Understanding the relationship between land use/land cover changes and air quality: A GIS-based fuzzy inference system approach DOI
Mohd Hafiz Mohd Zaid,

Debolina Basu

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(12)

Published: Nov. 5, 2024

Language: Английский

Assessment of groundwater intrinsic vulnerability using GIS-based DRASTIC method in district Karak, Khyber Pakhtunkhwa, Pakistan DOI Creative Commons
Muhammad Atif Muneer, Mumtaz Ali Khan,

Fayaz Ullah Shinwari

et al.

Frontiers in Water, Journal Year: 2025, Volume and Issue: 7

Published: Feb. 7, 2025

The Study area lies in the southern Kohat deformed fold and thrust belt. This part of plateau, borders extension Himalayan deformation, with Salt range to south most. research is based on DRASTIC model. Anthropogenic activities have potential pollute groundwater. An essential component managing groundwater vulnerability mapping. study used model analyze aquifer identify hydrogeological condition portion Karak, Khyber Pakhtunkhwa. For models, information layers were provided via geographic systems (GIS). uses seven environmental parameters. Vulnerability index concentrations found be 0.78% for Very Low vulnerability, 9.57% 24.96% Moderate 54.01% High 10.68% according results. A total 164.446 km 2 1,540 covered by vulnerable zone. highest Nitrate concentration recorded 11 ppm lowest 4.4 ppm. Around 45% samples surpassed approved limit PSQWA (Pakistan Standards Quality Control Authority) NSQWQ (National Water) standard. >10 represent that some human action has contributed toward concentration.

Language: Английский

Citations

2

Unveiling Seasonal Fluctuations in Air Quality Using Google Earth Engine: A Case Study for Gujarat, India DOI
Keval H. Jodhani, Nitesh Gupta, Aditya D. Parmar

et al.

Topics in Catalysis, Journal Year: 2024, Volume and Issue: 67(15-16), P. 961 - 982

Published: May 15, 2024

Language: Английский

Citations

11

Analysing Heavy Metal Contamination in Groundwater in the Vicinity of Mumbai’s Landfill Sites: An In-depth Study DOI
Abdul Gani, Athar Hussain, Shray Pathak

et al.

Topics in Catalysis, Journal Year: 2024, Volume and Issue: 67(15-16), P. 1009 - 1023

Published: April 21, 2024

Language: Английский

Citations

10

Observed Interannual Variability and Projected Scenarios of Drought using Drought Indicators DOI Open Access
Nitesh Gupta,

Shivani Gond,

Jitendra Patel

et al.

Journal of Water Management Modeling, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

The observation-based analysis of drought development in the Uttar Pradesh region India showed that, despite area being relatively large, agricultural exhibits high spatial variability. However, lack net radiation data hinders capacity to provide reliable estimates evapotranspiration (ET), affecting assessment occurrence since its propagation across hydrological system becomes very sensitive estimation ET. most prominent precipitation deficits occur during monsoon season (June October), showing that changes large-scale circulation are responsible for impact severe drought. El Niño-Southern Oscillation (ENSO) modulates variability with a warm phase favoring strongest influence between August and October. climate change projections under RCP4.5 RCP8.5 scenarios suggest intensification events mid-century, Chambal River Ganges basin affected terms temperature. projected correspond an increase 1.7°C mean temperature, 3.5°C minimum maximum temperature 2050 horizon, decrease 400 800 mm annual was both RCPs.

Language: Английский

Citations

1

A comparison of the performance of SWAT and artificial intelligence models for monthly rainfall–runoff analysis in the Peddavagu River Basin, India DOI Creative Commons
Padala Raja Shekar, Aneesh Mathew, Arunabh Pandey

et al.

AQUA - Water Infrastructure Ecosystems and Society, Journal Year: 2023, Volume and Issue: 72(9), P. 1707 - 1730

Published: Aug. 14, 2023

Abstract Rainfall–runoff (R–R) analysis is essential for sustainable water resource management. In the present study focusing on Peddavagu River Basin, various modelling approaches were explored, including widely used Soil and Water Assessment Tool (SWAT) model, as well seven artificial intelligence (AI) models. The AI models consisted of data-driven models, namely support vector regression, neural network, multiple linear Extreme Gradient Boosting (XGBoost) k-nearest neighbour random forest along with one deep learning model called long short-term memory (LSTM). To evaluate performance these a calibration period from 1990 to 2005 validation 2006 2010 considered. evaluation metrics R2 (coefficient determination) NSE (Nash–Sutcliffe Efficiency). study's findings revealed that all eight yielded generally acceptable results R–R process in Basin. Specifically, LSTM demonstrated very good simulating during both (R2 0.88 0.88) 0.85). conclusion, highlighted growing trend adopting techniques, particularly analysis.

