样式: 排序: IF: - GO 导出 标记为已读
-
Inhomogeneous log-Gaussian Cox processes with piecewise constant covariates: a case study in modeling of COVID-19 transmission risk in East Java Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-04-22 Alwan Fadlurohman, Achmad Choiruddin, Jorge Mateu
-
Modelling multidecadal variability in flood frequency using the Two-Component Extreme Value distribution Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-04-20 Vincenzo Totaro, Andrea Gioia, George Kuczera, Vito Iacobellis
-
Risks of heat waves in South Korea using structural equation modeling and entropy weighting Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-04-17 Dongwook Kim, Ji Eun Kim, Juil Song, Sang Won Lee, Jae-Hyun Ahn, Tae-Woong Kim
-
Assessing the generalization of forecasting ability of machine learning and probabilistic models for complex climate characteristics Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-04-16 Aamina Batool, Zulfiqar Ali, Muhammad Mohsin, Atef Masmoudi, Veysi Kartal, Samina Satti
-
A novel semi data dimension reduction type weighting scheme of the multi-model ensemble for accurate assessment of twenty-first century drought Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-04-12 Alina Mukhtar, Zulfiqar Ali, Amna Nazeer, Sami Dhahbi, Veysi Kartal, Wejdan Deebani
-
A new approach for hydrograph data interpolation and outlier removal for vector autoregressive modelling: a case study from the Odra/Oder River Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-04-12 Michał Halicki, Tomasz Niedzielski
-
Spatial pattern of bias in areal rainfall estimations and its impact on hydrological modeling: a comparative analysis of estimating areal rainfall based on radar and weather station networks in South Korea Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-04-12 Byung-Jin So, Hyung-Suk Kim, Hyun-Han Kwon
-
Some combinatorics of data leakage induced by clusters Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-04-11 Fabian Guignard, David Ginsbourger, Lilia Levy Häner, Juan Manuel Herrera
-
Urbanization vs. climate drivers: investigating changes in fluvial floods in Poland Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-04-10 Nelson Venegas-Cordero, Luis Mediero, Mikołaj Piniewski
-
Refinement analysis of landslide risk assessment for wide area based on UAV-acquired high spatial resolution images Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-04-10 Zhengjun Mao, Haiyong Yu, Xu Ma, Wei Liang, Guangsheng Gao, Yanshan Tian, Shuojie Shi
-
Time–frequency characterization of seasonal temperature in India and teleconnection of temperature with atmospheric oscillation indices Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-04-06 Hareesh Kumar, Nitin Joshi, Himanshu Sharma, Divya Gupta, Shakti Suryavanshi
The present study focuses on characterizing the time–frequency aspects of seasonal temperatures in India by integrating the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) algorithm with the Hilbert–Huang transform (HHT) decomposition method. The investigation also explores the connections between maximum temperature (Tmax) and minimum temperature (Tmin) with global climate
-
Semi-supervised deep learning based on label propagation algorithm for debris flow susceptibility assessment in few-label scenarios Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-04-06 Qingyu Wang, Changming Wang, Haozhe Tang, Di Wu, Fei Wang
-
Improving the probabilistic drought prediction with soil moisture information under the ensemble streamflow prediction framework Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-04-04 Gi Joo Kim, Dae Ho Kim, Young-Oh Kim
-
Forecasting the amount of domestic waste clearance in Shenzhen with an optimized grey model Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-04-03 Bo Zeng, Chao Xia, Yingjie Yang
As a leading economic center in China and an international metropolis, Shenzhen has great significance in promoting sustainable urban development. To predict its amount of domestic waste clearance, a new multivariable grey prediction model with combinatorial optimization of parameters is established in this paper. Firstly, the new model expands the value range of the order r of a grey accumulation
-
Comparison of meteorological, hydrological and agricultural droughts for developing a composite drought index over semi-arid Banas River Basin of India Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-04-03 Divya Saini, Omvir Singh
This study attempts to develop a composite index by integrating meteorological, hydrological and agricultural droughts over semi-arid Banas River basin, Rajasthan, India. To affect this, the standardized precipitation index (SPI), streamflow drought index (SDI), and vegetation condition index (VCI) have been used at 1-, 3-, 5-, 9- and 12-month time scales using station and remote sensing-based data
-
