Distribution of suspended particulate matter in the northern Bohai Bay in summer and its relation with thermocline

Field observations of suspended particulate matter (SPM) in the Bohai Bay, China have not been widely reported. The aim of this paper is to describe the horizontal and vertical distribution of mass and volume concentrations of SPM, respectively, based on observed data at 312 stations in the northern Bohai Bay during summer of 2006. A numerical model ECOMSED coupled with a sediment transport module was also established to further discuss the mechanism of the thermocline effect on the vertical distribution of SPM. The mass concentrations of SPM exhibited high inshore values and low offshore values in the horizontal distribution; while in the vertical direction, characteristics of the volume concentration of SPM can be divided into two types: one with a sharp peak at depth of 10–15 m and another without. The peak value at the depth of the thermocline was resulted from concentrated phytoplankton. A numerical experiment further displayed that the thermocline can also prevent particles from being resuspended upward.     

海冰形变对北极冬季CICE模式冰厚模拟结果的影响

海冰数值模式是研究海冰动力热力状态参量及之间联系的有效途径。目前对冰厚数值模拟结果的分析远远少于对海冰范围/面积和密集度的研究,对冰速与海冰形变对冰厚分布影响的研究也尚欠缺。本文利用Los Alamos sea ice model（CICE）海冰模式模拟了1980−2018年的北极海冰变化,并使用遥感、同化冰厚数据进行比对验证,分析了模拟冰速和海冰形变对冰厚的影响,计算了冰速的散度和切变偏差对冰厚偏差的贡献。结果显示,CICE对北极70°N以北区域平均冰厚和冰速的年际变化模拟基本合理,但模拟的平均冰厚和冰速多年变化趋势均小于同化数据的变化率;模拟和观测冰厚的空间分布差异与冰速和形变率的偏差有密切联系,主要表现为波弗特海的正偏差和北极中央区至弗拉姆海峡的负偏差。泛北极区域散度和切变偏差在3月之前对冰厚偏差的贡献在13%～16%之间变化,3−4月则由16%跃变至27%。散度偏差主导了11月、12月波弗特海区域的冰厚正偏差,切变偏差主导了冬季加拿大群岛以北海域和穿极流区域的冰厚负偏差。     

苡茨河泥石流地质灾害及防治

据统计,1992~2013年苡茨河曾多次发生泥石流地质灾害,并造成村民生命财产巨大损失。2013年7月24日再次爆发泥石流,破坏农田71280m2(108亩)。因此在对苡茨河泥石流形成条件、活动特征分析基础上,分析其泥石流的形成机制及其造成巨大危害的原因,预测其发展趋势,在已有治理措施的基础上,提出两种防治对策进行对比,得出一个较为合理的防治方案。     

Markov Chain Random Fields for Estimation of Categorical Variables

Multi-dimensional Markov chain conditional simulation (or interpolation) models have potential for predicting and simulating categorical variables more accurately from sample data because they can incorporate interclass relationships. This paper introduces a Markov chain random field (MCRF) theory for building one to multi-dimensional Markov chain models for conditional simulation (or interpolation). A MCRF is defined as a single spatial Markov chain that moves (or jumps) in a space, with its conditional probability distribution at each location entirely depending on its nearest known neighbors in different directions. A general solution for conditional probability distribution of a random variable in a MCRF is derived explicitly based on the Bayes’ theorem and conditional independence assumption. One to multi-dimensional Markov chain models for prediction and conditional simulation of categorical variables can be drawn from the general solution and MCRF-based multi-dimensional Markov chain models are nonlinear.     

