星载GPS伪距测量数据质量分析

研究了星载GPS伪距测量精度评定方法以及粗差的探测方法,用自编的软件对CHAMP卫星和SAC-C卫星的星载GPS实测数据进行了详细的分析.结果表明:随着卫星高度角的不同,多路径效应与伪距测量噪声对星载GPS伪距测量精度的影响在0.5～3.0 m之间;CHAMP和SAC-C星载GPS观测数据中,伪距粗差观测值所占的比例分别达到1.2%和3.0%.     

三级GPS大地控制网观测数据质量检测

介绍了观测数据质量检测在三级GPS大地控制网施测中的重要作用以及观测数据质量检测方法.在此基础上,给出了观测数据质量检测的各种不同指标的定义,并讨论了相互关系;利用TEQC(Translate Edit Quality Check)软件对三级GPS大地控制网青海测区48个测点实测数据进行了质量检测,并结合基线解算结果进行了统计分析.     

Impacts of Depositional Facies and Diagenesis on Reservoir Quality: A Case Study from the Rudist-bearing Sarvak Formation, Abadan Plain, SW Iran

An integrated geological-petrophysical analysis of the rudist-bearing sequence of the Cretaceous Sarvak Formation is given one giant oilfield, and provides an improved understanding of this main reservoir in the Abadan Plain, in the Zagros Basin, SW Iran. The main objective of this study is to evaluate reservoir potential of the Sarvak Formation, and then to utilize the calibrated well log signature to correlate reservoir potential in un-cored wells. Eight main facies are recognized and categori...     

扬州江都区邵伯农田土壤环境质量及生态风险评价

选取扬州邵伯地区作为研究区,根据评价标准（GB 15618—2018）对其农田土壤环境质量及生态风险进行评价。研究区农田土壤中8种重金属元素平均含量均低于农用地污染风险筛选值,除Ni外其余7种重金属元素的平均含量均超过江苏土壤平均背景值,其中Hg含量均值为江苏土壤平均背景值的2.16倍;通过对比内梅罗指数法和综合指数法评价结果,认为综合指数法能更客观准确地反映研究区农田土壤环境质量状况,结果显示研究区农田土壤轻度污染以上样本占总样本的2.35%;研究区农田土壤属中度生态风险,综合潜在风险指数平均值为200.56,主要贡献因子是Hg。     

Invisible face of COVID-19 pandemic on the freshwater environment: An impact assessment on the sediment quality of a cross boundary river basin in Turkey

In the current research,the impact of the COVID-19 lockdown period on sediment quality of the MericErgene River Basin was evaluated by determining the potentially toxic elements（PTEs） in sediment samples collected from 25 sampling points in the basin.Also some important ecological indicators including potential ecological risk index（PERI）,contamination factor（CF）,pollution load index（PLI）,biological risk index（BRI）,and geo-accumulation index(I_geo) and some important statistical indica...     

Characteristics and variation law of wind-blown sand delivered to the Ningxia-Inner Mongolia reach of the Yellow River under a changing environment

Wind-blown sand is one of the key factors affecting the evolution of sediment transport,erosion,and deposition in rivers crossing desert areas.However,the differences and complex variations in the spatial and temporal distribution of the underlying surface conditions are seldom considered in research on the river inflow of wind-blown sand over a long time period.The Yellow River contains a large amount of sediment.The Ningxia-Inner Mongolia reach of the Yellow River was selected as the research ...     

乾陵地震台钻孔体应变观测资料分析

选取乾陵地震台2018—2020年钻孔体应变观测资料,进行完整性、年零漂和观测资料精度分析,通过采样调和分析,评价观测数据质量,并对自然环境变化、仪器系统故障和人为干扰对观测数据的影响进行分析,探讨该台钻孔体应变观测映震能力,认为： ①乾陵地震台体应变测项运行良好,观测数据质量较高; ②降雨、气压是影响体应变观测数据的主要干扰因素; ③体应变对全球7级以上、中国6级以上地震同震响应较明显,震级越大,同震响应持续时间越长。     

