Examining the sensitivity of spatial scale in cellular automata Markov chain simulation of land use change

Understanding the spatial scale sensitivity of cellular automata is crucial for improving the accuracy of land use change simulation. We propose a framework based on a response surface method to comprehensively explore spatial scale sensitivity of the cellular automata Markov chain (CA-Markov) model, and present a hybrid evaluation model for expressing simulation accuracy that merges the strengths of the Kappa coefficient and of Contagion index. Three Landsat-Thematic Mapper remote sensing images of Wuhan in 1987, 1996, and 2005 were used to extract land use information. The results demonstrate that the spatial scale sensitivity of the CA-Markov model resulting from individual components and their combinations are both worthy of attention. The utility of our proposed hybrid evaluation model and response surface method to investigate the sensitivity has proven to be more accurate than the single Kappa coefficient method and more efficient than traditional methods. The findings also show that the CA-Markov model is more sensitive to neighborhood size than to cell size or neighborhood type considering individual component effects. Particularly, the bilateral and trilateral interactions between neighborhood and cell size result in a more remarkable scale effect than that of a single cell size.     

Modeling spatially non-stationary land use/cover change in the lower Connecticut River Basin by combining geographically weighted logistic regression and the CA-Markov model

Simulating land use/cover change (LUCC) and determining its transition rules have been a focus of research for several decades. Previous studies used ordinary logistic regression (OLR) to determine transition rules in cellular automata (CA) modeling of LUCC, which often neglected the spatially non-stationary relationships between driving factors and land use/cover categories. We use an integrated geographically weighted logistic regression (GWLR) CA-Markov method to simulate LUCC from 2001–2011 over 29 towns in the Connecticut River Basin. Results are compared with those obtained from the OLR-CA-Markov method, and the sensitivity of LUCC simulated by the GWLR-CA-Markov method to the spatial non-stationarity-based suitability map is investigated. Analysis of residuals indicates better goodness of fit in model calibration for geographically weighted regression (GWR) than OLR. Coefficients of driving factors indicate that GWLR outperforms OLR in depicting the local suitability of land use/cover categories. Kappa statistics of the simulated maps indicate high agreement with observed land use/cover for both OLR-CA-Markov and GWLR-CA-Markov methods. Similarity in simulation accuracy between the methods suggests that the sensitivity of simulated LUCC to suitability inputs is low with respect to spatial non-stationarity. Therefore, this study provides critical insight on the role of spatial non-stationarity throughout the process of LUCC simulation.     

我国海洋功能区划的回顾性评价和新一轮编制建议

为完善我国海洋功能区划制度,提高海洋功能区划的编制和实施水平,促进其在我国海洋空间规划乃至国土空间规划中发挥应有作用,文章对我国现行海洋功能区划的实施情况进行回顾性评价,并对新一轮海洋功能区划的编制提出建议。研究结果表明:我国海洋功能区划法律地位高、管控范围广,现行海洋功能区划实施以来,通过建立定量目标管控体系、协调保障行业用海和保护海洋生态环境,对我国海洋经济和海洋生态环境的可持续发展做出巨大贡献;针对实施过程中存在的问题,新一轮海洋功能区划的编制应扩大海洋保护区的规模和种类、提高前瞻性和动态适应性、加强公众实质性参与以及完善技术体系。     

科尔沁沙地粗—细组分的碎屑锆石U- Pb年龄特征：对定量物源及区域构造- 岩浆演化事件的指示

追踪干旱—半干旱地区大型沙地的物源和风- 河流相互作用机制对于理解陆地景观格局演变、地表过程与地貌动态以及大气圈和岩石圈之间的联系至关重要。然而,目前科尔沁沙地的物源仍存在较大争议,且缺乏具有统计意义的锆石U- Pb年龄数据库。因此,本研究对科尔沁沙地地表风成沙进行多点取样,根据不同粒级(＜63 μm和＞63 μm)选取1500颗碎屑锆石进行U- Pb测年分析,并利用逆向蒙特卡罗模型对其物源进行定量约束。结果表明,从目视定性的角度看,科尔沁沙地的碎屑锆石U- Pb年龄谱特征非常相似。但定量重建结果显示沙地的物源整体上以中亚造山带的贡献为主(50. 5%~61. 3%),然而东南部体现出华北克拉通的绝对优势(~75. 8%)。科尔沁沙地的物源存在空间异质性,沙地西部和北部的锆石年龄谱极为相似,与南部锆石年龄特征显著不同。科尔沁沙地的碎屑锆石U- Pb年龄特征基本不受粒度分异的影响,但沙地东南部除外。本文认为,风与河流的协同作用及其由此导致的沉积分异和再循环作用解释了科尔沁沙地碎屑锆石的U- Pb年龄特征。结合区域构造演化历史,科尔沁沙地在~2. 5 Ga和~1. 85 Ga的U- Pb年龄峰值分别是前寒武纪华北克拉通的生长、拼合与碰撞过程中的两期构造事件的产物。此外,~1. 7 Ga的锆石年龄可能是对Columbia超大陆聚合与裂解的综合响应。古生代以来的锆石年龄峰值(500~400 Ma、300~250 Ma、130~110 Ma)记录了在古亚洲洋的俯冲闭合、蒙古- 鄂霍次克海俯冲碰撞和古太平洋的俯冲、回退的区域构造背景下多期区域构造- 岩浆事件。     

