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Combining gray system and poroelastic models to investigate subsidence problems in Tainan, Taiwan

机译:结合灰色系统和孔隙弹性模型研究台湾台南沉陷问题

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摘要

Tainan, located in southwestern Taiwan, is a high-risk region for flooding and climate change effect and has a potential for future heavy rains. Groundwater pumping for aquaculture and irrigation along the coastal plain of Tainan is monitored due to subsidence. Predicting future subsidence and understanding the effect of climate change on subsidence can assist with regard to the planning and management of water and land resources in the early stages of subsidence, whose possible damage can thus be avoided. This study combines a physical model, called the nonlinear poroelastic model, and a gray-box model, called the gray system model, to evaluate and predict subsidence in the Tainan area. The subsidence under the climate change effect caused by changes in groundwater use is estimated. The climate change impact on subsidence and the potential for subsidence hazards are also analyzed. When taking into consideration the climate change effect, it is predicted that subsidence in Tainan will increase with increasing groundwater use. The maximum subsidence will increase from 29 cm (without additional discharge) to 34 cm (with additional 23.6 % discharge) and 35 cm (with additional 31.7 % discharge) in Xiaying District by 2039. The pattern of subsidence areas obtained by combining the nonlinear poroelastic and the gray system models is similar to that obtained using only the gray system model. However, the largest subsidence areas are different, and the subsidence quantity is much lower for the former due to the constraint of the physics-based poroelastic model. The combination of the nonlinear poroelastic model and the gray system model gives more reasonable estimations than either model can give alone. Large subsidence impact areas are located in the northwestern part of Tainan, and the largest impact is in Xiaying District. The potential for subsidence hazards is classified from the subsidence rates. The subsidence rate in Tainan is below 3 cm/year in the target years, and thus the potential for subsidence hazards is at middle and low levels. With climate change, the area with a middle level of potential for subsidence hazards extends across Yanshui, Xiaying, and Beimen Districts. From the study results, although the subsidence quantity is relatively low, rising sea levels and other effects of climate change expose Tainan to a high risk of flooding. Land and water resources should thus be managed to alleviate subsidence problems in the future.
机译:台南位于台湾西南部,是洪水和气候变化影响高发地区,未来可能还会有大雨。由于沉降,监测了台南沿海平原用于水产养殖和灌溉的地下水泵。预测未来的沉降并了解气候变化对沉降的影响可以在沉降的早期阶段协助水资源和土地资源的规划和管理,从而避免可能的破坏。这项研究结合了物理模型(称为非线性多孔弹性模型)和灰箱模型(称为灰色系统模型),以评估和预测台南地区的沉降。估算了由地下水利用变化引起的气候变化影响下的沉降。还分析了气候变化对沉降的影响以及沉降的潜在危险。考虑到气候变化的影响,预计台南的沉降将随着地下水使用量的增加而增加。到2039年,下营区的最大沉降量将从29 cm(不增加排放量)增加到34 cm(增加23.6%排放量)和35 cm(增加31.7%排放量)。结合非线性多孔弹性体获得的沉降区域模式灰色系统模型类似于仅使用灰色系统模型获得的模型。但是,由于基于物理的孔隙弹性模型的限制,最大的沉降面积是不同的,并且前者的沉降量要低得多。非线性多孔弹性模型和灰色系统模型的组合比任何一个模型都不能给出更合理的估计。塌陷影响较大的地区位于台南西北部,影响最大的地区是下营区。沉陷危险的潜在可能性是从沉陷率中分类的。台南市的沉降速率在目标年份内低于3厘米/年,因此潜在的沉降危害处于中低水平。随着气候变化,具有沉陷危险的中等水平的地区遍及盐水,下营和北门地区。根据研究结果,尽管沉降量相对较低,但海平面上升和其他气候变化影响使台南遭受洪灾的风险很高。因此,应管理土地和水资源,以减轻将来的沉降问题。

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