Temporal variation of soil erosion resistance on sloping farmland during the growth stages of maize (Zea mays L.)

Maize growth has great effects on soil properties and thus likely induces the changes in soil erosion resistance on sloping farmland. However, temporal variation of soil erosion resistance during the growth stages of maize is still unclear in the mountainous yellow soil area where maize is the dominant crop. In this study, four maize plots (MP) and four bare land plots (CK) were conducted to investigate soil erosion resistance, and multiple indicators of soil erosion resistance were measured including the total soil anti-scourability (TAS), mean weight diameter (MWD), soil erodibility K factor and soil shear strength (SH). A comprehensive soil erosion resistance index (CSERI) was employed to quantify the temporal variation of soil erosion resistance during the growth stages of maize (seedling stage, SS; jointing stage, JS; tasselling stage, TS; maturing stage, MS). The results showed that TAS, MWD, SH increased significantly with maize growth and SH decreased when at MS. But K factor decreased significantly over time. CSERI increased significantly during the growth stages of maize and the CSERI of JS, TS, MS increased on average by 74.72, 180.68 and 234.57% than that of SS. Compared to CK, CSERI of MP increased by 49.90, 66.82, 55.60 and 38.61% during the growth stages of maize. The temporal variation of soil erosion resistance was closely related to the changes in maize cover, maize roots and soil organic carbon. The findings demonstrated that it is necessary to consider the temporal variation of soil erosion resistance in the mountainous yellow soil area.     

基于LiDAR的农田地形环境三维重建方法

为克服传统农田土地平整测量方法耗时费力的特点,提出采用LiDAR技术对农田地形进行重建的探索性研究。通过HDL-32E型激光雷达等搭建了系统的硬件平台,应用C++语言编写了系统数据的采集程序;在此基础上对激光雷达所采集数据进行了标定,研究了农田地形重建系统中不同坐标系的转换方法;同时基于最小值去噪法设计了更适用于农田地形点云去噪的均值限差去噪法。通过对比在农田起伏较大区域不同坡度范围内RTK与激光雷达所测单元个数,对系统精度进行了评价;最后实现了车载农田地形重建系统的界面显示、应用与精度评估。结果表明,在10°~15°、25°~30°大坡度范围内激光雷达所获农田地形更为丰富,精度更高。该方法重建的农田地形模型点云数据和原始农田地形点云数据投影面积逼近度可达93%,验证了本文研究方法应用于农田地形环境重建的可行性,同时为今后的土地精细平整工作提供了理论参考与依据。     

农村土地调查基本农田上图方法

土地是人类赖以生存和社会发展的物质基础,耕地是农业生产最基本、不可替代的生产资料。基本农田调查是农村土地调查最为重要的一个部分,基本农田上图工作对于政府部门制定土地政策、优化土地结构、保护耕地、提高耕地质量具有十分重要的意义。本文从基本农田概念的引入、基本农田上图技术流程、基本农田保护块上图以及图件编制、数据汇总几个方面阐述了农村土地调查基本农田的上图方法。     

基于GIS的镇巴县耕地质量分等定级

以2010年镇巴县土地利用数据库为基础数据,在对已有的农用地分等工作确定的相关参数、分等因素及其权重分析论证的基础上,利用GIS空间分析技术,采用多因素综合分析法,对耕地质量等级评价指标信息值进行补充和完善,确定镇巴县耕地质量等级,为镇巴县农用地质量动态监测提供决策依据.     

冬小麦农田不同高度极端气温预测[ ]

利用2019年1月—2022年6月冬小麦农田小气候自动观测站观测的数据和齐河县国家基本气象观测站同期观测资料,采用多元线性回归和BP神经网络方法,建立冬小麦农田30 cm、60 cm、150 cm日最高和日最低气温预测模型。结果表明:两种模型对农田气温的预测效果均较好,阴天条件下150 cm最高气温预测效果最好;晴天条件下30 cm最高气温预测效果最差。两模型模拟结果分层次看,农田气温的模拟精度150 cm>60 cm>30 cm;分天气类型看,多元回归模型农田各层气温的模拟精度阴天>多云>晴天,BP神经网络模型农田30 cm、60 cm最高气温的模拟精度多云>阴天>晴天,农田30 cm最低气温的模拟精度多云与阴天相同,均大于晴天,农田60 cm最低气温的模拟精度晴天>多云>阴天,农田150 cm最高及最低气温的模拟精度晴天与多云相同,均大于阴天;分要素看,30 cm最低气温的模拟精度高于最高气温、60 cm和150 cm最高气温的模拟精度高于最低气温。通过比较,BP神经网络模型的预测精度比多元线性回归模型的预测精度高。两种模型均能满足冬小麦农田气温的预测需求。     

