Zhou Ya-Long, Guo Zhi-Juan, Liu Fei, Hang Wei, Kong Mu, Zhao Chuan-Dong, Liu Ai-Tao, Peng Min, Wang Qiao-Lin, Wang Cheng-Wen
Institute of Geophysical & Geochemical Exploration, Chinese Academy of Geological Sciences, Langfang 065000, China.
Research Center of Geochemical Survey and Assessment on Land Quality, China Geological Survey, Langfang 065000, China.
Huan Jing Ke Xue. 2021 Apr 8;42(4):1989-2002. doi: 10.13227/j.hjkx.202008133.
In order to evaluate the land quality geochemical survey achievement in the service of the accurate management of urban land resources, the initial area of the Xiong'an New District as urbanization pathfinder in China is chosen as the research subject. The sample points were set by differential classification, and the spatial interpolation accuracy of the soil elements at a plot scale and a quantitative assessment of the consistency of the land plot (pattern spot) prediction evaluation were studied under the conditions of different sampling densities. The regional geochemical variation values randomly distributed on the plane can be reflected quantitatively by differential classification sampling, which can meet the basic demand of the quality attribute of a single plot (map spot) by the accurate management of urban land resources. The spatial variability of soil elements is mostly middle to moderate, and Cd, Cu, Pb, Hg, Se, N, P, and other elements of high spatial variability are affected by human industrial and agricultural production activities. Under the same sampling density, the larger the element variation coefficient, the worse the spatial interpolation accuracy. Although the interpolation accuracy of the same element index is affected by the sampling density, the increase in the sampling density could not identify the continuous component on the structure of the soil element content. The soil environment is clean, and the heavy metal content is lower than the GB15618-2018 standard. The interpolation results are basically consistent with the grading results of the measured values, while the contents of N, P, and K of the nutrient indices vary greatly, and the predicted and measured geochemical grades of the plots (map spot) differ substantially under the influence of factors such as human disturbance and spatial variability. The quantitative evaluation of the six different sampling densities indicates that the 16 points·km sampling density adopted in the geochemical survey and evaluation of urban land quality can satisfy the needs of an accurate control of urban land resources in the study area and similar areas. The research can provide key technologies to support and serve the accurate management of urban land resources for geochemical surveys and the evaluation of land quality in land parcel scale cities.
为评估土地质量地球化学调查成果服务于城市土地资源精准管理的效果,选取中国城镇化先行区雄安新区起步区作为研究对象。通过差异化分类设置采样点,研究了不同采样密度条件下样地尺度土壤元素的空间插值精度以及地地块(样斑)预测评价一致性的定量评估。差异化分类采样能够定量反映平面上随机分布的区域地球化学变异值,通过精准管理城市土地资源可满足单个地块(图斑)质量属性的基本需求。土壤元素的空间变异性大多为中等,Cd、Cu、Pb、Hg、Se、N、P等空间变异性高的元素受人类工农业生产活动影响。在相同采样密度下,元素变异系数越大,空间插值精度越差。虽然同一元素指标的插值精度受采样密度影响,但采样密度的增加无法识别土壤元素含量结构上的连续成分。土壤环境清洁,重金属含量低于GB15618-2018标准。插值结果与实测值分级结果基本一致,而养分指标中N、P、K含量变异较大,在人为干扰和空间变异性等因素影响下,地块(图斑)预测与实测地球化学等级差异较大。对六种不同采样密度的定量评估表明,城市土地质量地球化学调查与评价采用的16点·km采样密度能够满足研究区及类似区域城市土地资源精准管控的需求。该研究可为城市土地质量地球化学调查及地块尺度城市土地质量评价精准管理城市土地资源提供关键技术支撑与服务。