Prediction and assessment of meteorological drought characteristics in China based on a future climate model DOI Creative Commons
Tingting Huang, Yu Liu, Zhifeng Jia

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 28, 2023

Abstract Under the background of a warm and humid climate, predicting evaluating future pattern wet dry change characteristics in watersheds is great research significance. Based on Geophysical Fluid Dynamics Laboratory earth system coupling model GFDL‒ESM2M climate model, which highly applicable China, standardized precipitation evapotranspiration index (SPEI) variations China at annual monthly scales was assessed based downscaled data under four typical representative concentration pathway scenarios. The results are as follows: (1) In future, scale meteorological drought trend will become more "aridity", changes be non-uniform. With increase carbon dioxide emission concentration, proportion regional aridity increased future. (2) wetting area decrease, extreme weather events likely to occur. duration mainly 1–4 months. (3) return period large areas country 1–50 years, some western regions even exceed 500 years.

Language: Английский

Effects of precipitation changes on fractional vegetation cover in the Jinghe River basin from 1998 to 2019 DOI Creative Commons
Yu Liu,

Tingting Huang,

Zhiyuan Qiu

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: 80, P. 102505 - 102505

Published: Jan. 30, 2024

Studying the spatiotemporal evolutionary characteristics of vegetation and effect precipitation changes is necessary for understanding regional ecological environment. We used trend analysis, partial correlation significance tests, residual analysis to analyze evolution driving factors fractional cover (FVC) in Jinghe River Basin (JRB) from 1998 2019. The results showed that coverage JRB significantly improved FVC an increasing 90.64% areas JRB, overall annual change was extremely significant (p ≤ 0.01). However, insignificant trend; distribution developed a uniform direction centroid tended move backward. area with between concentration index accounted largest proportion (18.47%). Precipitation generally favored recovery; however, limited non-precipitation dominated FVC. Our study contributes more comprehensive effects patterns on facilitate protection.

Language: Английский

Citations

13
State-level multidimensional agricultural drought susceptibility and risk assessment for agriculturally prominent areas DOI
S M Samiul Islam, Serhan Yeşilköy, Özlem Baydaroğlu

et al.

International Journal of River Basin Management, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 18

Published: Feb. 13, 2024

Given the growing climate variability, quantifying droughts has gained significant importance, particularly in agriculturally concentrated areas such as Iowa. This study presents a novel approach for evaluating risk of agricultural drought, which combines geospatial methods with fuzzy logic algorithm. The integrates diverse array meteorological, physical, and social factors, yielding more comprehensive nuanced understanding impacts drought. covered sector within Corn Belt region Iowa formulated maps illustrating vulnerability drought timeframe spanning from 2015 to 2021. illustrate progress analysis, fully representing spatial temporal dimensions uniqueness this is ascribed its methodological framework, thorough assessment prior research inform assignment weights parameters logic-based index. findings demonstrate notable increase proportion Iowa's land area classified at a'very high' risk, rising 0.66% 5.39% 2018. upward trend suggests an escalating susceptibility conditions. Mid-Iowa western portion state exhibited increased 'high' 'extremely threats during period. accuracy our was validated using Kappa coefficient 75%. indicator potential be utilized context mitigation program monitoring. Moreover, methodology can modified implementation geographical across globe.

Language: Английский

Citations

11
Using Enhanced Gap-Filling and Whittaker Smoothing to Reconstruct High Spatiotemporal Resolution NDVI Time Series Based on Landsat 8, Sentinel-2, and MODIS Imagery DOI Creative Commons

Jieyu Liang,

Chao Ren, Yi Li

et al.

