基于土壤地球化学特征的茶叶种植适宜性评价分析——以日照巨峰镇为例

为响应国家乡村振兴的号召,进一步提升提高日照市巨峰镇土地质量地球化学调查成果的科技转化潜力,本文综合运用层次分析法、SPSS软件系统聚类法、内梅罗综合指数法、变异系数法等方法,在查明研究区土壤地球化学背景值、评价研究区的土壤肥力、评价研究区的茶叶生化品质、研究研究区茶叶生化特征的影响因素的基础上,对研究区内土壤的茶叶宜种性进行综合评价。结合研究区的生产建设实际及已有茶园分布情况,将研究区大致划分为最适宜种植区、一般适宜种植区和不适宜种植区三大类。其中适宜种植区4720hm2,一般适宜种植区7793hm2,不适宜种植区3480hm2。本次工作为研究区茶叶种植区扩建提供了科学指导,进一步提升了土地质量地球化学调查成果的科技转化水平。     

小世界网络特征识别的城市交通状态网络自相关分析

大量研究表明,考虑了空间多维性的小世界网络模型对于研究交通网络特性对交通流的影响很有必要。但现有相关研究普遍未能有效找出小世界网络特征产生的临界阈值进而判断网络结构特征对城市交通运行的影响。以伦敦市主干道路网络为案例,通过网络环境下的Moran's I和Getis-Ord's G两个统计量,找出道路网络结构的小世界特征及其网络动力产生的临界阈值,并利用基于交通网络距离的半变异(方差)函数分析该临界阈值是否合理,然后运用网络自相关分析小世界网络结构特征及其网络动力对道路交通流的影响。结果表明:(1)伦敦市主干道路网络的全局Moran's I和全局Getis-Ord's G的收敛值是0.34,小世界网络现象或动力出现的临界阈值是17 000 m;(2)半方差图显示估算的小世界网络特征出现的阈值距离远小于理论半变异函数模型估算的空间相关性作用范围,且在该阈值附近半变异值呈明显上升趋势,表明该阈值是合理的;(3)在此阈值影响范围下,伦敦市主干道路段间交通流网络自相关性总体上呈显著正自相关特征,其局域空间关联格局呈中心区低-低和外围高-高的分布模式。     

内蒙古贫困地区生态安全评价及空间格局分析

在压力-状态-响应(Pressure-State-Response, PSR)模型确立指标体系的基础上,采用灰色关联度分析和熵值赋权相结合的方法,测算出2012年内蒙古贫困地区生态安全综合,压力,状态和响应指数,对研究区生态安全状况进行综合评价;并利用地理空间分析方法和空间分析软件GeoDA对生态安全综合状况进行空间相关性分析,同时结合研究区自然地理特征和社会经济状况,对其生态安全空间格局特征及成因进行诊断性分析.研究发现:(1) 内蒙古贫困地区生态安全水平整体处于一般状态,等级布局具有大聚集,小分散的特点;(2) 生态安全状况分布并非完全随机性,而是表现出空间相似值之间的空间聚集,具有正相关性;(3) 生态安全等级分布状况呈现出区域分异的特点,总体表现为内蒙古西部和东部贫困地区处于一般状态,而中部贫困地区生态安全水平整体处于良好状态,区域内部生态安全水平具有明显的县域差异;(4) 生态安全水平较好的县域和生态安全处于一般水平的县域,压力,状态,响应指标方面差距明显,且影响因素各异.     

日照茶树种植区典型茶园的土壤肥力状况评价

通过野外采样和室内测定,以日照茶树种植区3个典型茶园为研究对象,每个茶园分别取鸠坑、黄山群体、福鼎大白各3个品种,最终取得9种茶样生长地的土样,研究分析土样的pH,有机质,全N,P,K,有效N,P,K等指标的土壤养分含量状况,并以此为评价指标,运用模糊综合评判法,对3个茶园的土壤肥力质量进行了综合评价。结果表明,茶园肥力综合水平为北垛春>碧波山庄>北叶青;茶园土壤总体上,pH值较适中,有机质含量很缺乏,全N含量偏低,全P含量中等,全K含量较高,有效N含量很缺乏,有效P含量非常丰富,有效K含量中等,并据此提出了关于该地区3个典型茶园今后合理施肥的一些建议。     