Water relation characteristics ofAlhagi sparsifolia and consequences for a sustainable management

Water relation characteristics of the desert legumeAlhagi sparsifolia were investigated during the vegetation period from April to September 1999 in the foreland of Qira oasis at the southern fringe of the Taklamakan Desert, Xinjiang Uygur Autonomous Region of China. The seasonal variation of predawn water potentials and of diurnal water potential indicated thatAlhagi plants were well water supplied over the entire vegetation period. Decreasing values in the summer months were probably attributed to increasing temperatures and irradiation and therefore a higher evapotranspirative demand. Data from pressure-volume analysis confirmed thatAlhagi plants were not drought stressed and xylem sap flow measurements indicated thatAlhagi plants used large amounts of water during the summer months. Flood irrigation had no influence on water relations inAlhagi probably becauseAlhagi plants produced only few fine roots in the upper soil layers. The data indicate thatAlhagi sparsifolia is a drought-avoiding species that utilizes ground water by a deep roots system, which is the key characteristic to adjust the hyper-arid environment. Because growth and survival ofAlhagi depends on ground water supply, it is important that variations of ground water depth are kept to a minimum. The study will provide a theoretical basis for the restoration and management of natural vegetation around oasis in arid regions.

     

Has climate change driven spatio-temporal changes of cropland in northern China since the 1970s?

Improving the understanding of cropland change and its driving factors is a current focus for policy decision-makers in China. The datasets of cropland and cropland changes from the 1970s to the 2000s were used to explore whether climate change has produced spatio-temporal changes to cropland in northern China since the 1970s. Two representative indicators of heat and water resources, which are important determinants of crop growth and productivity, were considered to track climate change, including active accumulated temperatures ≥10 °C (AAT10) and the standardized precipitation evapotranspiration index (SPEI). Our results showed that rapid cropland change has occurred in northern China since the 1970s, and the area of cropland reclamation (10.23 million ha) was much greater than that of abandoned cropland (2.94 million ha). In the 2000s, the area of cropland with AAT10 higher than 3,000 °C·d increased, while the area of cropland with an SPEI greater than 0.25 decreased compared to the 1970s, 1980s and 1990s. It appears that climate warming has provided thermal conditions that have aided rapid cropland reclamation in northern China since the 1970s, and drier climatic conditions did not become a limiting factor for cropland reclamation, especially from the 1990s to the 2000s. Approximately 70 % of cropland reclamation areas were located in warmer but drier regions from the 1990s to the 2000s, and approximately 40 % of cropland abandonment occurred in warmer and wetter conditions that were suitable for agriculture during the periods from the 1970s to the 1980s and the 1990s to the 2000s. Our results suggest that climate change can be considered a driving factor of cropland change in the past several decades in northern China, in addition to socioeconomic factors.     

SOME RESULTS OF APPLICATIONS OF STATISTICAL METHOD TO CLIMATE CHANGES AND SHORT-TERM CLIMATE PREDICTION IN CHINA

In recent years, much attention has been paid to climate changes and short-term climate prediction, because the large area climate anomaly has, constantly occurred in many areas of China and of other places in the world since the 1960's. From 1974 to 1981, ten national meetings on climatology in China were held. More than 100 papers were presented at each of these meetings. Two collections of papers presented at these meetings have been printed. At present, in addition to research at meteorological institutes and universities, the research of climate changes and short-term climate prediction is also being carried out in the weather bureaus of the 30 provinces and autonomous regions (including Taiwan). The gaps in the research in this field in China have been filled.     

2006年6月10日浙江飑线FY-2C卫星云图特征

利用国际卫星云气候计划（International Satellite Cloud Climate Program,简称ISCCP）提供的1998—2007年共10 a的深对流路径跟踪资料,统计分析了影响江淮地区对流系统（Convection system,简称CS）的时空分布及其参数特征。结果表明：影响江淮地区的CS主要集中在春夏两季,大多生成于江淮本地及我国中西部地区,呈现以江淮地区为中心的带状分布特征,越靠近江淮区域CS分布越为密集。依据源地不同,将影响江淮地区的CS分为5类,受气候条件与地形地貌的共同作用,各源地CS参数特征差异显著,总体来说CS的水平尺度越大,其生命史、对流云团(Convective clusters,简称CC)数目及水平云温度梯度也越大。其中江淮中心区域（MID）区域CS水平尺度、生命史和CC数目的平均值均为最小;东南（SE）区域CS生命周期以中长周期为主,水平尺度、最大对流比和云温度梯度的平均值最大。梅雨期内江淮地区对流活动频繁,CS的水平尺度大、生命史长、CC数目多。