Modeling patch characteristics of farmland loss for site assessment in urban fringe of Beijing, China     

LIU Xiaona  ZHANG Weiwei  LI Hong  SUN Danfeng 《中国地理科学(英文版)》2013,23(3):365-377

Farmland protection and delimitation in the urban fringe considers not only natural factors but also the spatial characters and site factors. Taking Daxing District, Beijing in China as a case study, this paper used landscape ecology and power-law methods to analyze and evaluate farmland loss during the period of 2004-2007 based on the interpretation results of SPOT5 remote sensing images in 2004 and 2007. At the patch level, we selected four landscape indices, namely patch size, shape index, the nearest neighbor distance between farmland and construction land (including residential land and other construction land), and cropping type, to evaluate the risk of farmland loss and establish a farmland site analysis indicator system. The results showed that patch size and shape index have a significant positive correlation with farmland loss, whereas the distance to construction land has a clear negative correlation with farmland loss. As regards cropping type, fallow farmland is much easier for non-agricultural use than cultivated farmland. The relative transition ratio among vegetable land, fallow farmland and cultivated farmland is 1︰5.6︰1. The patch size of lost farmland follows a power-law distribution, indicating that not only small parcels but also large parcels can be lost. Patch size less than 4 ha or more than 15 ha is in high loss risk, between 4 ha and 10 ha in medium loss risk, and larger than 10 ha and less than 15 ha in low risk. Farmland with a more regular shape has a higher likelihood of loss. Patch shape index less than 2.0 is in high loss risk, between 2.0 and 3.0 in medium loss risk, and larger than 3.0 in low risk. Construction land has a varying impact on farmland loss, the residential land effected distance is 1000 m, and that of the other construction land is 2000 m. This analysis showed the relationships between site factors and farmland loss, and the analysis framework can provide support and reference for farmland protection and delimitation of prime farmland in China.  相似文献   

A time-dependent stochastic grassland fire ignition probability model for Hulun Buir Grassland of China     

GUO Zhixing  FANG Weihua  TAN Jun  SHI Xianwu 《中国地理科学(英文版)》2013,23(4):445-459

Grassland fire is one of the most important disturbance factors in the natural ecosystems.This paper focuses on the spatial distribution of long-term grassland fire patterns in the Hulun Buir Grassland located in the northeast of Inner Mongolia Autonomous Region in China.The density or ratio of ignition can reflect the relationship between grassland fire and different ignition factors.Based on the relationship between the density or ratio of ignition in different range of each ignition factor and grassland fire events,an ignition probability model was developed by using binary logistic regression function and its overall accuracy averaged up to 81.7%.Meanwhile it was found that daily relative humidity,daily temperature,elevation,vegetation type,distance to county-level road,distance to town are more important determinants of spatial distribution of fire ignitions.Using Monte Carlo method,we developed a time-dependent stochastic ignition probability model based on the distribution of inter-annual daily relative humidity and daily temperature.Through this model,it is possible to estimate the spatial patterns of ignition probability for grassland fire,which will be helpful to the quantitative evaluation of grassland fire risk and its management in the future.  相似文献   

Spatial evolution and locational determinants of high-tech industries in Beijing   总被引：1，自引：0，他引：1  

ZHANG Xiaoping  HUANG Pingting  SUN Lei  WANG Zhaohong 《中国地理科学(英文版)》2013,23(2):249-260

