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  1. Article ; Online: A comprehensive drought index based on remote sensing data and nested copulas for monitoring meteorological and agroecological droughts: A case study on the Qinghai-Tibet Plateau

    Cheng, Yujia / Zhang, Ke / Chao, Lijun / Shi, Wuzhi / Feng, Jin / Li, Yunping

    Environmental Modelling and Software. 2023 Mar., v. 161 p.105629-

    2023  

    Abstract: This study proposes a new comprehensive remote sensing drought index (CRSDI) based on the nested copulas of remotely sensed precipitation, vegetation index, and land surface temperature that represent water availability, vegetation health, and ... ...

    Abstract This study proposes a new comprehensive remote sensing drought index (CRSDI) based on the nested copulas of remotely sensed precipitation, vegetation index, and land surface temperature that represent water availability, vegetation health, and disturbance impact, respectively, for monitoring meteorological and agroecological droughts. The Qinghai-Tibet Plateau (QTP) is chosen as a case study to test the CRSDI and investigate drought changes and their impacts on vegetation. The results show that CRSDI can effectively monitor the propagation processes and characteristics of meteorological and agroecological droughts. Drought conditions on the QTP are overall relieved from 2000 to 2020, while these changes show an apparent spatial variability, with a general drying (wetting) trend in the north (south). Moreover, vegetation response to drought is different among different vegetation types, with shrubland having a stronger response, followed by cropland, grassland, and forestland. Clearly, CRSDI is valuable for large-scale drought monitoring and assessment.
    Keywords agroecology ; case studies ; computer software ; cropland ; drought ; forest land ; grasslands ; remote sensing ; shrublands ; surface temperature ; vegetation index ; China ; Comprehensive drought index ; Spatiotemporal variation ; Vegetation sensitivity
    Language English
    Dates of publication 2023-03
    Publishing place Elsevier Ltd
    Document type Article ; Online
    ISSN 1364-8152
    DOI 10.1016/j.envsoft.2023.105629
    Database NAL-Catalogue (AGRICOLA)

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  2. Article: Quantifying the superimposed effects of drought-flood abrupt alternation stress on vegetation dynamics of the Wei River Basin in China

    Shi, Wuzhi / Huang, Shengzhi / Zhang, Ke / Liu, Bojun / Liu, Dengfeng / Huang, Qiang / Fang, Wei / Han, Zhiming / Chao, Lijun

    Journal of hydrology. 2022 June 17,

    2022  

    Abstract: Understanding the response mechanism of vegetation growth to hydro-meteorological events is essential at the global or regional scales, especially in context of global warming and anthropogenic interventions. Previous studies have focused mainly on the ... ...

    Abstract Understanding the response mechanism of vegetation growth to hydro-meteorological events is essential at the global or regional scales, especially in context of global warming and anthropogenic interventions. Previous studies have focused mainly on the responses of vegetation vulnerability to single drought or flood extremes but rarely on those of drought-flood abrupt alternation (i.e., coexistence and rapid transformation of drought and flood, DFAA) events on vegetation growth. Here, this study proposed a binary copula evaluation model to quantitatively explore the internal mechanism of vegetation activity response to DFAA events (flood to drought (FTD) and drought to flood (DTF)) from probabilistic perspective. The Wei River Basin (WRB), the largest tributary of the Yellow River, was selected as a case study. Normalized Difference Vegetation Index (NDVI) was used as a proxy to reveal the spatial-temporal dynamics of vegetation coverage. Then, the response time of vegetation vitality to spring-summer and summer-autumn DFAA events was diagnosed. Finally, the conditional possibility of different vegetation states under DFAA stress was examined. Results showed that: (1) the lag time of optional vegetation response to DFAA events was more than 4 months; (2) FTD and DTF showed drought-flood synergism and antagonism by strengthening and weakening single stress, respectively; and (3) the Jing River Basin is an FTD-sensitive area, whereas as a summer-autumn DTF-compensatory area, the decision-makers should control the stress degree of the upper of the WRB to have a favorable impact on vegetation. Generally, this study sheds new insights into vegetation response to DFAA events, which provides effective theoretical support for decision-makers to formulate effective strategies for DFAA mitigation and sustainable development of ecosystems.
    Keywords antagonism ; case studies ; decision making ; drought ; hydrometeorology ; models ; normalized difference vegetation index ; sustainable development ; synergism ; vegetation ; watersheds ; China ; Yellow River
    Language English
    Dates of publication 2022-0617
    Publishing place Elsevier B.V.
    Document type Article
    Note Pre-press version
    ZDB-ID 1473173-3
    ISSN 1879-2707 ; 0022-1694
    ISSN (online) 1879-2707
    ISSN 0022-1694
    DOI 10.1016/j.jhydrol.2022.128105
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  3. Article ; Online: GRACE-based high-resolution propagation threshold from meteorological to groundwater drought

