Construction of drub relapse prevention and treatment model based on Behaviour Change Wheel Theory

复吸行为是禁戒毒工作的一个关键性问题.对戒毒人员开展防复吸戒治,降低其复吸风险,对于促进社会安定和公共卫生安全具有重要的意义.但是,降低戒毒后的复吸是一个复杂的系统性工程,需要进行生理-心理-家庭-社会等多层面的康复治疗干预.行为改变轮理论(Behaviour Change Wheel,BCW),被广泛应用于临床康复训练领域,取得了较好的效果.这一理论综合了个人、环境与社会政策等多方面的因素来改变和影响某一行为问题,与复吸行为的综合戒治要求具有高度一致性,能较好地应用到戒毒人员复吸行为的康复训练之中.本研究基于行为改变轮理论的原理和操作技术,探索构建甲基苯丙胺戒毒人员防复吸戒治模型,对毒品成瘾的防复吸戒治提出新的思考和戒治模式,可为禁戒毒实务部门提供一种新的工作借鉴.</p

湖北省湖泊营养物生态分区技术方法研究

提出一种基于主成分分析、聚类分析、判别分析和空间自相关的分区模型,用于对湖北省湖泊营养物生态分区的尝试.运用主成分分析法对众多指标进行降维处理,产生彼此互补又能综合反映湖区情况的新指标,构建了湖北省湖泊营养物生态分区指标体系.在此基础上,根据各区域新指标值结合聚类模型进行湖泊流域的初步分类,利用判别分析完成非湖泊流域的类别归属判别,运用空间自相关分析方法对区域各因素的空间分布格局进行量化分析,以揭示零散分类区块在空间地域分布上的关联和差异,最后根据关联结果确定边界完成分区并进行特征描述.结果表明,利用该分区技术方法体系可以尽量避免人为因素干扰,得到更为客观的分区结果,具有良好的适应性和可行性.</p

Using Hyperspectral Imagery and GA-PLS Algorithm to Estimate Chemical Oxygen Demand Concentration of Water in River Network

【Objective】The hyperspectral remote sensing has proven potential to monitor water quality, but issues such as data redundancy and susceptibility to environmental variation could affect its accuracy and reliability. The genetic algorithm-partial least squares (GA-PLS) algorithm with a function to select sensitive spectral variables could resolve these problems. The GA-PLS algorithm was mainly used in retrieval of the optically active parameters such as transparency, chlorophyll-a, suspended matter and turbidity in surface water bodies. The purpose of this paper is to combine it with hyperspectral retrieval model to estimate chemical oxygen demand (COD) concentration of water in the river network in the Pearl River estuary.【Method】Hyperspectral imageries and COD concentration of 146 samples taken from water bodies in the Pearl River estuary were collected, and the characteristic bands of the hyperspectral reflectance data were screened using the GA-PLS algorithm to retrieve the COD concentration. The differences in retrieval accuracy between different band combinations were compared.【Result】The COD concentration retrieved from the hyperspectral imageries based on the GA-PLS algorithm is more accurate than that calculated using the full-spectrum PLS model. The minimum RMSEP of the method was 4.887 mg/L, 11.4% less than that of the full-spectrum PLS model. Using 74 filtered bands, accounting for 2.9% of the full bands, the model was still stable and accurate. Some characteristic bands obtained by the GA-PLS algorithm have physical interpretation, indicating that the screening results were rational.【Conclusion】The GA-PLS algorithm can be used to screen characteristic bands from the hyperspectral imageries to reduce the number of data and simplify the model as a result. It can accurately estimate COD of water in river networks

基于GA-PLS算法的河网水体化学需氧量高光谱反演

【目的】建立河网水体化学需氧量(COD)高光谱反演模型,验证遗传-偏最小二乘(GA-PLS)算法对建模效果的改善作用。【方法】采集广东省中山市146个点位的水体高光谱数据和COD质量浓度实测数据,通过GA-PLS算法对高光谱反射率数据进行特征波段筛选后建立COD质量浓度反演模型,并比较输入变量为不同特征波段组合时模型反演效果差异。【结果】基于GA-PLS算法的COD质量浓度高光谱模型反演效果优于全谱段PLS模型,验证集RMSEP最小为4.887 mg/L,较全谱段PLS模型降低11.4%;以筛选得到的74个波段(占全波段数的2.9%)作为输入变量时,模型仍可保持良好的稳定性和反演精度;GA-PLS算法筛选得出的部分特征波段与水体中藻类、悬浮颗粒物的吸收特征波段一致,筛选结果具有合理性和指示意义。【结论】通过GA-PLS算法可对高光谱数据进行特征波段筛选,实现数据降维优化,进一步简化模型;在样本COD质量浓度主要分布范围内,GA-PLS算法模型有良好的反演精度和水质类别分类准确性。该方法在河流COD快速监测中具有良好的应用前景