ISPRS International Journal of Geo-Information, Journal Year: 2023, Volume and Issue: 12(6), P. 214 - 214

Published: May 23, 2023

Normalized difference vegetation index (NDVI) time series data, derived from optical images, play a crucial role for crop mapping and growth monitoring. Nevertheless, images frequently exhibit spatial temporal discontinuities due to cloudy rainy weather conditions. Existing algorithms reconstructing NDVI using multi-source remote sensing data still face several challenges. In this study, we proposed novel method, an enhanced gap-filling Whittaker smoothing (EGF-WS), reconstruct (EGF-NDVI) Google Earth Engine. EGF-WS, calculated MODIS, Landsat-8, Sentinel-2 satellites were combined generate high-resolution continuous data. The MODIS was employed as reference fill missing pixels in the Sentinel–Landsat (SL-NDVI) method. Subsequently, filled smoothed filter reduce residual noise SL-NDVI series. With all-round performance assessment (APA) metrics, of EGF-WS compared with conventional Savitzky–Golay approach (GF-SG) Fusui County Guangxi Zhuang Autonomous Region. experimental results have demonstrated that can capture more accurate details GF-SG. Moreover, EGF-NDVI exhibited low root mean square error (RMSE) high coefficient determination (R2). conclusion, holds significant promise providing resolution 10 m 8 days, thereby benefiting mapping, land use change monitoring, various ecosystems, among other applications.

Language: Английский

Citations

15
Seasonal Spatiotemporal Changes in the NDVI and Its Driving Forces in Wuliangsu Lake Basin, Northern China from 1990 to 2020 DOI Creative Commons
Caixia Li, Xiang Jia,

Ruoning Zhu

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(12), P. 2965 - 2965

Published: June 7, 2023

In the context of global climate change, many studies have focused on interannual vegetation variation trends and their response to precipitation temperature, but ignored effects seasonal variability. This study explored relationship between normalized difference index (NDVI) elements in Wuliangsu Lake Basin area from 1990 2020, quantified impacts human activities dynamics. We used Landsat series data analyze spatial temporal NDVI using trend analysis method, Theil–Sen median, Mann–Kendall test, Hurst index. Then, we meteorological land use quantify residual analysis, correlation methods determine driving forces variations. The results showed that changes presented obvious regional characteristics, with a decreasing southeast northwest Basin. Due warming, start growing season (SOS) is 4.3 days (2001 2010) 6.8 (2011 2020) earlier compared 2000. end (EOS) advanced by 3.6 2010), delayed 8.9 2020). Seasonal (spring, summer, autumn, winter) NDVIs temperature show heterogeneity. Further, grasslands woodlands were vulnerable change activities. Since beginning 21st century, activity was force for improvement Dengkou, west-central, north southwest regions, where ecological instability weak. finding can provide theoretical basis implementation same type restoration projects construction civilization, contribute green sustainable development.

Language: Английский

Citations

14
Effects of land use/cover change on propagation dynamics from meteorological to soil moisture drought considering nonstationarity DOI Creative Commons

Meng Dai,

Ping Feng, Jianzhu Li

et al.

Agricultural Water Management, Journal Year: 2025, Volume and Issue: 312, P. 109452 - 109452

Published: April 2, 2025

Language: Английский

Citations

0
Effects of Climate Change and Human Activities on Runoff in the Upper Reach of Jialing River, China DOI Creative Commons

Wei-Zhao Shi,

Yi He, Yiting Shao

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(13), P. 2481 - 2481

Published: July 6, 2024

In recent years, the runoff of numerous rivers has experienced substantial changes owing to dual influences climate change and human activities. This study focuses on Lixian hydrological station’s controlled basin, located in upper reaches Jialing River China. The objective is assess quantify impacts activities variations. analyzed variations from 1960 2016 employed Soil Water Assessment Tool (SWAT) model, long short-term memory (LSTM) eight Budyko framework formulations factors influencing runoff. Additionally, it used patch-generating land use simulation (PLUS) SWAT models simulate future scenarios under various conditions. results indicate following. (1) area witnessed a significant decline (p < 0.01), while potential evapotranspiration shows upward trend 0.01). Precipitation displays nonsignificant decreasing > 0.1). An abrupt point occurred 1994, dividing period into baseline periods. (2) reveal that contributed 50% 60% changes. According LSTM models, contribution rates are 63.21% 52.22%, respectively. Human thus identified as predominant factor (3) primarily influence through cover Conservation measures led notable increase forested areas 1990 2010, representing most among types. (4) Future suggest highest simulated occurs comprehensive development scenario, lowest observed an ecological conservation scenario. Among 32 scenarios, increases significantly with 10% precipitation decreases substantially 15% reduction precipitation. These findings underscore impact River, highlighting importance incorporating both water resource management planning.