横县岩溶区土壤硒地球化学特征及影响因素探讨

广西横县土壤硒(Se)元素含量分布特征显示,硒含量范围0.03~2.62mg/kg,背景值0.57mg/kg。研究区土壤硒含量空间上呈中东高西低,富硒土壤占74.1%,主要分布于泥盆系、石炭系及二叠系等浅海—滨海相沉积的碳酸盐岩成土母质区;足硒土壤占比24.5%,空间上与白垩系、古近系碎屑岩母质的分布相对应。硒与TFe2O3、Pb、Cr、Ni、Zn、有机碳及p H值等呈显著相关性(p0.01),表明土壤硒含量不仅受成土母岩的影响,还受铁锰氧化物、硫化物成矿元素、有机质及p H值的影响。     

基于机器学习的稀疏样本下的土壤有机质估算方法

采用GRNN（Generalized Regression Neural Network）和RF（Random Forest）2种机器学习方法构建土壤有机质预测模型,以提高稀疏样本情况下的土壤有机质估算精度。依据北京市大兴区农用地2007年的土壤有机质采样数据,按MMSD准则（Minimization of the Mean of the Shortest Distances）抽稀为8种不同采样密度的样本（分别为2703、1352、676、339、169、85、43、22个样本）,分别采用GRNN、RF和Ordinary kriging对各采样密度下的未知采样点进行预测,采用交叉检验的方式验证各采样密度下未知样点的预测精度。随着采样点密度的下降,样点间的空间自相关性逐渐减弱,半变异函数的拟和精度变差,预测点结果误差增大,预测的置信度降低。当抽稀到43个和22个采样点时,样点间的空间自相关性接近歼灭,半变异函数的决定系数较低且残差较大。普通克里格受到采样点数量和采样密度、样点的空间结构的影响比较明显,其预测精度随采样点数量的下降而下降。在85个采样点及以下时,其预测值与观测值之间没有显著的相关性。GRNN和RF的预测精度受采样密度的影响不大,其预测精度在一个较小的范围内波动,其预测值围绕观测值在一定阈值空间内震荡波动,具有较好的相关性,在85个及以下的采样密度时,预测精度相对普通克里格有较大的提升。普通克里格法不适合在稀疏样本条件下空间插值计算,尤其是在空间自相关性比较弱的情况下。机器学习模型能充分学习土壤间环境信息、样点空间邻近效应信息,兼顾属性相似性和空间自相关,具有更好的稳定性和适应性,不容易受到采样点数量、构型和采样密度等因素的影响,即使在采样点空间自相关性很弱的情况下也能做出稳定预测精度。     

南宁表层土壤养分的空间分布特征研究

文章以南宁市六城区、武鸣县和横县部分地区共1.1万km2的区域为研究区,采集2771件表层土壤组合样品,分析了N、P、K2O的含量,并运用Gis和地统计学方法,分析了养分含量的平均水平、概率分布特征、空间异质性和空间分布特征.土壤养分的空间分布特征研究为因地制宜开展施肥工作和有效利用土壤提供了依据.     

典型喀斯特白云岩小流域土壤-表层岩溶带厚度空间异质性特征

土壤-表层岩溶带厚度是喀斯特地球关键带的关键指标,明确其空间异质性特征对于理解地球关键带结构演化机理以及评估水源涵养功能具有重要意义。在广西环江木连小流域1.4 km²范围内,通过高密度电法(ERT)探测45条样线,共获取1 731个样点的土壤-表层岩溶带厚度及环境因子数据资料,研究了土壤和表层岩溶带厚度的空间分布格局及其影响因素。结果表明,土壤和表层岩溶带厚度平均值分别为1.15 m和6.44 m,且分别呈现强变异程度和中等变异程度。地统计分析结果表明球状模型和指数模型分别可以反映土壤和表层岩溶带的空间结构特征。土壤厚度呈现中等空间自相关性,变程长,空间连续性好;而表层岩溶带呈现强烈的空间自相关性,变程短,空间依赖性强。土壤厚度受到环境因子(地形湿度指数、垂直曲率、曲率、坡向、坡度、高程、覆盖度、出露基岩率和植被归一化指数)的多重影响,而表层岩溶带厚度受部分环境因子影响的同时,与土壤厚度和植被类型的相关性更高。研究结果有助于喀斯特区土壤-表层岩溶带演化机理认识,并为土壤-表层岩溶带厚度的空间预测提供科学依据。     

干旱区剖面土壤盐分空间变异特征及随机模拟

利用便携式土壤盐分计测定干旱区膜下滴灌棉田及裸地剖面土壤电导率,利用GS+软件确定其半方差函数,并进行序
贯高斯模拟来研究土壤剖面盐分的空间变异特征。结果显示:干旱区剖面上土壤盐分空间变异性强,膜下滴灌棉田符合球形模
型,裸地区符合高斯模型,且棉田变程远小于裸地;棉田埋深50cm以浅土壤盐分变化剧烈,埋深50cm 以深变化平缓,在垂向上
呈现3个高值区(30,50和75cm深度附近)及3个低值区(埋深40,60和100cm附近);克里格法具有明显的平滑作用,降低了土
壤盐分的空间变异性,而序贯高斯模拟数据更离散,更能反映土壤盐分的空间变异性,但多次模拟均值随次数增加趋于稳定。      

