The aboveground biomass of desert steppe and its spatiotemporal variation in western Inner Mongolia

A precise understanding of the aboveground biomass of desert steppe and its spatio-temporal variation is important to understand how arid ecosystems respond to climate change and to ensure that scarce grassland resources are used rationally. On the basis of 756 ground survey quadrats sampled in western Inner Mongolia steppe in 2005–2011 and remote sensing data from the Moderate Resolution Imaging Spectroradiometer (MODIS)—the normalized difference vegetation index (NDVI) dataset for the period of 2001–2011—we developed a statistical model to estimate the aboveground biomass of the desert steppe and further explored the relationships between aboveground biomass and climate factors. The conclusions are as follows: (1) the aboveground biomass of the steppe in the research area was 5.27 Tg (1 Tg=10¹² g) on average over 11 years; between 2001 and 2011, the aboveground biomass of the western Inner Mongolia steppe exhibited fluctuations, with no significant trend over time; (2) the aboveground biomass of the steppe in the research area exhibits distinct spatial variation and generally decreases gradually from southeast to northwest; and (3) the important factor causing interannual variations in aboveground biomass is precipitation during the period from January to July, but we did not find a significant relationship between the aboveground biomass and the corresponding temperature changes. The precipitation in this period is also an important factor influencing the spatial distribution of aboveground biomass (R²=0.39, P<0.001), while the temperature might be a minor factor (R²=0.12, P<0.01). The uncertainties in our estimate are primarily due to uncertainty in converting the fresh grass yield estimates to dry weight, underestimates of the biomass of shrubs, and error in remote sensing dataset.     

基于局部一维模型与走时标定的区域三维速度模型构建技术研究

构建区域介质三维速度模型并以之获得准确的区域震相走时,是提高区域地震定位精度的重要手段之一.为充分利用已有的一维模型、GT事件、地质资料等实现三维模型构建,尝试基于目标区域内已有的部分局部一维模型,通过克里金空间插值建立初始三维模型,然后利用GT事件走时数据并参考其它地震地质资料对其不断进行修正,使得其走时偏差图与GT事件走时偏差图一致,进而获得能够提高区域地震定位精度的三维模型.使用不同模型进行的地震定位实验表明,以此方法建立的三维模型的定位偏差较初始模型减少约20％,较好地起到了减小区域震相走时残差,提高区域地震定位精度的作用.     

Application of a multi‐temporal,LiDAR‐derived,digital terrain model in a landslide‐volume estimation

Sediments produced by landslides are crucial in the sediment yield of a catchment, debris flow forecasting, and related hazard assessment. On a regional scale, however, it is difficult and time consuming to measure the volumes of such sediment. This paper uses a LiDAR‐derived digital terrain model (DTM) taken in 2005 and 2010 (at 2 m resolution) to accurately obtain landslide‐induced sediment volumes that resulted from a single catastrophic typhoon event in a heavily forested mountainous area of Taiwan. The landslides induced by Typhoon Morakot are mapped by comparison of 25 cm resolution aerial photographs taken before and after the typhoon in an 83.6 km² study area. Each landslide volume is calculated by subtraction of the 2005 DTM from the 2010 DTM, and the scaling relationship between landslide area and its volume are further regressed. The relationship between volume and area are also determined for all the disturbed areas (V_L = 0.452A_L^1.242) and for the crown areas of the landslides (V_L = 2.510A_L^1.206). The uncertainty in estimated volume caused by use of the LiDAR DTMs is discussed, and the error in absolute volume estimation for landslides with an area >10⁵ m² is within 20%. The volume–area relationship obtained in this study is also validated in 11 small to medium‐sized catchments located outside the study area, and there is good agreement between the calculation from DTMs and the regression formula. By comparison of debris volumes estimated in this study with previous work, it is found that a wider volume variation exists that is directly proportional to the landslide area, especially under a higher scaling exponent. Copyright © 2013 John Wiley & Sons, Ltd.     

滇9井水温在5.0级以上近震前的异常动态特征

对滇9井水温观测资料的日均值动态变化、30天滑动均值动态变化和残差滑动均值动态变化进行了研究.结果表明:水温日均值动态变化在距该井40 km范围内≥5.0级中强地方震前,具有异常幅度较大、映震时间极短的显著临震特征;水温30天滑动均值连续上升动态变化在距该井500 km范围内≥5.0级中强近震前,具有异常幅度显著、映震时间多数在3个月内的短临特征;水温30天滑动均值连续下降动态变化在距该井250～450 km范围内≥6.0级中强近震前,具有异常幅度大、映震强度大、时间稍长的中期特征.因此,滇9井水温动态变化异常对中短临预报效果明显,特别是水温日均值动态变化异常具有地方震临震指示意义,对实现临震预报有一定的实践意义.     

