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The green and sustainable development of fisheries is a crucial way to safeguard the environment, guarantee food security, and promote social and economic development. In the rapidly evolving era of digitalization, how to fully leverage the advantages of digitalization to motivate fishery sustainable development has become a worthy research question. Based on combing the development stage and characteristics of Chinese fishery digitalization, this paper selects six fishery digitalization factors from the perspective of configuration based on the technology-organization-environment (TOE) theoretical framework, and uses the panel fuzzy-set qualitative comparative analysis (fsQCA) method to explore the configurational path of how digitalization empowered the sustainable development of fisheries in China from 2011 to 2021. This paper found that: (1) Fishery digitalization can significantly enhance the level of fishery sustainable development, but individual elements of fishery digitalization are not necessary conditions for realizing a high degree of fishery sustainable development. However, strengthening digitalization talent support plays a more universal role. (2) Four types of fishery digital ecology can generate a high level of fishery sustainable development, demonstrating the multiple paths and complex mechanisms of fishery digitalization empowering fishery sustainable development. (3) In underdeveloped areas such as Jilin, Hunan, and Qinghai, the empowering effect of digitalization on the sustainable development of fisheries is relatively limited. The research findings open the "black box" of how digitalization empowers the sustainable development of fisheries, providing theoretical reference for various types of provinces to utilize digitalization to drive the sustainable development of fisheries. [Display omitted] • Theoretical framework is based on the configuration perspective and TOE framework. • We use the panel fsQCA method to explore fishery digitalization empowerment pathways. • Four types of fishery digital ecology can generate high fishery sustainability. • Digital talent support plays a more general role in fishery sustainable development. • The empowering effect of digitalization is relatively limited in underdeveloped areas. [ABSTRACT FROM AUTHOR]

[Display omitted] • Hongqiling Sn-W polymetallic deposit is a product of granitic magmatism in Late Jurassic. • The elemental composition of primary cassiterite is controlled by the compositions of ore-forming fluid and the rate of crystallization. Hongqiling deposit is one of the most typical hydrothermal vein type Sn-W polymetallic deposits in the Dongpo ore field, southern Hunan. It is an ideal object to study the Sn-W mineralization in the Nanling metallogenic belt and even in the whole South China Block, and to reveal the regional metallogenetic regularity. Based on the detailed investigation of the deposit geology, this paper discusses the mineralization age and processes of the Hongqiling hydrothermal vein type Sn-W polymetallic deposit by LA-MC-ICP-MS in-situ U-Pb dating and trace element geochemistry of cassiterite from the quartz vein type Sn-W ore body. Cathodoluminescence (CL) imaging shows that cassiterite in Hongqiling deposit can be divided into two generations. primary cassiterite (Cst-I) and altered cassiterite (Cst-II). The LA-MC-ICP-MS in-situ U-Pb age of the two groups of Cst-I samples are 158.9 ± 0.7 Ma and 158.4 ± 0.8 Ma, respectively, which are well consistent with the mineralization ages of most Sn-W deposits in the Nanling metallogenic belt, and are also consistent with the ages of middle to late Jurassic magmatic activity represented by the Qianlishan intrusion. This indicates that the Hongqiling deposit, like many Sn-W deposits in the Nanling metallogenic belt, is genetically related to the regional Middle to Late Jurassic granitic magmatic activities. LA-ICP-MS trace element analysis shows that trace elements such as Na and Cs are mainly distributed in fluid inclusions in cassiterite, while the major elements such as Mg, Al, and Si are mainly distributed in the mineral inclusions, and other elements such as W, U, Zr, Hf and Ti are mainly distributed in the cassiterite by isomorphic substitution. The high Fe and W contents in both primary and altered cassiterite indicate that the ore-forming fluid of Hongqiling deposit is mainly derived from granitic magma. The fluctuating variation of Fe, V, Sc, Ti, Zr, Hf, Nb and Ta in the primary cassiterite with the crystalline bands indicates that there are two large-scale pulses of magmatic hydrothermal fluid during the mineralization process, while the altered cassiterite is relatively depleted of Ti, Sc, Zr and U elements, and enriched in Pb which may represent the compositional characteristics of the late-stage fluid. In summary, the Hongqiling hydrothermal vein type Sn-W polymetallic deposit was formed by the pulsating exsolution of magmatic hydrothermal fluid of late Jurassic granitic magmatism. The trace elemental compositions of primary cassiterite are generally controlled by the compositions of ore-forming fluid and the rate of crystallization. [ABSTRACT FROM AUTHOR]

Traditional machine learning algorithms face challenges in assessing flood susceptibility reliably due to their low robustness and the inherent 'black-box' nature. This paper utilizes five hyperparameter optimization algoirthms (HPO), namely grid search (GS), random search (RS), gauss process (GP), tree-structured parzen estimator (TPE) and simulated annealing (SA), to tune the traditional random forest's (RF) hyperparameters to improve the robustness of flood hazard mapping (FHM) models at Ningxiang City Hunan Province, China. Additionally, SHapley Additive exPlanations (SHAP) method were used to interpret the decision-mechanisms of these flood hazard models. This study considers 19 pluvial flood influencing factors and 2064 flood locations to create a geospatial database. The performance of each hybrid model was evaluated by area under the receiver operating characteristic (ROC) curve (AUC) and several validation methods. The results demonstrate that the developed hybrid models demonstrated good performance, with RF-TPE achieving the highest AUC (0.9660), followed by RF-GP (0.9648), RF-SA (0.9624), RF-GS (0.9612), RF-RS (0.9600), and RF (0.9539). The RF-TPE model exhibits superior robustness than other models, and the FHM constructed using it is more reliable. HPO is an effective approach to improve the predictive accuracy and robustness of FHM models. When considering limited computational resources, Bayesian optimization (TPE) should be prioritized for optimizing FHM models, followed by metaheuristic algorithms and model-free algorithms. Moreover, the study revealed that distance from river, peak rainfall intensity, continuous rainfall, antecedent effective rainfall, and terrain relief, are the most significant for pluvial FHM modeling in this region. [ABSTRACT FROM AUTHOR]

As sustainable development has become a trending consensus, urban ecological resilience is now a significant metric for assessing the extent of urban ecological advancement. In view of the critical roles for promoting coordinated regional development, this research evaluates the ecological resilience of 28 cities in city clusters in the middle reaches of the Yangtze River from 2009 to 2020 using the entropy weight method and analyzes the spatio-temporal evolution pattern of ecological resilience. This study uses the Moran index and the spatial Durbin model to explore the spatial correlation of ecological resilience as well as the influencing factors and presents the following conclusions. First, ecological resilience appears to be on an upward trend in time, spatially characterized by a transition from higher resilience in the east region to lower resilience in the west region. Second, spatial autocorrelation in ecological resilience exhibits a positive relationship. Most cities in Jiangxi Province are high-high agglomerative cities, while most cities in Hunan and Hubei Provinces are low-low homogeneous cities and high-low polarized cities, respectively. Third, given that population density, economic development, and financial development negatively affect ecological resilience, government green investment has a positive effect and positive spatial spillovers. Based on the findings, this paper offers targeted policy recommendations on how cities can improve urban ecological resilience. [Display omitted] • Enriching existing research by focusing on city clusters in the middle reaches of the Yangtze River. • Constructing an ecological resilience evaluation system based on the theory of resistance-adaptation-recovery. • Detailed analysis of the spatial and temporal evolution patterns of ecological resilience in city clusters. • Spatial factors are introduced to analyze the spatial correlation and influencing factors of ecological resilience. [ABSTRACT FROM AUTHOR]