Knowledge Resource Center for Ecological Environment in Arid Area
| 项目编号 | 41501542 |
| 基于近红外光谱技术的农药土壤吸附系数预测及其流域尺度空间分布规律研究 | |
| 单瑞峰 | |
| 主持机构 | 曲阜师范大学 |
| 开始日期 | 2016 |
| 结束日期 | 2018 |
| 资助经费 | 200000(CNY) |
| 项目类别 | 青年科学基金项目 |
| 资助机构 | CN-NSFC（国家自然科学基金） |
| 语种 | 中文 |
| 国家 | 中国 |
| 英文简介 | Sorption is one of the major processes that determine the fate, effects, and ecological risks of pesticides in terrestrial and aquatic environments. Within a watershed, soil properties are varied greatly because of landscape and management practices, which led to spatial variation of pesticide sorption coefficients (Kd) and organic carbon adsorption coefficients (Koc). It needs a mountain of work for accurately quantifying the spatial variability of sorption coefficients using conventional batch equilibrium technique. In this study, it was proposed that near-infrared spectroscopy (NIRS) could be used to more rapidly quantify the sorption variability of pesticides in soils of Baima river catchment. The herbicides atrazine and acetochlor were selected because of their widely application in these areas. And the study area was an agricultural catchment with hummocky terrain landscapes, which was adaptable to our research target. Several chemometrics methods were used to optimize the prediction model, such as continuous wavelet transform (CWT), standard normal variant transform (SNV), multiplicative scatter correction (MSC), Monte Carlo uninformative variable elimination (MC-UVE), randomization test (RT), consensus strategy PLS and so on. Ultimately, through the optimal prediction model, it was attained to predict the spatial distribution of target pesticide sorption coefficients in soil of the catchment, rapidly and accurately. The objectives of this study were to determine the feasibility of NIRS as a rapid tool to quantify the spatial variability of pesticide sorption coefficients in catmint scale. Compared to the methods of batch equilibrium techniques and Koc evaluation, this study was expected to be more cost-effective, rapid, and reliable. |
| 中文关键词 | 吸附解吸 ; 农药 ; 近红外光谱 ; 化学计量学 ; 空间分布 |
| 来源机构 | 曲阜师范大学 |
| 资源类型 | 项目 |
| 条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/346946 |
| 推荐引用方式 GB/T 7714 | 单瑞峰.基于近红外光谱技术的农药土壤吸附系数预测及其流域尺度空间分布规律研究.2016. |
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