4.7 Article

Importance of variability in initial soil moisture and rainfalls on slope stability

Journal

JOURNAL OF HYDROLOGY
Volume 571, Issue -, Pages 265-278

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.jhydrol.2019.01.046

Keywords

Slope stability uncertainty; Variability; Initial soil pore water pressure; Rainfall characteristics; Large-uncertainty zone; Low-reliability zone

Funding

  1. National Natural Science Foundation of China [41672313, 41807264]
  2. Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) [CUG170686]
  3. China Scholarship Council [201406410032]
  4. Global Expert award through Tianjin Normal University from the Thousand Talents Plan of Tianjin City

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A first-order moment analysis is developed to investigate the temporal and spatial propagation of uncertainty of slope stability during rainfall, considering spatial variabilities in initial soil water pressure and soil hydraulic properties, and temporal variability of rainfall. Results of the analysis indicate that the uncertainties resulting from variabilities in initial soil pore water pressure distributions and rainfalls are comparable with that from the variability in soil hydraulic properties. Further, the evolution of slope stability uncertainty is driven by the mean flow field, and a localized large-uncertainty zone along the slope profile could form, leading to a localized low-reliability zone, which may lead to the failure of the slope. In particular, when the slope is close to saturation, the reliability of the stability analysis of any elevation of the slope is low even at early rainfall times. On the other hand, when the slope is unsaturated and heavy rainfalls occur, the low-reliability zone exists at shallow parts of the slope at early times. The results also show that greater unreliability exists at shallow depths at early times when the rainfall has a descending trend in comparison with uniform and increasing trend. Lastly, the low-reliability zone is always near the impermeable bedrock if rainfall persists.

