Zobrazeno 1 - 10
of 662
pro vyhledávání: '"SDSM"'
Publikováno v:
Applied Water Science, Vol 14, Iss 4, Pp 1-22 (2024)
Abstract One of the main challenges regarding the prediction of groundwater resource changes is the climate change phenomenon and its impacts on quantitative variations of such resources. Groundwater resources are treated as one of the main strategic
Externí odkaz:
https://doaj.org/article/91d1e9ecb06e4762b34a4096062abf9f
Publikováno v:
Frontiers in Environmental Science, Vol 12 (2024)
The blue and green water resource distribution of the Jing River Basin, a cradle of Chinese civilization on the Loess Plateau, was studied using the Soil and Water Assessment Tool and the Sequential Uncertainty Fitting algorithm (vers. 2). Understand
Externí odkaz:
https://doaj.org/article/dbdf416ddfbe4104912a35f50ab57d17
Autor:
Peng Huang, Hua Xie, Yiting Yang, Xuhua Hu, Chaoli Liu, Yang Xu, Changhong Song, Chunsheng Dai, Shahbaz Khan, Yuanlai Cui, Yufeng Luo
Publikováno v:
Agricultural Water Management, Vol 298, Iss , Pp 108858- (2024)
Studying rice water requirements (ETc) and area is crucial for developing irrigation schedules and adjusting crop structures. The cold rice cultivation region is China’s main high-quality rice production base and has the lowest temperature, highest
Externí odkaz:
https://doaj.org/article/141c15651bbd42028f5ccf7d4f281dce
Publikováno v:
Journal of Water and Climate Change, Vol 15, Iss 2, Pp 759-772 (2024)
The study is carried out to investigate the surface runoff depth with changing precipitation due to climate change in the study area where sandy loam and loamy soil are dominant. In this study, future rainfall is projected by a statistical downscalin
Externí odkaz:
https://doaj.org/article/4a4c1e93a0594a6a87c7e47b63ac616f
Publikováno v:
IEEE Access, Vol 12, Pp 20591-20602 (2024)
A novel method is proposed for reconstructing high-fall scenes in complex urban environments based on prominence maximization, addressing the limitations of traditional UAV tilt photogrammetry. Initially, UAV’s initial acquisition data is used to g
Externí odkaz:
https://doaj.org/article/098037c7cb284d76bde73d0beee1de58
Publikováno v:
علوم آب و خاک, Vol 27, Iss 4, Pp 187-201 (2023)
Greenhouse gases and the occurrence of climate change have occurred with the development of technology and the industrialization of human societies. long-term forecasting of climate parameters has always been interesting due to the importance of clim
Externí odkaz:
https://doaj.org/article/8c9e065865284cc4b68dad7ceae0e84d
Autor:
Azarya Bees, Merzy Mooy
Publikováno v:
Jurnal Teknik Pengairan, Vol 15, Iss 1 (2024)
This study aims to determine the availability of Tilong Reservoir inflow related to climate change. Water availability can be seen from the high inflow into the reservoir, obtained using the Mock model to simulate the inflow. The modeling results usi
Externí odkaz:
https://doaj.org/article/595ac231a665486a870af25ebf6d4f84
Autor:
Rituraj Shukla, Deepak Khare, Anuj Kumar Dwivedi, Ramesh Pal Rudra, Santosh S. Palmate, C. S. P. Ojha, Vijay P. Singh
Publikováno v:
Journal of Water and Climate Change, Vol 14, Iss 10, Pp 3559-3595 (2023)
Statistical downscaling (SD) is preferable to dynamic downscaling to derive local-scale climate change information from large-scale datasets. Many statistical downscaling models are available these days, but comparison of their performance is still i
Externí odkaz:
https://doaj.org/article/7218329e6cf94800b7b37d8333178fa9
Publikováno v:
Journal of Water and Climate Change, Vol 14, Iss 9, Pp 2970-2987 (2023)
The objective of this research was to develop a statistical downscaling approach in the Phetchaburi River Basin, Thailand, consisting of two main processes: predictor selection and relationship construction between predictors and local rainfall. Supe
Externí odkaz:
https://doaj.org/article/2c94fa763957447bab972c0a38a8f0fb
Autor:
Haftu Brhane Gebremichael, Gelana Amente Raba, Kassahun Ture Beketie, Gudina Legese Feyisa, Fikru Abiko Anose
Publikováno v:
Environmental Systems Research, Vol 12, Iss 1, Pp 1-16 (2023)
Abstract Background Projecting future streamflow variation or the hydrological impact of climate change plays a pivotal role in the sustainable implication of planning water resources management. Therefore, this study predicts the potential of climat
Externí odkaz:
https://doaj.org/article/3dfa13b4f3ab4934bd5bd8a95f291a7a