土壤中溶质运移的数学模型及其解析解

首先给出了非均匀土壤中考虑水动力弥散尺度效应的一维溶质运移两区模型.然后在初始浓度为零,半无限一维空间内第一类边界条件下,推导出了可动区和不动区溶质浓度分布Cm(x,t),Cim(x,t)的解析表达式.     

江苏省县域乡村集聚与脆弱性评价

基于脆弱性视角探究乡村地域系统可持续发展情况与集聚特征的空间关联效应,对推进美丽乡村建设具有重要意义。以SPOT2/4全色和Landsat TM卫星遥感融合影像为主要数据源,解译校正得到2016年江苏省乡村聚落斑块。在利用平均最近邻距离指数、核密度估计和标准差椭圆方法明确江苏省乡村集聚分布特征的同时,从资源、经济和社会脆弱性视角构建乡村脆弱性综合评价模型,进一步探讨县域乡村空间集聚特征与脆弱性发展程度的关联规律。结果表明：① 江苏省乡村地域自内核向外缘分布密度逐渐递减,苏北地区中部、苏南和苏中地区毗邻处乡村聚落密集分布,整体空间异质性和集聚形态的方向性特征明显;② 江苏省县域乡村脆弱程度存在地域分区不均衡现象,子系统相关性较弱,空间耦合特征尚不明显;③ 资源脆弱性子系统与经济、社会脆弱性之间均存在显著负相关关系,是当前江苏省县域乡村发展的薄弱环节;④ 江苏省县域乡村资源、经济和社会单一脆弱子系统集聚分布特征明显,综合脆弱性与集聚特征并未实现空间良性共振。     

Spatial distribution and changes of heavy metals of agricultural lands in typical pregrading coast in Dongtai City,Jiangsu Province,China

According to the historical changes of coastal lines, seven soil sampling districts, from land to sea, were arranged in Dongtai City, Jiangsu Province to sample soils from surface and profile. Concentrations of seven major heavy metals （HMs）, granularity, pH, organic matters and C/N of the soil samples were analyzed. Results show that concentrations of heavy metals in agricultural land present a certain spatial variance, decreasing from land to sea. Pollution assessment indicates that the agricultural soils were not polluted by HMs, but the potential pollution of Cu and Hg needs to be alerted. Different HMs accumulate in the surface and sub-surface of the soil profiles, and concentrations of Hg and Pb decrease significantly with the increment of soil depth. Concentrations of HMs exhibit a significantly negative correlation to pH, but have no significant relation with organic matters in soil. Principle component analysis show that the concentrations of HMs relate to the land use history. Concentrations of Hg, Ni and Cr in soil are closely related with land use history, and concentrations of Pb, Cu and Cr are affected by land use history as well as other factors. However, there is no significant relation between concentration of As and land use history.     

江苏省商业网点的空间分布特征及其区域差异因素

以江苏省商业网点POI（兴趣点）数据为基础,结合经济社会统计数据,分别对批发零售业、住宿业和餐饮业三种业态类型,运用标准差椭圆、核密度、最近邻指数以及多元线性回归等分析方法,探讨不同发展水平、发展阶段城市商业网点的空间分布模式和业态结构特征,并揭示其区域差异的影响因素。研究发现：江苏省商业网点总体上具有西北走向分布态势,呈现相对集中分布格局,表现出在长江以南地区集聚和在地级城市中心城区密集布局的特征;不同业态类型网点空间分布具有差异,批发零售业网点的空间集聚特征最显著,住宿业网点的分布相对均衡;各市商业业态结构呈现出批发零售业和餐饮业网点数量为主,以及批发零售业销售额独大的特征;地区生产总值、人口规模、居民人均可支配收入、城市综合可达性以及第三次产业产值比重是影响商业网点分布的重要因素,不同因素对商业网点分布的影响程度差异性较大,居民消费能力和地区发展水平是江苏省商业网点分布差异的主要驱动力。     

