|
|
|
Andrea Momblanch, Ian P. Holman and Sanjay K. Jain
Global change is expected to have a strong impact in the Himalayan region. The climatic and orographic conditions result in unique modelling challenges and requirements. This paper critically appraises recent hydrological modelling applications in Himala...
ver más
|
|
|
|
|
|
|
Salah Basem Ajjur and Emanuele Di Lorenzo
Natural groundwater recharge (GR) assessment depends on several hydrogeological and climatic inputs, where uncertainty is inevitable. Assessing how inputs? uncertainty affects GR estimation is important; however, it remains unclear in arid areas. This st...
ver más
|
|
|
|
|
|
|
Aikaterini Lyra, Athanasios Loukas, Pantelis Sidiropoulos and Lampros Vasiliades
This study presents the projected future evolution of water resource balance and nitrate pollution under various climate change scenarios and climatic models using a holistic approach. The study area is Almyros Basin and its aquifer system, located in Ce...
ver más
|
|
|
|
|
|
|
Maryam Safavi and Maryam Khoshbakht
Utilizing integrated solar systems and renewable energy sources has the potential to not only decrease the CO2 emissions of buildings but also provide access to more affordable energy alternatives compared to fossil fuels, especially considering the rece...
ver más
|
|
|
|
|
|
|
Ashwin Vijay Jadhav, P. R. C. Rahul, Vinay Kumar, Umesh Chandra Dumka and Rohini L. Bhawar
Surface solar radiation (SSR) is a fundamental energy source for an equitable and sustainable future. Meteorology-induced variability increases uncertainty in SSR, thereby limiting its reliability due to its intermittent nature. This variability depends ...
ver más
|
|
|
|
|
|
|
Nuaman Ejaz, Aftab Haider Khan, Muhammad Shahid, Kifayat Zaman, Khaled S. Balkhair, Khalid Mohammed Alghamdi, Khalil Ur Rahman and Songhao Shang
Satellite precipitation products (SPPs) are undeniably subject to uncertainty due to retrieval algorithms and sampling issues. Many research efforts have concentrated on merging SPPs to create high-quality merged precipitation datasets (MPDs) in order to...
ver más
|
|
|
|
|
|
|
Ji Hye Kim, Dae Uk Shin and Heegang Kim
Data centers are energy-intensive facilities, with over 95% of their total cooling load attributed to the heat generated by information technology equipment (ITE). Various energy-saving techniques have been employed to enhance data center efficiency and ...
ver más
|
|
|
|
|
|
|
Jeonghoon Lee, Jeonghyeon Choi, Jiyu Seo, Jeongeun Won and Sangdan Kim
In the context of hydrological model calibration, observational data play a central role in refining and evaluating model performance and uncertainty. Among the critical factors, the length of the data records and the associated climatic conditions are p...
ver más
|
|
|
|
|
|
|
Marinela del Carmen Valencia Giraldo, Simon Ricard and François Anctil
There is currently much discussion as to whether probabilistic (top?down) or possibilistic (bottom?up) approaches are the most appropriate to estimate potential future climate impacts. In a context of deep uncertainty, such as future climate, bottom-up a...
ver más
|
|
|
|
|
|
|
Xianglong Hou, Hui Yang, Jiansheng Cao, Wenzhao Feng and Yuan Zhang
Groundwater evapotranspiration (ETg) is an important component of the hydrological cycle in water-scarce regions and is important for local ecosystems and agricultural irrigation management. However, accurate estimation of ETg is not easy due to uncertai...
ver más
|
|
|
|