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Smout, Antonio Soares, Chunjiao Song, Kshitij Srivastava, Rupesh K. Srivastava, Jim Sun, Attila Szabo, Wiktor Szymanski, Chan N. P. Tai, Hisashi Takeuchi, S. Tanadini-Lang, Fei Tang, Wanyin Tao, G. Theron, Chang F. Tian, Yu-Shi Tian, Lisa M. Tuttle, Anna Valenti, Pierre Verlot, Mirella Walker, Jun Wang, Danielle Welter, Matthew Winslade, Dalei Wu, Yi-Rui Wu, Han Xiao, Beisi Xu, Juan Xu, Ziyue Xu, Dongdong Yang, Mingjun Yang, Patricio Yankilevich, Yuyi You, Chenglong Yu, Jian Zhan, Gong Zhang, Kai Zhang, Tuo Zhang, Yi Zhang, Guoyan Zhao, Jing Zhao, Xiaofan Zhou, Zhenxing Zhu, Penelope A. Ajani, Udunna C. Anazodo, Saeed A. Bagloee, Kasia Bail, Ido Bar, Joe Bathelt, David Benkeser, Meghan L. Bernier, Adam M. Blanchard, Dominic W. Boakye, Vasileios Bonatsos, Michele H. Boon, George Bouboulis, Elizabeth Bromfield, Joshua Brown, Kim C. M. Bul, Kathryn J. Burton, Eugene G. Butkowski, Grace Carroll, Fengqing Chao, Elisabeth E. Charrier, Xiaoyin Chen, Yu-Chih Chen, Chenguang, Jane R. Choi, Tore Christoffersen, Joao C. Comel, Cyril Cosse, Yanru Cui, Pieter van Dessel, Dhaval, Daria Diodato, Maelle Duffey, Avik Dutt, Luis G. Egea, Mohammed El-Said, Martin Faye, Beatriz Fernandez-Fernandez, Kieran G. Foley, Luria L. Founou, Fan Fu, Rabea A. Gadelkareem, Evgeny Galimov, Gulcan Garip, Alison Gemmill, Quentin Gouil, James Grey, Zoya Gridneva, Michel J. Grothe, Theophile Grebert, Fabricio Guerrero, Leo Guignard, Marco J. Haenssgen, David Hasler, Joan Y. Holgate, Ancheng Huang, Amanda M. Hulse-Kemp, Claire Jean-Quartier, Sang-Min Jeon, Yangyang Jia, Catherine Jutzeler, Panagiotis Kalatzis, Masud Karim, Kathrin Karsay, Anne Keitel, Andreas Kempe, Jeremy R. Keown, Chin M. Khoo, Nyil Khwaja, Rogier A. Kievit, Aleksandra Kosanic, Dimitrios A. Koutoukidis, Paul Kramer, Dilip Kumar, Nukhet Kirag, Giuseppe Lanza, Thuc D. Le, Jung W. Leem, Daniel Leightley, Andreia Leite, Lukas Lercher, Ying Li, Renly Lim, Luiz R. A. Lima, Li Lin, Tong Ling, Yuchen Liu, Zhonghua Liu, Yao Lu, Fok M. Lum, Hang Luo, Jatin Machhi, Angus Macleod, Isaac Macwan, Hanumantha R. Madala, Nima Madani, Nicola de Maio, Kalina Makowiecki, Daniel J. Mallinson, Ruta Margelyte, Caracausi Maria, Y. Markonis, Luca Marsili, Suzanne Mavoa, Lorna McWilliams, Moa Megersa, Caetano S. M. Mendes, Julia Menichetti, Rebecca Mercieca-Bebber, Jack J. Miller, David-Paul M. Minde, Alexander Minges, Eleanor Mishra, Virendra R. Mishra, Carly Moores, Nicola Morrice, Alexander E. Moskalensky, Nicolo Navarin, Edessa Negera, Philippe Nolet, Ana Nordberg, Rickard Norden, Jessica P. Nowicki, Nelly Olova, Pawel Olszewski, Robert Onzima, Chih-Long Pan, Charny Park, Dong Ik Park, Seyoung Park, Chandrashekhar D. Patil, Sansoa A. Pedro, Samuel R. Perry, Jessica Peter, Brent M. Peterson, Andrea Pezzuolo, Ilya Pozdnyakov, Siyu Qian, Lei Qin, Ali Rafe, Ishier Raote, Ali Raza, Henrike Rebl, Osama Refai, Tim Regan, Tambi Richa, Mark F. Richardson, K. R. Robinson, Luca Rossoni, Romain Rouet, Soroush Safaei, Pierre H. H. Schneeberger, Daniela