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Assessment of probable groundwater changes under representative concentration pathway (RCP) scenarios through the wavelet–GEP model
Environmental Earth Sciences ( IF 2.8 ) Pub Date : 2021-06-17 , DOI: 10.1007/s12665-021-09746-9
Babak Ghazi , Esmaeil Jeihouni , Kamran Kouzehgar , Ali Torabi Haghighi

The main objective of this research was to evaluate the possible impact of climate change on groundwater levels in the Tasuj Plain, Iran. To accomplish this, the values of precipitation for a near future period was projected through four general circulation models (GCM). Then, the groundwater level variations through the genetic expression programming (GEP) model were evaluated. The projection results indicated that the average annual precipitation with 33.55 mm in the base period would decline to 20.51, 20.11, and 19.14 mm under three representative concentration pathway (RCP) scenarios, namely, RCP2.6, RCP4.5, RCP8.5, respectively. The values of the determination coefficient range from 0.92 to 0.99; the root mean square error between 0.12 and 0.61, and mean absolute error from 0.08 to 0.54 showed that in the forecasting of groundwater level through the GEP model, all models have acceptable results. The evaluation of groundwater level simulation demonstrated that the developed model through the precipitation and previous groundwater level performs better. Prediction of groundwater level for a future period based on climate change scenarios indicated that the average groundwater level in Tasuj Plain at the beginning of the period would experience a gradual reduction and would then increase very slightly to the end of the period. Overall, it was found that the declining precipitation under climate change has no significant impacts on the groundwater level in the Tasuj Plain, and other parameters like anthropogenic activities could be the primary reason for groundwater depletion.



中文翻译:

通过小波-GEP模型评估代表性浓度路径(RCP)情景下可能的地下水变化

本研究的主要目的是评估气候变化对伊朗塔苏伊平原地下水位的可能影响。为实现这一目标,通过四个大环流模型 (GCM) 预测了近期的降水值。然后,通过遗传表达编程(GEP)模型评估地下水位变化。预测结果表明,在RCP2.6、RCP4.5、RCP8.5三种代表性浓度路径(RCP)情景下,基期33.55 mm的年平均降水量将下降至20.51、20.11和19.14 mm,分别。决定系数取值范围为0.92~0.99;均方根误差在 0.12 到 0.61 之间,平均绝对误差从 0.08 到 0。图 54 表明,在通过 GEP 模型预测地下水位时,所有模型的结果都可以接受。地下水位模拟评估表明,通过降水和以前的地下水位开发的模型性能更好。基于气候变化情景对未来时期地下水位的预测表明,塔苏季平原的平均地下水位在该时期开始时会逐渐下降,然后到该时期结束时会略微增加。总体而言,发现气候变化导致的降水减少对Tasuj平原地下水位没有显着影响,人为活动等其他参数可能是地下水枯竭的主要原因。地下水位模拟评估表明,通过降水和以前的地下水位开发的模型性能更好。基于气候变化情景对未来时期地下水位的预测表明,塔苏季平原的平均地下水位在该时期开始时会逐渐下降,然后到该时期结束时会略微增加。总体而言,发现气候变化导致的降水减少对Tasuj平原地下水位没有显着影响,人为活动等其他参数可能是地下水枯竭的主要原因。地下水位模拟评估表明,通过降水和以前的地下水位开发的模型性能更好。基于气候变化情景对未来时期地下水位的预测表明,塔苏季平原的平均地下水位在该时期开始时会逐渐下降,然后到该时期结束时会略微增加。总体而言,发现气候变化导致的降水减少对Tasuj平原地下水位没有显着影响,人为活动等其他参数可能是地下水枯竭的主要原因。基于气候变化情景对未来时期地下水位的预测表明,塔苏季平原的平均地下水位在该时期开始时会逐渐下降,然后到该时期结束时会略微增加。总体而言,发现气候变化导致的降水减少对Tasuj平原地下水位没有显着影响,人为活动等其他参数可能是地下水枯竭的主要原因。基于气候变化情景对未来时期地下水位的预测表明,该时期开始时Tasuj平原的平均地下水位将逐渐下降,然后到该时期结束时将略微增加。总体而言,发现气候变化导致的降水减少对Tasuj平原地下水位没有显着影响,人为活动等其他参数可能是地下水枯竭的主要原因。

更新日期:2021-06-18
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