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  1. Article ; Online: Assessing multivariate effect of best management practices on non-point source pollution management using the coupled Copula-SWAT model

    Wenlu Ding / Jun Xia / Dunxian She / Xiaoyue Zhang / Ting Chen / Sheng Huang / Heshengyuan Zheng

    Ecological Indicators, Vol 153, Iss , Pp 110393- (2023)

    2023  

    Abstract: Best management practices (BMPs) have wide application in non-point source (NPS) pollution abatement in agricultural watersheds. Multivariate analysis of BMPs reduction effects taking their randomness and correlations into account is significant to ... ...

    Abstract Best management practices (BMPs) have wide application in non-point source (NPS) pollution abatement in agricultural watersheds. Multivariate analysis of BMPs reduction effects taking their randomness and correlations into account is significant to spatial optimization of BMPs configuration. However, quantifying the correlations among high-dimensional random variables of BMPs effects is challenging and remains unexplored thoroughly. This study coupled the SWAT with the Vine Copula model to conduct multivariate analysis of BMPs reduction effects considering their randomness caused by hydro-meteorological variability along with correlations among different indicators (ammonium nitrogen, NH3-N; and total phosphorus, TP) and BMPs. The coupled model was applied to evaluate the multi-indicator effect of individual BMP and combined effect of various BMPs in the upper Boyang River basin, China. Results showed that bivariate copulas and three-dimensional vine copulas can efficaciously describe the dependence of BMPs effects. Simulation results indicate 43–100% probabilities of 45% NH3-N loads reduction, while 0–79% probabilities of 45% TP loads reduction for combined BMPs scenarios. Besides, the joint probabilities of different indicators in combined BMPs scenarios are generally lower than separate probabilities with 0–21% decrease, which is similar to individual BMP. Generally, joint probabilities using copulas can provide more accurate and factual knowledge of the risk and dependability of implementation of BMPs than univariate variables. The proposed model can conduct multivariate analysis of BMPs reduction effects and has great prospect in the future risk-based decision-making of NPS pollution management.
    Keywords Best management practices ; SWAT ; Vine Copula ; Combined effect ; Risk-based decision making ; Non-point source pollution ; Ecology ; QH540-549.5
    Subject code 650
    Language English
    Publishing date 2023-09-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: High Sensitivity of Compound Drought and Heatwave Events to Global Warming in the Future

    Qin Zhang / Dunxian She / Liping Zhang / Gangsheng Wang / Jie Chen / Zengchao Hao

    Earth's Future, Vol 10, Iss 11, Pp n/a-n/a (2022)

    2022  

    Abstract: Abstract Compound drought and heatwave (CDHW) events have received considerable attention in recent years due to their devastating effects on human society and ecosystem. In this study, we systematically investigated the changes of CDHW events in multi‐ ... ...

    Abstract Abstract Compound drought and heatwave (CDHW) events have received considerable attention in recent years due to their devastating effects on human society and ecosystem. In this study, we systematically investigated the changes of CDHW events in multi‐spatiotemporal scales for historical period (1951–2014) and four future scenarios (2020–2100) (SSP1‐2.6, SSP2‐4.5, SSP3‐7.0, and SSP5‐8.5) over global land by using Coupled Model Intercomparison Project Phase 6 (CMIP6) models. The responses of the CDHW events to the changes of maximum air temperature and the climatic water balance variable are also examined. The results show that the multi‐model ensembles project a significant increasing trend in CDHW characteristics over almost all global lands under SSP2‐4.5, SSP3‐7.0, and SSP5‐8.5, especially across northern North‐America, Caribbean, Mediterranean and Russian‐Arctic, there is a stronger increasing trend. A significantly increasing CDHW risk will occur across most global land for the medium to long term future without aggressive adaptation and mitigation strategies. The results of path analysis suggest that temperature is the dominant factor influencing CDHW events. Additionally, higher sensitivity of CDHW events to global warming will occur in the future. Particularly, each 1°C global warming increases the duration of the CDHW events by 3 days in the historical period, but by about 10 days in the future period. Overall, this study improves our understanding in the projection of CDHW events and the impacts of climate drivers to the CDHW events under various future scenarios, which could provide supports about the risk assessment, adaptation and mitigation strategies under climate change.
    Keywords compound events ; compound drought and heatwave (CDHW) ; CMIP6 ; path analysis ; climate change ; future projection ; Environmental sciences ; GE1-350 ; Ecology ; QH540-549.5
    Subject code 910
    Language English
    Publishing date 2022-11-01T00:00:00Z
    Publisher Wiley
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Perspectives on eco-water security and sustainable development in the Yangtze River Basin

