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Journal of water and climate change
IWA Publishing
Journal of water and climate change

IWA Publishing

季刊

2040-2244

Journal of water and climate change/Journal Journal of water and climate changeEISCI
正式出版
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    An examination of the fluctuation and long-term persistence of drought regimes in the Jing River basin using the PDSI-SWAT model

    Mu, DengruiZhang, HongboDang, ChihengYao, Congcong...
    5357-5381页
    查看更多>>摘要:Droughts are becoming more widespread around the world. Drought warnings have become more complex as environmental factors affect drought severity. Furthermore, droughts have an increasing impact on social and economic growth. As a result, it is critical to analyze drought patterns and previous drought events. The study used the Jing River basin in China as an example and employed hydro-meteorological data from 1961 to 2013 to feed into the Soil and Water Assessment Tool model. Through the persistence analysis, it can be found that the current drought will likely remain, with drought deepening in arid areas and water scarcity in humid ones. The findings indicate that monitoring the sub-basin for signals of inconsistent droughts is necessary to improve drought early warning systems and relief efforts, especially in areas with slightly lower precipitation. As a result, this paper suggests a basin drought zoning technique that may adapt to future local conditions, enabling the implementation of more efficient drought relief measures in response to shifting drought conditions and patterns. This will bring new insights into the best framework for drought relief strategies in various places.

    Categorization and multi-criteria analysis of heat wave vulnerability in Senegal

    Sow, MoussaGaye, Demba
    5382-5396页
    查看更多>>摘要:Climate variability is reflected in different ways in different parts of the world. The Sahel is one of the area's most vulnerable to climatic extremes, particularly heat waves. The objective of the present study is to categorize heat waves and analyze their geographic vulnerability. The methodology sought to analyze the categories of the 2,378 heat waves observed over the period between 1984 and 2020 from 40 stations and to study their seasonality. Heat waves were found to be very common, with a high degree of spatial variability. Seasonally, they are divided into 2,166 moderate heat waves, 202 strong, and 10 severe heat waves. In addition, there is considerable seasonal variability in heat extremes. The seasonal frequency is 28.34% in summer, 27.58% in spring, 27.10% in autumn, and 16.82% in winter. The peak periods are spring (April-May-June) and summer (July-August-September). The northern and eastern regions are strongly marked by the frequency of hot extremes, whose characteristics are harsher, resulting in temperatures exceeding the 95th percentile by around 4 degrees C.

    A framework for analyzing the most relevant indicators of ecohydrology in a changing environment

    Guo, WenxianYu, LongHuang, LintongWang, Baoliang...
    5397-5417页
    查看更多>>摘要:Human activities and climatic changes have altered the hydrological ecosystem of the Min River Basin and affected in-river biodiversity. In this paper, the year of abrupt hydrological change was identified using multiple tests, and the drivers of ecohydrological change were quantified in conjunction with the Budyko coupled hydrothermal equilibrium theory. Combined with ecological flow indicators (ecological surplus (ES) and ecological deficit (ED)) calculated based on discharge hydrographs and multiple hydrological indicators (ES/ED), the degree of river hydrological alteration in the Min River Basin was comprehensively evaluated, and its impacts on in-river biodiversity analyzed. The results of the study showed that: (1) according to the Budyko theory, the influence of human activities on the runoff changes in the Min River Basin reached 56.80%, which was the main influence factor, followed by climatic factors (41.56% for precipitation and 1.64% for evapotranspiration); (2) dam construction has generally resulted in an increase in seasonal ES and a decrease in seasonal ED; (3) the combination of the ecological flow indexes with the ecologically relevant hydrological indicators not only reduces the redundancy between the parameters, but also reflects the essential hydrological information and ecological connotations, and it is an effective method for evaluating ecohydrological mechanisms.

