Spatial variability and pattern analysis of soil properties in Dehui city, Jilin province

1IntroductionSoil nutrient, as the synthetic results under the influence of various anthropogenic activities and the factors such as climate and topography, etc., possesses certain spatial distribution characteristics, and certain structural and stochastic characteristics. The study of the differences existing in different parts of the region lays the foundation for adjusting all management measures and all material input capacities and for gaining the maximal economic benefit. Presently, the …     

基于MapX面向对象的专题地图管理信息系统的设计与实现

在分析MapX的特点和应用情况的基础上,介绍了长春市专题地图管理信息系统的结构和功能;论述了基于MapX开发专题地图管理信息系统的方法,给出了专题地图管理、双向查询、数据库联接等功能的实现方法,并对系统建设中遇到的一些技术难点问题和解决方法进行了详细分析。     

Landscape Dynamics and Driving Factors in Da＇an County of Jilin Province in Northeast China During 1956-2000

The landscape pattern of Da＇an County, Northeast China has undergone significant changes since the 1950s as a result of climatic change and human activities. The aim of this paper is to quantitatively study landscape pattern and its spatial dynamics of Da＇an County at the landscape level over the nearly 50-year span. Patch dynamics were examined according to land use and land cover change processes built from a series of images, as well as topographic maps, and temporal patterns built from landscape pattern metrics. The transition matrix of landscape patch types and changes of various landscape metrics were applied. The results showed that, from 1956 to 2000, the landscape within the study area had undertaken a complicated evolution in landscape structure and composition. The outstanding characteristic is that saline-alkali land increased and grassland decreased. As some smaller patches amalgamated, the heterogeneity of patch decreased. All those changes were the synthetic result of both climatic and anthropogenic influences, but the predominant factor was different in different parts. In the southern part of the study area, the landscape pattern changes resulted from the modification of climate obviously, while in the northern part, the landscape pattern changes were mainly caused by human activities, such as the conversion between farmland and saline-alkali land. This phenomenon showed that human activities played more important role in the north than in the south of Da＇an County.     

基于GEE和遥感大数据的1986—2015年全球城镇用地扩张占用水体时空特征

以全球年度城市动态数据（GAUD）和全球地表水动态数据集（GSW）为基础数据,利用Google Earth Engine（GEE）解析了1986—2015年全球城镇用地扩张占用永久性和季节性水体的时空分布特征。研究发现：30 a间全球城镇用地扩张直接占用水体的面积为1 033.2 km²,其中包括季节性水体711.7 km²和永久性水体321.5 km²,呈现先增加后降低的变化趋势。亚洲是城镇用地扩张占用水体面积最多的大洲,其次是北美洲和欧洲,占用水体的面积分别为799.4 km²、122.5 km²和61.1 km²。欧洲是唯一以占用永久性水体为主的大洲。陆地面积排名前十的国家中,中国、美国和印度是城镇用地扩张占用水体面积最多的国家,占用水体的面积分别为573.1 km²、109.6 km²和24 km²。以占用永久性水体为主的国家是俄罗斯和阿尔及利亚。尽管世界各国在水资源保护方面做出了巨大努力,但实现联合国可持续发展目标背景下,需防控更多的水体因城镇用地扩张而消失。     

Mapping Wetland Areas Using Landsat-Derived NDVI and LSWI: A Case Study of West Songnen Plain,Northeast China

Increasing interest in wetlands for environmental management requires an understanding of the location, spatial extent, and configuration of the resource. The National Wetlands Inventory is the most commonly used data source for this information. However, its accuracy is limited in some contexts, such as agricultural and forested wetlands. An large number of studies have mapped wetlands worldwide from the perspective of land use and land cover change. However, information on the actual wetland planting areas annually is limited, which greatly impacts ongoing research. In this case study of the West Songnen Plain, we developed a simple algorithm for the quick mapping of wetlands by utilizing their unique physical features, such as annual display of phenological land-cover change of exposed soils, shallow flooding water, and plants from multi-temporal Landsat images. Temporal variations of the Normalized Difference Vegetation Index (NDVI) and Land Surface Water Index (LSWI) derived from Landsat images in 2010 for wetlands at different growth stages were analyzed. Results show that during the ante-tillering phase, the NDVI value (above zero) is lower than the LSWI value of paddies because of flooding of shallow water; during the reproductive and ripening phases, the NDVI value is higher than the LSWI value (above zero); and during the post-harvest wetland planting phase, the NDVI value is still higher than the LSWI value, but the LSWI value is negative. Wetland areas can be detected using one or two images in the optimum time window. The algorithm based on the difference of NDVI and LSWI values derived from Landsat images was used to extract the actual wetland planting area. Validated alongside statistical data, the algorithm showed high accuracy. Therefore, this algorithm highlights the unique features of wetlands and can help in mapping the actual wetland area annually on a regional scale. Results further indicate that the new method has a classification accuracy of 92 %. In comparison, two traditional methods based on Landsat-7/ETM registered accuracy rates of only 83 % and 87 % respectively.     