Schwotzer, Agata Sebastian, Jennifer Selinski, Stefanie Seltmann, Feng Sha, Nir Shalev, Jin-Long Shang, Josef Singer, Mandeep Singh, Taylor Smith, Emma Solomon-Moore, Lijuan Song, Samuele Soraggi, Ryan Stanley, Nico Steckhan, Frederic Strobl, Lorenzo Subissi, Irwan Supriyanto, Chinmay R. Surve, Tomo Suzuki, Caitlin Syme, Karl Sorelius, Young Tang, Marwa Tantawy, Sumudu Tennakoon, Serafino Teseo, Christine Toelzer, Nikola Tomov, Miguel Tovar, Linh Tran, Sushil Tripathi, Anil M. Tuladhar, Azubuike C. Ukubuiwe, Carolina O. L. Ung, Kaspar Valgepea, Hamid Vatanparast, Arnau Vidal, Fang Wang, Qing Wang, Ricky Watari, Rebecca Webster, Ruth Webster, Junnian Wei, David Wibowo, Tanja S. H. Wingenbach, Rose M. Xavier, Shumin Xiao, Peng Xiong, Shicai Xu, Shilin Xu, Ruifeng Yao, Wen Yao, Qinan Yin, Yongbo Yu, Masayoshi Zaitsu, Zian Zeineb, Xiao-Yong Zhan, Jilei Zhang, Rongqiang Zhang, Wei Zhang, Xianglilan Zhang, Shan Zheng, Bailing Zhou, Xiaoyan Zhou, Haroon Ahmad, Sayo A. Akinwumi, Gregory F. Albery, Ahmed Alhowimel, Junaid Ali, Mansour Alshehri, Mohammed Alsuhaibani, Andrey Anikin, Samuel O. Azubuike, Anders Bach-Mortensen, Lior Baltiansky, Martin Bartas, Kiflemariam Y. Belachew, Vivek Bhardwaj, Karin Binder, Nicholas S. Bland, Michael Boah, Benjamin Bullen, Giovanna E. Calabro, Tiffany J. Callahan, Bing Cao, Kelsey Chalmers, Wei Chang, Zhengping Che, Andrew T. Y. Chen, Haimin Chen, Huaming Chen, Youning Chen, Zhao Chen, YoungRok Choi, Mohiuddin A. K. Chowdhury, Martin R. Christensen, Robert S. C. Cooke, Marzia Cottini, Natalie V. Covington, Catriona Cunningham, Julien Delarocque, Lucie Devos, Aurup R. Dhar, Ke-Feng Ding, Kexian Dong, Zheng Dong, Niklas Dreyer, Chelsea Ekstrand, Tanguy Fardet, Berhanu E. Feleke, Thomas Feurer, Angela Freitas, Tian Gao, N. G. Asefa, Francesco Giganti, Piotr Grabowski, Jose R. Guerra-Mora, Chengying Guo, Xinyi Guo, Himanshu Gupta, Shuonan He, Marloes Heijne, Stephanie Heinemann, Alexander Hogrebe, Zhengping Huang, Sophinese Iskander-Rizk, Lavanya M. Iyer, Yasmin Jahan, Ameh S. James, Emmanuel Joel, Bastian Joffroy, Clara Jegousse, George Kambondo, Priyanka Karnati, Cihan Kaya, An Ke, Daniel Kelly, Rob Kickert, Peter E. Kidibule, Jennifer P. Kieselmann, Hyeon J. Kim, Takeshi Kitazawa, Aniek Lamberts, You Li, Huakang Liang, Sabrina N. Linn, Thomas Litfin, Wang Liusuo, Vasiliki Lygirou, Ajay K. Mahato, Zhi-Ming Mai, Rupert W. Major, Samira Mali, Panagiotis Mallis, Wenzhi Mao, Wenzhi Mao, Katie Marvin-Dowle, Katie Marvin-Dowle, Leanda D. Mason, Ben Merideth, Maria J. Merino-Plaza, Britt Merlaen, Rossella Messina, Anand K. Mishra, Junaid Muhammad, Conrad Musinguzi, Afroditi Nanou, Amreen Naqash, Joe T. Nguyen, Thi T. H. Nguyen, Duan Ni, Nida, Shirli Notcovich, Barnabas Ohst, Quinn R. Ollivier, Daniel F. Osses, Xiangda Peng, Arnoud Plantinga, Michael Pulia, Muhammad Rafiq, Ayush Raman, Delphine Raucher-Chene, Rafal Rawski, Asit Ray, Lubna A. Razak, Kevin Rudolf, Peter Rusch, Margaux L. Sadoine, Axel Schmidt, Roey Schurr, Stephen Searles, Saurab Sharma, Barry Sheehan, Chunhu