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[1]Sun, M., Luo, Q., Yang, Y., Nan, T., Zhang, J., Ma, L., et al., 2025. Enhancing aquifer characterization with position‐encoded hyperparameters: A novel ES‐SIFG approach. Water Resources Research, 61, e2024WR038468. https://doi.org/10.1029/2024WR038468
[2]张勇，骆乾坤，刘鑫，李迎春，邓亚平，马雷，钱家忠. 2025. ERT法监测含水层重金属污染及原位化学修复过程研究.高校地质学报，31（1）：067-083.
[3]孔志伟，骆乾坤，赵梦， 等.2025.含水层氯代烃污染原位生物修复系统优化设计研究.环境科学学报，45（3）：211-220.
[4]刘明力，骆乾坤，吴剑锋，宋健，杨蕴，孙晓敏. 2025. 地下水污染监测网优化设计研究综述.高校地质学报，31（1）：034-047.
[5]孙猛，骆乾坤，孔志伟，郭明，刘明力，钱家忠，2024. 一种新的估计非高斯分布含水层渗透系数的方法，水文地质工程地质，51（3），23-33.
[6]常兴, 骆乾坤, 邓亚平, 马雷, 钱家忠, 2022. 裂隙宽度空间变异性和泄漏条件对网络裂隙中DNAPLs运移影响研究. 水文地质工程地质 49, 174–181.
[7]Luo, Q., Wu, Jianfeng, Yang, Y., Qian, J., Wu, Jichun, 2014. Optimal design of groundwater remediation system using a probabilistic multi-objective fast harmony search algorithm under uncertainty. J. Hydrol. 519, 3305–3315.
[8]Yang, Y., Wu, Jichun, Luo, Q., Wu, Jianfeng, 2022. An effective multi-objective optimization approach for groundwater remediation considering the coexisting uncertainties of aquifer parameters. J. Hydrol. 609, 127677.
[9]Luo, Q., Wu, Jianfeng, Yang, Y., Qian, J., Wu, Jichun, 2016. Multi-objective optimization of long-term groundwater monitoring network design using a probabilistic Pareto genetic algorithm under uncertainty. J. Hydrol. 534, 352–363.
[10]赵梦, 骆乾坤, 刘蒙, 邓亚平, 马雷, 钱家忠, 2022. 地下水中氯代烃污染原位生物修复精细模拟研究. 环境科学学报 42, 178–187.
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