Assessment of Environmental Suitability for the Spatial Distribution of Minority Villages in Mountainous Areas—Taking Fujian Province as an Example by Paolo Vincenzo Genovese, Xiang Xu, Hong Wu, Daxun Hao, Hantao Wang

“…The research findings indicated: (1) The ratio between the influence strengths of natural geographical, socioeconomic, and disaster constraint indicators on the environmental suitability of minority villages in mountainous areas is 5:10:7, with the highest influence being the regional gross domestic product (RGDP) in the socioeconomic indicator (0.509) and the lowest influence being flood sensitivity (0.011). (2) Areas with high suitability values are in the southeast coastal and central regions. …”
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Enhanced quantitative precipitation estimation through the opportunistic use of Ku TV-SAT links via a dual-channel procedure by L. Gelbart, L. Barthès, F. Mercier-Tigrine, A. Chazottes, C. Mallet

“…This technique provides rain measurements at a fine temporal resolution (a few tens of seconds) and with a spatial resolution of a few kilometres, which is a good compromise for human activities such as civil security (watershed monitoring, flash flood), agriculture or transport. The advantages of this technique include the low cost of the equipment used, as well as the cost of on-site maintenance. …”
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Harnessing AI for Enhanced Weather Prediction: A Focus on Rainfall by Hira Farman, Noman Islam, Noman Hasany

“…Natural distasters such as landslides, heat waves, storms, tsunamis, floods, earthquakes, and droughts endanger the lives of thousands of people worldwide. …”
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A novel framework for uncertainty quantification of rainfall–runoff models based on a Bayesian approach focused on transboundary river basins by Thi-Duyen Nguyen, Duc Hai Nguyen, Hyun-Han Kwon, Deg-Hyo Bae

“…The proposed methodology was applied to the transboundary Imjin River basin using the Sejong University rainfall–runoff (SURR) model, a case study that involves a database of five-year extreme flood events. New hydrological insights for the region: The application of this framework in the transboundary Imjin basin demonstrated its effectiveness in quantifying and addressing the uncertainty in RRM predictions. …”
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Effectiveness Trade-Off Between Green Spaces and Built-Up Land: Evaluating Trade-Off Efficiency and Its Drivers in an Expanding City by Xinyu Dong, Yanmei Ye, Tao Zhou, Dagmar Haase, Angela Lausch

“…Taking a rapidly expanding city as a case study, we comprehensively quantified urban–ecological conditions in four aspects: urban heat island, flood regulating service, habitat quality, and carbon sequestration. …”
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Predicting water level fluctuations in glacier-fed lakes by ensembling individual models into a quad-meta model by Shoukat Ali Shah, Songtao Ai, Hanxiao Yuan

“…Predicting water levels in glacier-fed lakes is vital for water resource management, flood forecasting, and ecological balance. This study examines the predictive capacity of multiple climate factors affecting Blue Moon Lake Valley, fed by the Baishui River glacier on Yulong Snow Mountain. …”
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Diversité de la flore ligneuse à la périphérie du Parc national de Waza (Cameroun) by Evaliste Remi Jiagho, Louis Zapfack, Louis Paul Roger Kabelong Banoho, Moise Tsayem-Demaze, Jeannine Corbonnois, Paul Tchawa

“…The Waza National Park and its peripheries are part of an ecological unit of the Waza Logone flood plain, located in the far North region of Cameroon. …”
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Combining machine learning algorithms for bridging gaps in GRACE and GRACE Follow-On missions using ERA5-Land reanalysis by Jaydeo K. Dharpure, Ian M. Howat, Saurabh Kaushik, Bryan G. Mark

“…The model's performance was further compared across five climatic zones, with two previously reconstructed products (Li and Humphrey methods) at 26 major river basins, during flood/drought events, and for sea-level rise. Our results showcase the model's superior performance and its capability to accurately predict data gaps at both grid and basin scales globally.…”
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UAV-Based Survey of the Earth Pyramids at the Kuklica Geosite (North Macedonia) by Ivica Milevski, Bojana Aleksova, Slavoljub Dragićević

