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DSSAT-SUBSTOR马铃薯模型的参数敏感性分析及适宜性评价 被引量:5
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作者 段丁丁 何英彬 +3 位作者 于金宽 刘莉 徐瑞阳 李文娟 《安徽农业大学学报》 CAS CSCD 2019年第3期521-527,共7页
对DSSAT-SUBSTOR马铃薯模型进行参数敏感性分析及适宜性评价,是利用模型进行马铃薯业务化估产的关键一步。利用全局敏感性分析方法 EFAST对模型的32个输入参数进行敏感性分析;采用实测数据对马铃薯的品种遗传参数进行标定,以出苗日、块... 对DSSAT-SUBSTOR马铃薯模型进行参数敏感性分析及适宜性评价,是利用模型进行马铃薯业务化估产的关键一步。利用全局敏感性分析方法 EFAST对模型的32个输入参数进行敏感性分析;采用实测数据对马铃薯的品种遗传参数进行标定,以出苗日、块茎起始日、最大LAI值和产量作为适宜性评价指标;通过调节品种遗传参数,分析其对4个适宜性评价指标的影响机理。结果表明,对产量敏感的品种遗传参数包括:块茎开始生长的临界温度上限(TC)、光周期系数(P2)、潜在块茎生长率(G3),其全局敏感性指数分别为0.69、0.35和0.22;土壤参数包括:根生长系数(SRGF)、土壤排水上限(SDUL)、排水率(SLDR)、有机碳含率(SLOC)、土壤总氮含率(SLNI)、土壤溶液pH值(SLHW),其全局敏感性指数依次为0.49、0.28、0.19、0.17、0.15和0.12;田间管理参数包括:播种日期(PDATE)、灌溉日期(IDATE)、灌溉量(IRAVI)和施氮量(FAMN),其全局敏感性指数依次为:0.63、0.41、0.33和0.18。DSSAT-SUBSTOR模型在研究区域内有很强的适宜性:实测出苗日与模型模拟值相同,实测块茎起始日与模拟值相差1 d,实测最大LAI值与模拟值的决定系数R^2=0.918 8,实测单产与模拟值的相对误差为5.72%。5个品种遗传参数均不能决定马铃薯的出苗日(EDAPS),但对产量(UYAHS)和最大LAI值(LAIS)均有不同程度的影响,光周期系数(P2)和块茎开始生长的临界温度上限(TC)会对块茎起始日(TDAPM)产生不同影响。研究结果可为DSSAT-SUBSTOR马铃薯模型的参数优化和区域应用提供科学理论基础。 展开更多
关键词 DSSAT模型 马铃薯 敏感性分析 EFAST方法 适宜性
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Climate change impact assessment on three major crops in the north-central region of Bangladesh using DSSAT 被引量:1
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作者 Atikur Rahman Mohammad Abdul Mojid Selina Banu 《International Journal of Agricultural and Biological Engineering》 SCIE EI CAS 2018年第4期135-143,共9页
The potential consequences of climate change emanated from global warming are very alarming;the greatest concern is the potentially disastrous consequences on crop agriculture and food security in many parts of the wo... The potential consequences of climate change emanated from global warming are very alarming;the greatest concern is the potentially disastrous consequences on crop agriculture and food security in many parts of the world.Bangladesh is a country highly susceptible to climate change,but information in this regard is still inadequate.This study investigated the effects of climate change on three major crops-wheat,potato and rice-in the north-central region of Bangladesh.Two climate change scenarios,A2 and B2,of the Intergovernmental Panel on Climate Change(IPCC)were generated by employing MAGICC/SCENGEN model together with the observed climate data of the region.The growth and yield of the crops were simulated using DSSAT CERES-Wheat,SUBSTOR-Potato and CERES-Rice models under the present and projected future changing climatic conditions.For a predicted 5.32℃ increase in temperature in the year 2100,the yield of wheat,rice and potato would decrease by 47.6%,67.8%and 38.6%,respectively.The increased temperature would accelerate physiological maturity of the crops as reflected by their reduced length of growing season(LGS)by 1.20%to 18.5%.The reduced LGS would reduce seasonal evapotranspiration(ET)of the crops by shortening time-span for ET generation.Due to dominant yield reduction over ET reduction,the water use efficiency(WUE)for grain/tuber and biomass yields would decrease with the changing climate.The reduced crop yields are an indicative of a potential future risk of food security in Bangladesh.The results of this study can therefore guide to adopt coping mechanisms in the light of climate change to ensure future food security of the country. 展开更多
关键词 climate change DSSAT MAGICC/SCENGEN model CERES model substor model growing season length crop-water use
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