Another Year of Record Heat for the Oceans

Changes in ocean heat content(OHC), salinity, and stratification provide critical indicators for changes in Earth’s energy and water cycles. These cycles have been profoundly altered due to the emission of greenhouse gasses and other anthropogenic substances by human activities, driving pervasive changes in Earth’s climate system. In 2022, the world’s oceans, as given by OHC, were again the hottest in the historical record and exceeded the previous 2021 record maximum.According to IAP/CAS data, ...     

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...     

DPM模型在塔克拉玛干沙漠地区的适用性研究

局限于仅有观测数据的情况下,利用模拟手段研究土壤风蚀引起的粉尘释放是非常必要的,有助于评估区域土壤风蚀及大气环境质量和气候效应。本文通过分析塔克拉玛干沙漠观测站不同高度层风速及计算平均摩阻风速,利用DPM模型计算粉尘释放通量,综合分析了摩阻风速与粉尘释放通量的相互关系。结果表明：1）不同观测日不同高度层的风速变化各不相同,2m高度层风速的变化范围是0.05～7.73 m·s-1,4m高度层风速的变化范围是0.09～7.19 m·s-1,10m高度层风速的变化范围是0.5～8.09 m·s-1。2）4月1日～4月30日各个观测日24小时内平均摩阻风速分别为0.423 m·s-1、0.344 m·s-1、0.271 m·s-1、0.343 m·s-1、0.161 m·s-1、0.315 m·s-1,其变化范围为0.16～0.42 m·s-1。3）DPM模型研究发现实测跃移通量约为模拟值的122%,模拟值与实测值相关性较好,R2为0.91。上述研究结果对定量评估区域乃至全疆的土壤风蚀对粉尘释放通量的影响具有重要意义。     

矿山三维GIS平台的设计与实现

本文对SpacEyes3D平台下的三维可视化技术进行了探讨,研究了在SpacEyes3D平台下建立矿山三维GIS平台的方法,并基于c#开发语言应用插件编程建立了矿山三维GIS平台。     

Statistical estimation of high-resolution surface air temperature from MODIS over the Yangtze River Delta,China

High-resolution surface air temperature data are critical to regional climate modeling in terms of energy balance, urban climate change, and so on. This study demonstrates the feasibility of using Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) to estimate air temperature at a high resolution over the Yangtze River Delta region, China. It is found that daytime LST is highly correlated with maximum air temperature, and the linear regression coefficients vary with the type of land surface. The air temperature at a resolution of 1 km is estimated from the MODIS LST with linear regression models. The estimated air temperature shows a clear spatial structure of urban heat islands. Spatial patterns of LST and air temperature differences are detected, indicating maximum differences over urban and forest regions during summer. Validations are performed with independent data samples, demonstrating that the mean absolute error of the estimated air temperature is approximately 2.5°C, and the uncertainty is about 3.1°C, if using all valid LST data. The error is reduced by 0.4°C (15%) if using best-quality LST with errors of less than 1 K. The estimated high-resolution air temperature data have great potential to be used in validating high-resolution climate models and other regional applications.     

GPS/BDS short-term ISB modelling and prediction

GPS Solutions - The Chinese BeiDou Navigation Satellite System (BDS) has completed its first milestone by providing coverage of the Asia–Pacific area navigation service since December 27,...     

A new method for GLONASS inter-frequency bias estimation based on long baselines

GPS Solutions - Frequency division multiplexing of GLONASS signals causes inter-frequency bias (IFB) in receiving equipment. IFB significantly increases the difficulties of fixing GLONASS...     

