首页> 外文会议>International Society for Photogrammetry and Remote Sensing Ahmedabad Workshop >IMPACT OF CLIMATE CHANGE ON RICE AND GROUNDNUT YIELD USING PRECIS REGIONAL CLIMATE MODEL AND DSSAT CROP SIMULATION MODEL
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IMPACT OF CLIMATE CHANGE ON RICE AND GROUNDNUT YIELD USING PRECIS REGIONAL CLIMATE MODEL AND DSSAT CROP SIMULATION MODEL

机译:Precis区域气候模型和DSSAT作物仿真模型,气候变化对水稻和林竹产量的影响

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Impact of climate change on agriculture will be one of the major deciding factors influencing the future food security of mankind on the earth. Climate change studies over the past few decades have mostly focused on regional and local scales which are of paramount importance in assessing the impacts of climate change on agriculture. To assess the impact of climate change in agriculture over Tamil Nadu, outputs of PRECIS Regional Climate Model and DSSAT crop simulation model were used. PRECIS Regional Climate Model was used for downscaling of a domain over the whole Tamil Nadu with a horizontal resolution of 0.22 deg (approx25km). The PRECIS was run from 1960 up to 2098 continuously. However, 28 years of data for 17 grids comprising two districts (Tanjore-6 grids and Tiruvannamalai-11 grids) alone was selectively post processed and used in crop simulation model. The level of CO_(2) enrichment had increased the yield of both crops compared to normal level of CO_(2) (330ppm). There was no definite trend of impact of predicted temperature on both rice and groundnut yield.
机译:气候变化对农业的影响将是影响地球上未来粮食安全的主要决定因素之一。过去几十年的气候变化研究主要集中在区域和地方等级上,这对于评估气候变化对农业的影响至关重要。为评估泰米尔纳德农业的气候变化的影响,使用了Precis区域气候模型和DSSAT作物模拟模型的产出。 Precis区域气候模型用于整个泰米尔纳德邦的域级域,水平分辨率为0.22°(大约25km)。 Precis于1960年持续运行,持续高达2098年。然而,仅在处理和用于作物仿真模型中选择性地发布并使用包括两个地区(Tanjore-6网格和Tiruvannamalai-11网格)的28年的17个网格数据。与正常水平的CO_(2)(330ppm)相比,CO_(2)富集的水平增加了两种作物的产量。预测温度对水稻和林竹产量的影响没有明确的影响。

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