Configuration and intercomparison of deep learning neural models for statistical downscaling

J Baño-Medina, R Manzanas… - Geoscientific Model …, 2020 - gmd.copernicus.org
Deep learning techniques (in particular convolutional neural networks, CNNs) have recently
emerged as a promising approach for statistical downscaling due to their ability to learn …

[HTML][HTML] Machine learning method is an alternative for the hydrological model in an alpine catchment in the Tianshan region, Central Asia

W Liang, Y Chen, G Fang, A Kaldybayev - Journal of Hydrology: Regional …, 2023 - Elsevier
Abstract Study region Kaidu River catchment in the Tianshan Mountain, northwestern China.
Study focus This paper compared the applicability and accuracy of four machine learning …

Identifying climate change impacts on water resources in Xinjiang, China

M Luo, T Liu, F Meng, Y Duan, A Bao, W Xing… - Science of the Total …, 2019 - Elsevier
Water resources have an important role in maintaining ecological fuctions and sustaining
social and economic development. This is especially true in arid and semi-arid areas, where …

Hydroclimatic impact assessment using the SWAT model in India—State of the art review

SK Dubey, JJ Kim, Y Her, D Sharma, H Jeong - Sustainability, 2023 - mdpi.com
The Soil and Water Assessment Tool (SWAT) has been widely employed to assist with
decision making and management planning for assessing and mitigating the impact of …

Impacts of climate and land use change on hydrological response in Gumara Watershed, Ethiopia

A Teklay, YT Dile, DH Asfaw, HK Bayabil… - Ecohydrology & …, 2021 - Elsevier
Climate and land-use change affect the hydrologic cycle by altering the hydrological
responses including streamflow (SF), surface runoff (SR), base-flow (BF), and …

Climate variability impacts on runoff projection under quantile mapping bias correction in the support CMIP6: An investigation in Lushi basin of China

P Xue, C Zhang, Z Wen, E Park, H Jakada - Journal of Hydrology, 2022 - Elsevier
In this study, we modelled the XAJ (Xin'anjiang) hydrologic model parameters for the Lushi
basin of China, an important tributary of the Yellow River. Time series of daily precipitation …

Impacts of climate change and agricultural activities on water quality in the Lower Kaidu River Basin, China

W Ba, P Du, T Liu, A Bao, X Chen, J Liu… - Journal of Geographical …, 2020 - Springer
In the context of climate change and over-exploitation of water resources, water shortage
and water pollution in arid regions have become major constraints to local sustainable …

[HTML][HTML] Basin-scale multi-objective simulation-optimization modeling for conjunctive use of surface water and groundwater in northwest China

J Song, Y Yang, X Sun, J Lin, M Wu… - Hydrology and Earth …, 2020 - hess.copernicus.org
In the arid inland basins of China, the long-term unregulated agricultural irrigation from
surface water diversion and groundwater abstraction has caused the unsustainability of …

Impact of climate change on hydro-climatological parameters in North Cyprus: application of artificial intelligence-based statistical downscaling models

G Elkiran, V Nourani, O Elvis… - Journal of …, 2021 - iwaponline.com
There are many environmental challenges in water-limited places in the 21st century,
particularly in dry and semi-arid regions, due to the threat of climate change caused by the …

[HTML][HTML] Quantifying changes and drivers of runoff in the Kaidu River Basin associated with plausible climate scenarios

B Zhao, H Sun, D Yan, G Wei, Y Tuo… - Journal of Hydrology …, 2021 - Elsevier
Abstract Study region The Kaidu River Basin (KRB) is located on the central southern slope
of the Tianshan Mountain in Northwest China. Study focus This work aimed to assess …