    Jun Xia / Zhe Li / Sidong Zeng / Lei Zou / Dunxian She / Dandong Cheng

    Geoscience Letters, Vol 8, Iss 1, Pp 1-

    2021  Volume 9

    Abstract: Abstract The Yangtze River, the largest river in China, has been facing major challenges in massive flooding and eco-environmental health over the past decades. Sustainable socioeconomic development in the Yangtze River Basin depends on water and ... ...

    Abstract Abstract The Yangtze River, the largest river in China, has been facing major challenges in massive flooding and eco-environmental health over the past decades. Sustainable socioeconomic development in the Yangtze River Basin depends on water and ecosystem security. This overview addresses eco-water security under the changing environment of the Yangtze River Basin. Looking forward to a healthy Yangtze River in the future, there are still uncertainties regarding how to assess and wisely manage the Yangtze River through a systematic, integrated approach applied to multiple dimensions, water, biodiversity, ecological services, and resilience, for the sustainable development of ecosystems and human beings. The Yangtze Simulator, an integrated river basin model powered by artificial intelligence and interdisciplinary science, is introduced and discussed, and it will serve as a robust tool for good governance of the Yangtze River Basin.
    Keywords Eco-water security ; Environmental change ; Sustainable development ; Yangtze Simulator ; Integrated management ; Science ; Q ; Geology ; QE1-996.5
    Language English
    Publishing date 2021-04-01T00:00:00Z
    Publisher SpringerOpen
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: Spatiotemporal variation and statistical characteristic of extreme precipitation in the middle reaches of the Yellow River Basin during 1960–2013

    Zhang, Yin / Dunxian She / Jun Xia

    Theoretical and applied climatology. 2019 Jan., v. 135, no. 1-2

    2019  

    Abstract: In recent decades, extreme precipitation events have been a research hotspot worldwide. Based on 12 extreme precipitation indices, the spatiotemporal variation and statistical characteristic of precipitation extremes in the middle reaches of the Yellow ... ...

    Abstract In recent decades, extreme precipitation events have been a research hotspot worldwide. Based on 12 extreme precipitation indices, the spatiotemporal variation and statistical characteristic of precipitation extremes in the middle reaches of the Yellow River Basin (MRYRB) during 1960–2013 were investigated. The results showed that the values of most extreme precipitation indices (except consecutive dry days (CDD)) increased from the northwest to the southeast of the MRYRB, reflecting that the southeast was the wettest region in the study area. Temporally, the precipitation extremes presented a drying trend with less frequent precipitation events. Generalized extreme value (GEV) distribution was selected to fit the time series of all indices, and the quantiles values under the 50-year return period showed a similar spatial extent with the corresponding precipitation extreme indices during 1960–2013, indicating a higher risk of extreme precipitation in the southeast of the MRYRB. Furthermore, the changes in probability distribution functions of indices for the period of 1960–1986 and 1987–2013 revealed a drying tendency in our study area. Both El Niño–Southern Oscillation (ENSO) and Pacific Decadal Oscillation (PDO) were proved to have a strong influence on precipitation extremes in the MRYRB. The results of this study are useful to master the change rule of local precipitation extremes, which will help to prevent natural hazards caused.
    Keywords drying ; El Nino ; probability distribution ; risk ; spatial variation ; temporal variation ; time series analysis ; watersheds ; Yellow River
    Language English
    Dates of publication 2019-01
    Size p. 391-408.
    Publishing place Springer Vienna
    Document type Article
    ZDB-ID 1463177-5
    ISSN 1434-4483 ; 0177-798X
    ISSN (online) 1434-4483
    ISSN 0177-798X
    DOI 10.1007/s00704-018-2371-2
    Database NAL-Catalogue (AGRICOLA)

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  5. Article: Analysis of Impacts of Climate Change and Human Activities on Hydrological Drought: a Case Study in the Wei River Basin, China

    Zou, Lei / Jun Xia / Dunxian She

    Water resources management. 2018 Mar., v. 32, no. 4

    2018  

    Abstract: Climate change and human activity are the two major drivers that can alter hydrological cycle processes and influence the characteristics of hydrological drought in river basins. The present study selects the Wei River Basin (WRB) as a case study region ... ...