Using datasets on high-tech industries in Beijing as empirical studies, this paper attempts to interpret spatial shift of high-tech manufacturing firms and to examine the main determinants that have had the greatest effect on this spatial evolution. We aimed at merging these two aspects by using firm level databases in 1996 and 2010. To explain spatial change of the high-tech firms in Beijing, the Kernel density estimation method was used for hotspot analysis and detection by comparing their locations in 1996 and 2010, through which spatial features and their temporal changes could be approximately plotted. Furthermore, to provide quantitative results, Ripley′s K-function was used as an instrument to reveal spatial shift and the dispersion distance of high-tech manufacturing firms in Beijing. By employing a negative binominal regression model, we evaluated the main determinants that have significantly affected the spatial evolution of high-tech manufacturing firms and compared differential influence of these locational factors on overall high-tech firms and each sub-sectors. The empirical analysis shows that high-tech industries in Beijing, in general, have evident agglomeration characteristics, and that the hotspot has shifted from the central city to suburban areas. In combination with the Ripley index, this study concludes that high-tech firms are now more scattered in metropolitan areas of Beijing as compared with 1996. The results of regression model indicate that the firms′ locational decisions are significantly influenced by the spatial planning and regulation policies of the municipal government. In addition, market processes involving transportation accessibility and agglomeration economy have been found to be important in explaining the dynamics of locational variation of high-tech manufacturing firms in Beijing. Research into how markets and the government interact to determine the location of high-tech manufacturing production will be helpful for policymakers to enact effective policies toward a more efficient urban spatial structure.  相似文献   

基于分式析因及最佳子集回归的多种污染物复合污染特征——阿特拉津与多种污染物在松花江沉积物上的吸附效应     

李鱼  王檬  张琛  高茜 《吉林大学学报(地球科学版)》2013,43(5):1595-1602

为揭示农药（晶体乐果、甲霜灵、阿特拉津、马拉硫磷、扑草净）与重金属（铜、锌、铅、镉、镍）10种污染物共存时的复合污染规律,以阿特拉津为目标污染物,采用分辨度为Ⅲ的2^10-6分式析因实验设计,并用完全折叠实验和区组设计进行辅助,通过多元线性回归的建模方法筛选并建立了以阿特拉津为因变量、10种污染物因子主效应和二阶交互效应为自变量的多元线性回归吸附模型。研究表明：共存体系中因子主效应项铅、铜、锌、镉、镍和农药晶体乐果显著抑制（显著性水平α=0.05）阿特拉津在沉积物上的吸附,与阿特拉津产生竞争吸附效应,因重金属主效应产生的拮抗作用占总拮抗作用的63.5%,其拮抗作用从大到小为镍、镉、晶体乐果、锌、铅、铜;在以镍为关键自变量的二阶交互效应项中,因二阶交互效应项产生的协同或拮抗作用占阿特拉津吸附能力的35.3%,其中,铅、镉和晶体乐果抑制镍与阿特拉津的竞争吸附,与阿特拉津在沉积物上的吸附发生协同作用,协同作用从大到小为镉×镍、铅×镍、镍×晶体乐果;而镍作为调节自变量的二阶交互效应项镍阿特拉津会促进阿特拉津的吸附,说明多种污染物共存体系中重金属镍对阿特拉津在沉积物上吸附影响作用的复杂性和重要性。  相似文献   

云南省怒江傈僳族自治州居住地景观审美感知研究     

樊杰  胡望舒  陈东  孙威 《资源与生态学报(英文版)》2013,4(2):157-164

本地居民对居住地景观的审美感知水平对于区域大尺度景观的保护与持续利用具有重要影响,这在相对欠发达但具有较高审美价值景观资源的地区意义更为重大。本文以云南省怒江傈僳族自治州为例,基于620份针对当地居民的调查问卷与现场调研,通过构建Logistic回归模型,分析了怒江州本地居民对居住地景观的审美感知状况及相关影响因素。结果表明,怒江州本地居民对于居住地景观的审美感知水平较高,有75．81％的受访者认为居住地周边景观是美的。对这一审美感知具有影响的因素共有8项,在直接影响因素中,是否在保护区内、行政村周边高程标准差具有正向影响;行政村到最近县城距离、是否认为近年生态环境恶化、是否认为旅游开发存在不好的影响、是否希望进入城市生活具有负向影响。在间接影响因素中,包括住房类型和家中是否有电视都具有正向影响。本文据此尝试提出提高怒江州居民对居住地景观审美感知水平、促进当地景观保护与持续利用的相关政策建议。  相似文献   