Measuring the synergy of air pollution and CO2 emission in Chinese urban agglomerations: an evaluation from the aggregate impact and correlation perspectives Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-04-02
Abstract Synergizing air pollution control and carbon emission reduction has been widely proposed and highlighted. Evaluating the synergy of air pollution and carbon emissions has been the primary concern and essential support for synergistic control. Current research and works have attempted to assess synergy from multiple perspectives, but the informativeness and comprehensiveness of the synergy
-
Mathematical models for fluid flow in porous media with machine learning techniques for landfill waste leachate Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-04-02 Muhammad Sulaiman, Muhammad Salman, Ghaylen Laouini, Fahad Sameer Alshammari
In this article, we take a look at an Ordinary Differential Equation model that describes the bacteria’s role in anaerobic biodegradation dynamics of domestic garbage in a landfill. A nonlinear Ordinary Differential Equation system is used to describe biological activities. In the current study, the Levenberg–Marquardt Backpropagation Neural Network is used to locate alternate solutions for the model
-
Comparative analysis of joint distribution models for tropical cyclone atmospheric parameters in probabilistic coastal hazard analysis Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-04-02 Ziyue Liu, Meredith L. Carr, Norberto C. Nadal-Caraballo, Luke A. Aucoin, Madison C. Yawn, Michelle T. Bensi
In probabilistic coastal hazard assessments based on the Joint Probability Method, historical storm data is used to build distribution models of tropical cyclone atmospheric parameters (i.e., central pressure deficit, forward velocity, radius of maximum wind, and heading direction). Recent models have used a range of assumptions regarding the dependence structure between these random variables. This
-
Sustainability in shaky times: analysing the resilience of green bonds amid economic policy uncertainty Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-04-02 Xichen Liu, Sajid Ali, Raima Nazar, Muhammad Saeed Meo
Amid economic policy uncertainty, recognizing green bonds as stabilizing instruments underscores the imperative to address climate change. Existing research assesses the asymmetric effect of economic policy uncertainty on green bonds in the top 10 green bond-issuing countries (China, USA, Spain, France, Japan, Canada, Germany, the Netherlands, the UK, and Sweden). While past investigations have predominantly
-
Enhancing flood prediction in Southern West Bengal, India using ensemble machine learning models optimized with symbiotic organisms search algorithm Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-22
Abstract In regions with limited flow and catchment data needed for the configuration and calibration of hydraulic and hydrological models, employing spatial flood modeling and mapping enables authorities to predict the spatial extent and severity of floods. This study leveraged flood inventory data, coupled with various conditional variables, to formulate a novel Ensemble model. This ensemble model
-
Analyzing forest fires in a brazilian savannah conservation unit using remote sensing and statistical methods: spatial patterns and interaction Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-22 Ronie Silva Juvanhol, Helbecy Cristino Paraná de Sousa, José Wellington Batista Lopes
-
A new procedure for optimizing neural network using stochastic algorithms in predicting and assessing landslide risk in East Azerbaijan Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-21 Atefeh Ahmadi Dehrashid, Hailong Dong, Marieh Fatahizadeh, Hamed Gholizadeh Touchaei, Mesut Gör, Hossein Moayedi, Marjan Salari, Quynh T. Thi
-
Positive semidefinite kernels that are axially symmetric on the sphere and stationary in time: spectral and semi-spectral theory, and constructive approaches Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-19 Xavier Emery, Janin Jäger, Emilio Porcu
-
Projected changes in the heatwave’s characteristics and associated population exposure over India under 1.5–3 °C warming levels Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-18 Hardeep Kumar Maurya, Nitin Joshi, Shakti Suryavanshi
-
Data analysis and preprocessing techniques for air quality prediction: a survey Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-18 Chengqing Yu, Jing Tan, Yihan Cheng, Xiwei Mi
-
GHPSO-ATLSTM: a novel attention-based genetic LSTM to predict water quality indicators Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-17 Rosysmita Bikram Singh, Kanhu Charan Patra, Avinash Samantra
-
Improved monthly streamflow prediction using integrated multivariate adaptive regression spline with K-means clustering: implementation of reanalyzed remote sensing data Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-16 Ozgur Kisi, Salim Heddam, Kulwinder Singh Parmar, Zaheer Mundher Yaseen, Christoph Kulls
-
