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Estimation of groundwater use by crop production simulated by DSSAT-wheat and DSSAT-maize models in the piedmont region of the North China Plain

机译:华北平原山前地区利用DSSAT-小麦和DSSAT-玉米模型模拟的作物生产对地下水的利用估算

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摘要

Sustainable water use is in serious crisis in the piedmont region of the Taihang Mountains in the North China Plain, owing to rapid groundwater drawdown. Estimating the water requirement for agriculture, the biggest user of groundwater, will be helpful in understanding groundwater decline. Through the use of DSSAT-3.5 wheat and maize models, we assessed water use in winter wheat and maize, two staple crops in the region, in 1987-2001. Trends between groundwater change and simulated agricultural water use were compared. The results showed that groundwater decline was sensitive to simulated crop water requirement and irrigation requirement. According to regression analysis, 100 mm of water requirement by cultivated land (mainly wheat and maize) resulted in about 0.64 m of groundwater decline. This relationship might be useful in understanding the regional water balance and to help decision-makers control groundwater decline through controlling crop water use or through long-distance water transfer. The study demonstrated the usefulness of using the DSSAT model for estimating crop water use and the effectiveness of clarifying the reason for groundwater decline using the simulation results of water use.
机译:由于地下水的迅速流失,华北平原太行山前山地区的可持续水资源利用正处于严重危机中。估算农业用水量(地下水的最大使用者)将有助于理解地下水的下降。通过使用DSSAT-3.5小麦和玉米模型,我们评估了1987-2001年该地区两种主要农作物冬小麦和玉米的用水量。比较了地下水变化和模拟农业用水之间的趋势。结果表明,地下水下降对模拟作物需水量和灌溉需求敏感。根据回归分析,耕地(主要是小麦和玉米)需水100毫米,导致地下水下降约0.64 m。这种关系可能有助于理解区域的水平衡,并有助于决策者通过控制作物用水或通过长途输水来控制地下水的下降。这项研究证明了使用DSSAT模型估算作物用水量的有用性,并通过用水模拟结果澄清了地下水下降的原因的有效性。

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