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贵州省喀斯特山区灌区作物耗水遥感解译研究OA

Remote Sensing Interpretation of Crop Water Consumption in Irrigation Areas of Karst Mountainous Regions in Guizhou Province

中文摘要英文摘要

为准确把握贵州省喀斯特山区灌区作物耗水规律,促进水资源高效利用和农业可持续发展,基于2021-2023年NASA遥感影像等数据,采用通量分解法解译作物耗水量,并结合典型气象站点蒸发数据对解译结果进行验证与分析.结果表明,在时间分布上,作物耗水呈现明显季节变化,夏季因高温与作物旺盛生长达到峰值,旬耗水量为30~50 mm;冬季因低温与作物休眠降至低谷,旬耗水量小于10 mm;年际差异主要受降水波动控制.在空间分布上,南部与东部部分地区耗水值最高,局部地区高于650 mm,与水稻主产区、高降水区耦合;低值区局部低于250 mm,与旱作区、低降水区及喀斯特地貌区耦合;其余地区耗水值主要集中在400~500 mm.地形保水能力与作物需水系数(水稻>烤烟>玉米)共同驱动空间分异.验证结果显示,观测值与建模结果相关性较高,解译结果精度可靠.研究成果可为贵州灌区农业水资源管理提供科学依据.

To accurately grasp the crop water consumption patterns in irrigation areas of karst mountainous regions in Guizhou Province and promote efficient water resource utilization and sustainable agricultural development,based on NASA(National Aeronautics and Space Administration)remote sensing images and other data from 2021 to 2023,this paper adopts the flux decomposition method to interpret crop water consumption,and verifies and analyzes the interpretation results combined with evaporation data from typical meteorological stations.The results show that in terms of temporal distribution,crop water consumption exhibits obvious seasonal variation,reaching its peak in summer due to high temperatures and vigorous crop growth,with decadal water consumption of 30-50 mm;it drops to its lowest value in winter due to low temperatures and crop dormancy,with decadal water consumption less than 10 mm;interannual differences are mainly affected by precipitation fluctuations.In terms of spatial distribution,water consumption is relatively high in some areas of the south and east,with local areas exceeding 650 mm,corresponding to the distribution of rice-growing areas and high precipitation zones;low-value areas are locally below 250 mm,corresponding to dry farming areas,low precipitation zones,and karst landform areas;other areas have water consumption mainly concentrated at 400-500 mm.Terrain water retention capacity and differences in crop water demand coefficients(rice>flue-cured tobacco>corn)jointly drive the spatial differentiation of crop water consumption.Verification results show a high correlation between observed values and modeling results,and the interpretation results have reliable accuracy.The research results can provide reference for agricultural water resource management and crop water consumption monitoring in irrigation areas of Guizhou Province.

吴海宽;李长江;彭芸

贵州省水利科学研究院,贵州 贵阳 550000贵州省水利科学研究院,贵州 贵阳 550000贵州省水利科学研究院,贵州 贵阳 550000

建筑与水利

喀斯特山区灌区作物耗水遥感解译

karst mountainous areairrigation areacrop water consumptionremote sensing interpretation

《海河水利》 2026 (7)

12-19,8

贵州省科技厅课题"基于人工智能的蔬菜变量水肥决策技术研究——以威宁高原蔬菜保供基地为例(黔科合支撑[2022]一般167)"贵州省科技计划项目"农田水利智慧测控贵州省科技创新领军人才工作站(合同号:黔科合平台[2025]054)"贵州省科学技术厅项目"水工程安全贵州省科技创新领军人才工作站"(合同号:黔科合平台KXJZ[2024]026)

10.3969/j.issn.1004-7328.2026.07.003

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