    Abstract Climate change and human activity are the two major drivers that can alter hydrological cycle processes and influence the characteristics of hydrological drought in river basins. The present study selects the Wei River Basin (WRB) as a case study region in which to assess the impacts of climate change and human activity on hydrological drought based on the Standardized Runoff Index (SRI) on different time scales. The Generalized Additive Models in Location, Scale and Shape (GAMLSS) are used to construct a time-dependent SRI (SRIᵥₐᵣ) considering the non-stationarity of runoff series under changing environmental conditions. The results indicate that the SRIᵥₐᵣ is more robust and reliable than the traditional SRI. We also determine that different driving factors can influence the hydrological drought evolution on different time scales. On shorter time scales, the effects of human activity on hydrological drought are stronger than those of climate change; on longer time scales, climate change is considered to be the dominant factor. The results presented in this study are beneficial for providing a reference for hydrological drought analysis by considering non-stationarity as well as investigating how hydrological drought responds to climate change and human activity on various time scales, thereby providing scientific information for drought forecasting and water resources management over different time scales under non-stationary conditions.
    Keywords case studies ; climate change ; drought ; environmental factors ; humans ; hydrologic cycle ; models ; runoff ; water management ; watersheds ; China
    Language English
    Dates of publication 2018-03
    Size p. 1421-1438.
    Publishing place Springer Netherlands
    Document type Article
    ZDB-ID 59924-4
    ISSN 1573-1650 ; 0920-4741
    ISSN (online) 1573-1650
    ISSN 0920-4741
    DOI 10.1007/s11269-017-1877-1
    Database NAL-Catalogue (AGRICOLA)

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  6. Article ; Online: Evaluation of Six Satellite-Based Precipitation Products and Their Ability for Capturing Characteristics of Extreme Precipitation Events over a Climate Transition Area in China

    Jie Liu / Jun Xia / Dunxian She / Lingcheng Li / Qiang Wang / Lei Zou

    Remote Sensing, Vol 11, Iss 12, p

    2019  Volume 1477

    Abstract: Extreme precipitation has received much attention because of its implications for hazard assessment and risk management. However, accurate precipitation information for extreme precipitation research from dense rain gauges is still difficult to obtain in ...

    Abstract Extreme precipitation has received much attention because of its implications for hazard assessment and risk management. However, accurate precipitation information for extreme precipitation research from dense rain gauges is still difficult to obtain in developing countries or mountainous regions. Satellite-based precipitation products (SPPs) with high spatial and temporal resolution offer a new way of supplementing data from gauge-based observations. This study aims to evaluate the precision of six SPPs in detail at multiple temporal and spatial scales and explore their ability to capture the characteristics of extreme precipitation from 2009 to 2014 over a semi-arid to semi-humid climate transition area (Wei River basin) in China. The six products are TRMM 3B42RT, TRMM 3B42V7, PERSIANN, PERSIANN CDR, CMORPH RAW, and CRORPH CRT. China gauge-based daily precipitation analysis (CGDPA) provided by the China Meteorological Administration is used as the benchmark reference data. Various statistical evaluation techniques and extreme precipitation indices are used to evaluate and compare the performance of the selected products. The results show that the post real-time products (TRMM 3B42V7, PERSIANN CDR, and CMORPH CRT) agreed better with the reference data than PERSIANN and CMORPH RAW. On a daily scale, TRMM 3B42V7, PERSIANN CDR, and CMORPH CRT displayed similarly good performance. However, at the monthly or annual scale, TRMM 3B42V7 was superior to the other products. With regard to the spatial distribution of precipitation, the datasets performed better over plains and were disappointing over mountainous areas. Additionally, TRMM 3B42V7 provided higher precision and less spatial uncertainty when monitoring extreme precipitation. This study provides a basis for selecting alternative precipitation data for climate transition basins.
    Keywords extreme precipitation ; statistical evaluation ; Wei river basin ; TRMM ; PERSIANN ; CMORPH ; Science ; Q
    Subject code 910
    Language English
    Publishing date 2019-06-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: A New Adaptive Local Linear Prediction Method and Its Application in Hydrological Time Series