“…Also, the site’s erosion rate and flash flood potential were calculated, showing high susceptibility to both. …”
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Assessing the performance of machine learning and analytical hierarchy process (AHP) models for rainwater harvesting potential zone identification in hilly region, Bangladesh by Md. Mahmudul Hasan, Md. Talha, Most. Mitu Akter, Md Tasim Ferdous, Pratik Mojumder, Sujit Kumar Roy, N.M. Refat Nasher

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Multi-step Prediction of Monthly Sediment Concentration Based on WPT-ARO-DBN/WPT-EPO-DBN Model by GAO Xuemei, CUI Dongwen

“…Accurate multi-step sediment concentration prediction is of significance for regional soil erosion control,flood control and disaster reduction.To improve the multi-step prediction accuracy of sediment concentration and the prediction performance of the deep belief network (DBN),this paper proposes a multi-step prediction model of monthly sediment concentration by combining the artificial rabbit optimization (ARO) algorithm,eagle habitat optimization (EPO) algorithm,and DBN based on wavelet packet transform (WPT).The model is validated using time series data of monthly sediment concentration from Longtan Station in Yunnan Province.Firstly,WPT is employed to decompose the time series data of the monthly sediment concentration of the case in three layers,and eight more regular subsequence components are obtained.Secondly,the principles of ARO and EPO algorithms are introduced,and hyperparameters such as the neuron number in the hidden layer of DBN are optimized by ARO and EPO.Meanwhile,WPT-ARO-DBN and WPT-EPO-DBN prediction models are built,and WPT-PSO (particle swarm optimization)-DBN and WPT-DBN are constructed for comparative analysis.Finally,four models are adopted to predict each subsequence component,and the predicted values are superimposed to obtain the multi-step prediction results of the final monthly sediment concentration.The results are as follows.① WPT-ARO-DBN and WPT-EPO-DBN models have satisfactory prediction effects on the monthly sediment concentration of the case from one step ahead to four steps ahead.This yields sound prediction results for five steps ahead.The prediction effect for six steps ahead and seven steps ahead is average,and the prediction accuracy for eight steps ahead is poor and cannot meet the prediction accuracy requirements.② The multi-step prediction performance of WPT-ARO-DBN and WPT-EPO-DBN models is superior to WPT-PSO-DBN models and far superior to WPT-DBN models,with higher prediction accuracy,better generalization ability,and larger prediction step size.③ ARO and EPO can effectively optimize DBN hyperparameters,improve DBN prediction performance,and have better optimization effects than PSO.Additionally,WPT-ARO-DBN and WPT-EPO-DBN models can give full play to the advantages of WPT,new swarm intelligence algorithms and the DBN network and improve the multi-step prediction accuracy of monthly sediment concentration,and the prediction accuracy decreases with the increasing prediction steps.…”
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Drainage analysis on the Pondoktisuk Kebonkai Sta 1+700-1+800 road section, Nagrak District, Sukabumi Regency by Putranto Muhammad Luthfisal, Saputra Muhamad Fahmy, Pratama Mochamad Ridwan, Permadi Dio Damas, Sari Nita Kurnita, Saputri Utamy Sukmayu

“…Hydrological analysis was conducted through maximum rainfall calculation, design rainfall calculation, consistency data testing, probability distribution, distribution fitting tests, rainfall intensity analysis, rainwater storage volume calculation, concentration time calculation, flood discharge analysis, and open drainage dimension calculation. …”
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Exploring Traditional Knowledge and Potential Uses of Local Freshwater Algae and Aquatic Plants in Thai Wetland Communities by Pasin Norkum Ai, Angkhana Inta, Sarana Rose Sommano, Kittiya Phinyo, Kritsana Duangjan, Tibet Tangpao

