农业面源污染负荷空间分布及风险评价研究进展

为了研究农业面源污染负荷空间分布及风险评估,综述了国内外近10年的最新研究进展,发现在农业面源污染空间分布及风险评估上的研究较多,其中污染的源因子及迁移因子空间分布研究进展颇多,而在综合风险评价上的研究还比较缺乏,对污染负荷的分布特征及其相关性的研究还存在不足,今后还需研究污染负荷分级区划与管理控制措施研究。     

Allergenic pollen of ornamental plane trees in a Mediterranean environment and urban planning as a prevention tool

Green spaces and urban green infrastructure are new concepts in urban planning, and lately, the influence of green spaces in cities and how this presence affects local climate change have been taken into account. Moreover, some of the ornamental trees most used in cities provoke allergic symptoms in sensitized people. Due to the importance the plane trees in our parks and cities have as ornamental trees, this article assesses the urban Platanus airborne pollen concentration in the air of five cities of the SW Iberian Peninsula and tries to determine the differential factors that its distribution has by means of combining continuous monitoring of the air using volumetric spore traps and the geolocation of plane trees. They were counted separately according to the direction (Q1 NE, Q2 SE, Q3 SW, Q4 NW) around the spore trap location in circles of 100, 200, 300, 400, 500, 1000, 1500, 2000 and 2500 m in diameter. Pollen sums were distributed according to the predominant wind direction for each day. The highest concentrations for Platanus pollen were recorded in Don Benito. Differences amongst pollen stations were found and were mainly related to their degree of maturity and their proximity to spore traps, and finally, with the number of plane trees. Furthermore, other factors, as the pruning, which is different in each city and even in a more local way, affects pollination and is frequently unknown to aerobiological studies. The geolocation of ornamental trees can be a useful tool for providing summarized information about their behavioral differences amongst cities, which can be used to create healthy itineraries, minimizing the natural hazards in human health (allergic diseases) and could be implemented into a model to help policy-makers to create measures to improve green urban development.     

智能轨迹控制割草机器人设计——基于FPGA神经网络

为了提高割草机器人自主导航和定位的精确性和智能性,设计了一种新型的基于FPGA神经网络算法的割草机器人。该设计采用FPGA可重构技术,以3层误差反向传播神经网络作为典型的模型来展开;利用成熟的BP算法公式,设计了割草机器人智能控制的模型;利用FPGA技术,设计了割草机器人的硬件系统;最后采用文本输入的设计方法,利用田间试验的方式,对机器人的轨迹规划能力和控制精度进行了验证。试验结果表明:利用FPGA和神经网络模型可以有效地穿越5个障碍物,并可得到满意的轨迹规划结果。将普通的PID控制器和神经网络PID控制器得到的控制结果误差进行了对比,结果表明:神经网络PID控制器得到的割草机器人控制误差明显比传统的PID控制器误差小。该方法为神经网络的硬件实现提供了可靠的理论基础。     

Spatial patterns of the Citrus leprosis virus and its associated mite vector in systems without intervention

Leprosis is caused by the Citrus leprosis virus cytoplasmic type and is vectored by the mite Brevipalpus yothersi. Miticide applications, which cost $54 million annually, are based on inspection for the presence of mites. The aim of the present study was to characterize the spatial patterns of B. yothersi-infested trees and trees with leprosis symptoms for further improvement in sampling and disease control. The presence of mites and the occurrence of leprosis were assessed over two years in 1160 Valencia trees and 720 Natal trees in a commercial sweet orange grove in Sao Paulo State, Brazil. To assess the natural growth and dispersal of mites and leprosis, mite populations were not controlled during the experimental period. Maps of mite-infested trees and trees with leprosis symptoms were analysed at three different levels of spatial hierarchy using complementary methods, i.e. among adjacent trees within and across rows, within quadrats, and the strength and orientation of aggregation among quadrats. The study showed that the spatial patterns of virus-infected and mite-infested trees were different, with a strong aggregation pattern of trees with leprosis symptoms that increased over time. Conversely, the spatial pattern of B. yothersi showed randomness or weak aggregation at all three spatial hierarchical levels. Disease incidence increased steadily in plots of both cultivars, unlike in mite-infested trees where incidence fluctuated over time. These results have important implications for the development of better management strategies for leprosis. Sampling methods and action thresholds for mite control should consider primary disease inoculum in addition to the incidence of mites.     

