by the scientists in the FY-4 Algorithm Working Group (AWG). Both testbeds, written in FORTRAN and C programming languages for Linux or UNIX systems, have been tested successfully by using Intel/g compilers. Some important FY-4 science products, including cloud mask, cloud properties, and temperature profiles, have been retrieved successfully through using a proxy imager, Himawari-8/Advanced Himawari Imager (AHI), and sounder data, obtained from the Atmospheric InfraRed Sounder, thus demonstrating their robustness. In addition, in early 2016, the FY-4 AWG was developed based on the imager testbed—a near real-time processing system for Himawari-8/AHI data for use by Chinese weather forecasters. Consequently, robust and flexible science product algorithm testbeds have provided essential and productive tools for popularizing FY-4 data and developing substantial improvements in FY-4 products.     

A nowcasting technique based on application of the particle filter blending algorithm

To improve the accuracy of nowcasting, a new extrapolation technique called particle filter blending was configured in this study and applied to experimental nowcasting. Radar echo extrapolation was performed by using the radar mosaic at an altitude of 2.5 km obtained from the radar images of 12 S-band radars in Guangdong Province, China. The first bilateral filter was applied in the quality control of the radar data; an optical flow method based on the Lucas–Kanade algorithm and the Harris corner detection algorithm were used to track radar echoes and retrieve the echo motion vectors; then, the motion vectors were blended with the particle filter blending algorithm to estimate the optimal motion vector of the true echo motions; finally, semi-Lagrangian extrapolation was used for radar echo extrapolation based on the obtained motion vector field. A comparative study of the extrapolated forecasts of four precipitation events in 2016 in Guangdong was conducted. The results indicate that the particle filter blending algorithm could realistically reproduce the spatial pattern, echo intensity, and echo location at 30- and 60-min forecast lead times. The forecasts agreed well with observations, and the results were of operational significance. Quantitative evaluation of the forecasts indicates that the particle filter blending algorithm performed better than the cross-correlation method and the optical flow method. Therefore, the particle filter blending method is proved to be superior to the traditional forecasting methods and it can be used to enhance the ability of nowcasting in operational weather forecasts.     

地勘基金成果管理系统的设计与开发

本文在分析国内地质资料信息化服务现状的基础上,以地勘基金成果数据为管理对象,搭建了地勘基金成果管理系统,并以贵州省地勘基金成果数据为例,实现了该地区地勘基金项目、整装勘查项目地质数据的有效管理与查询,为地质资料的管理与应用提供了科学的决策支持.