A Review of Mineral Resources and GIS Applications in Mineral Resource Assessment in Northeast China

IntroductionThe Northeast China region locates in the centre of Northeast Asia economic zone, and borders onRepublic of Mongolia in the north, Russian Far Eastin the east, and Democratic People, s Republic ofKorea in the south. It includes three provinces…     

干旱半干旱区水资源承载力评价及空间规划指引——以宁夏西海固地区为例

以宁夏西海固地区为例,在区域尺度水资源超载状态分析基础上,构建了栅格尺度水资源承载力评价指标体系和计算方法,阐释了水资源承载力空间格局、特征及其与人口经济要素的空间关系,并提出空间规划与发展路径指引。干旱半干旱区栅格尺度的水资源承载力评估指标体系包括5项一级指标和12项二级指标,案例实证研究与校验表明：指标体系与评估模型具有可操作性,可为空间规划与管制提供更有效的决策支撑;西海固地区栅格尺度的水资源承载力划分为强、较强、中等、较弱以及弱5个等级,强和较强等级区主要位于清水河河谷平原,是黄河扬水灌区与地下水资源富集区的叠加区域,较弱和弱等级区集中分布于黄土丘陵区、六盘山及其余脉山地区。在水资源承载力空间差异分析的基础上,因地制宜地制定空间开发指引,建立“节流为主、开源为辅”的水资源保障体系,有助于构建与区域水资源条件相适应的人口产业布局模式。     

基于土地利用变化的中国省域碳排放时空差异及碳补偿研究

选择中国30个省级行政区为研究单元,基于土地利用和能源消耗等数据,采用碳排放系数法,对2003~2016年中国土地利用碳源/汇进行计算,探究中国省域土地利用碳排放和碳吸收时空演变,并以碳盈亏时空分析为基础,通过生态补偿系数和经济贡献系数分析碳排放的差异性,以净碳排放量作为基准值进行碳补偿价值的研究。结果表明:① 研究期间碳排放总量和净碳排放量除在2015年出现小幅度下降现象,其余年度均呈现不断增加趋势;碳吸收总量呈现稳中有升的趋势。②土地利用碳吸收的主要载体是耕地和林地,碳汇资源空间差异明显,基本呈现西高东低的分布特征,多数省份在研究期内基本保持一致的碳吸收类型。③ 碳排放总量分布空间差异显著,且主要来自建设用地。④ 依据净碳排放量的区域差异,将其划分为高碳排放区、一般碳排放区、低碳排放区、碳汇区4种类型。⑤ 由于各省域碳补偿标准和净碳排放量的差异导致碳补偿价值区域差异明显。     

Karyological analysis of the sea cicada Blepharipoda liberate Shen from the Rizhao intertidal zone,China

Journal of Oceanology and Limnology - Blepharipoda liberate Shen is a commercially valuable seafood species that has important ecological significance in Shandong Province, China. Although B....     

Evolution and driving forces of rural functions in urban agglomeration: A case study of the Chang-Zhu-Tan region

Journal of Geographical Sciences - As the Rural Revitalization Strategy is gradually implemented, China’s rural areas are set to have more diverse function requirements. This paper selects...     

Location choices of Chinese enterprises in Southeast Asia: The role of overseas Chinese networks

Journal of Geographical Sciences - With the implementation of the “Going out” strategy and the Belt and Road Initiative, China’s investments have become increasingly influential...     

Spatiotemporal heterogeneity and influencing mechanism of ecosystem services in the Pearl River Delta from the perspective of LUCC

Journal of Geographical Sciences - Land use/land cover change (LUCC) has considerable impact on ecosystem services. It is essential to quantify the spatiotemporal heterogeneity of ecosystem...     

Compositional Balance Analysis: An Elegant Method of Geochemical Pattern Recognition and Anomaly Mapping for Mineral Exploration

Natural Resources Research - Geochemical pattern recognition and anomaly mapping are always involved in the fields of environmental and exploration geochemistry. Principal component analysis (PCA)...     

Primary investigation of statistical correlation between changes in ice volume and area of glaciers

This study makes an attempt to investigate through statistical analysis the correlation between changes in ice volume and area of glaciers. Using data from nine sample glaciers in the Tian Shan, the results show that a linear relation exists between changes in ice volume and area, with a correlation coefficient of 0.700. However, the accuracy estimation is difficult due to the limited number of samples. The correlation was not improved after adding eleven glacier samples in other mountains. Two reference glaciers are then analyzed in more detail. The linear correlation coefficient is higher than 0.800 when using the observed changes in ice volume and area during different periods on Urumqi Glacier No. 1, which suggests that the linear relation is valid for one glacier for different periods if its shape does not change noticeably and also for other glaciers of the same shape during the same period. The relation between changes in ice volume and area of Qingbingtan Glacier No. 72 is different during different periods due to change in the shape of the glacier tongue and the influence of the debris cover. Moreover, errors in glacier-change monitoring and-volume estimation have an important influence on the correlation results. Therefore, further study needs to focus not only on the distinction between glacier types and between different periods but also on the accuracy of volume estimation.