Soil organic carbon stock variability in the Northern Gangetic Plains of India: interaction between agro‐ecological characteristics and cropping systems

Soil organic carbon (SOC) content and its spatial distribution in the Northern Gangetic Plain (NGP) Zone of India were determined to establish the cause–effect relationship between agro‐ecological characteristics, prevailing crop management practices and SOC stock. Area Spread Index (ASI) approach was used to collect soil samples from the NGP areas supporting predominant cropping systems. Exponential ordinary kriging was found most suitable geo‐statistical model for developing SOC surface maps of the NGP. Predicted surface maps indicated that 43.7% area of NGP had 0.5–0.6% SOC, while the rest of the area was equally distributed with high (0.61–0.75%) and low (< 0.5%) SOC content levels. Averaged across cropping systems, maximum SOC content was recorded in Bhabar and Tarai Zone (BTZ), followed by Central Plain Zone (CPZ), Mid‐Western Plain Zone (MWPZ), Western Plain Zone (WPZ) and South‐Western Plain Zone (SWPZ) of the NGP. The SOC stock was above the optimum threshold (> 12.5 Mg/ha) in 97.8, 57.6 and 46.4% areas of BTZ, CPZ and MWPZ, respectively. Only 9.8 and 0.4% area of WPZ and SWPZ, respectively, had SOC stock above the threshold value. The variation in SOC stock was attributed largely to carbon addition through recycling of organic sources, cropping systems, tillage intensity, crop or residue cover and land‐use efficiency, nutrient‐use pattern, soil texture and prevailing ecosystem. Adoption of conservation agriculture, balanced use of nutrients, inclusion of legumes in cropping systems and agro‐forestry were suggested for enhancing SOC stock in the region.     

基于DMSP/OLS的重庆市夜间灯光与旅游统计数据相关性分析

对重庆市直辖以来的1997年、2002年、2007年、2012年的DMSP/OLS夜间灯光数据、有关旅游数据进行相关性研究,研究间隔周期为5年,结合使用GIS、SPSS软件进行了数据分析处理。研究结果表明:相关系数为0.99,说明重庆夜间灯光指数与有关旅游数据呈高度及显著的相关性,估算得到的旅游数据密度能够从一定层面反映重庆旅游发展状况的宏观分布现状,可为重庆市作出后期的旅游发展空间分布、相关决策等提供一定的参考。     

基于WSN的集中通风式分娩猪舍环境参数时空分布特性

为研究集中通风式分娩猪舍环境参数的时空分布特性,以云南省某规模化种猪场为试验对象,利用无线多源多点远程监测系统(Wireless Sensor Network, WSN),对地沟管道进风、中央排风式分娩母猪舍养殖环境开展了环境参数监测试验,并进行统计分析。试验结果表明,在试验期间内,分娩舍内不同时间段之间的温度(00:00-06:00、06:00-12:00、12:00-18:00以及18:00-00:00的平均温度分别为22.98、23.78、24.44和23.61℃)具有显著性差异(P0.05),相对湿度与温度随时间变化呈现负相关性,相对湿度的峰值点为82.31%,温度场分布均匀性比湿度场好,NH_3浓度分布均匀性比CO_2浓度差。NH3浓度在舍内能被有效的维持在低水平范围,各监测区域的浓度远小于指标值(20 mg/m~3),NH_3和CO_2会呈现出在边角积聚现象。温湿度指数较低,舍内平均温湿度指数(Temperature-humidity Index,THI)水平的峰值点为75.30,生猪出现热应激的概率较低。利用WSN系统,对集中通风式分娩舍环境参数进行多源多点远程监测,分析分娩舍环境参数时空分布特性,为分娩舍通风模式与环境调控策略优化设计提供参考。     