Sandy gravel accumulation in a fluvial environment

Particle size, pebble shape, pebble fabric, discharge and flow velocity data are used to introduce a model of sandy gravel formation in Welsh gravel-bed rivers. The development of contact-imbrication of the typically very bladed and very platy cobbles and larger pebbles subsequently acts to significantly affect the depositional modes and patterns of small pebbles and sand particles. An important distinction is drawn between sand deposition, which can occur at or below the bed surface, and pebble and cobble deposition, which is merely a surface phenomenon.     

德州市临盘采油区地面沉降监测

济南市的鹊山上设立了3块岩层水准标石的原点组。使用美国Tri mble Di Ni 12电子水准仪和条码式铟钢水准标尺施测一等精密水准82.2 km,二等精密水准30.8 km,联测各类水准点35个。对观测结果进行统计与分析表明,在临盘采油区(以后仓西北采油四队LY18为中心)形成了一个较明显的沉降区域,年沉降量为54.3 mm。建议在其周边增埋地面观测标石,进行加密观测,以掌握其变化规律。     

Advances in understanding of the mechanism for generation of earthquake thermal precursors detected by satellites

Stresses building up during an earthquake preparation phase also manifest themselves in the form of a so called increased land surface temperature (LST) leading to a thermal precursor prior to the earthquake event. This phenomenon has now been validated by our observations of short-term thermal anomalies detected by infrared satellite sensors for several recent past earthquakes around the world. The rise in infrared radiance temperature was seen to vary between 5 and 12 °C for different earthquakes. We discuss in this paper different explanations for the generation of such anomalies that have been offered. Emission of gases due to the opening and closure of micropores upon induced stresses and also the participation of ground water have been propounded as a possible cause for generation of thermal anomalies. Seismo-ionosphere coupling, by which gases like radon move to the earth–atmosphere interface and cause air ionization thus bringing about a change in air temperature, relative humidity, etc., has been put forth by some workers. A mechanism of low frequency electromagnetic emission was tested and experimented by scientists with rock masses in stressed conditions as those that exist at tectonic locations. The workers proposed the positive hole pair theory, which received support from several scientific groups. Positive holes (sites of electron deficiency) are activated in stressed rocks from pre-existing yet dormant positive hole pairs (PHPs) and their recombination at rock–air interface leads to a LST rise. A combination of remote sensing detection of rock mechanics behavior with a perception of chemistry and geophysics has been applied to propose the remote sensing rock mechanics theory. Remote sensing detections of such anomalies confirm so far proposed lab theories for such a hotly debated field as earthquake precursor study by providing unbiased observations with consistency in time and space distribution.     

贵州省国土资源信息化建设模式研究

本文在深入调研贵州省国土资源信息化建设现状基础上,回顾了发展历程,系统总结了贵州省在推进国土资源信息化建设方面的主要思路和做法,阐述了建设现状和取得的主要成效,以贵州省国土资源信息化建设模式为借鉴,提出了几个值得深入思考和探讨的问题。     

乡镇土地利用规划管理信息系统设计与实现

针对当前乡镇土地利用规划中存在的问题,运用GIS的数据管理和空间分析等功能,结合规划区域的实际状况,开发了一个面向乡镇的土地利用规划管理信息系统,提高了土地管理的工作效率和信息化水平,能够实现乡镇土地的合理利用。     

Classifier ensembles for land cover mapping using multitemporal SAR imagery

SAR data are almost independent from weather conditions, and thus are well suited for mapping of seasonally changing variables such as land cover. In regard to recent and upcoming missions, multitemporal and multi-frequency approaches become even more attractive. In the present study, classifier ensembles (i.e., boosted decision tree and random forests) are applied to multi-temporal C-band SAR data, from different study sites and years. A detailed accuracy assessment shows that classifier ensembles, in particularly random forests, outperform standard approaches like a single decision tree and a conventional maximum likelihood classifier by more than 10% independently from the site and year. They reach up to almost 84% of overall accuracy in rural areas with large plots. Visual interpretation confirms the statistical accuracy assessment and reveals that also typical random noise is considerably reduced. In addition the results demonstrate that random forests are less sensitive to the number of training samples and perform well even with only a small number. Random forests are computationally highly efficient and are hence considered very well suited for land cover classifications of future multifrequency and multitemporal stacks of SAR imagery.