    Xiaohua Yang / Dunxian She

    Mathematical Problems in Engineering, Vol

    2010  Volume 2010

    Keywords Mathematics ; QA1-939 ; Science ; Q ; DOAJ:Mathematics ; DOAJ:Mathematics and Statistics ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Technology ; T ; DOAJ:General and Civil Engineering ; DOAJ:Technology and Engineering
    Language English
    Publishing date 2010-01-01T00:00:00Z
    Publisher Hindawi Publishing Corporation
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article: A combined model for river health evaluation based upon the physical, chemical, and biological elements

    Zhang, Xiang / Yu Meng / Jun Xia / Bi Wu / Dunxian She

    Ecological indicators. 2018 Jan., v. 84

    2018  

    Abstract: Rivers provide many services to humans, however, globally, they have been historically impacted from over-exploitation for human needs. Such impacts are likely to increase into the future leading to poorer river health and the service functions provided ... ...

    Abstract Rivers provide many services to humans, however, globally, they have been historically impacted from over-exploitation for human needs. Such impacts are likely to increase into the future leading to poorer river health and the service functions provided by rivers are being lost. This study focused on the river health evaluation for river protection and sustainable water management. Eight indices were selected to structure an evaluation index system, consisting of physical, chemical, and biological elements, for river health evaluation. Among them, a new index, Ratio of Environmental flow to Streamflow (RES), was proposed to evaluate the satisfaction degree of environmental flow and to establish a common standard for the comparison of habitat quality among different rivers. A combined model consisted of fuzzy matter-element and projection pursuit models was established for the evaluation of river health, which was adopted to convert several indices in the evaluation index system to a comprehensive indicator. The Huai River Basin was selected as the case study area. The results showed that the river health of the whole Huai River was at the medium level. Four river reaches such as Reach I, II, IV and V were in the middle level, while only Reach III was at the sub-healthy level. This study is expected to provide scientific knowledge for the improvement of river health and water allocation.
    Keywords case studies ; habitats ; humans ; models ; rivers ; stream flow ; water allocation ; watersheds
    Language English
    Dates of publication 2018-01
    Size p. 416-424.
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 2036774-0
    ISSN 1872-7034 ; 1470-160X
    ISSN (online) 1872-7034
    ISSN 1470-160X
    DOI 10.1016/j.ecolind.2017.08.049
    Database NAL-Catalogue (AGRICOLA)

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  9. Article: Assessing the influence of climate change and inter-basin water diversion on Haihe River basin, eastern China: a coupled model approach

    Xia, Jun / Dunxian She / Qiang Wang / Rui Wang / Xiang Zhang

    Hydrogeology journal. 2018 Aug., v. 26, no. 5

    2018  

    Abstract: The modeling of changes in surface water and groundwater in the areas of inter-basin water diversion projects is quite difficult because surface water and groundwater models are run separately most of the time and the lack of sufficient data limits the ... ...