区域地下水污染综合评价研究现状与建议

区域地下水污染综合评价研究是一项总结区域地下水水质特征、评估地下水水质和污染状况、分析其驱动机制、研判其演化趋势的重要基础性工作,也是地下水污染防控以及水质改善的重要依据。受水文地质领域一些传统概念、观念以及技术方法的限制,在水质综合评价、污染评价、天然劣质水与污染的区分、人类活动影响等方面存在诸多问题和挑战,认知的科学性和可靠性不断受到质疑,给政府管理部门的应用和决策带来困惑。本研究通过梳理分析近年来区域地下水污染综合评价的研究现状,回顾总结了在水质综合评价、背景值、污染评价、劣质水和劣变水评估以及人类活动识别等方面存在的问题,提出了几点认识和建议:(1)“指标分类评价-组合表达”的水质及污染综合评价思路,可为解决现阶段水质及污染综合评估容易造成歧义和误导的问题提供新的方向;(2)视背景值的建立不仅能够解决传统概念背景值无法获取的问题,还能有效进行污染判定、劣质水和劣变水评估以及人类活动识别,是一项亟待全面开展的基础性工作;(3)劣质水和劣变水概念及评价思路的提出,对区分天然劣质水和污染水具有借鉴意义,在科学回答这两类水对我国地下水水质的影响、帮助决策者理解水质不安全成因等方面有重要意义,但是方法学方面需要进一步探讨;(4)对人类活动影响的识别和量化,进一步推动了对输入型污染、诱导型水质恶化以及水化学场变化所引起的各种水质问题的认识,进而对判断水质演化趋势、污染防控、分类解决水质问题具有重要的意义。     

Evaluation and comparison of CMIP6 models and MERRA-2 reanalysis AOD against Satellite observations from 2000 to 2014 over China

Rapid industrialization and urbanization along with a growing population are contributing significantly to air pollution in China. Evaluation of long-term aerosol optical depth (AOD) data from models and reanalysis, can greatly promote understanding of spatiotemporal variations in air pollution in China. To do this, AOD (550 nm) values from 2000 to 2014 were obtained from the Coupled Model Inter-comparison Project (CIMP6), the second version of Modern-Era Retrospective analysis for Research, and Applications (MERRA-2), and the Moderate Resolution Imaging Spectroradiometer (MODIS; flying on the Terra satellite) combined Dark Target and Deep Blue (DTB) aerosol product. We used the Terra-MODIS DTB AOD (hereafter MODIS DTB AOD) as a standard to evaluate CMIP6 Ensemble AOD (hereafter CMIP6 AOD) and MERRA-2 reanalysis AOD (hereafter MERRA-2 AOD). Results show better correlations and smaller errors between MERRA-2 and MODIS DTB AOD, than between CMIP6 and MODIS DTB AOD, in most regions of China, at both annual and seasonal scales. However, significant under- and over-estimations in the MERRA-2 and CMIP6 AOD were also observed relative to MODIS DTB AOD. The long-term (2000–2014) MODIS DTB AOD distributions show the highest AOD over the North China Plain (0.71) followed by Central China (0.69), Yangtse River Delta (0.67), Sichuan Basin (0.64), and Pearl River Delta (0.54) regions. The lowest AOD values were recorded over the Tibetan Plateau (0.13 ± 0.01) followed by Qinghai (0.19 ± 0.03) and the Gobi Desert (0.21 ± 0.03). Large amounts of sand and dust particles emitted from natural sources (the Taklamakan and Gobi Deserts) may result in higher AOD in spring compared to summer, autumn, and winter. Trends were also calculated for 2000–2005, for 2006–2010 (when China introduced strict air pollution control policies during the 11th Five Year Plan or FYP), and for 2011–2014 (during the 12th FYP). An increasing trend in MODIS DTB AOD was observed throughout the country during 2000–2014. The uncontrolled industrialization, urbanization, and rapid economic development that mostly occurred from 2000 to 2005 probably contributed to the overall increase in AOD. Finally, China's air pollution control policies helped to reduce AOD in most regions of the country; this was more evident during the 12th FYP period (2011–2014) than during the 11th FYP period (2006–2010). Therefore this study strongly advises the authority to retain or extend these policies in the future for improving air quality.     

Surface air temperature changes over the Tibetan Plateau: Historical evaluation and future projection based on CMIP6 models

With its amplification simultaneously emerging in cryospheric regions, especially in the Tibetan Plateau, global warming is undoubtedly occurring. In this study, we utilized 28 global climate models to assess model performance regarding surface air temperature over the Tibetan Plateau from 1961 to 2014, reported spatiotemporal variability in surface air temperature in the future under four scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5), and further quantified the timing of warming levels (1.5, 2, and 3 °C) in the region. The results show that the multimodel ensemble means depicted the spatiotemporal patterns of surface air temperature for the past decades well, although with differences across individual models. The projected surface air temperature, by 2099, would warm by 1.9, 3.2, 5.2, and 6.3 °C relative to the reference period (1981–2010), with increasing rates of 0.11, 0.31, 0.53, and 0.70 °C/decade under the SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 scenarios for the period 2015–2099, respectively. Compared with the preindustrial periods (1850–1900), the mean annual surface air temperature over the Tibetan Plateau has hit the 1.5 °C threshold and will break 2 °C in the next decade, but there is still a chance to limit the temperature below 3 °C in this century. Our study provides a new understanding of climate warming in high mountain areas and implies the urgent need to achieve carbon neutrality.