skip to main content
Idioma:
Primo Advanced Search
Primo Advanced Search Query Term
Primo Advanced Search Query Term
Primo Advanced Search Query Term
Primo Advanced Search prefilters
Busca Simples
Resultados 1 2 3 next page
Mostrar Somente
Refinado por: Lista de Todas as Versões Environmental Sciences remover Lista de Todas as Versões Precipitation remover
Result Number Material Type Add to My Shelf Action Record Details and Options
1
Future projection of water resources based on digitalisation and open data in a water-rich region: a case study of the city of Klagenfurt
Future projection of water resources based on digitalisation and open data in a water-rich region: a case study of the city of Klagenfurt
Material Type:
Artigo 		Adicionar ao Meu Espaço

Future projection of water resources based on digitalisation and open data in a water-rich region: a case study of the city of Klagenfurt

Oberascher, Martin ; Maussner, Claudia ; Truppe, Dietmar ; Eggeling, Eva ; Sitzenfrei, Robert

Water science & technology. Water supply, 2024-04, Vol.24 (4), p.1364-1376 [Periódico revisado por pares]

London: IWA Publishing

Texto completo disponível

Citações Citado por
2
Enhancing Accuracy of Groundwater Level Forecasting with Minimal Computational Complexity Using Temporal Convolutional Network
Enhancing Accuracy of Groundwater Level Forecasting with Minimal Computational Complexity Using Temporal Convolutional Network
Material Type:
Artigo 		Adicionar ao Meu Espaço

Enhancing Accuracy of Groundwater Level Forecasting with Minimal Computational Complexity Using Temporal Convolutional Network

Haider, Adnan ; Lee, Gwanghee ; Jafri, Turab H. ; Yoon, Pilsun ; Piao, Jize ; Jhang, Kyoungson

Water (Basel), 2023-12, Vol.15 (23), p.4041 [Periódico revisado por pares]

Basel: MDPI AG

Texto completo disponível

Citações Citado por
3
A New Method for Estimating Groundwater Changes Based on Optimized Deep Learning Models—A Case Study of Baiquan Spring Domain in China
A New Method for Estimating Groundwater Changes Based on Optimized Deep Learning Models—A Case Study of Baiquan Spring Domain in China
Material Type:
Artigo 		Adicionar ao Meu Espaço

A New Method for Estimating Groundwater Changes Based on Optimized Deep Learning Models—A Case Study of Baiquan Spring Domain in China

Zhang, Jialun ; Dong, Donglin ; Zhang, Longqiang

Water (Basel), 2023-12, Vol.15 (23), p.4129 [Periódico revisado por pares]

Basel: MDPI AG

Texto completo disponível

Citações Citado por
4
Gridded Precipitation Datasets and Gauge Precipitation Products for Driving Hydrological Models in the Dead Sea Region, Jordan
Gridded Precipitation Datasets and Gauge Precipitation Products for Driving Hydrological Models in the Dead Sea Region, Jordan
Material Type:
Artigo 		Adicionar ao Meu Espaço

Gridded Precipitation Datasets and Gauge Precipitation Products for Driving Hydrological Models in the Dead Sea Region, Jordan

Kassem, Youssef ; Gökçekuş, Hüseyin ; Alijl, Nour

Sustainability, 2023-08, Vol.15 (15), p.11965 [Periódico revisado por pares]

Basel: MDPI AG

Texto completo disponível

Citações Citado por
5
Comparison of the Fuzzy Analytic Hierarchy Process (F-AHP) and Fuzzy Logic for Flood Exposure Risk Assessment in Arid Regions
Comparison of the Fuzzy Analytic Hierarchy Process (F-AHP) and Fuzzy Logic for Flood Exposure Risk Assessment in Arid Regions
Material Type:
Artigo 		Adicionar ao Meu Espaço

Comparison of the Fuzzy Analytic Hierarchy Process (F-AHP) and Fuzzy Logic for Flood Exposure Risk Assessment in Arid Regions

Baalousha, Husam Musa ; Younes, Anis ; Yassin, Mohamed A. ; Fahs, Marwan

Hydrology, 2023-07, Vol.10 (7), p.136 [Periódico revisado por pares]

