印度曼尼普尔山谷地区绿水和蓝水水稻种植对经济生产力的影响

IF 1.4 4区地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

Remote Sensing Letters Pub Date : 2023-09-30 DOI:10.1080/2150704x.2023.2264494

N Bidyarani Chanu, Bakimchandra Oinam

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引用次数: 0

摘要

粮食是世界上绝大多数人口的主食，也是世界上最大的淡水消费国之一。不幸的是，气候变化将进一步恶化对蓝水的需求，特别是对水稻种植的需求需要密切监测。本研究利用中分辨率成像光谱辐射计蒸散发(MOD16)和气候危害组红外降水站(CHIRPS)数据集对曼尼普尔河谷地区水稻的空间水足迹(WF)进行了评估。此外，还对绿水和蓝水条件下水稻的经济水分生产力进行了评价。结果表明，平均空间WF为772.14 ~ 1456.23 m3/t。根据比较全国平均水平的数据，90%的河谷地区的WF值低于全国整体水平。水稻的绿色和蓝色WF分别为596.62立方米/吨至673.42立方米/吨和65.79立方米/吨至767.65立方米/吨。蓝色WF的空间变化与研究区内的降雨量和灌溉量有关。由于绿水的经济稀缺性低于蓝水，绿色经济水生产率逐渐低于蓝色经济水生产率。这项研究可以帮助水资源管理部门在经济价值计算上制定有利于水资源可利用性的作物分配计划。感谢曼尼普尔邦农业部和曼尼普尔邦环境与气候变化局为本项目的运行提供了与作物相关的数据和天气数据。我们也感谢NASA和CHIRPS通过各自的档案提供数据集。我们将感谢人力资源发展部、印度政府和曼尼普尔国立理工学院提供的博士奖学金。披露声明作者未报告潜在的利益冲突。

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The impact of rice cultivation in green and blue water on the economic productivity of the valley region of Manipur, India

ABSTRACTRice is a staple food for the vast majority of the world’s population and one of the world’s largest consumers of freshwater. Unfortunately, climate change will further worsen the demand for blue water demand, particularly for rice cultivation needs to be closely monitored. Our study assessed the spatial water footprint (WF) of rice for the valley region of Manipur using Moderate Resolution Imaging Spectro-radiometer Evapotranspiration (MOD16) and Climate Hazards Group Infrared Precipitation with Station (CHIRPS) datasets. In addition, rice’s economic water productivity of green and blue water was evaluated. Results showed an average spatial WF ranging from 772.14 to 1456.23 m3/tonne. According to data comparing the national average, 90% of the valley area has a lower WF value than the country as a whole. The green and blue WF of rice ranges from 596.62 m3/tonne to 673.42 m3/tonne and 65.79 m3/tonne to 767.65 m3/tonne, respectively. The spatial variation of the blue WF is due to the amount of rainfall and irrigation application within the study area. The green economic water productivity is getting lower than the blue economic water productivity due to green water’s lesser economic scarcity than blue water. This study can help plan crop allocation in favour of water availability by water management authorities on economic value calculations.KEYWORDS: MOD16CHIRPSricewater footprint AcknowledgmentsWe thank the Department of Agriculture, Manipur, and the Directorate of Environment and Climate Change, Manipur, for providing crop-related and weather data for running this project. We also thank NASA and CHIRPS for providing the dataset through the respective archives. We will be grateful to the Ministry of Human Resource Development, the Government of India and the National Institute of Technology Manipur for PhD fellowship.Disclosure statementNo potential conflict of interest was reported by the authors.

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来源期刊

Remote Sensing Letters REMOTE SENSING-IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

CiteScore

4.10

自引率

4.30%

发文量

审稿时长

6-12 weeks

期刊介绍： Remote Sensing Letters is a peer-reviewed international journal committed to the rapid publication of articles advancing the science and technology of remote sensing as well as its applications. The journal originates from a successful section, of the same name, contained in the International Journal of Remote Sensing from 1983 –2009. Articles may address any aspect of remote sensing of relevance to the journal’s readership, including – but not limited to – developments in sensor technology, advances in image processing and Earth-orientated applications, whether terrestrial, oceanic or atmospheric. Articles should make a positive impact on the subject by either contributing new and original information or through provision of theoretical, methodological or commentary material that acts to strengthen the subject.