森林脑炎时空分布特征和环境影响因素分析

森林脑炎作为一种蜱传自然疫源性疾病,其空间分布与环境关系密切,探索其时空分布模式与环境因子对其影响机制对于掌握和预测森林脑炎的发病风险区域具有重要意义。本文以我国东北疫源区（黑龙江省、吉林省和内蒙古自治区）为研究区,通过统计分析和空间自相关分析探究了2005—2015年森林脑炎时空分布特征,进而运用地理探测器模型探讨森林脑炎空间分布影响因素及其指示作用。结果表明：① 研究区内森林脑炎发病率在2005—2015年有明显的增长趋势和季节性发病特征,且其发病率具有较强的空间集聚模式,主要有2个大的热点集聚区;② 从整个研究区来看,植被类型、土地利用、年均气温、土壤类型、5—8月均气温、坡度、高程和年均降雨量是森林脑炎发病率空间流行的主要环境影响因素;③ 对于所筛选的环境指示因子而言,各指示因子对森林脑炎发病风险的影响程度存在差异,即各因子的各类型（范围）内,森林脑炎发病率不同;各指示因子两两之间的相互作用对森林脑炎的发病风险具有显著增强效应。研究结果可为研究区及全国森林脑炎疫情的有效控制提供科学依据和决策支持。     

稀疏格网样点的国家尺度土壤属性制图方法与应用

 国家尺度土壤属性数据是地球生物化学循环及水循环等领域研究的重要数据,目前,该尺度土壤属性数据的获取方法主要有两类:土壤属性-空间数据连接法和空间插值。为了确定哪一类方法更适合稀疏样点的国家尺度土壤属性制图,本文以中国吉林省的土壤有机质含量制图为例,采用8~32km格网样点和1∶100万土壤图,对这两类方法进行对比分析。独立样本验证结果表明,土壤属性-空间数据连接法的平均误差(ME)大于距离反比加权(IDW)插值,而平均绝对误差(MAE)和均方根误差(RMSE)都小于IDW插值。IDW插值获得的土壤属性图虽然能大致反映土壤属性空间分布的基本规律,但出现了类似"牛眼睛"的空间结构,且存在无样点区估计值不准确等问题;土壤属性-空间数据连接法尽管忽略了同种土壤类型内部的差异,保留了不同土壤类型边界处的属性值突变,但获得的土壤属性图更能反映土壤属性分布的基本规律,也具有比较详细的土壤属性空间结构。因此,在基于稀疏样点的国家尺度土壤属性制图中,土壤属性-空间数据连接法的制图效果要优于IDW空间插值法。     

水稻土有机碳密度的空间预测分析——以浙江省长兴县为例

准确预测未采样区域SOC密度,是研究SOC演变趋势和探索土壤固碳作用对缓解全球气候变化的基础。采用泛克里格法(Universal Kriging,UK)和土壤类型法(pedological professional knowledge-based method,PKB),分别对长兴县水稻土有机碳密度进行了预测,其中,UK直接以长兴水稻土剖面资料为源数据、PKB以长兴水稻土剖面数据和长兴1∶5万数字土壤图为源数据进行预测。根据平均绝对误差(MAE)及均方根误差(RMSE)大小,评价了两种方法在县域尺度土壤有机碳密度空间预测效果。结果表明:UK的MAE(31.2)、RMSE(52.5)均大于PKB的MAE(24.7)、RMSE(43.1),说明PKB法的预测效果较好,UK法相对较差。研究表明,对土壤类型、土壤母质,以及剖面点位置等信息的综合考虑能使PKB法更好地表达土壤属性的空间特征,也更适于县域尺度土壤有机碳密度的空间预测。     

Quantitative evaluation and spatial differentiation of eco-environmental livability in Zhejiang Province,China

The scientific analyses of the spatial patterns of regional eco-environment livability, along with the explorations of the correlations between ecoenvironments and population and economic activity distributions, are of major significance in the guidance of the coordinated development between social economies, natural resources, and environments. In this study, the topography, climate,hydrology, land cover, air quality, and the dangers presented by natural hazards in the study area were investigated in order to establish an evaluation model for the regional eco-environmental livability. Then,the observed spatial patterns and regional differences in the eco-environmental livability, as well as their relationships with the distributions of population and economic activities in Zhejiang Province, were investigated. The results showed that the ecoenvironmental livability in Zhejiang Province displayed a gradual decreasing trend from southwest to northeast, as well as from the mountains to the hills, valleys, and plains areas. During the compartmentalization of the eco-environmental livability, it was observed that the lowest livable area covered the largest population, accounting for approximately 29.64% of the total population in the study area. The higher livable areas covered the widest land areas, accounting for approximately 26.15% of the total area. Moreover, it was found that the eco-environmental livability in the mountain areas was higher than that in the plain areas in Zhejiang Province. Furthermore, the ecoenvironmental livability was found to have a significant exponential relationship with the population and GDP densities of Zhejiang Province,with the R~2 of the curve-fittings reaching 0.835 and 0.656, respectively. However, it was determined that the coefficient of the exponential function was negative, which indicated that a strong negative relationship existed between the eco-environmental livability and densities of the population and economic activities. It was assumed that the impacts of anthropogenic factors were the fundamental causes of this negative correlation. This study introduced two new factors(air quality and natural hazards) into the evaluation framework of eco-environmental livability.As a result, a more comprehensive model was established for the evaluation of eco-environmenta livability in certain segments of the study area Additionally, the correlation between ecoenvironment livability and human activities was discussed in-depth, which can potentially provide theoretical and practical guidance for the implementation of eco-livability in China, and possibly even those of other vast developing countries.     

