Spatial distribution and influencing factors of interprovincial terrestrial physical geographical names in China

The interprovincial terrestrial physical geographical entities are the key areas of regional integrated management. In this paper, we analyzed the spatial patterns of the interprovincial terrestrial physical geographical names (ITPGN) from three aspects: numerical features, spatial variance and spatial agglomeration. The influencing factors of the distribution of ITPGN and the implications for the regional management were further discussed. GIS technology was used to visualize the distribution of ITPGN, analyze the spatial agglomeration and the influencing factors of ITPGN. A total of 11,325 ITPGN, including 4243 water ITPGN and 7082 terrain ITPGN, were extracted from the database of “China’s Second National Survey of Geographical Names (2014-2018)”, and the mountain geographical names were the largest type in ITPGN. Hunan Province had the largest number of the names in China, and Shanghai had the smallest number of the names. The spatial variance of the terrain ITPGN was larger than that of the water ITPGN, and the ITPGN showed a significant agglomeration phenomenon in the southern part of China. In addition, the relative elevation and the population had an impact on the distribution of the ITPGN. The largest number of the geographical names occurred in the regions where the relative elevation was between 1000-2000 meters, and where the population was between 40-50 million. Based on the analysis, it was suggested that the government should take the ITPGN as management units, optimize management strategies based on the characteristics of different types of ITPGN, strengthen the naming of unnamed interprovincial terrestrial physical geographical entities and balance the interests in the controversial ITPGN. This study demonstrated that GIS and spatial analysis techniques were useful for the research of ITPGN and the results could provide targeted management suggestions to realize coordinated development in the interprovincial regions.     

Use a Spatial Analysis Model to Assess Habitat Quality in Lashihai Watershed

Habitat quality assessments are of great significance for protecting biodiversity. This study analyzes the changing habitat quality of Lashihai watershed based on SPOT satellite images. We extracted the land use data for Lashihai watershed in Yunnan province for the years 2000 and 2015, and then used an InVEST model to evaluate habitat degradation, habitat quality and habitat scarcity in the study area from 2000 to 2015. Spatial statistical methods were used to determine changes to spatial dynamics. Results indicate that the number of areas with habitat degradation was generally small, and that both the number of areas with habitat degradation and the degree of degradation had fallen noticeably during the fifteen-year study period. In general, the quality of habitats was maintained or improved, while the quality of habitats decreased in only a few areas. The scarcity of habitats for cultivated land had increased, the tension between people and land use was relatively prominent. The reason habitat quality in Lashihai watershed has improved can be attributed to three factors: 1) The policy of returning farmland to forests since 2000 has been well implemented and has achieved remarkable results. Loss of forests from logging and deforestation has basically been eliminated, and great progress has been made restoring the ecological environment. 2) High background value of quality habitat suitability benefits from the research area’s high vegetation coverage. 3) The development of the local tourism economy has transformed the area’s ecological advantages into an economic bonus, greatly increasing the income level and living standards of residents. At the same time, the ecological resource bonus has increased the enthusiasm of residents for ecological protection and has helped to promote the protection of local eco-systems, both reducing ecological degradation and improving habitat quality. At the same time, increasing conflicts between land and people should be addressed. Support is needed to promote development of the ecological economy while continuously reducing ecological degradation and further increasing residents’ income. There must be less reliance on industry and less pressure on both land and people, all the while ensuring that the local economy and ecology can more forward together in a sustainable way.     