“…These areas were essential for biodiversity, flood prevention, and supporting local livelihoods, serving as food sources, biofertilizers, and natural water purifiers. …”
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Potential threats of glacial lake changes to the Sichuan-Tibet Railway by Menger Peng, Guoqing Zhang, Jinyuan Yu, Weicai Wang, Fenglin Xu, Sonam Rinzin

“…It will cross the southeastern Tibetan Plateau and be surrounded by glacial lakes, some of which may pose a threat of glacial lake outburst flood (GLOF) events. Both the specific location and the outburst susceptibility of these glacial lakes are largely unknown. …”
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An Investigation On The Enhanced Oil Recovery Performance Of Local Biopolymers by Chukwuebuka Dike, Nkemakolam Izuwa, Anthony Kerunwa, Onyebuchi Nwanwe, Nzenwa Enyioko, Boniface Obah

“…FTIR evaluation, aqueous stability, Viscosity, Adsorption and EOR core-flood study were conducted on the investigation. …”
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Restoring riparian habitats for benefits to biodiversity and human livelihoods: a systematic map protocol for riparian restoration approaches in the tropics by Sheena Davis, Matthew Grainger, Marion Pfeifer, Zarah Pattison, Philip Stephens, Roy Sanderson

“…They support elevated levels of biodiversity and provide an array of important regulatory and provisioning ecosystem services, of which, many are fundamentally important to human well-being, such as the maintenance of water quality and the mitigation of flood risk along waterways. Increasing anthropogenic pressures resulting from agricultural intensification, industry development and the expansion of infrastructure in tropical regions have led to the widespread degradation of riparian habitats resulting in biodiversity loss and decreased resilience to flooding and erosion. …”
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Seismotectonics and landslides of the NE border of the Calabrian Arc (Southern Italy) by Carlo Tansi, Salvatore Critelli, Michele Folino Gallo, Anna Gervasi, Gianpietro Imbrogno, Mario La Rocca, Michela Ponte, Vincenzo Tripodi, Francesco Muto

“…The areal distribution of landslide and susceptibility of the area is due to the interaction between seismotectonic peculiarity, lithological typologies and fault zone architectures. Landslides and flood phenomena of this sector involve many municipalities, major and minor infrastructures and economic and social activities. …”
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Comparison of DKRZ Database and LARS-WG Model in Three Parameters of Minimum Temperature, Maximum Temperature and Precipitation (Case study: Qazvin plain) by Fatemeh Borzoo, Hadi Ramezani Etedali, Abbas Kaviani

“…Improving agriculture, water resources management, flood management, and preventing environmental damage in future periods requires predicting climate data and adapting management and macro decisions to these changes. …”
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Spatiotemporal Characteristics of Extreme Precipitation and Its Future Trend Analysis in Huaihe River Basin by GUO Wei, YE Wen, ZHU Xuchao, WU Wei, WANG Lu, GAO Huamin, ZHANG Haiming, SHI Shaohui

“…This study can provide a deep understanding of extreme precipitation changes on a regional scale in the context of global warming, providing references for flood disaster prevention in the Huaihe River Basin in the future.…”
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Microenvironment engineering by targeted delivery of Ag nanoparticles for boosting electrocatalytic CO2 reduction reaction by Ting Xu, Hao Yang, Tianrui Lu, Rui Zhong, Jing-Jing Lv, Shaojun Zhu, Mingming Zhang, Zheng-Jun Wang, Yifei Yuan, Jun Li, Jichang Wang, Huile Jin, Shuang Pan, Xin Wang, Tao Cheng, Shun Wang

“…Our study shows that delivering catalysts within the GDL does not only gain the desired physical protection from GDL skeleton to achieve a superior local microenvironment for more efficient pH-universal eCO2RR, but also manifests the pore structures to effectively address gas accumulation and flood issues.…”
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