Shi, Belal Shohayeb, Andrew Sommerlad, Jan Strehlow, Xianbao Sun, Raghav Sundar, Ghazaleh Taherzadeh, Nur D. M. Tahir, Jun Tang, Jean Testa, Zhiqi Tian, Qian Tingting, Geert P. Verheijen, Casey Vickstrom, Teng Wang, Xiaomin Wang, Zhenxing Wang, Pan Wei, Alex Wilson, Wyart, Abdul-Amir Yassine, Abbas Yousefzadeh, Asma Zare, Zhen Zeng, Chengrong Zhang, Haowen Zhang, Linxing Zhang, Tongchuan Zhang, Weijia Zhang, Zhe Zhang, Jianyu Zhou, Dongjie Zhu, Vincenzo Adamo, Adebolajo A. Adeyemo, Maria Aggelidou, Adi M. Al-Owaifeer, Arwa Z. Al-Riyami, Saeed K. Alzghari, Vibeke Andersen, Kathryn Angus, Muhammad Asaduzzaman, Hadi Asady, Dai Ato, Xiaoyong Bai, Rebecca L. Baines, Maghan Ballantyne, Bo Ban, Jill Beck, Walid Ben-Nafa, Emma Black, Antoine Blancher, Ron Blankstein, Neil Bodagh, Paulo A. V. Borges, Anastasia Brooks, Josue Brox-Ponce, Arturo Brunetti, Colin D. Canham, Piero Carninci, Richard Carvajal, Shun C. Chang, Jie Chao, Pranab Chatterjee, He Chen, Yi-Chun Chen, Adnan K. Chhatriwalla, Ibrahim Chikowe, Trees-Juen Chuang, Rosane G. Collevatti, Diego A. Valera-Cornejo, Ana Cuenda, Myriam Dao, Delphine Dauga, Zaian Deng, Kiran Devkota, Lisa V. Doan, Yaser H. A. Elewa, Dongsheng Fan, Mohammed Faruk, Shi Feifei, Trevor S. Ferguson, Francesco Fleres, Emma J. Foster, C. Stephen Foster, Tzvi Furer, Yibo Gao, Enid J. Garcia-Rivera, Adi Gazdar, Ronald B. George, Sayantan Ghosh, Elena Gianchecchi, Joshua M. Gleason, Allan Hackshaw, Adam Hall, Richard Hall, Paul Harper, William E. Hogg, Guangqun Huang, Kylie E. Hunter, Adriaan P. IJzerman, Carlos Jesus, Gao Jian, James S. Lewis, Souha S. Kanj, Harsheen Kaur, Shona Kelly, Fayez Kheir, V. S. Kichatova, Musa Kiyani, Reinhild Klein, Tom Kovesi, Jennifer L. Kraschnewski, Addanki P. Kumar, Dmitry Labutin, Alejandro Lazo-Langner, Guy Leclercq, Maoteng Li, Qingchun Li, Tangliang Li, Yongzhe Li, Wei-Ting Liao, Zheng-yin Liao, Jessica Lin, J. Lizer, Giambattista Lobreglio, Cher Lowies, Cheng Lu, Haroon Majeed, Adam Martin, Luis Martinez-Sobrido, Edwin Meresh, Marianne Middelveen, Alireza Mohebbi, Jorge Mota, Zahra Mozaheb, Ley Muyaya, Amar Nandhakumar, Sheryl H. X. Ng, Monther Obeidat, Deog-Hwan Oh, Mohammed Owais, Pia Pace-Asciak, Ajay Panwar, Caroline Park, Chris Patterson, Felipe Penagos-Tabaree, Paolo T. Pianosi, Valentina Pinzi, Clare Pridans, Anna Psaroulaki, Ravi Kumar Pujala, Leonardo Pulido-Arjona, Peng-Fei Qi, Proton Rahman, Nayanjot K. Rai, Tienush Rassaf, Julie Refardt, Walter Ricciardi, Olaf Riess, Alexandros Rovas, Frank M. Sacks, Sherif Saleh, Christopher Sampson, Axel Schmutz, Robert Sepanski, Neeraj Sharma, Manisha Singh, Paul Spearman, Mehala Subramaniapillai, Ritu Swali, Cher M. Tan, Juan I. Tellechea, Lisa-Marie Thomas, Xin Tong, Ralf Veys, Veronica Vitriol, Horng-Dar Wang, Jinhui Wang, Jiucun Wang, Jason Waugh, S. A. Webb, Brendan A. Williams, Alan D. Workman, Tingxiu Xiang, Li-Xin Xie, Jun Xu, Taosheng Xu, Chongjun Yang, Jihoon G. Yoon, Christina M. Yuan, Arno Zaritsky, Yao Zhang, Haochen Zhao, Hannah Zuckerman, Ran Lyu, Wayne Pullan, Yaoqi Zhou

DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION (2019)

Article Engineering, Civil

Reconstructing high-resolution groundwater level data using a hybrid random forest model to quantify distributed groundwater changes in the Indus Basin

Arfan Arshad, Ali Mirchi, Javier Vilcaez, Muhammad Umar Akbar, Kaveh Madani

Summary: High-resolution, continuous groundwater data is crucial for adaptive aquifer management. This study presents a predictive modeling framework that incorporates covariates and existing observations to estimate groundwater level changes. The framework outperforms other methods and provides reliable estimates for unmonitored sites. The study also examines groundwater level changes in different regions and highlights the importance of effective aquifer management.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Hydrological modelling of large-scale karst-dominated basin using a grid-based distributed karst hydrological model

Lihua Chen, Jie Deng, Wenzhe Yang, Hang Chen

Summary: A new grid-based distributed karst hydrological model (GDKHM) is developed to simulate streamflow in the flood-prone karst area of Southwest China. The results show that the GDKHM performs well in predicting floods and capturing the spatial variability of karst system.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Using a physics-based hydrological model and storm transposition to investigate machine-learning algorithms for streamflow prediction

Faruk Gurbuz, Avinash Mudireddy, Ricardo Mantilla, Shaoping Xiao

Summary: Machine learning algorithms have shown better performance in streamflow prediction compared to traditional hydrological models. In this study, researchers proposed a methodology to test and benchmark ML algorithms using artificial data generated by physically-based hydrological models. They found that deep learning algorithms can correctly identify the relationship between streamflow and rainfall in certain conditions, but fail to outperform traditional prediction methods in other scenarios.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Uncertainty separation of drought projection in the 21st century using SMILEs and CMIP6

Yadong Ji, Jianyu Fu, Bingjun Liu, Zeqin Huang, Xuejin Tan

Summary: This study distinguishes the uncertainty in drought projection into scenario uncertainty, model uncertainty, and internal variability uncertainty. The results show that the estimation of total uncertainty reaches a minimum in the mid-21st century and that model uncertainty is dominant in tropical regions.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Quantifying the natural flood management potential of leaky dams in upland catchments, Part II: Leaky dam impacts on flood peak magnitude

Z. R. van Leeuwen, M. J. Klaar, M. W. Smith, L. E. Brown

Summary: This study quantifies the effectiveness of leaky dams in reducing flood peak magnitude using a transfer function noise modelling approach. The results show that leaky dams have a significant but highly variable impact on flood peak magnitude, and managing expectations should consider event size and type.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Forecasting and optimization for minimizing combined sewer overflows using Machine learning frameworks and its inversion techniques

Zeda Yin, Yasaman Saadati, M. Hadi Amini, Linlong Bian, Beichao Hu

Summary: Combined sewer overflows pose significant threats to public health and the environment, and various strategies have been proposed to mitigate their adverse effects. Smart control strategies have gained traction due to their cost-effectiveness but face challenges in balancing precision and computational efficiency. To address this, we propose exploring machine learning models and the inversion of neural networks for more efficient CSO prediction and optimization.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Characterizing nitrogen dynamics and their response to sediment dredging in a lowland rural river

Qimou Zhang, Jiacong Huang, Jing Zhang, Rui Qian, Zhen Cui, Junfeng Gao

Summary: This study developed a N-cycling model for lowland rural rivers covered by macrophytes and investigated the N imports, exports, and response to sediment dredging. The findings showed a considerable N retention ability in the study river, with significant N imports from connected rivers and surrounding polders. Sediment dredging increased particulate nitrogen resuspension and settling rates, while decreasing ammonia nitrogen release, denitrification, and macrophyte uptake rates.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Using a two-step downscaling method to assess the impact of climate change on total nitrogen load in a small basin

Xue Li, Yingyin Zhou, Jian Sha, Man Zhang, Zhong-Liang Wang

Summary: High-resolution climate data is crucial for predicting regional climate and water environment changes. In this study, a two-step downscaling method was developed to enhance the spatial resolution of GCM data and improve the accuracy for small basins. The method combined medium-resolution climate data with high-resolution topographic data to capture spatial and temporal details. The downscaled climate data were then used to simulate the impacts of climate change on hydrology and water quality in a small basin. The results demonstrated the effectiveness of the downscaling method for spatially differentiated simulations.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Permafrost on the Tibetan Plateau is degrading: Historical and projected trends