Estimation of hourly and daily evapotranspiration and soil moisture using downscaled LST over various urban surfaces

Surface moisture is important to link land surface temperature (LST) to people’s thermal comfort. In urban areas, the surface roughness from buildings and urban trees impacts wind speed, and consequently surface moisture. To find the role of surface roughness in surface moisture estimation, we developed methods to estimate daily and hourly evapotranspiration (ET) and soil moisture, based on a case study of Indianapolis, Indiana, USA. In order to capture the spatial and temporal variations of LST, hourly and daily LST was produced by downscaling techniques. Given the heterogeneity in urban areas, fractions of vegetation, soil, and impervious surfaces were calculated. To describe the urban morphology, surface roughness parameters were calculated from digital elevation model (DEM), digital surface model (DSM), and Terrestrial Light Detection and Ranging (LiDAR). Two source energy balance (TSEB) model was employed to generate ET, and the temperature vegetation index (TVX) method was used to calculate soil moisture. Stable hourly soil moisture fluctuated from 15% to 20%, and daily soil moisture increased due to precipitation and decreased due to seasonal temperature change. ET over soil, vegetation, and impervious surface in the urban areas yielded different patterns in response to precipitation. The surface roughness from high-rise has bigger influence on ET in central urban areas.     

中亚沙尘气溶胶时空分布特征及潜在扩散特性分析

中亚地处干旱和半干旱气候区,是全球沙尘气溶胶贡献度较大的区域。利用中分辨率成像光谱仪（Moderate-resolution Imaging Spectrometer, MODIS）和云—气溶胶偏振雷达（Cloud-Aerosol Lidar with Orthogonal Polarization, CALIOP）遥感数据,从宏观角度对2002-2015年中亚地区气溶胶光学厚度（Aerosol Optical Depth, AOD）时空分布特征及沙尘气溶胶光学特性垂直分布特征进行分析,利用拉格朗日混合型的扩散模型（Hybrid Single Particle Lagrangian Integrated Trajectory, HYSPLIT）讨论沙尘运输的季节性变化。结果表明：① 中亚AOD空间分布呈现显著的季节性差异,四季均值春（0.412）>夏（0.258）>冬（0.167）>秋（0.159）,14年间呈现增加趋势;② 中亚AOD高值区域主要集中于咸海地区和新疆的塔里木盆地,其中,咸海地区AOD年均值为0.278,年均增幅为3.175%,主要受咸海退化所导致的干涸湖底裸露面积加大的影响;塔克拉玛干沙漠地区AOD年均值为0.421,年均增幅0.062%,主要受温度和风速两方面的影响,不同季节下主导因素略有差异;③ 尘源区气溶胶主要集中在近地面0~2 km范围内,沙漠上空气溶胶退偏比范围（10%~45%）略大于咸海上空（15%~30%）;咸海地区色比值（0.3~0.8）小于沙漠地区（0.5~0.9）,且在0~2 km和4~6 km有两个高频色比值分别为0.5和0.3,说明相比沙尘气溶胶,咸海地区的盐尘气溶胶球形程度较高,颗粒更小,飘散高度更高;④ 咸海地区盐尘潜在扩散方向主要以东北,西南和南为主,向东北方向的扩散距离最远,影响范围可达俄罗斯中部地区,西南方向扩散路径高度和距离较近,主要影响乌兹别克斯坦和土库曼斯坦,但发生比例相对较高,塔克拉玛干沙漠地区起尘后大部分沙尘颗粒仍沉降在尘源区附近,向东部地区扩散的沙尘气溶胶,主要影响中国青海、甘肃、宁夏、陕西等地区。     

Bargaining for nature: treating the environment in China’s urban planning practice

ABSTRACT

In much of the contemporary academic inquiry and political discourse on Chinese cities, urban entrepreneurialism and environmentalism often appear to be analyzed disjointedly and unreflectively. They are portrayed as two conflicting interests. Commentators also view urban planners as a homogenous group of professionals and/or state agents being forced to give up environmental goals to pursue economic value of space. Using the case of Tianjin Eco-City planning, this article interrogates the bargaining process between the “ecological value” and “commodity narrative”. It offers three major arguments. First, even though the discourse of environmental sustainability has been used to legitimize economic transformation, ecological demands are creating new pressures on entrepreneurial urban governance. Second, rather than treating Chinese planners as a fully constituted, internally coherent, organizationally-fixed, and operationally-consistent group, they should be viewed as hybrid, and diverse entities that represent divergent and sometimes contentious state interests. Third, planners, though still under tremendous pressure from landed interests, can become active players to positively influence urban transformation toward more environmental care.