Changes and drivers of long-term land evapotranspiration in the Yangtze River Basin: A water balance perspective DOI
Hongbing Bai, Yulong Zhong, Ning Ma

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 132763 - 132763

Published: Feb. 1, 2025

Language: Английский

Disentangling Ecological Restoration's Impact on Terrestrial Water Storage DOI Creative Commons
Xiaozhe Shen,

Liantao Niu,

Xiaoxu Jia

et al.

Geophysical Research Letters, Journal Year: 2025, Volume and Issue: 52(4)

Published: Feb. 12, 2025

Abstract Large‐scale ecological restoration (ER) in semiarid regions is often associated with substantial terrestrial water storage (TWS) depletion. This study challenged previous estimates by demonstrating the critical importance of considering other human activities when assessing ER impacts on TWS. Using a novel analytical framework integrating GRACE satellite data and ground observations, we analyzed TWS changes China's Mu Us Sandyland under two scenarios: without mining farming activities. Our results show that consumed at an average rate 11.7 ± 12.2 mm yr −1 from 2003 to 2022. Neglecting led 251% overestimation ER's effect provided more nuanced understanding resource dynamics restored ecosystems, emphasizing need for comprehensive approaches assessments informing sustainable land management strategies globally.

Language: Английский

Citations

2

Seasonal catchment memory of high mountain rivers in the Tibetan Plateau DOI Creative Commons
Haiting Gu, Yue‐Ping Xu, Li Liu

et al.

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: June 1, 2023

Rivers originating in the Tibetan Plateau are crucial to population Asia. However, research about quantifying seasonal catchment memory of these rivers is still limited. Here, we propose a model able accurately estimate terrestrial water storage change (TWSC), and characterize processes durations using curve influence/domination time, respectively. By investigating eight representative basins region, find that precipitation-dominated mainly controlled by precipitation, non-precipitation-dominated strongly influenced temperature. We further uncover basins, longer influence time corresponds domination with approximately six/four months during monsoon season. In addition, long-term observed basins. Quantifying can identify efficient lead times for streamflow forecasts resource management.

Language: Английский

Citations

40

Reconstructed eight-century streamflow in the Tibetan Plateau reveals contrasting regional variability and strong nonstationarity DOI Creative Commons
Yenan Wu, Di Long, Upmanu Lall

et al.

Nature Communications, Journal Year: 2022, Volume and Issue: 13(1)

Published: Oct. 27, 2022

Short instrumental streamflow records in the South and East Tibetan Plateau (SETP) limit understanding of full range long-term variability streamflow, which could greatly impact freshwater resources for about one billion people downstream. Here we reconstruct eight centuries (1200-2012 C.E.) annual from Monsoon Asia Drought Atlas five headwater regions across SETP. We find two regional patterns, including northern (Yellow, Yangtze, Lancang-Mekong) southern (Nu-Salween Yarlung Zangbo-Brahmaputra) SETP showing ten contrasting wet dry periods, with a dividing line moisture regimes at ~32°-33°N identified. demonstrate strong temporal nonstationarity variability, reveal much greater high/low mean flow periods terms duration magnitude: mostly pre-instrumental wetter conditions Zangbo-Brahmaputra drier other rivers. By contrast, frequency extreme flows during Nu-Salween, has increased by ~18% relative to periods.

Language: Английский

Citations

39

The quantitative attribution of climate change to runoff increase over the Qinghai-Tibetan Plateau DOI
Yunfei Wang, Aizhong Ye, Yuhang Zhang

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 897, P. 165326 - 165326

Published: July 5, 2023

Language: Английский

Citations

37

Nanofertilizer Use for Adaptation and Mitigation of the Agriculture/Climate Change Dichotomy Effects DOI Open Access
Raquel Saraiva, Quirina Ferreira, G. C. Rodrigues

et al.

Climate, Journal Year: 2023, Volume and Issue: 11(6), P. 129 - 129

Published: June 10, 2023

Agriculture is considered a significant climate change (CC) driver due to greenhouse gas (GHG) emissions and the loss of fertilizers that contribute water eutrophication. On other hand, effects are already impacting agriculture, endangering food security. This paper explores dichotomies agriculture on CC as well focusing contribution nanofertilizers can bring this complex system in both directions. The strategies reduce while adapting mitigating its must be global effort. It not possible focus only reduction GHG stop being felt worldwide. Nanofertilizers, especially slow- controlled-release nanofertilizers, nutrient input also boost productivity some effects, such soil imbalance agricultural emissions. As so, review highlights benefits their role part strategy reach mitigate ever-growing presents guidelines for increased use these materials order enhance efficacy strategy.