THE EFFECTS OF STATION NETWORK DENSITY ON STATISTICAL ANALYSES OF TROPICAL CYCLONE PRECIPITATION

In this paper, 1416 conventional ground-based meteorological observation stations on the mainland of China were subdivided into groups of differing spatial density. Data from each subgroup were then used to analyze variations in the tropical cyclone (TC) precipitation statistics derived from each subgroup across the mainland of China (excluding Taiwan, Hong Kong, and Macao), as well as in two regions (east China and south China) and three provinces (Guangdong, Hainan, and Jiangxi) between 1981 and 2010. The results showed that for the mainland of China, total precipitation, mean annual precipitation, mean daily precipitation, and its spatial distribution were the same regardless of the spatial density of the stations. However, some minor differences were evident with respect to precipitation extremes and their spatial distribution. Overall, there were no significant variations in the TC precipitation statistics calculated from different station density schemes for the mainland of China. The regional and provincial results showed no significant differences in mean daily precipitation, but this was not the case for the maximum daily precipitation and torrential rain frequency. The maximum daily precipitation calculated from the lower-density station data was slightly less than that based on the higher-density station schemes, and this effect should be taken into consideration when interpreting regional climate statistics. The impact of station density on TC precipitation characteristics was more obvious for Hainan than for Guangdong or Jiangxi provinces. In addition, the effects were greater for south China (including Guangxi Zhuang Autonomous region, Guangdong, and Hainan provinces) than east China (including Shandong, Jiangsu, Zhejiang, Shanghai, Fujian, Anhui, and Jiangxi provinces). Furthermore, the analysis proved that the statistical climatic characteristics began to change significantly when the station spacing was between 40 and 50 km, which are close to the mean spacing for all stations across the mainland of China. Moreover, TC areal precipitation parameters, including mean total areal precipitation and mean daily areal precipitation, also began to change significantly when the spacing was between 40 and 50 km, and were completely different when it was between 100 and 200 km.     

A STUDY ON THE ENSEMBLE FORECAST REAL-TIME CORRECTION METHOD

Using real-time correction technology for typhoons, this paper discusses real-time correction for forecasting the track of four typhoons during 2009 and 2010 in Japan, Beijing, Guangzhou, and Shanghai. It was determined that the short-time forecast effect was better than the original objective mode. By selecting four types of integration schemes after multiple mode path integration for those four objective modes, the forecast effect of the multi-mode path integration is better, on average, than any single model. Moreover, multi-mode ensemble forecasting has obvious advantages during the initial 36h.     

利用盐湖氯化镁—石灰制备硅热法炼镁用煅白的实验研究

以盐湖副产水氯镁石为原料,与一定比例的石灰反应得到氢氧化镁和氢氧化钙的混合沉淀物,该混合物经过滤、洗涤、烘干后在一定温度下煅烧得到符合皮江法炼镁用的合成煅白。实验结果表明,该工艺是可行的,在石灰/氯化镁摩尔比2.05~2.10∶1,反应时间1.0h,煅烧温度800℃,煅烧时间60 min时,合成的煅白中钙镁摩尔比0.95~1.07∶1,煅白的平均水活度达34%,符合硅热法炼镁用中间原料煅白的参数条件。该技术可为利用盐湖氯化镁制备金属镁新工艺开发提供数据参考。     

柴达木盆地大柴旦盐湖区盐生植物根-土复合体力学强度试验研究

以柴达木盆地大柴旦盐湖区作为试验区,分别筛选出5种优势盐生植物,即海韭菜(Triglochin maritimum Linn.)、芦苇(Phragmites australis Trin.)、赖草(Leymus secalinus Tzvel.)、毛穗赖草(Leymus paboanus Claus.)和无脉苔草(Carex enervis C.A.Mey.)作为试验供试种,分别对5种盐生植物根-土复合体试样和不含根系素土试样进行了室内直接剪切试验和三轴压缩试验,对比了不含根系素土试样与根-土复合体试样的抗剪强度指标;在此基础上,评价了5种盐生植物根系增强土体抗剪强度作用。试验结果表明:(1)当含水量和密度值分别为29.01%和1.65 g/cm3时,5种盐生植物根-土复合体试样的抗剪强度指标粘聚力c值为10.38~19.19 k Pa,且显著大于素土试样的粘聚力c值5.95 k Pa,内摩擦角φ值未表现出变化规律;(2)相对于不含根系的素土试样,由直剪试验和三轴试验得到的5种盐生植物根-土复合体试样的粘聚力增长幅度分别为16.8%~108.7%、19.2%~113.6%;(3)由直剪试验与三轴试验结果表明,区内5种盐生植物根-土复合体试样抗剪强度大小变化顺序表现出一致的规律性,即由大至小依次为,芦苇、海韭菜、赖草、毛穗赖草、无脉苔草和素土。该项研究结果为区内进一步开展盐生植物增强土体抗剪强度机理等方面的研究具有理论研究价值和实际指导意义。     

