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(2022, October) Stochastic Environmental Research and Risk Assessment Vol. 36 (10) Springer Science and Business Media LLC

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Reference TypeJournal (issue)
JournalStochastic Environmental Research and Risk AssessmentISSN1436-3240
Year2022 (October)Volume36
Issue<   10   >
PublisherSpringer Science and Business Media LLC
Mindat Ref. ID15401461Long-form Identifiermindat:1:5:15401461:2
GUID0
Full Reference(2022, October) Stochastic Environmental Research and Risk Assessment Vol. 36 (10) Springer Science and Business Media LLC
Plain Text(2022, October) Stochastic Environmental Research and Risk Assessment Vol. 36 (10) Springer Science and Business Media LLC
In(2022) Stochastic Environmental Research and Risk Assessment Vol. 36. Springer Science and Business Media LLC

Contains

Verghese, Sheelu, Nema, Arvind K. (2022) Optimal design of air quality monitoring networks: A systematic review. Stochastic Environmental Research and Risk Assessment, 36 (10) 2963-2978 doi:10.1007/s00477-022-02187-1
Choi, Gayoung, Jung, Yong (2022) Applicability of physically generated rainfall data using a regional weather model. Stochastic Environmental Research and Risk Assessment, 36 (10) 2979-2994 doi:10.1007/s00477-022-02173-7
Adin, A., Congdon, P., Santafé, G., Ugarte, M. D. (2022) Identifying extreme COVID-19 mortality risks in English small areas: a disease cluster approach. Stochastic Environmental Research and Risk Assessment, 36 (10) 2995-3010 doi:10.1007/s00477-022-02175-5
Ahmed, A. A. Masrur, Ahmed, Mohammad Hafez, Saha, Sanjoy Kanti, Ahmed, Oli, Sutradhar, Ambica (2022) Optimization algorithms as training approach with hybrid deep learning methods to develop an ultraviolet index forecasting model. Stochastic Environmental Research and Risk Assessment, 36 (10) 3011-3039 doi:10.1007/s00477-022-02177-3
Yaseen, Andaleeb, Lu, Jianzhong, Chen, Xiaoling (2022) Flood susceptibility mapping in an arid region of Pakistan through ensemble machine learning model. Stochastic Environmental Research and Risk Assessment, 36 (10) 3041-3061 doi:10.1007/s00477-022-02179-1
Peli, Riccardo, Menafoglio, Alessandra, Cervino, Marianna, Dovera, Laura, Secchi, Piercesare (2022) Physics-based Residual Kriging for dynamically evolving functional random fields. Stochastic Environmental Research and Risk Assessment, 36 (10) 3063-3080 doi:10.1007/s00477-022-02180-8
Nourani, Vahid, Khodkar, Kasra, Paknezhad, Nardin Jabbarian, Laux, Patrick (2022) Deep learning-based uncertainty quantification of groundwater level predictions. Stochastic Environmental Research and Risk Assessment, 36 (10) 3081-3107 doi:10.1007/s00477-022-02181-7
Ma, Junwei, Wang, Yankun, Niu, Xiaoxu, Jiang, Sheng, Liu, Zhiyang (2022) A comparative study of mutual information-based input variable selection strategies for the displacement prediction of seepage-driven landslides using optimized support vector regression. Stochastic Environmental Research and Risk Assessment, 36 (10) 3109-3129 doi:10.1007/s00477-022-02183-5
Chang, Jingjing, Gong, Lu, Zeng, Fanjiang, Xue, Jie, Mao, Donglei, Cao, Yongxiang, Mu, Guijin, Wang, Shaoping (2022) Using hydro-climate elasticity estimator and geographical detector method to quantify the individual and interactive impacts on NDVI in oasis-desert ecotone. Stochastic Environmental Research and Risk Assessment, 36 (10) 3131-3148 doi:10.1007/s00477-022-02184-4
Feizi, Hajar, Apaydin, Halit, Sattari, Mohammad Taghi, Colak, Muslume Sevba, Sibtain, Muhammad (2022) Improving reservoir inflow prediction via rolling window and deep learning-based multi-model approach: case study from Ermenek Dam, Turkey. Stochastic Environmental Research and Risk Assessment, 36 (10) 3149-3169 doi:10.1007/s00477-022-02185-3