Language: Английский

Citations

23

Downscaled‐GRACE Data Reveal Anthropogenic and Climate‐Induced Water Storage Decline Across the Indus Basin DOI Creative Commons
Arfan Arshad, Ali Mirchi, Saleh Taghvaeian

et al.

Water Resources Research, Journal Year: 2024, Volume and Issue: 60(7)

Published: July 1, 2024

Abstract GRACE (Gravity Recovery and Climate Experiment) has been widely used to evaluate terrestrial water storage (TWS) groundwater (GWS). However, the coarse‐resolution of data limited ability identify local vulnerabilities in changes associated with climatic anthropogenic stressors. This study employs high‐resolution (1 km 2 ) generated through machine learning (ML) based statistical downscaling illuminate TWS GWS dynamics across twenty sub‐regions Indus Basin. Monthly anomalies obtained from a geographically weighted random forest (RF gw model maintained good consistency original at 25 grid scale. The downscaled 1 resolution illustrate spatial heterogeneity depletion within each sub‐region. Comparison in‐situ 2,200 monitoring wells shows that significantly improves agreement data, evidenced by higher Kling‐Gupta Efficiency (0.50–0.85) correlation coefficients (0.60–0.95). Hotspots highest decline rate between 2002 2023 were Dehli Doab (−442, −585 mm/year), BIST (−367, −556 Rajasthan (−242, −381 BARI (−188, −333 mm/year). Based on general additive model, 47%–83% was stressors mainly due increasing trends crop sown area, consumption, human settlements. lower (i.e., −25 −75 mm/year) upstream (e.g., Yogo, Gilgit, Khurmong, Kabul) where factors (downward shortwave radiations, air temperature, sea surface temperature) explained 72%–91% TWS/GWS changes. relative influences varied sub‐regions, underscoring complex interplay natural‐human activities basin. These findings inform place‐based resource management Basin advancing understanding vulnerabilities.

Language: Английский

Citations

13

Climate dynamics and the effect of topography on snow cover variation in the Indus-Ganges-Brahmaputra river basins DOI
Abhishek Banerjee, Shichang Kang, Muhammad Farhan Ul Moazzam

et al.

Atmospheric Research, Journal Year: 2024, Volume and Issue: 309, P. 107571 - 107571

Published: July 10, 2024

Language: Английский

Citations

12

Spatial downscaling of GRACE-derived groundwater storage changes across diverse climates and human interventions with Random Forests DOI
Yiming Wang, Li‐Hui Chen, Yingjie Cui

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 640, P. 131708 - 131708

Published: July 21, 2024

Language: Английский

Citations

11

MODIS daily cloud-gap-filled fractional snow cover dataset of the Asian Water Tower region (2000–2022) DOI Creative Commons
Fangbo Pan, Lingmei Jiang, Gongxue Wang

et al.

Earth system science data, Journal Year: 2024, Volume and Issue: 16(5), P. 2501 - 2523

Published: May 29, 2024

Abstract. Accurate long-term daily cloud-gap-filled fractional snow cover products are essential for climate change and hydrological studies in the Asian Water Tower (AWT) region, but existing Moderate Resolution Imaging Spectroradiometer (MODIS) not sufficient. In this study, multiple-endmember spectral mixture analysis algorithm based on automatic endmember extraction (MESMA-AGE) multistep spatiotemporal interpolation (MSTI) used to produce MODIS product over AWT region (AWT FSC). The FSC have a spatial resolution of 0.005° span from 2000 2022. 2745 scenes Landsat-8 images areal-scale accuracy assessment. metrics, including coefficient determination (R2), root mean squared error (RMSE) absolute (MAE), 0.80, 0.16 0.10, respectively. binarized identification overall (OA), producer's (PA) user's (UA), 95.17 %, 97.34 % 97.59 Snow depth data observed at 175 meteorological stations evaluate point scale, yielding following metrics: an OA 93.26 PA 84.41 UA 82.14 Cohen kappa (CK) value 0.79. observations also assess resulting different weather conditions, with 95.36 (88.96 %), 87.75 (82.26 86.86 (78.86 %) CK 0.84 (0.72) under clear-sky (spatiotemporal reconstruction MSTI algorithm). can provide quantitative distribution information snowpacks mountain models, land surface models numerical prediction region. This dataset is freely available National Tibetan Plateau Data Center https://doi.org/10.11888/Cryos.tpdc.272503 (Jiang et al., 2022) or Zenodo platform https://doi.org/10.5281/zenodo.10005826 2023a).

Language: Английский

Citations

10

Assessing the impact of agriculture, coal mining, and ecological restoration on water sustainability in the Mu Us Sandyland DOI
Nan Gao, Liang Wei, Fen Gou

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 929, P. 172513 - 172513

Published: April 22, 2024

Language: Английский

Citations

9