Mapping the fishing intensity in the coastal waters off Guangdong province, China through AIS data

Chen, Shenglan; Lin, Wenzhi; Zeng, Chen; Liu, Binshuai; Serres, Agathe; Li, Songhai

doi:10.1016/j.watbs.2022.100090

Cited by 5 publications

(3 citation statements)

References 44 publications

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“…The highest prevalence of human‐induced and unspecified injuries in JM, SWH, and SNB could be linked to the different types and intensities of human activities at each location. For example, fishing activities differ among locations (Guan et al, 2021) and experience both seasonal (e.g., Chen et al, 2022; Guan et al, 2021; Li et al, 2021) and annual variations (Lin et al, 2021). These variations, and the fact that it is impossible to date injuries, make it hard to link injury prevalence with a specific time and activity level at a specific location.…”

Section: Discussionmentioning

confidence: 99%

Injuries and skin condition of Indo‐Pacific humpback dolphins (Sousa chinensis) in the northern South China Sea

Serres

Lin

Liu

et al. 2023

Marine Mammal Science

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Indo‐Pacific humpback dolphins (Sousa chinensis) inhabiting the Chinese coastline of the northern South China Sea are subject to intense human activity. To investigate potential impacts to dolphins, photographs taken from 2010 to 2021 in five different locations were analyzed. Among individual dolphins (N = 1,159), 10.6% presented human‐induced injuries. Adults were more frequently injured than young dolphins, and individuals from around Jiangmen, Hainan, and Sanniang Bay presented the highest injury prevalence. More research should be conducted in areas that have been subject to less research, such as Jiangmen and Hainan, and the dolphin watching activities occurring in Sanniang Bay should be monitored and regulated. Forty‐seven percent of dolphins presented skin conditions, with orange patches being the most frequent (41.5%). Orange patches and hyper‐pigmented pink spots were significantly less prevalent in summer and fall than in winter and spring. Orange patches were less frequent in females than in males, as well as with calves relative to older age classes. Seasonal patterns may be linked to water temperatures, while demographic patterns may be associated with immune defenses. These findings allow for a better understanding of the potential impact of human activities on Indo‐Pacific humpback dolphins and should inform further conservation measures.

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Section: Discussionmentioning

confidence: 99%

Injuries and skin condition of Indo‐Pacific humpback dolphins (Sousa chinensis) in the northern South China Sea

Serres

Lin

Liu

et al. 2023

Marine Mammal Science

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“…Since 2000, when Taiwan joined the WTO, agriculture declined [17,18] and industrial water demand increased. The government's method of water allocation was to encourage the use of fallow fields and allow water to be allocated from agriculture to industry [19,20], especially to leading industries such as the semiconductor industry, which was the key to driving and promoting Taiwan's position in the global industrial chain.…”

Section: Background Of Taiwan's Water Conflictsmentioning

confidence: 99%

The Competitions, Negotiations, and Collaborations of Regional Integration: A Perspective on Sustainable Management of Water Resources in Pingtung Plain, Taiwan

et al. 2022

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A consultative and cooperative perspective on water management is vital in regional sustainability. However, previous approaches often failed to consider the complex trade-offs involved in water resource allocation. This study explores theoretical perspectives on regional integration as a policy goal through the process of water allocation. The main purpose is to explain new areas created by allocation and regional integration with local-scale cases. The connections between post-structuralism, fragmentation, and heterogeneity are explored with five case studies of groundwater zoning: a Xinyuan buried pipe compensation, a Ligang well closure and power shutdown, a Dachaozhou artificial lake, a Wandan hold back well, and a Meinong anti-deep-water wells. Along with the case studies, secondary literature, interviews, and a field investigation were used. The time span of water conflicts was from 1973 to 2019, and the spatial scope is the groundwater distribution area. The study found that regional integration and dynamic balance are each other’s subject and object, which was empirically verified through the water conflicts in agriculture and the semiconductor industry. Regional integration comes through scaled and flexible methods of operation, and is produced through special market agents and post-structural spaces. In the process, the imbalance caused by conflict must also be adjusted and evolved through cooperation, competition, and negotiation to maintain the dynamic balance. This involves internal treatment of the local government, external integration of the central government, and technological evolution within the organization. Accordingly, several suggestions are proposed that may be helpful for sustainable water resource governance. In summary, this study makes up for the shortcomings of water management patterns constructed by simple spatial overlaying of regional integration. Our findings could effectively enhance negotiations and collaboration in water management for regional sustainability.

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“…Wang [11] synthesized the representations of ships using recorded AIS, investigating them through spatiotemporal matrices. Other studies [12] focused on monitoring fishing activities using AIS data, creating fishing intensity maps, or applying logistic regression to categorize and determine unknown ship types [13]. There is also a growing interest in trajectory extraction and clustering, like the route prediction algorithm based on Ornstein-Uhlenbeck random processes [14].…”

Section: Introductionmentioning

confidence: 99%

biSAMNet: A Novel Approach in Maritime Data Completion Using Deep Learning and NLP Techniques

Li,

Wang

2024

JMSE

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In the extensive monitoring of maritime traffic, maritime management frequently encounters incomplete automatic identification system (AIS) data. This deficiency poses significant challenges to safety management, requiring effective methods to infer corresponding ship information. We tackle this issue using a classification approach. Due to the absence of a fixed road network at sea unlike on land, raw trajectories are difficult to convert and cannot be directly fed into neural networks. We devised a latitude–longitude gridding encoding strategy capable of transforming continuous latitude–longitude data into discrete grid points. Simultaneously, we employed a compression algorithm to further extract significant grid points, thereby shortening the encoding sequence. Utilizing natural language processing techniques, we integrate the Word2vec word embedding approach with our novel biLSTM self-attention chunk-max pooling net (biSAMNet) model, enhancing the classification of vessel trajectories. This method classifies targets into ship types and ship lengths within static information. Employing the Taiwan Strait as a case study and benchmarking against CNN, RNN, and methods based on the attention mechanism, our findings underscore our model’s superiority. The biSAMNet achieves an impressive trajectory classification F1 score of 0.94 in the ship category dataset using only five-dimensional word embeddings. Additionally, through ablation experiments, the effectiveness of the Word2vec pre-trained embedding layer is highlighted. This study introduces a novel method for handling ship trajectory data, addressing the challenge of obtaining ship static information when AIS data are unreliable.

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Mapping the fishing intensity in the coastal waters off Guangdong province, China through AIS data

Cited by 5 publications

References 44 publications

Injuries and skin condition of Indo‐Pacific humpback dolphins (Sousa chinensis) in the northern South China Sea

Injuries and skin condition of Indo‐Pacific humpback dolphins (Sousa chinensis) in the northern South China Sea

The Competitions, Negotiations, and Collaborations of Regional Integration: A Perspective on Sustainable Management of Water Resources in Pingtung Plain, Taiwan

biSAMNet: A Novel Approach in Maritime Data Completion Using Deep Learning and NLP Techniques

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