1951-2010年中国季平均降水高精度曲面建模分析     

赵娜  岳天祥  王晨亮 《地理科学进展》2013,32(1):49-58

利用1951-2010年中国711个气象观测站的月降水资料,对多年季平均降水根据中国农业气候类型进行分区模拟。针对中国降水特点,首先分析了影响各分区降水的地理、地形因素及局部地形因素,利用多项式回归和逐步回归的方法对各分区降水进行了趋势拟合;在此基础上,采用改进的高精度曲面建模(HASM)方法,对各模拟区域去掉趋势后的残差进行迭代修正,并比较验证了模拟效果。同时,为保证HASM在边界附近的模拟精度,根据区域内站点间的距离,对每一分区设置一个缓冲区,将HASM实际插值区域扩展为缓冲区内的部分。模拟结果表明:HASM方法的模拟精度在不同区域不同季节内均比经典的插值方法模拟精度高。利用上述方法分析了同一季节各分区降水的分布特点,并模拟了不同季节内多年平均降水的空间分布状况,模拟结果符合我国降水的实际分布特点。  相似文献   

汶上东平沉积变质型铁矿床磁性铁品位回归模型          下载免费PDF全文

汪云  刘蕾  杨昌彬  蒋会生 《山东国土资源》2013,29(1):25-27

汶上-东平地区沉积变质型铁矿床磁性铁品位与可溶铁品位呈线性关系,相关系数0.965,经筛选,选取了2 030组样品建立了汶上-东平带沉积变质型磁铁矿品位与可溶铁的一元回归方程,经过与样品测试的分析结果对比,证明一元回归方程具有代表性、客观性。  相似文献   

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汪奇生杨德宏  杨建文 《大地测量与地球动力学》2013,33(6):112-114

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海带中岩藻聚糖硫酸酯提取工艺评价模型的建立与探讨     

曲桂燕  刘旭  汪东风  袁毅  韩丽君 《海洋科学》2012,36(11):44-49

采用均匀设计从海带中热水提取岩藻聚糖硫酸酯,以粗多糖提取率(Yw)、岩藻糖提取率(Yf)和硫酸根提取率(Ys)为评价指标,并采用综合加权评分法综合考虑各试验因素对以上三个指标的影响.利用Minitab软件分析加权值Y与各因素的相关性,再通过回归方程优化岩藻聚糖硫酸酯的工艺参数.建立了加权值Y与提取温度(X1)、提取时间(X2)和液料比(X3)之间的二次回归模型,即Y=65.2+0.555x1+1.73x2+0.587x3+0.0236x12+0.0939x32-0.110x1x2.优化后获得最佳提取工艺参数.  相似文献   

A study of the mixed layer of the South China Sea based on the multiple linear regression   总被引：1，自引：0，他引：1  

DUAN Rui  YANG Kunde  MA Yuanliang  HU Tao 《海洋学报(英文版)》2012,31(6):19-31

Multiple linear regression(MLR) method was applied to quantify the effects of the net heat flux(NHF),the net freshwater flux(NFF) and the wind stress on the mixed layer depth(MLD) of the South China Sea(SCS) based on the simple ocean data assimilation(SODA) dataset.The spatio-temporal distributions of the MLD,the buoyancy flux(combining the NHF and the NFF) and the wind stress of the SCS were presented.Then using an oceanic vertical mixing model,the MLD after a certain time under the same initial conditions but various pairs of boundary conditions(the three factors) was simulated.Applying the MLR method to the results,regression equations which modeling the relationship between the simulated MLD and the three factors were calculated.The equations indicate that when the NHF was negative,it was the primary driver of the mixed layer deepening;and when the NHF was positive,the wind stress played a more important role than that of the NHF while the NFF had the least effect.When the NHF was positive,the relative quantitative effects of the wind stress,the NHF,and the NFF were about 10,6 and 2.The above conclusions were applied to explaining the spatio-temporal distributions of the MLD in the SCS and thus proved to be valid.  相似文献