Basel: MDPI AG

Texto completo disponível

Citações Citado por
6
A new rainfall prediction model based on ICEEMDAN-WSD-BiLSTM and ESN
A new rainfall prediction model based on ICEEMDAN-WSD-BiLSTM and ESN
Material Type:
Artigo 		Adicionar ao Meu Espaço

A new rainfall prediction model based on ICEEMDAN-WSD-BiLSTM and ESN

Zhang, Xianqi ; Chen, Haiyang ; Wen, Yihao ; Shi, Jinwen ; Xiao, Yimeng

Environmental science and pollution research international, 2023-04, Vol.30 (18), p.53381-53396 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

Texto completo disponível

Citações Citado por
7
A Case Study: Groundwater Level Forecasting of the Gyorae Area in Actual Practice on Jeju Island Using Deep-Learning Technique
A Case Study: Groundwater Level Forecasting of the Gyorae Area in Actual Practice on Jeju Island Using Deep-Learning Technique
Material Type:
Artigo 		Adicionar ao Meu Espaço

A Case Study: Groundwater Level Forecasting of the Gyorae Area in Actual Practice on Jeju Island Using Deep-Learning Technique

Kim, Deokhwan ; Jang, Cheolhee ; Choi, Jeonghyeon ; Kwak, Jaewon

Water (Basel), 2023-03, Vol.15 (5), p.972 [Periódico revisado por pares]

Basel: MDPI AG

Texto completo disponível

Citações Citado por
8
Predicting Groundwater Level Based on Machine Learning: A Case Study of the Hebei Plain
Predicting Groundwater Level Based on Machine Learning: A Case Study of the Hebei Plain
Material Type:
Artigo 		Adicionar ao Meu Espaço

Predicting Groundwater Level Based on Machine Learning: A Case Study of the Hebei Plain

Wu, Zhenjiang ; Lu, Chuiyu ; Sun, Qingyan ; Lu, Wen ; He, Xin ; Qin, Tao ; Yan, Lingjia ; Wu, Chu

Water (Basel), 2023-02, Vol.15 (4), p.823 [Periódico revisado por pares]

Basel: MDPI AG

Texto completo disponível

Citações Citado por
9
Rainfall Forecast and Drought Analysis for Recent and Forthcoming Years in India
Rainfall Forecast and Drought Analysis for Recent and Forthcoming Years in India
Material Type:
Artigo 		Adicionar ao Meu Espaço

Rainfall Forecast and Drought Analysis for Recent and Forthcoming Years in India

Poornima, S. ; Pushpalatha, M. ; Jana, Raghavendra B. ; Patti, Laxmi Anusri

Water (Basel), 2023-02, Vol.15 (3), p.592 [Periódico revisado por pares]

Basel: MDPI AG

Texto completo disponível

Citações Citado por
10
Comparison of Different Artificial Intelligence Techniques to Predict Floods in Jhelum River, Pakistan
Comparison of Different Artificial Intelligence Techniques to Predict Floods in Jhelum River, Pakistan
Material Type:
Artigo 		Adicionar ao Meu Espaço

Comparison of Different Artificial Intelligence Techniques to Predict Floods in Jhelum River, Pakistan

Ahmed, Fahad ; Loc, Ho Huu ; Park, Edward ; Hassan, Muhammad ; Joyklad, Panuwat

Water (Basel), 2022-11, Vol.14 (21), p.3533 [Periódico revisado por pares]

Basel: MDPI AG

Texto completo disponível

Citações Citado por
Resultados 1 2 3 next page

Personalize Seus Resultados

  1. Editar

Refine Search Results

Expandir Meus Resultados

  1.   

Mostrar Somente

  1. Recursos Online (28)

Data de Publicação 

De até
Refinar
  1. Antes de2017  (1)
  2. 2017Até2017  (1)
  3. 2018Até2018  (1)
  4. 2019Até2020  (7)
  5. Após 2020  (21)
  6. Mais opções open sub menu

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

Buscando em bases de dados remotas. Favor aguardar.