福建省龙海市土地利用空间分布影响因子的尺度效应分析

土地利用在不同的规模尺度上具有不同的特征,某个研究尺度上的影响因子可能在其它尺度上并不发生作用。论文运用统计方法与GIS技术从自然环境、社会经济以及基础设施条件各方面分析福建省龙海市土地利用空间分布影响因素及其尺度效应。综合考虑9种主要的土地利用方式和23个候选影响因子,其中土地利用数据来自2000年11∶0000土地利用详查数据,地形数据来自15∶0000DEM,而社会经济统计数据如人口分布来自以乡镇为统计单元的统计年鉴,因此必须根据其空间分布与影响因子的关系进行空间化处理。采用的基本研究单元为100m×100m,在此基础上生成200m×200m,300m×300m～2000m×2000m多个空间尺度序列数据图层。通过分别构建不同聚合规模上的土地利用空间分布驱动模型,探讨了福建省龙海市土地利用空间分布影响因子的尺度规模效应。研究表明,不仅模型的解释能力会随聚合规模发生变化,影响因子本身及其影响系数也随研究尺度发生不同程度的变化,呈现出显著的尺度依赖性规律。龙海市主要地类受坡度、海拔高程等地形条件的严格限制,而地形因素是不容易随时间发生改变的,因此自然条件优越的地区适合多种用地类型,因而将是用地矛盾的焦点。     

The biogeochemistry of selenium in Sunan grassland,Gansu, Northwest China,casts doubt on the belief that Marco Polo reported selenosis for the first time in history

In order to clarify the historic academic problem of whether or not livestock poisoning in ancient Suzhou of Northwest China, recorded by Marco Polo in 1295, was selenosis, this study deals with the biogeochemistry of selenium in Sunan County in the Hexi Corridor, which is part of ancient Suzhou in China. It was found that quite a number of farm animals had suffered from intoxication and died as a result of grazing poisonous grasses, mostly Oxytropis DC, Stellera chamaejasme, and Achnatheru inebrians. Toxic symptoms of livestock grazing on Oxytropis DC are similar to those of selenium toxicity, for instance, hair loss and hoof lesions as described by Marco Polo. Therefore, we thought that toxic grass, probably Oxytropis DC, led to the intoxication of livestock recorded by Marco Polo. Average Se concentrations in two members of this species were 0.112 +/- 0.038 mg/kg for the root of Oxytropis glabra, 0.102 +/- 0.027 mg/kg for the stem and leaf of Oxytropis glabra, and 0.066 +/- 0.009 mg/kg for Oxytropis ochrocephala. The average soil selenium concentration was 0.205 +/- 0.127 mg/kg on grassland producing Oxytropis glabra and 0.152 +/- 0.024 mg/kg on grassland producing Oxytropis ochrocephala. The average Se concentration in other plants was 0.076 mg/kg in the root of Ephedra monosperma Mey, 0.029 mg/kg in the root of Rheum palmatum, 0.031 mg/kg in the root of Stellera chamaejasme, 0.037 mg/kg in Achnatherum inebrians, and 0.067 mg/kg in forage grass (Achnatherum splendens ohwi). Selenium concentrations in soils and plants in Sunan County are far less than the thresholds causing selenium toxicity in livestock. As a result, this study concludes that the livestock poisoning recorded by Marco Polo in 1295 might not have been selenosis.     

都昌县多宝砂山物种多样性研究及保护初探

对鄱阳湖都昌县多宝砂山地区土地风沙化过程中物种多样性的变化特征进行了分析,依据植物种在各类型风沙化土地的出现频率与不同风沙化阶段各生活型植物种的组成,探讨了风沙化过程中植物种的绝灭与定居特点.物种多样性指数分析表明:风沙化过程是物种多样性衰减的过程,风沙化首先导致特有种的绝灭,其次为稀有种.从植物的生活型来看,多年生草本与乔木类植物受风沙化影响最大,而灌木类植物可存活于风沙化过程的各个阶段,在风沙化过程中植物种的绝灭速率大于定居速率.最后,针对造成多宝砂山生物多样性衰减的原因,提出了治理对策,即在控制人类行为干扰的同时,要加强对固定沙丘的管理与保护.      