Distribution of Aluminum and Fluoride in Tea Plant and Soil of Tea Garden in Central and Southwest China

The distribution of Al and F contents and the relationship between Al and F in tea plants and soils of 12 tea gardens in Central and Southwest China were investigated from October 31 to November 14, 2006. The results show that there were differences in pH, CEC, the contents of organic matter (OM), Al and F in the different soils of the tea gardens. The Al content ranged from 1196 to 7976mg/kg for old leaf, 370 to 2681mg/kg for young leaf and 285 to 525mg/kg for stem, whereas the content of F ranged from 221 to 1504mg/kg for old leaf, 49 to 602mg/kg for young leaf and 13.5 to 77.5mg/kg for stem. The concentrations of labile Al varied obviously in the different soils, but the distribution law of labile Al content for the same garden was Alexchangeable≈AlFe-Mn oxide>Alorganic>Alwater-soluble. The contents of different labile F fractions varied slightly in the different soils and the different soil layers, though the exchangeable F content was lowest among the labile F in the soils. The concentrations of Al and F in tea plants increased with increasing amount of water-soluble Al or F, especially the amount of water-soluble fractions in the soil layer of 0-20cm.The correlation between Al content and F content in the tea leaf was more significant than that in the tea stem. Furthermore, the correlation between Al content and F content in whole tea plant was strongly significant (r=0.8763, p<0.01, n=36). There were evident tendency that Al concentration increased with the increase of F concentration in different soil layers. The correlation of water-soluble Al with water-soluble F in all soils was also strongly significant (r=0.7029, p<0.01, n=34). The results may provide a proof that Al and F are jointly taken up by tea plants to some extent in natural tea gardens.     

Storage and density of soil organic carbon in urban topsoil of hilly cities: A case study of Chongqing Municipality of China

Rapid urbanization results in the conversion of natural soil to urban soil,and consequently,the storage and density of the soil carbon pools change.Taking Chongqing Municipality of China as a study case,this investigation attempts to better understand soil carbon pools in hilly cities.First,the vegetated areas in the study area were derived from QuickBird images.Then,topsoil data from 220 soil samples(0-20 cm) in the vegetated areas were collected and their soil organic carbon(SOC) densities were analyzed.Using the Kriging interpolation method,the spatial pattern of SOC was estimated.The results show that the SOC density exhibited high spatial variability in the urban topsoil of Chongqing.First,the SOC density in topsoil decreased according to slope in the order 2°-6° < 25°-90° < 0°-2° < 6°-15° < 15°-25°.Second,the newly developed areas during 2001-2010 had a lower SOC density than the areas built before 1988.Third,urban parks and gardens had a higher SOC density in topsoil,residential green land followed,and scattered street green land ranked last.For hilly cities,the variability of terrain affects the distribution of SOC.The Kriging results indicate that Kriging method combining slope with SOC density produced a high level of accuracy.The Kriging results show that the SOC density to the north of the Jialing River was higher than the south.The vegetated areas were estimated to amount to 73.5 km2 across the study area with an SOC storage of 0.192 Tg and an average density of 2.61 kg/m2.     

GIS组件的农产品安全管理信息系统的设计与应用

利用Visual Basic6．0(VB 6．0)和美国ESRI的组件-MapObjects 2．0(MO)集成开发了浙江省主要农产品安全管理信息系统(ZJCSMIS),通过全省1:25万空间数据库和重点县市1:5万遥感影像空间数据库,结合农产品采样点属性数据库和农产品安全标准数据库,实现对全省和重点县市不同尺度的样点分布图的分类显示、缩放、漫游、属性标识、农产品安全行业标准咨询、空间定位查询及统计分析等功能,对土壤和作物样品的属性及测试结果进行专题显示,并可实现农产品安全信息数据的更新,为浙江省主要农产品安全信息的管理提供一个合理高效的平台。