Tongqing Shen, Peng Jiang, Jiahui Zhao, Xuegao Chen, Hui Lin, Bin Yang, Changhai Tan, Ying Zhang, Xinting Fu, Zhongbo Yu

Summary: This study evaluates the long-term interannual dynamics of permafrost distribution and active layer thickness on the Tibetan Plateau, and predicts future degradation trends. The results show that permafrost area has been decreasing and active layer thickness has been increasing, with an accelerated degradation observed in recent decades. This has significant implications for local water cycle processes, water ecology, and water security.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Quantifying precipitation moisture contributed by different atmospheric circulations across the Tibetan Plateau

Chi Zhang, Xu Zhang, Qiuhong Tang, Deliang Chen, Jinchuan Huang, Shaohong Wu, Yubo Liu

Summary: Precipitation over the Tibetan Plateau is influenced by systems such as the Asian monsoons, the westerlies, and local circulations. The Indian monsoon, the westerlies, and local circulations are the main systems affecting precipitation over the entire Tibetan Plateau. The East Asian summer monsoon primarily affects the eastern Tibetan Plateau. The Indian monsoon has the greatest influence on precipitation in the southern and central grid cells, while the westerlies have the greatest influence on precipitation in the northern and western grid cells. Local circulations have the strongest influence on the central and eastern grid cells.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

A methodology to improve the accuracy of Total phosphorous diffuse load estimates from agroforestry watersheds

Manuel Almeida, Antonio Rodrigues, Pedro Coelho

Summary: This study aimed to improve the accuracy of Total Phosphorus export coefficient models, which are essential for water management. Four different models were applied to 27 agroforestry watersheds in the Mediterranean region. The modeling approach showed significant improvements in predicting the Total Phosphorus diffuse loads.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Prediction of dissolved organic nitrogen via spectroscopic fingerprint in the shallow riverbed sediments of effluent-dominated rivers: A case study in Xi'an, northwest China

Yutao Wang, Haojie Yin, Ziyi Wang, Yi Li, Pingping Wang, Longfei Wang

Summary: This study investigated the distribution and transformation of dissolved organic nitrogen (DON) in riverbed sediments impacted by effluent discharge. The authors found that the spectral characteristics of dissolved organic matter (DOM) in surface water and sediment porewater could be used to predict DON variations in riverbed sediments. Random forest and extreme gradient boosting machine learning methods were employed to provide accurate predictions of DON content and properties at different depths. These findings have important implications for wastewater discharge management and river health.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Uncertainty analysis of 100-year flood maps under climate change scenarios

Saba Mirza Alipour, Kolbjorn Engeland, Joao Leal

Summary: This study assesses the uncertainty associated with 100-year flood maps under different scenarios using Monte Carlo simulations. The findings highlight the importance of employing probabilistic approaches for accurate and secure flood maps, with the selection of probability distribution being the primary source of uncertainty in precipitation.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Hydrological consequences of controlled drainage with subirrigation

Janine A. de Wit, Marjolein H. J. van Huijgevoort, Jos C. van Dam, Ge A. P. H. van den Eertwegh, Dion van Deijl, Coen J. Ritsema, Ruud P. Bartholomeus

Summary: The study focuses on the hydrological consequences of controlled drainage with subirrigation (CD-SI) on groundwater level, soil moisture content, and soil water potential. The simulations show that CD-SI can improve hydrological conditions for crop growth, but the success depends on subtle differences in geohydrologic characteristics.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Understanding the global success criteria for managed aquifer recharge schemes

Constantin Seidl, Sarah Ann Wheeler, Declan Page

Summary: Water availability and quality issues will become increasingly important in the future due to climate change impacts. Managed Aquifer Recharge (MAR) is an effective water management tool, but often overlooked. This study analyzes global MAR applications and identifies the key factors for success, providing valuable insights for future design and application.

JOURNAL OF HYDROLOGY (2024)