Evapotranspiration Estimation Based on MODIS Products and Surface Energy Balance Algorithms for Land （SEBAL） Model in Sanjiang Plain, Northeast China

In this study,the Surface Energy Balance Algorithms for Land(SEBAL) model and Moderate Resolution Imaging Spectroradiometer(MODIS) products from Terra satellite were combined with meteorological data to estimate evapotranspiration(ET) over the Sanjiang Plain,Northeast China.Land cover/land use was classified by using a recursive partitioning and regression tree with MODIS Normalized Difference Vegetation Index(NDVI) time series data,which were reconstructed based on the Savitzky-Golay filtering approach.The MODIS product Quality Assessment Science Data Sets(QA-SDS) was analyzed and all scenes with valid data covering more than 75% of the Sanjiang Plain were selected for the SEBAL modeling.This provided 12 overpasses during 184-day growing season from May 1st to October 31st,2006.Daily ET estimated by the SEBAL model was misestimaed at the range of-11.29% to 27.57% compared with that measured by Eddy Covariance system(10.52% on average).The validation results show that seasonal ET from the SEBAL model is comparable to that from ground observation within 8.86% of deviation.Our results reveal that the time series daily ET of different land cover/use increases from vegetation on-going until June or July and then decreases as vegetation senesced.Seasonal ET is lower in dry farmland(average(Ave):491 mm) and paddy field(Ave:522 mm) and increases in wetlands to more than 586 mm.As expected,higher seasonal ET values are observed for the Xingkai Lake in the southeastern part of the Sanjiang Plain(Ave:823 mm),broadleaf forest(Ave:666 mm) and mixed wood(Ave:622 mm) in the southern/western Sanjiang Plain.The ET estimation with SEBAL using MODIS products can provide decision support for operational water management issues.     

北京天竺地热田东坝凹陷南部地区地下热水富集的地热地质条件分析

以北京地区地热流体中温度和矿物质含量较高的东坝凹陷南部地区作为实例,在完整的地热钻孔及相关地质资料基础上,通过对研究区断裂构造、热储层、热储盖层、地温场、流体水化学特性和富水性等地热地质条件进行分析,研究造成该区地热流体中温度、矿物质含量升高的主要原因。研究表明：受太阳宫断裂北段、良乡—前门断裂和楼梓庄断裂的切割作用,东坝凹陷南部地区热储层下落近千米,形成了一个较为封闭的“黑箱子”区域。这种独特的地质结构导致东坝凹陷南部地区接受东南城区地热田侧向补给较少,长期处于较为封闭的还原环境;太阳宫断裂北段存在深部的热源通道,地层深部的高温热流顺断裂上涌在东坝凹陷南部地区的热储层富集,因此该区地热流体表现出温度高、矿物质含量高、富水性差的特征,该研究对我国今后地热资源的开发具有积极的借鉴意义。     

城市区域地质条件适宜性评价方法初探

城市区域地质条件适宜性评价,是指为了满足城市布局选址、规划建设、安全运行、转型升级对地质资源及地质环境的需求,特别是对城市地质工作成果明确、定量化需求而开展的各项地质要素评价,主要包括保障城市发展的地质资源和制约城市建设发展的地质环境问题,对特定城市某些地质因素在选址布局、规划中起决定性作用。因此,城市区域地质条件适宜性评价工作,是一项不可或缺的基础性工作。本文拟通过大量城市地质工作实践,对国内外相关评价标准、评价方法进行深入分析研究,初步建立了一套地质要素进行定性、定量的评价方法,更好地服务于城市发展需求。     

退耕还林对牡丹江区域生态环境脆弱性的影响研究

从脆弱生态系统的特征入手,选取景观分离度、分维数倒数、破碎度3个反映景观稳定性及抗干扰能力的景观格局指数,并结合土壤侵蚀强度构成区域生态环境脆弱性的敏感因子,针对研究区地形,以景观生态适宜度作为生态系统自我恢复能力的表征,构建了牡丹江区域生态环境脆弱度评价模型。评价结果表明:（1）退耕还林前后景观类型脆弱度均表现为旱田>建设用地>水田>林地>未利用土地>水域>沼泽>草地;（2）研究区生态脆弱度表现为以脆弱度高值区为中心呈环状向四周递减的趋势,脆弱度高值区面积比重由退耕前的21.57%减小到退耕后的17.11%,脆弱度低值区面积比重由退耕前的63.14%增加到退耕后的67.66%;（3）生态脆弱度高值区域主要分布在200~400m的海拔高度,0~8°的坡度范围内,且退耕后面积比例呈下降趋势,而低值区域则分布在>300m海拔高度的各个坡度范围内,且退耕后面积比例呈上升态势。研究结果符合研究区实际状况。概言之,退耕还林缓和了研究区生态脆弱度状况,促进了生态环境质量向良好方向发展。