灌溉水利用系数是表征农业灌区灌溉工程基础和运行管理水平重要的综合性技术指标,本文基于干旱新疆农业灌区灌溉工程和用水管理生产实践,采用投入产出模型农田灌溉用水测验等方法,在分析研究灌区投入与目标产出影响效应,田间灌溉用水定...灌溉水利用系数是表征农业灌区灌溉工程基础和运行管理水平重要的综合性技术指标,本文基于干旱新疆农业灌区灌溉工程和用水管理生产实践,采用投入产出模型农田灌溉用水测验等方法,在分析研究灌区投入与目标产出影响效应,田间灌溉用水定额适宜尺度等技术问题的基础上,提出了改进式灌区灌溉水利用系数测算方法,为进一步探究改进农田灌溉水利用系数测算方式,促进灌溉水资源利用效率评估分析水平提供技术参考。The irrigation water utilization coefficient is an important comprehensive technical indicator that characterizes the foundation and operational management level of agricultural irrigation engineering. Based on the irrigation engineering and water management production practice in arid Xinjiang agricultural irrigation areas, this article uses input-output models and agricultural irrigation water testing methods to analyze and study the impact of input and target output in irrigation areas, the appropriate scale of field irrigation water quota, and other technical issues. Based on this, an improved calculation method for irrigation water utilization coefficient in irrigation areas is proposed, providing technical reference for further exploring and improving the calculation method of irrigation water utilization coefficient in farmland, and promoting the evaluation and analysis level of irrigation water resource utilization efficiency.展开更多
为了实现干旱半干旱灌区地表信息低成本、高效率的动态监测,利用HJ-CCD数据的多时相和多光谱信息,探讨了平罗县土地利用遥感分类方法。首先建立研究区内典型地物的NDVI时间序列曲线,提取反映该区物候模式的时序特征参数;然后对土壤信息...为了实现干旱半干旱灌区地表信息低成本、高效率的动态监测,利用HJ-CCD数据的多时相和多光谱信息,探讨了平罗县土地利用遥感分类方法。首先建立研究区内典型地物的NDVI时间序列曲线,提取反映该区物候模式的时序特征参数;然后对土壤信息丰富的3月份多光谱影像进行主成分变换,选取第1主成分(PC1)作为光谱特征参数,最后基于分类回归树(classification and regression tree,CART)算法进行决策树监督分类。总体分类精度达到92.26%,Kappa系数为0.91,比最大似然法分类结果精度提高了2.58%。研究表明:构建的NDVI时间序列曲线对研究区内的地类具有较强的代表性,提取的时间维和光谱维的分类参数对各地类均有很好地区分性,CART决策树算法分类结果清晰准确且精度较高。该方法为HJ小卫星在干旱半干旱区等区域的深入应用提供科学依据和实证基础。展开更多
文摘灌溉水利用系数是表征农业灌区灌溉工程基础和运行管理水平重要的综合性技术指标,本文基于干旱新疆农业灌区灌溉工程和用水管理生产实践,采用投入产出模型农田灌溉用水测验等方法,在分析研究灌区投入与目标产出影响效应,田间灌溉用水定额适宜尺度等技术问题的基础上,提出了改进式灌区灌溉水利用系数测算方法,为进一步探究改进农田灌溉水利用系数测算方式,促进灌溉水资源利用效率评估分析水平提供技术参考。The irrigation water utilization coefficient is an important comprehensive technical indicator that characterizes the foundation and operational management level of agricultural irrigation engineering. Based on the irrigation engineering and water management production practice in arid Xinjiang agricultural irrigation areas, this article uses input-output models and agricultural irrigation water testing methods to analyze and study the impact of input and target output in irrigation areas, the appropriate scale of field irrigation water quota, and other technical issues. Based on this, an improved calculation method for irrigation water utilization coefficient in irrigation areas is proposed, providing technical reference for further exploring and improving the calculation method of irrigation water utilization coefficient in farmland, and promoting the evaluation and analysis level of irrigation water resource utilization efficiency.
文摘为了实现干旱半干旱灌区地表信息低成本、高效率的动态监测,利用HJ-CCD数据的多时相和多光谱信息,探讨了平罗县土地利用遥感分类方法。首先建立研究区内典型地物的NDVI时间序列曲线,提取反映该区物候模式的时序特征参数;然后对土壤信息丰富的3月份多光谱影像进行主成分变换,选取第1主成分(PC1)作为光谱特征参数,最后基于分类回归树(classification and regression tree,CART)算法进行决策树监督分类。总体分类精度达到92.26%,Kappa系数为0.91,比最大似然法分类结果精度提高了2.58%。研究表明:构建的NDVI时间序列曲线对研究区内的地类具有较强的代表性,提取的时间维和光谱维的分类参数对各地类均有很好地区分性,CART决策树算法分类结果清晰准确且精度较高。该方法为HJ小卫星在干旱半干旱区等区域的深入应用提供科学依据和实证基础。