通过多个指标对印度卡纳塔克州进行干旱评估
Neha Singhal1, Manoj Khanna2, Man Singh1
1ICAR- Indian Agricultural Research Institute, New Delhi, India, 110012.
Environmental monitoring and assessment
|November 30, 2024
概括
这项研究比较了干旱指数,如SPI和ESI,以评估作物生产的影响. SPI-6和ESI与作物异常有最佳相关性,有助于干旱监测.
科学领域:
- 农业科学 农业科学
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
背景情况:
- 干旱指数对于评估干旱对农业和社会的影响至关重要.
- 选择合适的指数对于了解作物压力条件至关重要.
- 这项研究评估了农业应用的多个干旱指标.
研究的目的:
- 进行各种干旱指数的比较分析.
- 检查这些指数的时空模式及其与作物生产异常的关系.
- 确定最有效的干旱指标来监测农业干旱.
主要方法:
- 标准化降水指数 (SPI),水位指数 (SWI),水库水位指数 (SRLI),MODIS NDVI,NDVI异常,VCI和ESI的比较.
- 对哈里夫农作物生长季节的2001-2019年时空模式进行了分析.
- 相对应的指数数据与缩的Kharif粮食粮食生产异常 (DPA).
主要成果:
- 该地区在2001年至2019年期间经历了15次干旱事件.
- SPI-6 (相关系数:0.76) 和ESI (0.74) 显示与DPA的相关性最强.
- SPI-3,SPI-6,VCI和ESI有效地捕捉了干旱程度,相关性从0.62到0.82.8不等.
结论:
- SPI-6和ESI是监测干旱对作物生产的影响的高效指标.
- 这些发现有助于为农业地区选择关键干旱监测指标.
- 对比分析为干旱管理策略提供了宝贵的见解.
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