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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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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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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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Rutineia Tassi, Enio Júnior Seidel, David da Motta-Marques, Adolfo Villanueva and Latif Kalin
This study explored the role of the hydrological regime as a trigger factor for wildlife roadkill along a 22 km road crossing the Taim Wetland, a Ramsar site of international importance in South Brazil. The north?south crossing of BR-471, a federal highw...
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Roman Waclawowicz, Magdalena Giemza, Elzbieta Pytlarz and Anna Wenda-Piesik
Under the pro-environmental principles of agricultural production, soil cultivation and organic fertilization are of particular importance as strategical elements in reducing weed infestation in the context of sustainable agriculture. The aim of this stu...
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Francesco Chiaravalloti, Tommaso Caloiero and Roberto Coscarelli
Nowadays, the Mediterranean region is generally recognized as a climate change hot spot given its strong response to global warming, with relevant impacts on rainfall amount and distribution. Within this context, in this work the temporal variability of ...
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Yuki Wakatsuki, Hideaki Nakane and Tempei Hashino
The increasing frequency of devastating floods from heavy rainfall?associated with climate change?has made river stage prediction more important. For steep, forest-covered mountainous watersheds, deep-learning models may improve prediction of river stage...
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Ling Zeng, Hongwei Bi, Yu Li, Xiulin Liu, Shuai Li and Jinfeng Chen
Recent evidence of the impact of watershed underlying conditions on hydrological processes have made the assumption of stationarity widely questioned. In this study, the temporal variations of frequency distributions of the annual maximum flood were inve...
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Evangelos Rozos, Panayiotis Dimitriadis, Katerina Mazi and Antonis D. Koussis
Time series analysis is a major mathematical tool in hydrology, with the moving average being the most popular model type for this purpose due to its simplicity. During the last 20 years, various studies have focused on an important statistical character...
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Muhamad Afdal Ahmad Basri, Shazlyn Milleana Shaharudin, Kismiantini, Mou Leong Tan, Sumayyah Aimi Mohd Najib, Nurul Hila Zainuddin and Sri Andayani
Monthly precipitation data during the period of 1970 to 2019 obtained from the Meteorological, Climatological and Geophysical Agency database were used to analyze regionalized precipitation regimes in Yogyakarta, Indonesia. There were missing values in 5...
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