    Han, Zhiming / Huang, Shengzhi / Huang, Qiang / Leng, Guoyong / Liu, Yi / Bai, Qingjun / He, Panxing / Liang, Wenfu / Shi, Wuzhi

    Agricultural and forest meteorology. 2021 Sept. 15, v. 307 p.108476-

    2021  

    Abstract: Groundwater drought could cause tremendous damage to the social-economy via land subsidence, seawater intrusion and permanent loss of aquifer storage capacity, and often show strong association with meteorological drought. To date, the threshold for ... ...

    Abstract Groundwater drought could cause tremendous damage to the social-economy via land subsidence, seawater intrusion and permanent loss of aquifer storage capacity, and often show strong association with meteorological drought. To date, the threshold for meteorological drought triggering groundwater drought and its dominant factors have been not clarified, which inhibits the effective groundwater drought risk management based on preceding meteorological drought information. In this study, we used the Standardized precipitation index (SPI) and the drought severity index of groundwater storage anomalies (GWSA-DSI) to characterize meteorological and groundwater droughts in the Xijiang River Basin (XRB) of China, respectively. A probabilistic framework is proposed to identify the high-resolution propagation thresholds from meteorological to groundwater drought on 0.25° grid. Results show that GWSA-DSI can reliably identify groundwater drought events, and the propagation time from meteorological to groundwater drought ranges from 8 to 42 months. Although the XRB is located in a humid region with abundant precipitation, the probability of groundwater drought occurrence reached 43.8%, 54.8%, 61.2%, and 64.2% under a light, moderate, severe and extreme meteorological drought event, respectively. The propagation threshold triggering light groundwater drought is mainly dominated by moderate and severe meteorological droughts, which showed an increasing trend from central to southeast of XRB. Soil evaporation and watershed elevation are the main influencing factors on the propagation threshold. It is worth noting that anthropogenic overexploitation of groundwater not only destroy the dynamic balance of regional groundwater system, but also interfere with the propagation processes of meteorological to groundwater drought. The results have great implications for more reliably monitoring and predicting the dynamics of groundwater systems under drought stress, and our proposed framework can also be extended to other regions.
    Keywords aquifers ; atmospheric precipitation ; drought ; evaporation ; forests ; groundwater ; humid zones ; meteorology ; probability ; risk management ; saltwater intrusion ; soil ; subsidence ; water stress ; watersheds ; China ; GRACE ; Meteorological drought ; Groundwater drought ; Propagation threshold
    Language English
    Dates of publication 2021-0915
    Publishing place Elsevier B.V.
    Document type Article ; Online
    ZDB-ID 409905-9
    ISSN 0168-1923
    ISSN 0168-1923
    DOI 10.1016/j.agrformet.2021.108476
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  4. Article: Dry and wet combination dynamics and their possible driving forces in a changing environment

    Shi, Wuzhi / Huang, Shengzhi / Liu, Dengfeng / Huang, Qiang / Leng, Guoyong / Wang, Hao / Fang, Wei / Han, Zhiming

    Journal of hydrology. 2020 Oct., v. 589

    2020  

    Abstract: Previous studies on dry and wet combinations had focused on their evolution characteristics in a single season (i.e. spring or summer), while the dynamics and driving forces between the adjacent seasons remain unsolved, which is important for water ... ...