Marcelli, A., Fattorini, L., Franceschi, S. (2022) Harmonization of design-based mapping for spatial populations. Stochastic Environmental Research and Risk Assessment, 36 (10) 3171-3182 doi:10.1007/s00477-022-02186-2
Deo, Ravinesh C., Grant, Richard H., Webb, Ann, Ghimire, Sujan, Igoe, Damien P., Downs, Nathan J., Al-Musaylh, Mohanad S., Parisi, Alfio V., Soar, Jeffrey (2022) Forecasting solar photosynthetic photon flux density under cloud cover effects: novel predictive model using convolutional neural network integrated with long short-term memory network. Stochastic Environmental Research and Risk Assessment, 36 (10) 3183-3220 doi:10.1007/s00477-022-02188-0
Mohamed, Hagar Mahmoud, Khalil, Magdy Tawfik, El-Kafrawy, Sameh Bakr, El-Zeiny, Ahmed Mohamed, Khalifa, Nehad, Emam, Wiame Waheed Mahmoud (2022) Can statistical remote sensing aid in predicting the potential productivity of inland lakes? Case study: Lake Qaroun, Egypt. Stochastic Environmental Research and Risk Assessment, 36 (10) 3221-3238 doi:10.1007/s00477-022-02189-z
Thapliyal, Jyoti, Bhattacharyya, Malini, Prakash, Soban, Patni, Babita, Gautam, Sneha, Gautam, Alok Sagar (2022) Addressing the relevance of COVID–19 pandemic in nature and human socio-economic fate. Stochastic Environmental Research and Risk Assessment, 36 (10) 3239-3253 doi:10.1007/s00477-022-02191-5
Sharma, Anurag, Jha, Vedant, Roy, Mrinal, Kumar, Bimlesh (2022) One-dimensional velocity distribution in seepage channel using Tsallis and Shannon entropy. Stochastic Environmental Research and Risk Assessment, 36 (10) 3255-3264 doi:10.1007/s00477-022-02192-4
Ahmadi, Farshad, Mirabbasi, Rasoul, Gajbhiye, Sarita, Kumar, Rohitashw (2022) Investigating the variation pattern and erosivity power of precipitation in the Sindh river basin of India during last 120 years. Stochastic Environmental Research and Risk Assessment, 36 (10) 3265-3279 doi:10.1007/s00477-022-02193-3
Guo, Shanshan, Guo, Ping (2022) A two-stage joint chance-constrained programming considering compound uncertainty of interval, random and fuzzy: a case study for agricultural water planning in an arid area. Stochastic Environmental Research and Risk Assessment, 36 (10) 3281-3293 doi:10.1007/s00477-022-02194-2
Saha, Sunil, Gayen, Amiya, Bayen, Bijoy (2022) Deep learning algorithms to develop Flood susceptibility map in Data-Scarce and Ungauged River Basin in India. Stochastic Environmental Research and Risk Assessment, 36 (10) 3295-3310 doi:10.1007/s00477-022-02195-1
Elbeltagi, Ahmed, Kushwaha, Nand Lal, Rajput, Jitendra, Vishwakarma, Dinesh Kumar, Kulimushi, Luc Cimusa, Kumar, Manish, Zhang, Jingwen, Pande, Chaitanya B., Choudhari, Pandurang, Meshram, Sarita Gajbhiye, Pandey, Kusum, Sihag, Parveen, Kumar, Navsal, Abd-Elaty, Ismail (2022) Modelling daily reference evapotranspiration based on stacking hybridization of ANN with meta-heuristic algorithms under diverse agro-climatic conditions. Stochastic Environmental Research and Risk Assessment, 36 (10) 3311-3334 doi:10.1007/s00477-022-02196-0
Wei, Yanqi, Jin, Juliang, Cui, Yi, Ishidaira, Hiroshi, Li, Haichao, Jiang, Shangming, Zhou, Rongxing, Zhou, Liangguang (2022) Agricultural drought risk assessment based on crop simulation, risk curves, and risk maps in Huaibei Plain of Anhui Province, China. Stochastic Environmental Research and Risk Assessment, 36 (10) 3335-3353 doi:10.1007/s00477-022-02197-z
Jewson, Stephen (2022) Application of uncertain hurricane climate change projections to catastrophe risk models. Stochastic Environmental Research and Risk Assessment, 36 (10) 3355-3375 doi:10.1007/s00477-022-02198-y
Poojitha, S. N., Jothiprakash, V., Sivakumar, Bellie (2022) Chaos-directed genetic algorithms for water distribution network design: an enhanced search method. Stochastic Environmental Research and Risk Assessment, 36 (10) 3377-3393 doi:10.1007/s00477-022-02200-7