Heavy metal pollution status, children health risk assessment and source apportionment in farmland soils in a typical polluted area, Northwest China Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-14
Abstract Sewage irrigation solves rural water problems, pollutants in wastewater are retained in agricultural soils and enter the human body through crops, jeopardizing human health. Here, contamination features, source apportionments, and associated health risks from agricultural soils were systematically investigated in the Dongdagou Watershed. According to descriptive statistics and heavy metal
-
Prediction of agricultural nonpoint source pollution in highly urbanised areas based on shared socioeconomic pathways: a case study of Taihu Lake Basin Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-12 Dongying Sun, Xiaoxu Wang, Gang Liu
-
Spatial-temporal hurdle model vs. spatial zero-inflated GARCH model: analysis of weekly dengue fever cases Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-09 Cathy W. S. Chen, Chun-Shu Chen
-
Multi-scale extraction and spatial analysis of growth pattern changes in urban water bodies using sentinel-2 MSI imagery: a study in the central part of India Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-09 Rubeena Vohra, Ashish Kumar, Gopinadh Rongali
-
A novel self-adjusting weight approximation procedure to minimize non-identical seasonal effects in multimodel ensemble for accurate twenty-first century drought assessment Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-07 Rubina Naz, Zulfiqar Ali
-
Evaluation of hydrological variabilities of water quality models considering event-based scenarios: A case study Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-07
Abstract Given the significant momentum of developing water quality models to simulate water quality variables and support decision-making, the literature recognizes the importance of addressing uncertainties embedded in the water quality models, such as inherent, parametric, and hydrological uncertainties. However, previous studies have not extensively examined the magnitude of hydrological events
-
Flood risk mapping under changing climate in Lower Tapi river basin, India Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-04 Vishal Chandole, Geeta S. Joshi, Vijay Kumar Srivastava
-
Risk assessment for extreme air pollution events using vine copula Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-04
Abstract This study proposes an alternative risk assessment approach for evaluating extreme air pollution events through vine copula modeling. Three characteristics of unhealthy air pollution events (i.e., severity, intensity, and duration) in Klang, Malaysia, are examined. The vine copula is fitted using sequential maximum likelihood estimation and joint maximum likelihood estimation, with a subsequent
-
Comparison of probability distributions used for harnessing the wind energy potential: a case study from India Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-04 Gaurav Kumar Gugliani, Christophe Ley, Najmeh Nakhaei Rad, Andriette Bekker
-
A new diagram for performance evaluation of complex models Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-02
Abstract In the latest years the capacity and complexity of climate and environmental modeling has increased considerably. Therefore, tools and criteria for model performance evaluation are needed to ensure that different users can benefit from model selection. Among graphical tools, Taylor’s diagram is widely used to provide evaluation and comparison of model performances, with particular emphasis
-
Debris flow susceptibility assessment based on boosting ensemble learning techniques: a case study in the Tumen River basin, China Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-02 Zelu Chen, Hechun Quan, Ri Jin, Zhehao Lin, Guangzhu Jin
-
Identification of physical processes and unknown parameters of 3D groundwater contaminant problems via theory-guided U-net Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-01 Tianhao He, Haibin Chang, Dongxiao Zhang
-
Tsunami insurance portfolio optimization for coastal residential buildings under non-stationary sea level rise effects based on sample average approximation Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-01 Abdul Kadir Alhamid, Mitsuyoshi Akiyama, Shunichi Koshimura, Dan M. Frangopol, Higuma So
-
Multidimensional risk meteorological-soil joint drought (MR-MSJD) in China’s crop planting Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-02-25
Abstract During the present era of climate change, recognizing non-stationarity is crucial when assessing the inevitability of meteorological droughts. Agricultural drought is the focus of agricultural production. With improved drought detection methods and diverse indices, comprehensively characterizing agricultural drought requires consideration of multiple factors. Hence, this study integrates non-stationary
-
