Wang Ying, Wu Rong Jun, Guo Zhao Bing
School of Environmental Science and Engineering, Nanjing University of Information Science Technology, Nanjing 210044, China.
School of Applied Meteorology, Nanjing University of Information Science Technology, Nanjing 210044, China.
Ying Yong Sheng Tai Xue Bao. 2016 May;27(5):1603-1610. doi: 10.13287/j.1001-9332.201605.012.
Based on the modeled products of actual evapotranspiration with NOAH land surface model, the temporal and spatial variations of actual evapotranspiration were analyzed for the Huang-Huai-Hai region in 2002-2010. In the meantime, the agricultural drought index, namely, drought severity index (DSI) was constructed, incorporated with products of MOD17 potential evapotranspiration and MOD13 NDVI. Furthermore, the applicability of established DSI in this region in the whole year of 2002 was investigated based on the Palmer drought severity index (PDSI), the yield reduction rate of winter wheat, and drought severity data. The results showed that the annual average actual evapotranspiration within the survey region increased from the northwest to the southeast, with the maximum of 800-900 mm in the southeast and the minimum less than 300 mm in the northwest. The DSI and PDSI had positive correlation (R=0.61) and high concordance in change trend. They all got the low point (-0.61 and -1.33) in 2002 and reached the peak (0.81 and 0.92) in 2003. The correlation between DSI and yield reduction rate of winter wheat (R=0.43) was more significant than that between PDSI and yield reduction rate of winter wheat (R=0.06). So, the DSI reflected a high spatial resolution of drought pattern and could reflect the region agricultural drought severity and intensity more accurately.
基于NOAH陆面模式的实际蒸散模拟产品,分析了2002—2010年黄淮海地区实际蒸散的时空变化。同时,构建了农业干旱指数即干旱严重程度指数(DSI),并结合MOD17潜在蒸散和MOD13归一化植被指数(NDVI)产品。此外,基于帕尔默干旱严重程度指数(PDSI)、冬小麦减产率和干旱严重程度数据,研究了2002年全年该地区建立的DSI的适用性。结果表明,研究区域内年平均实际蒸散量自西北向东南递增,东南部最大为800—900毫米,西北部最小不足300毫米。DSI与PDSI呈正相关(R=0.61),变化趋势一致性高。二者均在2002年出现低点(-0.61和-1.33),并于2003年达到峰值(0.81和0.92)。DSI与冬小麦减产率的相关性(R=0.43)比PDSI与冬小麦减产率的相关性(R=0.06)更显著。因此,DSI反映了干旱格局的高空间分辨率,能更准确地反映区域农业干旱的严重程度和强度。