The Role of Business Communication in Handling Climate Change Issues to Support SDG’s DOI

Ajeng Nisa Kusuma,

Kunto Arief Wibowo

Published: Aug. 6, 2024

Climate change occurs due to long-term changes in temperature and atmosphere, one of the obvious examples climate is global warming that increasing every region world this reaches dangerous levels. The business people has always attached importance a profit from being run, but they do not think about how environmental can have big impact later on people. This study uses qualitative research with literature method use articles provide relevance. results an explanation role communication handling order be able implement SDGs through transparency, awareness education, green marketing also partnership collaboration. Business main foundation because it effective flow, inform mobilize as stakeholder taking action fight change.

Language: Английский

A Comparative Study of Downscaling Methods for Groundwater Based on GRACE Data Using RFR and GWR Models in Jiangsu Province, China DOI Creative Commons
Rong Yang, Yuqing Zhong, Xiaoxiang Zhang

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(3), P. 493 - 493

Published: Jan. 31, 2025

The Gravity Recovery and Climate Experiment (GRACE) introduces a new approach to accurately monitor, in real time, regional groundwater resources, which compensates for the limitations of traditional hydrological observations terms spatiotemporal resolution. Currently, storage changes Jiangsu Province face issues such as low spatial resolution, limited applicability downscaling models, insufficient water resource observation data. This study based on GRACE employs Random Forest Regression (RFR) Geographically Weighted (GWR) methods order obtain high-resolution information change. results indicate that among established 66 × 158 local GWR coefficient determination (R2) ranges from 0.39 0.88, with root mean squared error (RMSE) approximately 2.60 cm. proportion models an R2 below 0.5 was 18.52%. Similarly, RFR trained above time series grid data achieved 0.50, RMSE fluctuating around 1.59 In validation, monthly correlation coefficients between measured stations ranged 0.37 0.66, 53.33% having greater than 0.5. seasonal 0.41 0.62, 60% exceeding 0.44 ranging 0.49 0.84. Only one station had both results. validation accuracy levels, model demonstrated better predictive performance, offers distinct advantages improving resolution Province.

Language: Английский

Citations

0

Groundwater Storage Response to Extreme Hydrological Events in Poyang Lake, China’s Largest Fresh-Water Lake DOI Creative Commons
Xiaoxi Yu, Chengpeng Lu, Edward Park

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(6), P. 988 - 988

Published: March 12, 2025

Groundwater systems are important for maintaining ecological balance and ensuring water supplies. However, under the combined pressures of shifting climate patterns human activities, their responses to extreme events have become increasingly complex. As China’s largest freshwater lake, Poyang Lake supports critical resources, health, adaptation efforts. Yet, relationship between groundwater storage (GWS) hydrological in this region remains insufficiently studied, hindering effective management. This study investigates GWS response by downscaling Gravity Recovery Climate Experiment (GRACE) data validating it with five years observed daily levels. Using GRACE, Global Land Data Assimilation System (GLDAS), ERA5 data, a convolutional neural network (CNN)–attention mechanism (A)–long short-term memory (LSTM) model was selected downscale high resolution (0.1° × 0.1°) estimate recovery times return baseline. Our analysis revealed seasonal fluctuations that phase precipitation, evapotranspiration, runoff. durations flood (2020) drought (2022) ranged from 0.8 3.1 months 0.2 4.8 months, respectively. A strong correlation meteorological droughts, while agricultural significantly weaker. These results indicate precipitation runoff more sensitive than evapotranspiration influencing changes. findings highlight significant sensitivity GWS, despite improved management

Language: Английский

Citations

0

Downscaling GRACE-scale groundwater storage variations to aquifer scales: A linear regression approach based on the water balance concept DOI

Mohammad Hossein Fakourian,

Mostafa Naderi,

Gholamreza Joodaki

et al.

Hydrogeology Journal, Journal Year: 2025, Volume and Issue: unknown

Published: March 12, 2025

Language: Английский

Citations

0

Impact of rapid urbanization on groundwater storage variation amid climate change in the Yangtze River Basin DOI
Weijun Zhou, Lu Hao

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 59, P. 102360 - 102360

Published: April 8, 2025

Language: Английский

Citations

0

A non-stationary downscaling and gap-filling approach for GRACE/GRACE-FO data under climatic and anthropogenic influences DOI Creative Commons
Seyed Mojtaba Mousavimehr, Mohammad Reza Kavianpour

Applied Water Science, Journal Year: 2025, Volume and Issue: 15(5)

Published: April 7, 2025

Language: Английский

Citations

0

Downscaling and Gap-Filling GRACE-Based Terrestrial Water Storage Anomalies in the Qinghai–Tibet Plateau Using Deep Learning and Multi-Source Data DOI Creative Commons
Jun Chen, Linsong Wang, Chao Chen

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(8), P. 1333 - 1333

Published: April 8, 2025

The Qinghai–Tibet Plateau (QTP), a critical hydrological regulator for Asia through its extensive glacier systems, high-altitude lakes, and intricate network of rivers, exhibits amplified sensitivity to climate-driven alterations in precipitation regimes ice mass balance. While the Gravity Recovery Climate Experiment (GRACE) Follow-On (GRACE-FO) missions have revolutionized monitoring terrestrial water storage anomalies (TWSAs) across this hydrologically sensitive region, spatial resolution limitations (3°, equivalent ~300 km) constrain process-scale analysis, compounded by mission temporal discontinuity (data gaps). In study, we present novel downscaling framework integrating gap compensation refinement 0.25° Gated Recurrent Unit (GRU) neural networks, an architecture optimized univariate time series modeling. Through assimilation multi-source parameters (glacier flux, cryosphere–precipitation interactions, land surface processes), GRU-based result resolves nonlinear dynamics while bridging inter-mission observational gaps. Grid-level implementation preserves conservation principles heterogeneous topographies, successfully reconstructing seasonal-to-interannual TWSA variability also long-term trends. Comparative validation against GRACE mascon solutions process-based models demonstrates enhanced capacity resolving sub-basin heterogeneity. This GRU-derived high-resolution is especially valuable dissecting local areas such as Brahmaputra Basin, where complex cycling can affect downstream security. Our study provides transferable methodologies mountainous hydrogeodesy analysis under evolving climate regimes. Future enhancements physics-informed deep learning next-generation climatology–hydrology–gravimetry synergy (e.g., observations models) could further uncertainties extreme elevation zones, advancing predictive understanding Asia’s tower sustainability.

Language: Английский

Citations

0

Attribution analysis of groundwater depth dynamic changes in the water receiving region of the South-to-North water diversion middle route project in China DOI Creative Commons

Pengcheng Xia,

Chengpeng Lu, Guangdong Wu

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 58, P. 102210 - 102210

Published: Jan. 31, 2025

Language: Английский

Citations

0

Unveiling the escalating impact of human activities on groundwater storage in ecologically fragile steppe, Northern China DOI
Xiao Zhang,

Xiong Wu,

Wenping Mu

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133296 - 133296

Published: April 1, 2025

Language: Английский

Citations

0

GRACE/ML-based analysis of the spatiotemporal variations of groundwater storage in Africa DOI

Kuiyuan Ding,

Xiaowei Zhao, Jianmei Cheng

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 647, P. 132336 - 132336

Published: Nov. 16, 2024

Language: Английский

Citations

2

Hydrological insights: Comparative analysis of gridded potential evapotranspiration products for hydrological simulations and drought assessment DOI
Mohammed Abdallah, Ke Zhang, Sudhir Kumar Singh

et al.

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 57, P. 102113 - 102113

Published: Dec. 20, 2024

Language: Английский

Citations

2