Language: Английский

Citations

13

Coupling Driving Force–Pressure–State–Impact–Response–Management Framework with Hydrochemical Data for Groundwater Management on Sithonia Peninsula, Greece DOI Creative Commons

Eleni Parastatidou,

Maria Margarita Ntona, Nerantzis Kazakis

et al.

Geosciences, Journal Year: 2025, Volume and Issue: 15(1), P. 24 - 24

Published: Jan. 11, 2025

Water scarcity in coastal tourist areas constitutes a critical environmental and socioeconomic sustainability issue. Hence, it is crucial to implement an integrated water resource management protection plan. In this research, the DPSIR framework coupled with hydrochemical data on groundwater resources fractured aquifer of Sithonia Peninsula Chalkidiki, North Greece. Geographical demographic data, together morphology, geology, hydrology, quality were collected evaluated categorize hydrosystem’s driving forces, pressures, states, impacts, responses. The main pressures that affect study area are tourism, geological formation, land use. Based analysis framework, absence landfill site, inadequate operation sewage treatment plants biological wastewater systems, activity contribute significantly degradation quality. Additionally, rock develops preferential flow paths pollutants through preexisting faults, which influence indicates seawater intrusion area. combination index based ion ratios samples identifies high-risk intrusion. Thus, essential reinforce by implementing managed recharge, limiting unnecessary use during season, storing surface wet period.

Language: Английский

Citations

0

Impact of Pollutants on Groundwater Quality and Health Risk Assessment of Quaternary Aquifers in Northern India DOI
Abdul Gani, Athar Hussain, Shray Pathak

et al.

Journal of Hazardous Toxic and Radioactive Waste, Journal Year: 2024, Volume and Issue: 29(1)

Published: Nov. 26, 2024

Language: Английский

Citations

2

A Review of Algae-Based Carbon Capture, Utilization, and Storage (Algae-Based CCUS) DOI Creative Commons
Guihe Li, Jia Yao

Gases, Journal Year: 2024, Volume and Issue: 4(4), P. 468 - 503

Published: Dec. 2, 2024

Excessive emissions of greenhouse gases, primarily carbon dioxide (CO2), have garnered worldwide attention due to their significant environmental impacts. Carbon capture, utilization, and storage (CCUS) techniques emerged as effective solutions address CO2 emissions. Recently, direct air capture (DAC) bioenergy with (BECCS) been advanced within the CCUS framework negative emission technologies. BECCS, which involves cultivating biomass for energy production, then capturing storing resultant emissions, offers cost advantages over DAC. Algae-based is integral BECCS framework, leveraging algae’s biological processes sequester while simultaneously contributing production potentially achieving net Algae’s high photosynthetic efficiency, rapid growth rates, ability grow in non-arable environments provide other methods. This comprehensive review explores recent innovations algae-based technologies, focusing on mechanisms through algae. It highlights advancements algae cultivation efficient biofuel dual materials, well key challenges that need be addressed further optimization. provides valuable insights into potential a component global reduction strategies.

Language: Английский

Citations

1

Insight into the interaction between amino acids and SO2: Detailed bonding modes DOI Creative Commons
Yue Yang,

Jialing Yu,

Xiankai Jiang

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: May 24, 2024

Abstract Amino acids are a highly effective and enviromentally friendly adsorbent for SO2. However, there has been no comprehensive study of the binding modes between amino SO2 at molecular level. In this paper, three (Asp, Lys, Val) with studied comprehensively in detail using quantum mechanical semi-empirical dynamics simulations as well high-precision chemical calculations. The results indicate that each acid multiple modes: 22 Asp, 49 10 Val. Both carboxyl groups acids, those side chains, can serve sites chalcogen bonds. energies range from − 6.42 to -1.06 kcal/mol -12.43 -1.63 7.42 -0.60 Chalcogen hydrogen bonds play crucial role stronger modes. bond is strongest when interacting an group, adiabatic force constant 0.475 mDyn/Å. Energy decomposition analysis indicates interaction primarily electrostatic attraction, orbital dispersive interactions dependent on This work presents dependable theoretical foundation adsorption by which valuable application field materials.

Language: Английский

Citations

0

Insight into the interaction between amino acids and SO2: Detailed bonding modes DOI
Yue Yang,

Jialing Yu,

Xiankai Jiang

et al.

Journal of Molecular Modeling, Journal Year: 2024, Volume and Issue: 30(8)

Published: July 29, 2024

Language: Английский

Citations

0