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Yiyuan Xu, Jianhui Zhao, Biao Wan, Jinhua Cai and Jun Wan
Flood forecasting helps anticipate floods and evacuate people, but due to the access of a large number of data acquisition devices, the explosive growth of multidimensional data and the increasingly demanding prediction accuracy, classical parameter mode...
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Livinia Saputra, Sang Hyun Kim, Kyung-Jin Lee, Seo Jin Ki, Ho Young Jo, Seunghak Lee and Jaeshik Chung
The vadose zone acts as a natural buffer against groundwater contamination, and thus, its attenuation capacity (AC) directly affects groundwater vulnerability to pollutants. A regression model from the previous study predicting the overall AC of soils ag...
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Zekâi Sen
In the open literature, there are numerous studies on the normal and extreme (flood and drought) behavior of wet and dry periods based on the understanding of the standard precipitation index (SPI), which provides a series of categorizations by consideri...
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Yang Liu and Qianqian Zhang
Analyzing 165 data from five national control sites in Baiyangdian Lake, this study unveils its spatiotemporal pattern of water quality. Utilizing machine learning and multivariate statistical techniques, this study elucidates the effects of rainfall and...
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Ken?ichi Koshimizu and Taro Uchida
After multiple simultaneous landslides caused by heavy rainfall, expanding landslides continue to occur for a certain duration. Evaluation of the influencing period of sediment yield due to expanding landslides is vital for comprehensive sediment managem...
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Yulong Liu, Shuxian Liu and Juepu Chen
Accurate precipitation forecasting is of great significance to social life and economic activities. Due to the influence of various factors such as topography, climate, and altitude, the precipitation in semi-arid and arid areas shows the characteristics...
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Dongsheng Li, Jinfeng Ma, Kaifeng Rao, Xiaoyan Wang, Ruonan Li, Yanzheng Yang and Hua Zheng
Accurate rainfall prediction remains a challenging problem because of the high volatility and complicated essence of atmospheric data. This study proposed a hybrid model (DSP) that combines the advantages of discrete wavelet transform (DWT), support vect...
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Xiaying Wang, Yumei Yang, Yuanping Xia, Shuaiqiang Chen and Yulin She
As one of the most developed coastal cities, Shanghai experiences long-term ground surface settlement disasters during urban expansion periods, which has adverse effects on economic development. To date, many studies regarding Shanghai?s ground surface s...
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Saad Sh. Sammen, Mohammad Ehteram, Zohreh Sheikh Khozani and Lariyah Mohd Sidek
Predicting reservoir water levels helps manage droughts and floods. Predicting reservoir water level is complex because it depends on factors such as climate parameters and human intervention. Therefore, predicting water level needs robust models. Our st...
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Li He, Shasha Ji, Kunlun Xin, Zewei Chen, Lei Chen, Jun Nan and Chenxi Song
Hydraulic monitoring data is critical for optimizing drainage system design and predicting system performance, particularly in the establishment of data-driven hydraulic models. However, anomalies in monitoring data, caused by sensor failures and network...
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