贵州喀斯特山区墓地利用管理初探--以毕节亮岩峰丛山地为例

通过对贵州亮岩峰丛山地的墓地进行调查和初步研究, 结果显示墓地在一定坡度上的特定地段有集中趋势,而喀斯特地区土体厚度则是影响墓地分布的重要因素之一.绝大多数墓地集中分布在日照较好、排水畅通、土体较厚的阳坡山麓地带,以占用质量较优的耕地为主.因此,在墓地利用管理实践中, 实施统一规划、集中管理,建立有偿使用制度、严格用地指标,加强墓地绿化,实施墓地园林化建设等措施,以期多元化开发利用墓地,有效保护耕地资源.     

中国耕地和农村宅基地利用转型耦合分析

土地利用转型,即在社会经济变化和革新的驱动下,某一区域在一段时期内由一种土地利用形态转变为另一种土地利用形态的过程。在中国,耕地和农村宅基地乃土地利用转型的重要源头。本文综合利用2000 年和2008 年两期Landsat TM 影像解译土地利用数据及2000-2008 年国土资源部土地利用年度变更调查数据,分析了中国耕地和农村宅基地利用转型的时空耦合特征。研究表明：① 2000-2008 年期间,中国耕地面积与农村宅基地面积变化的相关系数为-0.921,呈现出明显的增减逆协同演进格局;② 耕地—宅基地变化相关系数与农村宅基地利用变化率的Spearman 等级相关分析结果表明,在耕地和农村宅基地利用的相互转化过程中,农村宅基地利用的变化起主导作用;③ 通过计算全国各省2000-2008 年间的耕地—宅基地变化耦合系数,发现期间耕地和农村宅基地利用变化耦合程度高的省份主要分布在胡焕庸线的东南部。社会经济—生物自然—土地管理三维驱动因素通过“农村人口—耕地—农村宅基地”三者之间的相互联系与相互作用驱动着耕地和农村宅基地利用的转型。然而,耕地和农村宅基地利用转型的时空耦合现象及其发生机制在很大程度上要归因于中国特殊的城乡二元结构社会体制。     

The Implementation Effects of a Nationwide Sloping Farmland Soil Erosion Control Project in China

To understand implementation of a nationwide sloping farmland soil erosion comprehensive control project during China’s 12^th Five-Year Plan we used data collection and expert consultation. We selected 24 indexes across three aspects including project management, engineering construction and implementation benefit and used AHP-grey correlation analysis methods. We found that the scores for engineering construction were greater than 0.65 in most of the provinces, autonomous regions and municipalities. These scores are high and scores for project management and implementation benefit are between 0.45-0.65; however, overall scores are low. The comprehensive evaluation results are normally distributed. The composite scores for Sichuan, Yunnan and Guizhou are 0.71, 0.68 and 0.68 respectively, indicating that the implementation effects are good. The scores for Jilin and Liaoning are 0.38 and 0.42 respectively, indicating that the implementation effects need improvement. Scores for other provinces are between 0.45-0.65 and the effects are medium. The evaluation results show certain zonal rules spatially and the implementation effect in karst regions of Southwest China is the highest, followed by the purple soil region in Southwest China, Loess Plateau region of Northwest China, earth-rock mountain region of North China and red soil hilly region of South China. The implementation effect in the black soil region of Northeast China suggests that improvement is needed in this region.     

基于农作物食用安全的土壤重金属风险阈值

采用单项超标指数法对德兴铜矿区土壤和农作物重金属含量进行评价,发现土壤中与农作物中的重金属超标不一致,尤其是Pb、Cd在土壤中不超标或超标很少,但在农作物中超标极其严重。为了解决土壤超标与农作物超标不匹配问题,依据国家食品卫生标准,提出基于农作物安全的土壤重金属风险阈值方法,给出德兴地区农田土壤重金属超标风险阈值。该方法解决了国家标准评价时出现的超标界限偏差和考虑土壤使用情况单一的问题。很好地为德兴铜矿地区水稻和小白菜种植地点的选择和超标土壤的治理提供科学依据,更加灵活地应用于农业生产过程中。