Accurate prediction of the central fishing grounds chub mackerel is substantial for assessing and managing marine fishery resources. Based on high-seas statistics multi-factor ocean remote-sensing environmental data in Northwest Pacific Ocean from 2014 to 2021, this article applied gravity center grounds, 2DCNN, 3DCNN models analyze spatial temporal variability catches grounds. Results:1) primary season was April-November which were mainly concentrated 39°∼43°N, 149°∼154°E. 2) Since 2019,...

Understanding and forecasting changes in marine habitats due to global climate warming is crucial for sustainable fisheries. Using future environmental data provided by Global Climate Models (GCMs) occurrence records of Chub mackerel the North Pacific Ocean (2014-2023), we built eight individual models four ensemble simulate current habitat distribution forecast under three scenarios (SSP1-2.6, SSP2-4.5, SSP5-8.5) 2050s 2100s. Ensemble outperformed ones, with weighted average algorithm model...

To evaluate and compare the effectiveness of prediction models for Argentine squid Illex argentinus trawling grounds in Southwest Atlantic high seas based on vessel position fishing log data, this study used AIS datasets from seasons spanning 2019-2024 (December to June each year). Using a spatial resolution 0.1° × monthly temporal resolution, we constructed two datasets-one positions other logs. Fishing ground levels were defined according density locations, combined with oceanographic data...

Japanese sardine (Sardinops melanostictus) is one of the main species caught in high seas purse seine fishery Northwest Pacific Ocean and its resources gradually recovered recent years. This paper used historical yearly catch data from 1990 to 2021 biological (manily for body length) April-November 2020–2022 assess maximum sustainable yield (MSY) stock resource status using Catch-MSY LBB models, respectively. And then based on evaluation results MSY, we analyzed management strategies this by...

To better develop and protect the pelagic fishery in northwest Indian Ocean, China’s fishing enterprises have been producing fisheries said area for a long time. Based on log data of light falling gear Ocean from 2016 to 2020, this study analyzed impact different time scales catch rate ground center gravity grounds. We also explored relationship between per unit effort (CPUE) by using gravity, Random Forest model (RF), generalized additive (GAM). The results were shown as follows: (1) From...

To understand the spatial temporal distribution characteristics of Illex argentinus caught by trawl fishing vessels in Southwestern Atlantic Ocean and their relationship with key marine environmental factors, this study analyzed changes ground center at ten-day scale from December 2019 to May 2022, combining Chinese log data satellite remote sensing data. Utilizing Maxent model, intervals were used as scale, ten including sea surface temperature, height, salinity, chlorophyll concentration,...

Purpleback flying squid (Sthenoteuthis oualaniensis, PFS) is one of the critical economically cephalopod species in northwest Indian Ocean, and accurate model dataset selection are parameters for predicting managing PFS fishing grounds. In this study, fishery data years 2016–2021 was analyzed using gravity center grounds method, generalized additive (GAM), gradient boosted trees (GBT), 3D Convolutional Neural Network (3DCNN), Networks-Convolutional LSTM (3DCNN-ConvLSTM) to explore...

Climate change has posed a great challenge to global fisheries harvesting. Purpleback flying squid (Sthenoteuthis oualaniensis) is major economic cephalopod in the northwestern Indian Ocean waters, but how choose optimal spatiotemporal scales and models for constructing prediction model of its fishery remains be researched. Reasonable modeling essential predicting managing purpleback squid. Based on statistical data multi-variable marine environment northwest from 2015 2021, this paper used...

To analyze the impact of marine environment on relative abundance Illex argentinus (high and low categories) in southwest Atlantic, this study collected logbook data from Chinese pelagic trawlers December 2014 to June 2024, including vessel position oceanographic variables such as sea surface temperature, 50 m 100 water salinity, height, chlorophyll-a concentration, mixed layer depth. Vessel positions were used enhance quality, allowing an analysis annual trends resource center squid at a...

Understanding and forecasting changes in marine habitats due to global climate warming is crucial for sustainable fisheries. Using future environmental data provided by Global Climate Models (GCMs) occurrence records of Chub mackerel the North Pacific Ocean (2014-2023), we built eight individual models four ensemble simulate current habitat distribution forecast under three scenarios (SSP1-2.6, SSP2-4.5, SSP5-8.5) 2050s 2100s. Ensemble outperformed ones, with weighted average algorithm model...

The chub mackerel ( Scomber japonicus ) is one of the most influential small pelagic fish in Northwest Pacific Ocean, and accurate modeling approaches model selection are critical points predicting fishing grounds. This study investigated changes catches days on no moonlight bright (2014-2022) compared differences predictive performance between LightGBM RF models three datasets under two [those based light vessels operational characteristics (Approach one) those not Two)]. results were as...

Interchanges can switch between different highways, but there are many limitations on linear design that led to accidents. In order further improve driving safety and reduce the occurrence of traffic This paper takes 11 interchanges in Shanxi Province as research object. According principle combinations horizontal vertical alignment, analysis area is divided into eight basic sections. A trunk line, ramps, distribution lanes was performed modify model crashes prediction (SPF) establish...

This study constructed driving simulation scenarios in order to determine the influence of a spiral tunnel's radius on vehicle's operation speed and trajectory deviation at design stage, potentially reduce risk tunnels. Based 3D cockpit UC-win/Road software, got corresponding offset data under different working conditions, tunnel vehicle operating characteristics conditions were obtained through SPSS multiple nonlinear regression analysis. The research results show that as increases,...