芦山地震前康定地温变化现象

近年来,中国大陆强震主要发生在巴颜喀拉地块周边,该地块成为近期中国大陆强震主体地区.在一些关键构造部位,开展地壳活动信息监测具有重要的实际意义.作者所在研究组专门研发了适于野外观测的无线地温遥测设备,在鲜水河断裂带建立了无线地温遥测台网.在2013年4月20日的芦山地震前后,观测到了一些值得关注的现象:从2013年1月31日开始,康定地温出现持续变化,并与台站周围小震活动存在良好的对应关系.根据温度与力之间的关系,基岩温度突变的内在本质是应力调整.从构造角度看,龙门山断裂带和鲜水河断裂带同属于巴颜喀拉地块的不同边界,康定测点与芦山地震之间存在关联性,上述温度变化可能与芦山地震有关.     

对1970云南通海地震参数、伤亡、公布形式质疑的商榷

1970云南通海大地震造成15 621人丧生,是1949年建国以来仅次于唐山地震与汶川地震死亡人数最多的地震。由于在特定历史时期发生的地震,因而在社会上对这个地震的情况产生了质疑,质疑最终的结果是贬低本次地震的部分工作,这与过去所做的结论有冲突,就此,本文就质疑的地名、震级、伤亡人数及公布方式等相关问题,从文献与档案资料进行调查研究和分析,回复质疑并对历史真实情况及事件发生的原委得出结论。     

发震构造呈复杂空间关系下相互影响发震的机理研究——以汶川地震为例

对发震构造呈复杂几何关系(发震构造在平面投影呈非平行关系)下彼此发震影响的机理进行了研究.从发震的“垂震底继”影响关系研究了1933年迭溪地震M7.5和1976年松潘Ms7.2地震对后来发生汶川M8地震的龙门山地震构造的孕震能量叠加的加震作用;同时也指出汶川8级地震对周边断裂的减震作用,计算并指出了其影响减震的距离.研究对CPSHA中对发震构造呈复杂几何关系时,如何确定地震带内各潜在的震源空间分布函数fi,mj提供了大震加减震的判断理论依据.还讨论了汶川地震孕震模式的更复杂性,针对某些用巴颜喀拉块体向东南方向移动挤压龙门山孕震构造,进而解释汶川地震的逆冲性所带来的矛盾的观点,对其孕震的复杂性提出了问题所在和初步探讨.     

利用Terra和Aqua卫星地表温度探索汶川地震同震热响应

如何从卫星热红外遥感影像中提取出可靠的、能够验证的、与构造活动有关的热信息,是利用热红外信息研究构造现今活动亟待完善的问题之一.从信息提取的角度看,地震前后所对应的物理变化最为强烈,同震热响应可能是利用热信息探索现今构造活动潜在的突破点.本文以MODIS/Terra和MODIS/Aqua两颗卫星的地表温度为基础,探索汶川地震同震热响应.首先,去除了由地形等静态因素和太阳年周期组成的稳定背景;其次,去除大气环流的影响,获得由本地因素产生的原地温度场.最后,在原地温度场中,发现了汶川地震的同震温度响应.经过检验,上述温度响应的空间展布形态与发震断层的活动方式产生的力学效应吻合.从应力变化与温度响应的关系看,本文相当于借助热信息获得了汶川地震同震拉张或卸载区的空间展布情况.     

Application of synoptic-scale anomalous winds predicted by medium-range weather forecast models on the regional heavy rainfall in China in 2010

Atmospheric winds from observations and medium-range weather forecast model predictions can be physically decomposed as daily climate wind,planetary-scale anomalous wind,and synoptic-scale anomalous wind.The 850 hPa synoptic-scale anomalous winds were extracted from the numerical model outputs of the European Centre for Medium-Range Weather Forecasts(ECMWF) and the NCEP Global Forecast System(GFS).The results showed that most rain bands in eastern China in 2010 were located along the anomalous convergence lines.To predict the major rain bands by these convergence lines in 2010,the accuracies of the ECMWF products were 100%,85%,and 15% for leading 3,6,and 9 days,while the GFS products showed 53%,15%,and 6% accuracies,respectively.In comparison of the regional heavy rainfalls between observation and the ECMWF model prediction,the useful leading information was about 3.1 days for direct model rain prediction and 6.7 days for convergence systems predicted by ECMWF model.     

Ecological Risk Assessment of Benzo[a]pyrene in Yellow River Delta

Ecological risk assessment is of great significance to promoting the rational management effectively for the oil‐polluted areas. A comprehensive evaluation method of ecological risk, including probabilistic risk assessment and regional ecological risk assessment, is developed through employing the contaminant benzo[a]pyrene as an indicator to assess ecological risk of five oil mining plots, respectively in Yellow River Delta. In this study, firstly we evaluate the ecological risk probability of five oil mining plots using overlapping area of probabilistic curves, and the results show that local ecological risk varies between the maximum 0.4 and the minimum 0.01. Then we overlay boundaries of five administrative divisions in Yellow River Delta and the spatial distribution patterns of ecosystems to generate new risk receptor plaques, and calculate the integrated value of 30 specifically classified plaques for comprehensive evaluation of ecological risk. The results, fluctuating within the range of 0.00005 and 0.25, indicate that local government should be vigilant to ecological risk of benzo[a]pyrene to some extent, although the current situation is not severe in whole.