Language: Английский

Citations

3
Impact of human activities on the propagation dynamics from meteorological to hydrological drought in the Nenjiang River Basin, Northeast China DOI Creative Commons

Xubo Geng,

Xiaoping Lei, Xiaoyan Song

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 58, P. 102214 - 102214

Published: Feb. 6, 2025

Language: Английский

Citations

0
Copula-Based Joint Drought Index Using Precipitation, NDVI, and Runoff and Its Application in the Yangtze River Basin, China DOI Creative Commons

Hongfei Wei,

Xiuguo Liu, Weihua Hua

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(18), P. 4484 - 4484

Published: Sept. 12, 2023

Drought monitoring ensures the Yangtze River Basin’s social economy and agricultural production. Developing a comprehensive index with high precision is essential to enhance accuracy of drought management strategies. This study proposes standardized (SCDI) using novel approach that utilizes joint distribution C-vine copula effectively combine three critical factors: precipitation, NDVI, runoff. The analyzes reliability effectiveness SCDI in detecting events through quantitative indicators assesses its applicability Basin. findings are as follows: (1) highly reliable applicable index. Compared traditional indices like SPI, VCI, SRI, it has consistency rate over 67% can detect more sensitive months by 51%. It low false negative only 2% positive 0%, making accurate. also all third-level sub-basins Basin, valuable tool for regional monitoring. (2) time lag effect NDVI affect sensitivity SCDI. When series data shifted forward one month, improves from 47.8% 53%. (3) SDCI assist patterns From 2001 2018, basin saw fluctuations intensity, worst December 2008. western region had less frequent but intense prolonged droughts, while eastern part yet severe droughts.

Language: Английский

Citations

9
Dynamic Effects of Atmosphere over and around the Tibetan Plateau on the Sustained Drought in Southwest China from 2009 to 2014 DOI Creative Commons
Yiwei Ye, Rongxiang Tian,

Zhan Jin

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(8), P. 2198 - 2198

Published: April 21, 2023

The two westerly branches have a significant impact on the climate of area eastern side Tibetan Plateau when flowing around it. A continuous drought event in Southwest China from winter 2009 to spring 2014 caused huge economic losses. This research focuses dynamic field anomalies over during this using statistical analysis, attempts decipher its mechanism China, and provides regression model. We established that anticyclone downdraft were weaker than usual drought, which would reduce southward cold airflow northeast strengthen west wind dry central Asia south plateau. As result, larger southwest region was controlled by warm air mass, acting against precipitation. results will be reference value forecast for also encourage further about how influence side.

Language: Английский

Citations

6
Spatiotemporal Variation Characteristics of Reference Evapotranspiration and Relative Moisture Index in Heilongjiang Investigated through Remote Sensing Tools DOI Creative Commons

Siyi Wen,

Zihan Liu, Yu Han

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(10), P. 2582 - 2582

Published: May 15, 2023

Reference evapotranspiration (ET0) is one of the significant parameters in agricultural irrigation, especially Heilongjiang, a big province China. In this research, spatiotemporal variation characteristics (ET), relative moisture index (MI) and influencing factors ET0 which was divided into six ecology districts according to landforms, were analyzed with meteorological data observed over 40 years from 1980 MOD16 products 2000 2017 using Morlet wavelet analysis partial correlation analysis. The results indicated that (1) spatial distribution ET PET Heilongjiang humid, normal arid showed being higher southwest lower northwest, south north. than 2002 2017, difference small, indicating overall sufficient these years. (2) last years, increased while annual MI decreased. minimum regions −0.25, showing all drought free. (3) importance affecting ranked as average humidity > wind speed sunshine duration. This research provides scientific guidance for study remote sensing reverse ET.

Language: Английский

Citations

4