行政区域环境风险评估与管理--以泉州市惠安县为例

随着经济高速发展,环境问题逐步显现,突发环境事件时有发生,开展以环境风险评估为基石的主动风险管理势在必行。本文以泉州市惠安县为例,基于行政区域环境风险指数评估方法,构建评估指标体系,结合评估区域环境风险特征,计算全县环境风险指数,绘制风险等级分布图,并提出管理建议[1]。     

多时域航空影象与GIS应用——武昌县土地资源变迁分析

通过对武昌县多时域航空影象的判读和 GIS 的快速处理,结合其它辅助数据,对不同时期武昌县土地资源变化情况作了定性、定量和定位的分析研究.研究结果表明,多时域航空影象能较快地获取有关土地资源演变的静态和动态信息。GIS 是进行土地变迁复合研究及县域规划管理的一种有效技术手段。     

生态工程物元分析与方案优选

以上海青浦县某生态工程为例，运用物元分析法讨论生态工程基本方案的设计，建立了３个生态工程模式，用多目标决策技术对其进行计算的优选，结果表明，模式３的综合优度最高，应大力推广。     

江西信丰脐橙农业地球化学特征探讨

脐橙已成为信丰县的支柱产业。通过对信丰县脐橙种植区成土母岩特征、农业地球化学特征、脐橙品种特性等方面的综合分析，得出结论：地质背景以花岗岩母岩区最佳，次为红层母岩区；脐橙品质和产量以纽贺尔最佳，朋娜次之；为满足脐橙生长的需要，要注意加施K肥、P肥及含有ca元素的肥料，土壤中K、ca、P、Mg、Fe、cu、zn等营养元素其有效态必须获得补充。     

西部生态脆弱地区农业功能区划及模式探析——以宁夏盐池县为例

西部地区农业生产自然条件恶劣,生态系统脆弱,长期以来存在荒漠化、水土流失等威胁,而该区又属社会、经济发展相对缓慢的农业地区,如何在新农村建设中既实现农业产业化、专业化,又同时满足当地建设和保护生态环境的需求、发展地区循环经济,农业资源与环境的功能区划是重要前提。论文以该区典型农业县--宁夏盐池县农业生态经济系统为例,结合数学生态学模型与聚类分析模型,在地域区划基础上进一步解析其社会、经济功能分异,探讨该县农业功能空间分异格局,结果划分为5个农业功能区,并提出实现各区农业循环经济的发展模式及相应生态建设措施。     

贵州省赫章县土法炼锌过程中汞的释放量初步研究

对赫章县铅锌矿石、冶炼矿渣、煤、煤渣中汞含量进行了测定．结果表明,矿石中汞含量与锌含量存在显的正相关关系．基于上述测定结果并运用质量平衡法则,计算出不同类型矿石原料在冶炼过程中向大气的释汞因子：硫化矿为每生产It的Zn向大气释放155g的Hg;氧化矿为每生产It的Zn向大气释放79g的Hg．结合上述释放因子,对赫章土法炼锌过程中汞释放量进行了估算。     

High-risk behaviors while driving: A population-based study from Iran

Objective: Traffic injuries are becoming one of the most important challenges of public health systems. Because these injuries are mostly preventable, the aim of this study is to evaluate the four main high-risk behaviors while driving.

Methods: This cross-sectional study was conducted on a random sample from the population of Mashhad, Iran, in 2014. A checklist and a previously validated questionnaire for the transtheoretical stages of change model (TTM) were used for data collection. Statistical analyses were performed using SPSS 11.5 software with P <.05 statistically significant.

Results: Totally 431 individuals were included with a mean age of 30 ± 11.3 years. Forty-three percent (183) were male. The TTM model revealed that participants were mostly in pre-actional phases regarding not using a cell phone while driving (80%), fastening the driver's seat belt (66%), front seat belt (68%), and rear seat belt (85%) The penalty was a protective factor only for using cellphone (odd ratio [OR] = 0.82, 95% confidence interval [CI], 0.68–0.98). Lower education (OR = 0.12, 95% CI, 0.01–0.94) and male gender (OR = 0.35, 95% CI, 0.14–0.83) were indicative of lower rates of fastening the front and rear seat belts.

Conclusion: The stages of change model among study participants is a proper reflection of the effectiveness of the current policies. More serious actions regarding these high-risk behaviors should be considered in legislation.