Suitability evaluation of rural domestic sewage treatment processes in cold areas of Northeast China: Regional differences analysis and engineering application DOI
W. Zhao, Yuzhi Liu, Yu Ge

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 371, P. 123213 - 123213

Published: Nov. 7, 2024

Language: Английский

An integrated hydrological-hydrogeological model for analysing spatio-temporal probability of groundwater infiltration in urban infrastructure DOI Creative Commons

Nejat Zeydalinejad,

Akbar A. Javadi,

David Baldock

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 116, P. 105891 - 105891

Published: Oct. 10, 2024

Language: Английский

Citations

1
Machine learning and deep learning-based landslide susceptibility mapping using geospatial techniques in Wayanad, Kerala state, India DOI Creative Commons

P. LOKESH,

C Madhesh,

Aneesh Mathew

et al.

HydroResearch, Journal Year: 2024, Volume and Issue: 8, P. 113 - 126

Published: Oct. 12, 2024

Language: Английский

Citations

1
Prediction of soil erosion and sediment yield in an ungauged basin based on land use land cover changes DOI
Vinoth Kumar Sampath, Nisha Radhakrishnan

Environmental Monitoring and Assessment, Journal Year: 2023, Volume and Issue: 196(1)

Published: Dec. 19, 2023

Language: Английский

Citations

3
Fuzzy comprehensive evaluation of seawater quality of Larimichthys Crocea mariculture areas in Zhoushan, China DOI
Jianwei Yu,

Shun Wu,

Yu Zhang

et al.

Marine and Freshwater Research, Journal Year: 2024, Volume and Issue: 75(3)

Published: Feb. 1, 2024

Context Aquaculture is an essential industry and assessing its impact on the environment, particularly water quality, crucial for sustainable practices. This study aimed to comprehensively evaluate seawater quality in Dongji Island yellow croaker (Larimichthys crocea) aquaculture area by using fuzzy comprehensive evaluation method field survey. Aims The main objective of this was assess during 2 consecutive years (2019 2020) basis monitoring data. Methods researchers utilised area. Seawater data from 6 months 2019 2020 were collected evaluation. included annual average evaluation, membership degrees calculated each year individual months. Qualitative interviews with 30 local fish farmers conducted unravel challenges faced management. Key results indicated that classified as Class I both However, higher than those 2020, suggesting better 2019. Furthermore, monthly evaluations showed varying degrees, May June having indicating other August had lowest degree, implying poorer month. Conclusions demonstrated effective evaluating areas. It also concluded superior raising concerns about potential environmental degradation. Implications quantitative qualitative findings research have important implications practices Zhoushan highlights need continued management ensure adherence water-quality policies. Future endeavours region should consider maintain a healthy ecosystem.

Language: Английский

Citations

0
Cutting-Edge Approaches for Judging Surface Water Dynamics in Semi-Arid Environments: Integrating Landsat 8 OLI/TIRS and HYDROSAM Model DOI
Pradeep Kumar Badapalli, Anusha Boya Nakkala, Sakram Gugulothu

et al.

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 27, P. 101355 - 101355

Published: Oct. 11, 2024

Language: Английский

Citations

0
Integration of geospatial techniques and analytical hierarchy process (AHP) ind demarcating groundwater potential zones in Lakhimpur district, Assam, India DOI Creative Commons

Arpana Handique,

Praduyt Dey,

Pradeep Kumar

et al.

GEOGRAPHY ENVIRONMENT SUSTAINABILITY, Journal Year: 2024, Volume and Issue: 17(3), P. 109 - 125

Published: Oct. 7, 2024

Overexploitation and climate change have threatened the availability sustenance of groundwater resources. A proper understanding regional distribution is crucial to ensure long-term water security. The present study aims identify potential zones in Lakhimpur district Assam using Analytical Hierarchy Process (AHP) combination with geospatial technologies. occurrence region was determined by several factors including geomorphology, lithology, slope, distance from river, drainage density, lineament rainfall, curvature, soil, land use, cover, Normalized difference vegetation index (NDVI), topographic wetness (TWI). These organized as thematic layers were utilized generate a (GWPZ) map GIS environment. AHP, an effective decision-making technique, adopted assign weights each layer corresponding their relative importance influencing availability. GWPZ prepared weighted overlay techniques categorized into three classes: good, moderate, poor. result revealed that good zone comprises 1909.41 km2 (65.12%), moderate 1018.25 (34.72%) poor 4.22 (0.14%) total geographical area. obtained results 73.33% (Overall accuracy), 0.708 (ROC-AUC), 0.50 mbgl (groundwater level fluctuation) between pre-monsoon post-monsoon prove model has performed satisfactorily identifying zones. findings provide framework for exploration management resources, ensuring future region.

Language: Английский

Citations

0
Suitability evaluation of rural domestic sewage treatment processes in cold areas of Northeast China: Regional differences analysis and engineering application DOI
W. Zhao, Yuzhi Liu, Yu Ge

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 371, P. 123213 - 123213

Published: Nov. 7, 2024

Language: Английский

Citations

0