Robustness of design flood estimates under nonstationary conditions: parameter sensitivity perspective Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-02-24 Bin Xiong, Shuchen Zheng, Qiumei Ma, Chun Fu, Tianfu Wen, Zhongzheng He, Lingqi Li, Chong-Yu Xu
-
Quantifying uncertainty in future sea level projections downscaled from CMIP5 global climate models Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-02-21 S. Sithara, S. K. Pramada, Santosh G. Thampi
-
Stochastic modeling of geological domains using a truncated Gaussian collocated co-simulation approach Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-02-18 Collins G. Adoko, Nasser Madani
-
Performance of multisite streamflow stochastic generation approaches for a multi-reservoir system Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-02-16 Yufei Ma, Ping-an Zhong, Guoqing Wang, Yao Xiao
-
Contaminant source identification in an aquifer using a Bayesian framework with arbitrary polynomial chaos expansion Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-02-16 Guodong Zhang, Teng Xu, Chunhui Lu, Yifan Xie, Jie Yang
-
Analyzing the dynamical relationships between meteorological and hydrological drought of Wadi Mina basin, Algeria using a novel multiscale framework Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-02-14 Mohammed Achite, Oguz Simsek, Adarsh Sankaran, Okan Mert Katipoğlu, Tommaso Caloiero
-
Developing an earthquake damaged-based multi-severity casualty method by using Monte Carlo simulation and fuzzy logic; case study: Mosha fault seismic scenario, Tehran, Iran Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-02-12 Erfan Firuzi, Anooshiravan Ansari, Kambod Amini Hosseini, Nazila Kheirkhah
-
Assessment of future changes in drought characteristics through stochastic downscaling and CMIP6 over South Korea Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-02-12 Tuong Quang Vo, Manh Van Doi, Jongho Kim
-
Exploring substitution random functions composed of stationary multi-Gaussian processes Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-02-09 Julien Straubhaar, Philippe Renard
-
The relationship between ENSO, IOD and SAM with extreme rainfall over South America Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-02-03 Maria Florencia Iacovone, Vanesa C. Pántano, Olga C. Penalba
-
Local-scale integrated seismic risk assessment using satellite data and field information in Northern Pakistan Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-02-01 Tanveer Ahmed, Khaista Rehman, Muhammad Shafique, Nisar Ali Shah, Muhammad Waqar Azeem
-
High performance machine learning approach for reference evapotranspiration estimation Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-02-01 Mohammed S. Aly, Saad M. Darwish, Ahmed A. Aly
-
Estimation of model parameters and simulation of earthquake ground motion by stochastic finite-fault modelling based on a modified slip-related corner frequency Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-02-01 Pengfei Dang, Jie Cui, Qifang Liu
-
A parsimonious, computationally efficient machine learning method for spatial regression Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-01-28 Milan Žukovič, Dionissios T. Hristopulos
-
Application of the Global Uncertainty and Sensitivity Analysis to assess the importance of deadwood characteristics for forest biodiversity Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-01-26 Adriano Mazziotta, Annika Kangas, Irene De Pellegrin Llorente, Olli-Pekka Tikkanen, Kyle Eyvindson
-
Connectedness of green financing, green energy and technological progress towards energy transition and climate goal: exposition of the best practise to achieve sustainable environmental development Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-01-25 Jian Li, Edmund Ntom Udemba, Burçin Çakır Gündoğdu
-
Gaussian mutation-alpine skiing optimization algorithm-recurrent attention unit-gated recurrent unit-extreme learning machine model: an advanced predictive model for predicting evaporation Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-01-25 Mohammad Ehteram, Fatemeh Barzegari Banadkooki, Mahdie Afshari Nia
-
SWAT based analysis of multiple GCM models for predicting the long-term effects on various hydrometeorological components of a dam-to-dam river basin Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-01-24 Ankur Sharma, Ruchi Khare, Mahendra Kumar Choudhary
-
Elevational trends of land surface temperature in the Alborz Mountains within the context of global warming Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-01-24
Abstract Much recent scientific focus has been on the impact of climate change on human and natural environments. However, a particular research gap that we address is evaluating the effect of global warming on land surface temperatures across different spatial contexts, such as elevation, in mountain regions. Our aim is to establish the effect of global warming on daytime land surface temperatures