Salehie, Obaidullah, Ismail, Tarmizi bin, Hamed, Mohammed Magdy, Shahid, Shamsuddin, Idlan Muhammad, Mohd Khairul (2022) Projection of Hot and Cold Extremes in the Amu River Basin of Central Asia using GCMs CMIP6. Stochastic Environmental Research and Risk Assessment, 36 (10) 3395-3416 doi:10.1007/s00477-022-02201-6
Wang, Jujie, Xu, Wenjie, Dong, Jian, Zhang, Yue (2022) Two-stage deep learning hybrid framework based on multi-factor multi-scale and intelligent optimization for air pollutant prediction and early warning. Stochastic Environmental Research and Risk Assessment, 36 (10) 3417-3437 doi:10.1007/s00477-022-02202-5
Chai, Naijie, Zhou, Wenliang, Wan, Bingtong (2022) Research on performance evaluation and obstacle diagnosis for urban water ecological civilization construction based on GFAHP-cloud-FSE model: the case of Shizuishan, China. Stochastic Environmental Research and Risk Assessment, 36 (10) 3439-3465 doi:10.1007/s00477-022-02203-4
Anshuka, Anshuka, Chandra, Rohitash, Buzacott, Alexander J. V., Sanderson, David, van Ogtrop, Floris F. (2022) Spatio temporal hydrological extreme forecasting framework using LSTM deep learning model. Stochastic Environmental Research and Risk Assessment, 36 (10) 3467-3485 doi:10.1007/s00477-022-02204-3
Boluwade, Alaba, M., Amna, Ruheili, Al (2022) Modeling the contribution of Nitrogen Dioxide, Vertical pressure velocity and PM2.5 to COVID-19 fatalities. Stochastic Environmental Research and Risk Assessment, 36 (10) 3487-3498 doi:10.1007/s00477-022-02205-2
dos Reis, Carlos José, Souza, Amaury, Graf, Renata, Kossowski, Tomasz M., Abreu, Marcel Carvalho, de Oliveira-Júnior, José Francisco, Fernandes, Widinei Alves (2022) Modeling of the air temperature using the Extreme Value Theory for selected biomes in Mato Grosso do Sul (Brazil) Stochastic Environmental Research and Risk Assessment, 36 (10) 3499-3516 doi:10.1007/s00477-022-02206-1
Gupta, Vidhu, Bisht, Lalita, Deep, Akash, Gautam, Sneha (2022) Spatial distribution, pollution levels, and risk assessment of potentially toxic metals in road dust from major tourist city, Dehradun, Uttarakhand India. Stochastic Environmental Research and Risk Assessment, 36 (10) 3517-3533 doi:10.1007/s00477-022-02207-0
Fang, Zhice, Wang, Yi, Duan, Hexiang, Niu, Ruiqing, Peng, Ling (2022) Comparison of general kernel, multiple kernel, infinite ensemble and semi-supervised support vector machines for landslide susceptibility prediction. Stochastic Environmental Research and Risk Assessment, 36 (10) 3535-3556 doi:10.1007/s00477-022-02208-z
Ng, Jing Lin, Huang, Yuk Feng, Yong, Stephen Luo Sheng, Tan, Jia Wen (2022) Comparative assessment of reference crop evapotranspiration models and its sensitivity to meteorological variables in Peninsular Malaysia. Stochastic Environmental Research and Risk Assessment, 36 (10) 3557-3575 doi:10.1007/s00477-022-02209-y
Nagaraj, Meghana, Srivastav, Roshan (2022) Non-stationary modelling framework for regionalization of extreme precipitation using non-uniform lagged teleconnections over monsoon Asia. Stochastic Environmental Research and Risk Assessment, 36 (10) 3577-3595 doi:10.1007/s00477-022-02211-4
Saha, Sunil, Saha, Anik, Hembram, Tusar Kanti, Mandal, Kanu, Sarkar, Raju, Bhardwaj, Dhruv (2022) Prediction of spatial landslide susceptibility applying the novel ensembles of CNN, GLM and random forest in the Indian Himalayan region. Stochastic Environmental Research and Risk Assessment, 36 (10) 3597-3616 doi:10.1007/s00477-022-02212-3
Serafeim, Athanasios V., Kokosalakis, George, Deidda, Roberto, Karathanasi, Irene, Langousis, Andreas (2022) Probabilistic framework for the parametric modeling of leakages in water distribution networks: large scale application to the City of Patras in Western Greece. Stochastic Environmental Research and Risk Assessment, 36 (10) 3617-3637 doi:10.1007/s00477-022-02213-2

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