中国流动人口的城市宜居性感知及其对定居意愿的影响

流动人口是中国城镇化进程的重要参与者,加强其定居意愿特征分析对制定中国新型城镇化发展政策具有重要参考价值。基于中国40个主要城市的宜居城市问卷调查数据,运用描述统计和地理探测器方法,揭示中国流动人口的城市宜居性感知特征及其对定居意愿的影响。研究结果表明：①中国流动人口的城市宜居性感知评价分异明显,呈现出“公共服务设施便利性>自然环境舒适性>社会人文环境舒适性>环境健康性>交通便捷性>城市安全性”的递减特征;②中国流动人口的公共服务设施便利性、社会人文环境舒适性、环境健康性和城市安全性等4个维度城市宜居性感知对其定居意愿具有显著影响,且影响强度依次递减,但二者关系并不完全呈简单的线性特征。③相对他人收入满意度、生活满意度、住房价格感知和地理区位等参照变量,以及年龄、性别和职业等个体与家庭属性也是影响中国流动人口定居意愿的重要因素。     

中国城市规模划分新标准的适用性研究

2014年11月,国务院发布《关于调整城市规模划分标准的通知》,将城市规模等级划分为“五类七档”,受到广泛关注。但因对新标准的理解存在歧义而出现各种划分结果,引起误解与混乱。在对比新旧标准的基础上,以第六次人口普查数据为基础,分析2010年中国城市规模等级结构,评价新标准的科学性和局限性。结果显示,新标准在空间口径、人口口径、分级标准等方面进行了实质性的改进;按照新标准划分的2010年中国城市规模等级结构,相对于旧标准及其他标准而言,特大城市和大城市数量大幅缩减,而中小城市数量相应增多,呈现出显著的金字塔结构特征,更加符合中心地理论模型和位序—规模法则,更有利于科学地实施城市与人口的分类管理。但同时,新标准也存在“城区人口”数据难以获取、受行政区划调整影响较大等局限性,亟待加强实体城区识别研究和推进数据共享。     

大气气溶胶中的铁及其溶解度研究综述

生物活性铁(Fe) 进入生物地球化学循环中能够调节碳循环,影响海洋初级生产力,间接影响全球气候变化。决定 Fe生物可利用度的关键因子是可溶Fe含量,其中大气气溶胶的长距离传输是上层海洋获取生物可利用Fe的重要来源。近年来,对气溶胶中的Fe及溶解度的研究取得了重要进展,包括对不同区域Fe质量浓度和溶解度的观测以及对Fe溶解度影响因素的讨论。基于以上研究成果,汇总了近二十年全球部分陆地和海洋站点观测所得的不同粒径气溶胶颗粒物中的Fe质量浓度及其溶解度数据;重点介绍了气溶胶沉降入海洋前影响Fe溶解度的主要因素,包括Fe的来源、大气物理过程以及大气化学和传输混合过程等,并就各影响因素间的关联及相对重要性展开讨论;对未来气溶胶 Fe的研究方向和方法提出建议。     

山东省牛庄洼陷古近系沙河街组沙三中亚段储集层成岩作用研究

山东省牛庄洼陷古近系沙河街组沙三中亚段储集层岩石类型以长石岩屑砂岩和岩屑长石砂岩为主,岩石结构成熟度和成分成熟度均较低。砂岩成岩作用包括压实作用、胶结作用、交代作用、溶解作用等。压实作用主要有刚性颗粒发生脆性破裂、颗粒之间呈线接触和凹凸接触、岩石碎屑颗粒呈明显的定向排列、塑性颗粒挤压变形或刚性颗粒嵌入变形颗粒中、粘土质碎屑被挤压变形发生假杂基化等五种表现形式。胶结物主要有泥质胶结物、碳酸盐胶结物、自生粘土矿物和自生石英、长石。交代作用主要有石英交代长石颗粒、碳酸盐胶结物交代石英、长石及岩屑颗粒、碳酸盐胶结物之间的相互交代。发生溶解作用的主要是石英、长石和岩屑颗粒,胶结物中主要是碳酸盐矿物。目前研究区沙三中亚段储集层成岩演化处于晚成岩A期。影响成岩作用的主要因素为岩石成分、沉积环境、孔隙流体性质等。成岩作用对储集物性的影响主要表现在孔隙度和渗透率的变化,其中压实作用和胶结作用使储层原生孔隙迅速减少、渗透率降低,使得储集物性变差;而溶解作用是次生孔隙发育的主要因素,从而改善砂岩的储集性能。