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Minychl G. Dersseh, Aron A. Kibret, Seifu A. Tilahun, Abeyou W. Worqlul, Mamaru A. Moges, Dessalegn C. Dagnew, Wubneh B. Abebe and Assefa M. Melesse
Water hyacinth is a well-known invasive weed in lakes across the world and harms the aquatic environment. Since 2011, the weed has invaded Lake Tana substantially posing a challenge to the ecosystem services of the lake. The major factors which affect th...
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Futo Ueda, Hiroto Tanouchi, Nobuyuki Egusa and Takuya Yoshihiro
River water-level prediction is crucial for mitigating flood damage caused by torrential rainfall. In this paper, we attempt to predict river water levels using a deep learning model based on radar rainfall data instead of data from upstream hydrological...
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Minghao Liu, Qingxi Luo, Jianxiang Wang, Lingbo Sun, Tingting Xu and Enming Wang
Land use/cover change (LUCC) refers to the phenomenon of changes in the Earth?s surface over time. Accurate prediction of LUCC is crucial for guiding policy formulation and resource management, contributing to the sustainable use of land, and maintaining...
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Qingyan Wang, Longzhi Sun and Xuan Yang
Rice yield is essential to global food security under increasingly frequent and severe climate change events. Spatial analysis of rice yields becomes more critical for regional action to ensure yields and reduce climate impacts. However, the understandin...
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Lenni Dianna Putri, Ermi Girsang, I Nyoman Ehrich Lister, Hsiang Tsung Kung, Evizal Abdul Kadir and Sri Listia Rosa
Public health is an important aspect of community activities, making research on health necessary because it is a crucial field in maintaining and improving the quality of life in society as a whole. Research on public health allows for a deeper understa...
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Fatemeh Ghanaati, Gholamhossein Ekbatanifard and Kamrad Khoshhal Roudposhti
In recent years, next location prediction has been of paramount importance for a wide range of location-based social network (LBSN) services. The influence of geographical and temporal contextual information (GTCI) is crucial for analyzing individual beh...
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Rosanna Salvia, Giovanni Quaranta, Kostas Rontos, Pavel Cudlin and Luca Salvati
Assuming a non-neutral impact of space, an explicit assessment of metropolitan hierarchies based on local regression models produces a refined description of population settlement patterns and processes over time. We used Geographically Weighted Regressi...
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Jian Chen, Yaowei Li and Shanju Zhang
Rapid prediction of urban flooding is an important measure to reduce the risk of flooding and to protect people?s property. In order to meet the needs of emergency flood control, this paper constructs a rapid urban flood prediction model based on a machi...
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Ya-Hui Chang, Chih-Wei Tseng and Hsien-Chieh Hsu
Urban stormwater drainage systems, which include many personholes to collect and discharge precipitation within a city, are extensively constructed to prevent streets and buildings from flooding. This research intends to build a machine learning model to...
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Ayse Yavuz Ozalp, Halil Akinci and Mustafa Zeybek
The Eastern Black Sea Region is regarded as the most prone to landslides in Turkey due to its geological, geographical, and climatic characteristics. Landslides in this region inflict both fatalities and significant economic damage. The main objective of...
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