Syed Aziz Ur Rehman

Bridging the biophysical gap of Water-Energy-Carbon nexus in agricultural systems: A unified emergy-based framework for evaluating regenerative and demand-side interventions

Shah Dehrai Bibi, Gengyuan Liu, Syed Aziz Ur Rehman, Ruiyan Ni et autres

cn, pk, it (code pays fourni par la source)

Predicting microalgae recovery and pollutant removal in membrane filtration systems for microalgae using machine learning

Pingping Zhang, Yonghao Chen, Zihui Xiao, Hong Tan et autres

cn, pk, mo (code pays fourni par la source)

Assessment of Fine Particulate Matter (PM2.5) Induced Cyto-Genotoxicity in a Highly Polluted Urban Environment: Evidence from Lahore, Pakistan

Meerub Shazad, Muhammad Muddassir Ali, Syed Aziz Ur Rehman, Maryam Javed et autres

pk (code pays fourni par la source)

From Water Scarcity to Crop Loss: A Hybrid WEAP–Machine Learning Framework for Assessing Climate Change Impacts and Irrigation Policy Interventions

Riaz Ahmad, Junguo Liu, Gengyuan Liu, Ayaz Ahmad et autres

Assessing South Asia's environmental‐economic nexus: Green investments, green electricity and green technology innovation through combined quantile regression

Tayyaba Rani, Syed Aziz Ur Rehman, Kyalisiima Prisca

Abstract Despite substantial economic growth, South Asian countries face worsening environmental degradation, raising concerns about the balance between development and sustainability. While previous studies have explored green initiatives and financial development separately, few have examined their combined and interactive effects using distribution‐sensitive …

cn, pk, Ouganda (code pays fourni par la source)

Decarbonizing Pakistan’s transport sector: insights from water-energy nexus simulation by LEAP-WEAP integrated model

Riaz Ahmad, Gengyuan Liu, Syed Aziz Ur Rehman, Junmei Hu et autres

• Pakistan struggles with urbanization-driven energy and water shortages. • New LEAP-WEAP Nexus model is developed to analyze urban transport systems’ interplay. • Electric vehicle transition may strain water resources. • Policies: mass transport, hydrogen, HCNG tech for balanced footprint. • Managing …

cn, pk, au (code pays fourni par la source)

Using hair as a non-invasive matrix to assess the exposure of e-waste workers to selected heavy metals in Pakistan

Sumaira Akram, Said Akbar Khan, Hatice Kübra Gul, Jabir Hussain Syed et autres

pk, tr (code pays fourni par la source)

Shaping sustainable futures in BRICS-T economies: The role of digitalization with moderating effects of green technology innovation and financial inclusion

Tayyaba Rani, Feng Wang, Syed Aziz Ur Rehman, Muhammad Asif Amjad

cn, pk (code pays fourni par la source)

Integrated Systems Modeling for Assessing the Water–Energy Nexus in Pakistan: Lessons Learned From Coupling LEAP–WEAP Planning Approaches

Riaz Ahmad, Gengyuan Liu, Syed Aziz Ur Rehman, Yuan Gao et autres

Systems thinking is crucial in developing strategies for managing and allocating resources in complex scenarios. In the Global South, Pakistan faces challenges such as water scarcity and energy crises, which require integrated approaches. This study combines long-range energy alternatives planning (LEAP) with …

cn, pk, it (code pays fourni par la source)

Pakistan road towards Paris Agreement: Potential decarbonization pathways and future emissions reduction by A developing country

Riaz Ahmad, Gengyuan Liu, Syed Aziz Ur Rehman, Rizwan Fazal et autres

cn, pk, au, br (code pays fourni par la source)

Global Variability of Degree Distribution in Marine Food Webs

Yan Xu, Ferenc Jordán, Mingliang Zhou, Xumeng Huo et autres

ABSTRACT Aim In complex networks, the degree distribution varies and provides an insight into the general structure of the system. For example, it may show scale‐free characteristics of the network, indicating higher vulnerability against non‐random disturbances. However, investigating its spatio‐temporal variability, degree …

hu, cn, it, ro, pk (code pays fourni par la source)

Land Use Change Impacts over the Indus Delta: A Case Study of Sindh Province, Pakistan

Maira Masood, Chunguang He, Shoukat Ali Shah, Syed Aziz Ur Rehman

Land use and land cover changes (LULCCs) are vital indicators for assessing the dynamic relationship between humans and nature, particularly in diverse and evolving landscapes. This study employs remote sensing (RS) data and machine learning algorithms (MLAs) to investigate LULCC dynamics within …

cn, pk (code pays fourni par la source)