Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Ghaith Falah Ziarh"'
Autor:
Sayed Tamim Rahimi, Ziauddin Safari, Shamsuddin Shahid, Md Munir Hayet Khan, Zulfiqar Ali, Ghaith Falah Ziarh, Mohamad Rajab Houmsi, Mohd Khairul Idlan bin Muhammad, Il-Moon Chung, Sungwon Kim, Zaher Mundher Yaseen
Publikováno v:
Heliyon, Vol 10, Iss 7, Pp e28433- (2024)
Global warming induces spatially heterogeneous changes in precipitation patterns, highlighting the need to assess these changes at regional scales. This assessment is particularly critical for Afghanistan, where agriculture serves as the primary live
Externí odkaz:
https://doaj.org/article/99cd435b688446aa9f42456268614e4b
Publikováno v:
Water, Vol 16, Iss 4, p 517 (2024)
In this study, the uncertainty in runoff simulations using hydrological models was quantified based on the selection of five evaluation metrics and calibration data length. The calibration data length was considered to vary from 1 to 11 years, and ru
Externí odkaz:
https://doaj.org/article/4f73e168a4d04f82ad6f58da9fc93914
Publikováno v:
Journal of Flood Risk Management, Vol 14, Iss 1, Pp n/a-n/a (2021)
Abstract A major challenge in flood mapping using multi‐criteria decision analysis (MCDA) is the selection of the flood risk factors and the estimation of their relative importance. A novel MCDA method through the integration of two state‐of‐th
Externí odkaz:
https://doaj.org/article/214d590e5ebc4f2f961819d16cbdb8e1
This study aimed to assess the changes in aridity in East Asia (EA) over the next 80 years for the restriction of global warming based on Paris agreement goals. Eight General Circulation Models (GCMs) that provide simulations for 1.5 and 2.0°C globa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e810cb1642a4c61b37ebad46c0dfbcd9
https://doi.org/10.21203/rs.3.rs-2762988/v1
https://doi.org/10.21203/rs.3.rs-2762988/v1
Urban flood vulnerability monitoring needs a large amount of socioeconomic and environmental data collected at regular time intervals. Collecting such data volume is a significant constraint in assessing changes in flood vulnerability. This study pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d4ba7382c03e58f1c6f076f28203be9
https://doi.org/10.21203/rs.3.rs-2508412/v1
https://doi.org/10.21203/rs.3.rs-2508412/v1
Publikováno v:
Theoretical and Applied Climatology. 146:555-566
Climate change has caused a shift in aridity, particularly in the world’s dry regions, affecting several sectors, predominantly the agricultural and water resources. This research examined the climate change effects on crop water demand (CWD) in Sy
Publikováno v:
Theoretical and Applied Climatology. 142:1329-1342
Climate change is supposed to alter not only the mean and variability but also the distribution of rainfall. Changes in rainfall distribution during the monsoon months (June to September) of Bangladesh are evaluated in this study using quantile regre
Autor:
Tarmizi Ismail, Ghaith Falah Ziarh, Muhammad Aslam Noor, Sobri Harun, Mohd Khairul Idlan Muhammad, Mohamad Rajab Houmsi
Publikováno v:
European Journal of Climate Change. :32-37
Reliable projection of climate is essential for climate change impact assessment and mitigation planning. General Circulation Models (GCMs) simulations are generally downscaled into much finer spatial resolution for climate change impact studies at l
Climate change has caused a shift in aridity, particularly in the dry regions of the world which may subsequently affect several sectors predominantly the agricultural and water resources. This research examined the climate change effects on crop wat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50230a25699b9b32860d228e3f58d1fb
https://doi.org/10.21203/rs.3.rs-394301/v1
https://doi.org/10.21203/rs.3.rs-394301/v1
Publikováno v:
Journal of Flood Risk Management, Vol 14, Iss 1, Pp n/a-n/a (2021)
A major challenge in flood mapping using multi‐criteria decision analysis (MCDA) is the selection of the flood risk factors and the estimation of their relative importance. A novel MCDA method through the integration of two state‐of‐the‐art M