A5086993926- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Climate variability and models
- Precipitation Measurement and Analysis
- Meteorological Phenomena and Simulations
- Hydrology and Drought Analysis
- High-Temperature Coating Behaviors
- Groundwater and Watershed Analysis
- Water resources management and optimization
- Nuclear Materials and Properties
- Hydrological Forecasting Using AI
- Soil Moisture and Remote Sensing
- Advancements in Solid Oxide Fuel Cells
- Cryospheric studies and observations
- Groundwater and Isotope Geochemistry
- Dam Engineering and Safety
- Soil erosion and sediment transport
- High Entropy Alloys Studies
- Catalytic Processes in Materials Science
- Metal and Thin Film Mechanics
- Mine drainage and remediation techniques
- Advanced ceramic materials synthesis
- Climate change impacts on agriculture
- Mining and Resource Management
- Nuclear materials and radiation effects
University of Engineering and Technology Lahore
2022-2025
Brunel University of London
2024
University of Agriculture Faisalabad
2015-2024
National University of Sciences and Technology
2014-2023
University of Wisconsin–Madison
2023
Southwest Florida Research
2023
State Key Laboratory of New Ceramics and Fine Processing
2016-2022
University of Faisalabad
2022
Tsinghua University
2016-2022
University of Science and Technology
2019
Previous projections show consistent increases in river flows of Asian Water Towers under future climate change. Here we find non-monotonic changes for seven major rivers originating from the Tibetan Plateau at warming levels 1.5 °C, 2.0 and 3.0 °C based on an observation-constrained hydrological model. The annual mean streamflow level decreases by 0.1-3.2% relative to present-day condition, 1.5-12% level. shifting Yellow, Yangtze, Brahmaputra, Ganges are mostly influenced projected...
This study appraised and compared the performance of process-based hydrological SWAT (soil water assessment tool) with a machine learning-based multi-layer perceptron (MLP) models for simulating streamflow in Upper Indus Basin. The period ranges from 1998 to 2013, where MLP were calibrated/trained validated/tested multiple sites during 1998–2005 2006–2013, respectively. both was evaluated using nash–sutcliffe efficiency (NSE), coefficient determination (R2), Percent BIAS (PBIAS), mean...
Accurate estimation of precipitation from satellite products (PPs) over the complex topography and diverse climate Pakistan with limited rain gauges (RGs) is an arduous task. In current study, we assessed performance two PPs estimated soil moisture (SM) using SM2RAIN algorithm, SM2RAIN-CCI SM2RAIN-ASCAT, on daily scale across during periods 2000–2015 2007–2015, respectively. Several statistical metrics, i.e., Bias, unbiased root mean square error (ubRMSE), Theil’s U, modified Kling–Gupta...
Accurate estimation of precipitation is critical for hydrological, meteorological, and climate models. This study evaluates the performance satellite-based products (SPPs) including Global Precipitation Measurement (GPM)-based Integrated Multi-Satellite Retrievals GPM (IMERG), Tropical Rainfall Mission (TRMM) Analysis (TMPA 3B43-v7), Estimation from Remotely-Sensed Information using Artificial Neural Network (PERSIANN), PERSIANN-CDR (Climate Data Record), over Pakistan based on Surface...
Abstract Almost 2 billion people depend on freshwater provided by the Asian water towers, yet long‐term runoff estimation is challenging in this high‐mountain region with a harsh environment and scarce observations. Most hydrologic models rely observed for calibration, have limited applicability poorly gauged towers. To overcome such limitations, here we propose novel data‐driven model, SM2R (Soil Moisture to Runoff), simulate monthly based soil moisture dynamics using reanalysis forcing...
Water is essential for life, agriculture, and industrialization; however, a rapid increase in population constantly causing water scarcity pollution Pakistan. Mining activities produce the potential toxic element (PTE) accumulation, which lead to unnatural enrichment, ecological pollution, environmental degradation. The resources impeded by PTEs cause serious abnormalities through dermal contact, inhalation, digestion. induced anthropogenic are well-known causes of contamination resources....
Abstract Pakistan experiences extreme flood events almost every year during the monsoon season. Recently, have become more disastrous as their frequency and magnitude increased due to climate change. This situation is further worsened limited capacity of existing water reservoirs ability absorb mitigate peak floods. Thus, simulation stream flows using projected data from models essential assess proper resource management in country. study investigates future floods (in near far periods)...
The use of hydro-climatological time series to identify patterns is essential for comprehending climate change and extreme events such as drought. Hence, in this study, hydrological drought variability based on the standard index (SDI) using DrinC was investigated at ten (10) stations Upper Indus River Basin (UIRB) Pakistan a monthly timescale period 1961–2018. Moreover, applicability improved innovative trend analysis by Sen Slope method (referred hereafter IITA) evaluated comparison with...
ABSTRACT Groundwater depletion is a common issue in the Potohar Plateau region of Pakistan. The identification potential recharge zones this can help to overcome issue. This research aims develop map most suitable groundwater (GWR) by integrating remote sensing and geographic information systems categorize demarcate GWR locations Plateau. analytic hierarchy process (AHP) used combine drainage density, curve number (CN), land use cover, evapotranspiration, slope, geology, rainfall. method...
Merging satellite precipitation products tends to reduce the errors associated with individual and has higher potential for hydrological applications. The current study evaluates performance of merged multi-satellite dataset (daily temporal 0.25° spatial resolution) developed using Dynamic Bayesian Model Averaging algorithm across four different climate regions, i.e., glacial, humid, arid hyper-arid Pakistan during 2000–2015. Four extensively evaluated SPPs over Pakistan, Tropical Rainfall...
Abstract Merged multisatellite precipitation datasets (MMPDs) combine the advantages of individual satellite products (SPPs), have a tendency to reduce uncertainties, and provide higher potentials hydrological applications. This study applied dynamic clustered Bayesian model averaging (DCBA) algorithm merge four SPPs across Pakistan. The DCBA produced weights different varying both spatially temporally accommodate spatiotemporal differences SPP performances. MMPD is developed at daily...
This study proposed a framework using Artificial Neural Networks (ANNs), the designed Residual Regression Method, and probabilistic indexing, for drought sensitivity shift analysis, associated with future yield loss risk in Anthropocene. The temporal assessment of index (Standardized Precipitation Index SPEI) illustrated prevalent occurrence mild to moderate fluctuant trend. Furthermore, optimal ANN model R2=0.86 training 0.7 testing was used project analysis. projected spatial changes...
Quantifying the relative contributions of different factors to runoff change is helpful for basin management, especially in context climate and anthropogenic activities. The effect snow on seldom evaluated. We attribute Heihe Upstream Basin (HUB), an alpine China, using two approaches: a snowmelt-based water balance model Budyko framework. Results from these approaches show good consistency. Precipitation accounts 58% increasing runoff. contribution land-cover seems unremarkable HUB as...
This study evaluates the spatial and temporal performance of Climate Hazard Group InfraRed Precipitation Satellite (CHIRPS) against Tropical Rainfall Measuring Mission (TRMM) Multi-Satellite Analysis (TMPA) 3B42/3B43 v. 7 Global Measurement (GPM)-based Integrated Retrievals for GPM (IMERG V06), from 2000 to 2013. Several statistical metrics were used assess CHIRPS over Indus Basin, its hydrological utility is also assessed using Soil Water Assessment Tool (SWAT). The Gilgit Soan basins...