川北地形过渡带地形因子对土地利用与景观格局变化的影响

[目的]基于地形特征分析不同用地类型时空分布变化,不仅能解释土地利用时空变化规律,并能更进一步为优化土地利用结果,生态环境保护奠定基础。[方法]基于四川省北部江油市2003,2010,2018年3期遥感影像,运用土地利用转移矩阵法,分析不同用地类型之间的转化情况;接着利用地形位指数法、分布指数法,分析地形因子影响下不同用地类型分布指数变化特征;之后利用移动窗口法,探究景观格局中斑块密度与Shannon多样性指数时空变化规律;最后结合双变量空间相关性分析,分析地形因子与景观指数间的空间相关性特征。[结果](1)在2003—2010年期间,水田面积减少最多(减少面积2 238.98 hm~2),建设用地面积增加最多(面积增加3 360.36 hm~2);在2010—2018年期间,水田面积减少1 175.84 hm~2,建设用地面积增加1 614.78 hm~2;2003—2010年期间江油市土地利用的变化量整体高于2010—2018年。(2)北部山区主要由旱地转移为林草地,南部平原地区主要为水田转移为建设用地,中部丘陵区域旱地和水田相互转化强烈。(3)随时间变化,旱地和未利用地优势等级向中地形位等级靠拢;低地形位等级上建设用地、水田和水域优势度逐渐降低,并具有优势等级向较高地形位等级扩展趋势。(4)山区河流沿岸以及山地平原交汇处斑块密度与Shannon多样性指数较高,且呈线性分布;随时间变化,丘陵区域斑块密度增加,主城区附近Shannon多样性指数呈下降趋势。(5)高—高聚集区主要表现为向山地丘陵交汇处聚集;城区附近景观指数因受其他因素影响较多,导致该区域景观指数与地形位指数呈现出不显著相关性。[结论]在地形过渡带区域,不同地貌对于各类用地变化的影响在时空上存在差异性,其地形因子与景观指数的空间相关性差异明显。     

基于标准化降水蒸散指数的甘肃省干旱时空特征分析

为明确气候变化条件下甘肃省不同时间尺度的干旱特征，选用1951-2015年甘肃省33个气象站点逐日气象数据，计算了不同时间尺度的标准化降水蒸散指数SPEI，同时结合Mann-Kendall突变检验、复小波分析、经验正交函数分解、旋转经验正交函数分解等方法，对甘肃省65 a来干旱时空格局特征进行了分析。结果表明：在年际变化趋势方面，甘肃省干旱情势为由干变湿再变干，近年干旱趋势逐渐加重；四季均呈现由干变湿然后变干的趋势，近年春季变干趋势显著；干旱强度在全省范围内主要为轻旱和中旱等级，并表现为局域性轻旱和全域性中旱。在周期性变化方面，甘肃省的干旱时间周期性强弱依次为39、13、7、22 a尺度，但不同时间尺度表现出了不同的干湿震荡规律。在空间格局方面，甘肃省整体上呈西北部干旱缓解、东南部干旱加剧的趋势；春季干旱加剧最明显，冬季次之，夏季和秋季干湿状况基本相似。按照干旱区域敏感性强弱可将甘肃省分为东南地区东部（Ⅰ区）、西北地区（Ⅱ区）、中部地区（Ⅲ区）和东南地区西部（Ⅳ区），其中Ⅲ区呈干旱缓解趋势，其他地区基本呈干旱加剧的趋势。     

中国国土空间规划研究进展与展望——基于CiteSpace知识图谱分析

【目的/意义】国土空间规划对促进可持续发展具有重要意义。通过梳理国土空间规划研究网络,可理清不同时期的研究内容及热点演化趋势,并对后续研究者提供参考。【方法/过程】利用CiteSpace知识图谱和文献计量分析方法,对国土空间规划进行计量统计分析,探究当前发展情况,进而分阶段探讨国土空间规划研究内容。【结果/结论】结果表明:(1)1992年以来国土空间规划文献发文量显著上升,多学科交叉日益加强,其中地理学和城乡规划学排在前两位。(2)研究人员和研究机构多集中在东部大城市地区,研究者之间合作较少,合作化程度较低。(3)国土空间规划研究分为缓慢发展、快速增长和日趋成熟三个阶段,具有鲜明的时代特征。研究内容不断深入,由分散趋向统一,但政策导向性明显,生态理念逐渐凸显。