摘要
通过两种不同的干旱判别方法研究我国亚热带红壤丘陵区季节性干旱的发生状况及严重程度。首先,以鹰潭红壤区相应的气象数据资料为基础,从土壤水分平衡原理出发,应用桑斯维特修正公式,建立土壤干旱指数模型,据此计算分析土壤可能蒸散量及其土壤干旱指数;其次,利用鹰潭市余江县刘垦三分场花生和橘园地两年生长季的土壤水分数据进行土壤湿度分析,估算土壤相对湿度指数。以便结合土壤干旱标准对鹰潭红壤区季节性干旱进行判别研究,进而选择合适的干旱判别方法。研究结果表明：从气象数据出发,该地区5、6月无旱情发生,7—9月为干旱多发月份;从土壤水分数据出发,试验场的花生和橘园地5—9月均有旱情发生,但7—9月旱情更为严重;两种方法所得结果虽不完全一致,但基本趋势一致;对比两者,选择前者作为干旱判别方法更为合理,有利于为当地防御干旱、科学利用土地、合理灌溉及提高农作物产量提供依据。
With two drought identification methods the occurrence status and severity of seasonal drought in subtropical red soil hilly regions were studied.First, starting from the soil water balance principle a soil drought index model was established by using Thornthwaite formula on the basis of the corresponding meteoro-logical data in the red soil hilly region of Yingtan,then the soil potential evapotranspiration and soil drought in-dex were calculated and analyzed.Next,the soil moisture was analyzed to estimate the relative soil moisture in-dex by using the soil moisture data of peanut and orange grove land in the growing seasons in two years in the Liu Ken Third-Farm of Yujiang County in Yingtan.The seasonal drought discriminating in Yingtan red soil re-gion was studied with soil drought standard,and then proper drought identification methods were selected.The results showed：from the meteorological data it was found that no drought occurred in May and June in this re-gion and July to September were the drought-prone months;from the soil moisture data it was found that the proving grounds were always dry from May to September but the drought was more serious from July to Septem-ber.Thought the results of the two methods were not exactly the same,the underlying trend was consistent.Com-paring the two methods, choosing the former as the drought identification method is more reasonable.All this provides the basis for drought defense,scientific using of land,reasonable irrigation and improvement of crop production in the local city.
出处
《江西农业大学学报》
CAS
CSCD
北大核心
2015年第4期749-758,共10页
Acta Agriculturae Universitatis Jiangxiensis
基金
国家自然科学基金(41175098)
江苏省青蓝工程项目
江苏省高校优势学科建设工程(PAPD)