    Abstract Previous studies on dry and wet combinations had focused on their evolution characteristics in a single season (i.e. spring or summer), while the dynamics and driving forces between the adjacent seasons remain unsolved, which is important for water resources planning and management in a changing environment. To this end, the dry and wet events in adjacent seasons in the Yellow River Basin (YRB) were evaluated based on the standardized precipitation index (SPI), and the joint return periods of various combinations of dry and wet conditions under two scenarios (moderate and severe) were calculated using a copula function. The Mann-Kendall test was used to explore the joint return period dynamics with a 31-year sliding window. The Copula-based likelihood-ratio method and cross-wavelet transform were adopted to explore the driving forces of dry and wet combination dynamics. The results indicate that (1) spring-summer and summer-autumn are prone to continuous dry (wet) events, while the probabilities of the combinations of dry and wet conditions occurring in autumn–winter and winter-spring are almost the same; (2) continuous wet events frequently occur above Longyang gorge and below Huayuankou, while the Inner flow area is prone to continuous dry events; (3) the risk of dry and wet combinations with high frequency decreases, whereas the risk of compound events with low frequency increases; (4) the dependency structure dynamics of the SPI series between adjacent seasons show the strongest correlation with the El Niño-Southern Oscillation (ENSO), followed by the Arctic Oscillation and sunspot activities, implying that the ENSO has a dominant control on the dry and wet combination dynamics in the YRB. This study brings new insights into dry and wet combination dynamics and driving forces in a changing environment and provides a scientific basis for the sustainable utilization of water resources in the YRB.
    Keywords atmospheric precipitation ; evolution ; hydrology ; risk ; spring ; summer ; watersheds ; Arctic region ; Yellow River
    Language English
    Dates of publication 2020-10
    Publishing place Elsevier B.V.
    Document type Article
    Note NAL-AP-2-clean
    ZDB-ID 1473173-3
    ISSN 1879-2707 ; 0022-1694
    ISSN (online) 1879-2707
    ISSN 0022-1694
    DOI 10.1016/j.jhydrol.2020.125211
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  5. Article ; Online: Drought-flood abrupt alternation dynamics and their potential driving forces in a changing environment

    Shi, Wuzhi / Huang, Shengzhi / Liu, Dengfeng / Huang, Qiang / Han, Zhiming / Leng, Guoyong / Wang, Hao / Liang, Wenfu / Li, Pei / Wei, Xiaoting

    Journal of hydrology. 2021 June, v. 597 p.126179-

    2021  

    Abstract: Compared with a single drought or flood, drought-flood abrupt alternation (DFAA) may have more adverse impact on water resources management, crop production, and food security. However, existing studies have paid seldom attention on the evolution ... ...

    Abstract Compared with a single drought or flood, drought-flood abrupt alternation (DFAA) may have more adverse impact on water resources management, crop production, and food security. However, existing studies have paid seldom attention on the evolution characteristics of DFAA in northern China, and their driving factors have not yet been fully revealed. To this end, DFAA events such as drought to flood (DTF) and flood to drought (FTD) are examined from 1960 to 2010 in the Wei River basin (WRB) located in northern China, which is the largest tributary of the Yellow River Basin. Firstly, the long-cycle drought-flood abrupt transition index (LDFAI) is defined to identify DFAA events during the flood season of WRB. Secondly, the spatiotemporal evolution characteristics and future trend variability of DFAA events are explored based on LDFAI. Finally, the driving factors of DFAA events are comprehensively evaluated using qualitative and quantitative combination framework. Results indicate that (1) the frequency of DTF events in the WRB presents a “less-more-less” variation pattern from southwest to northeast and shows a significant spatial difference. However, the FDT events are vice versa; (2) the flood season is dominated by FTD events in the WRB, and the upstream of the WRB and Jing River basin (JRB) are dominated by the DTF events before mutation point; (3) the four sub-regions of the WRB show oscillation changes of “DTF-FDT” with 35-year period, and are prone to DTF events after 2010 years; and (4) average water vapor pressure is the dominant factor of DFAA events in the WRB compared with other meteorological factors, whereas Arctic Oscillation among multiple teleconnection factors exerts strong impacts on DFAA dynamics. The findings may be significant to the early warning and prevention of flood and drought disasters in the WRB under the challenge of future climate change.
    Keywords climate change ; crop production ; drought ; evolution ; food security ; hydrology ; mutation ; vapor pressure ; water vapor ; watersheds ; Arctic region ; China ; Yellow River ; Drought-flood abrupt alternation ; Long-cycle drought-flood abrupt transition index ; Spatiotemporal distribution ; Hurst index ; Driving forces
    Language English
    Dates of publication 2021-06
    Publishing place Elsevier B.V.
    Document type Article ; Online
    ZDB-ID 1473173-3
    ISSN 1879-2707 ; 0022-1694
    ISSN (online) 1879-2707
    ISSN 0022-1694
    DOI 10.1016/j.jhydrol.2021.126179
    Database NAL-Catalogue (AGRICOLA)

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