    Title translation Evaluation de l’influence du changement climatique et du détournement d’eau entre bassins Sur le bassin versant de la rivière Haihe dans l’Est de la Chine: une approche de modélisation couplée Evaluación de la influencia del cambio climático y el trasvase de agua entre cuencas en la Cuenca del río Haihe, este de China: un enfoque de Modelo acoplado 耦合模型法评估气候变化和跨流域调水对中国东部海河流域的影响 Avaliando a influência da mudança climática e transposição de água entre bacias na bacia do Rio Haihe, China oriental: uma abordagem de Modelo acoplado
    Abstract The modeling of changes in surface water and groundwater in the areas of inter-basin water diversion projects is quite difficult because surface water and groundwater models are run separately most of the time and the lack of sufficient data limits the application of complex surface-water/groundwater coupling models based on physical laws, especially for developing countries. In this study, a distributed surface-water and groundwater coupling model, named the distributed time variant gain model–groundwater model (DTVGM-GWM), was used to assess the influence of climate change and inter-basin water diversion on a watershed hydrological cycle. The DTVGM-GWM model can reflect the interaction processes of surface water and groundwater at basin scale. The model was applied to the Haihe River Basin (HRB) in eastern China. The possible influences of climate change and the South-to-North Water Diversion Project (SNWDP) on surface water and groundwater in the HRB were analyzed under various scenarios. The results showed that the newly constructed model DTVGM-GWM can reasonably simulate the surface and river runoff, and describe the spatiotemporal distribution characteristics of groundwater level, groundwater storage and phreatic recharge. The prediction results under different scenarios showed a decline in annual groundwater exploitation and also runoff in the HRB, while an increase of groundwater storage and groundwater level after the SNWDP’s operation. Additionally, as the project also addresses future scenarios, a slight increase is predicted in the actual evapotranspiration, soil water content and phreatic recharge. This study provides valuable insights for developing sustainable groundwater management options for the HRB.
    Keywords basins ; climate change ; developing countries ; evapotranspiration ; groundwater ; hydrogeology ; hydrologic cycle ; hydrologic models ; prediction ; rivers ; runoff ; soil water ; soil water content ; surface water ; water management ; water table ; watersheds ; China
    Language English
    Dates of publication 2018-08
    Size p. 1455-1473.
    Publishing place Springer Berlin Heidelberg
    Document type Article
    ZDB-ID 1227482-3
    ISSN 0941-2816 ; 1431-2174
    ISSN 0941-2816 ; 1431-2174
    DOI 10.1007/s10040-018-1773-7
    Database NAL-Catalogue (AGRICOLA)

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  10. Article: Multi-metric calibration of hydrological model to capture overall flow regimes

    Zhang, Yongyong / Dunxian She / Quanxi Shao / Shifeng Zhang / Xiaoyan Zhai

    Journal of hydrology. 2016 Aug., v. 539

    2016  

    Abstract: Flow regimes (e.g., magnitude, frequency, variation, duration, timing and rating of change) play a critical role in water supply and flood control, environmental processes, as well as biodiversity and life history patterns in the aquatic ecosystem. The ... ...

    Abstract Flow regimes (e.g., magnitude, frequency, variation, duration, timing and rating of change) play a critical role in water supply and flood control, environmental processes, as well as biodiversity and life history patterns in the aquatic ecosystem. The traditional flow magnitude-oriented calibration of hydrological model was usually inadequate to well capture all the characteristics of observed flow regimes. In this study, we simulated multiple flow regime metrics simultaneously by coupling a distributed hydrological model with an equally weighted multi-objective optimization algorithm. Two headwater watersheds in the arid Hexi Corridor were selected for the case study. Sixteen metrics were selected as optimization objectives, which could represent the major characteristics of flow regimes. Model performance was compared with that of the single objective calibration. Results showed that most metrics were better simulated by the multi-objective approach than those of the single objective calibration, especially the low and high flow magnitudes, frequency and variation, duration, maximum flow timing and rating. However, the model performance of middle flow magnitude was not significantly improved because this metric was usually well captured by single objective calibration. The timing of minimum flow was poorly predicted by both the multi-metric and single calibrations due to the uncertainties in model structure and input data. The sensitive parameter values of the hydrological model changed remarkably and the simulated hydrological processes by the multi-metric calibration became more reliable, because more flow characteristics were considered. The study is expected to provide more detailed flow information by hydrological simulation for the integrated water resources management, and to improve the simulation performances of overall flow regimes.
    Keywords algorithms ; aquatic ecosystems ; biodiversity ; case studies ; flood control ; hydrologic models ; life history ; model uncertainty ; model validation ; water supply ; watersheds
    Language English
    Dates of publication 2016-08
    Size p. 525-538.
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 1473173-3
    ISSN 0022-1694
    ISSN 0022-1694
    DOI 10.1016/j.jhydrol.2016.05.053
    Database NAL-Catalogue (AGRICOLA)

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