    Monitoring meteorological drought in Hoa Vang district, Da Nang City, using Google Earth Engine and satellite-derived precipitation data combined with ground-based weather stations

    Le, Hanh NgocAn, Tran ThiNguyen, Son HoangLe, Lang Phuc Chi...
    5418-5439页
    查看更多>>摘要:Monitoring the drought progression over time is a critical responsibility to identify the changing trends of this phenomenon. This study aims to assess drought progression based on the standardized precipitation index (SPI) using the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) on the Google Earth Engine cloud computing platform. The study employs the Mann-Kendall test and Sen's slope method to evaluate the reliability of the SPI 1, 3, 6, 9, and SPI 12 indices. The results show that SPI 12 values have the highest reliability, 12 out of 12 months having p-values <0.05. In addition, the study also combines rainfall data collected from the Center for Hydrometeorology and Remote Sensing (CHRS) and field observational data to assess the correlation with SPI calculated from CHIRPS. Results demonstrate that the SPI 12 derived from CHIRPS correlates well with SPI 12 from CHRS and observational data. Furthermore, the study simulated the characteristics of droughts across the Hoa Vang district based on the inverse distance weighting interpolation to assess the fluctuations of SPI values. The research findings facilitate understanding the impacts of droughts on the natural environment and socioeconomics, especially in the agricultural sector in Hoa Vang district, Da Nang City.

    Changes in DOM and alum doses for two rivers of contrasting catchments after intense wildfires

    Daraei, HiuaAwad, JohnLeavesley, AdamAgnew, Mark...
    5440-5457页
    查看更多>>摘要:The dynamics of dissolved organic matter (DOM) in two river waters were investigated after their catchments had been severely burnt in the 2019/2020 Australian wildfires. Shortly after these wildfires, dissolved organic carbon (DOC) concentrations were recorded at high levels (similar to 19 and 30 mg/L) and these became much lower (up to similar to 80% less) in the following winter when river flows had increased. Satellite imagery-based data indicated up to 95% of catchment areas burnt and up to similar to 50% subsequent vegetation recoveries after 2 years. Shifts in burn index values for the burnt areas coincided with DOC concentration variations. The specific colour of waters increased up to 40% as daily river flows increased, indicating higher input of humic content from the burnt catchments. Chlorophyll a was detected at the highest levels in the waters soon after the fires when river flows were lowest. Enhanced alum doses were predicted using two feed-forward models; one based on DOC and turbidity data and the other based on UV@254 nm, colour, and turbidity. The doses predicted using the two models showed high correlations (r > 0.9) and were highest for waters directly after the fires. These models were developed for diverse source waters including those impacted by extreme climate events.

    Hydro-meteorological drought predictions and trend analysis for ungauged watersheds in the Upper Blue Nile basin, Ethiopia, under future climate change impact scenarios

    Wubneh, Melsew A.Alemu, Mikhael G.Sahlu, DejeneKifelew, Mekash S....
    5458-5481页
    查看更多>>摘要:African countries are exposed to climate change risks. This study uses climate models to investigate potential meteorological and hydrological droughts at the selected ungauged watersheds (Gilgel Abbay, Gumara, Megech, and Ribb). The Standardized Precipitation Index SPI and Reconnaissance Drought Index (RDI) were used to analyze meteorological droughts for 6- and 12-month periods and for hydrological droughts, the Streamflow Drought Index (SDI) was used. All indexes were conducted under near (2020-2049) and mid-future (2050-2079) periods using representative concentration pathways (RCPs) of 4.5 and 8.5 scenarios. The result shows that 18.10% of maximum hydrological drought (SDI12) frequency occurred for all scenarios and times domains except RCP8.5 at a near-period. The highest drought annual time scale (SPI12) and regional time scale (RDI12) droughts were recorded at close intervals at 19.83% frequency under the near-period of both scenarios, respectively. The spatiotemporal distribution of meteorological drought at ungauged Megech is more vulnerable to extreme drought with the maximum magnitude recorded in SPI6 and RDI6 (about 3.5) by 2060 under RCP4.5. The SDI6 index also indicates that ungauged Gilgel Abbay may experience acute drought shortly. This study is highly significant, particularly for climate researchers looking to implement climate adaptation mechanisms in the Lake Tana sub-basin.

    Ganga, GAP, and lockdown: potential threats to the biodiversity of the river

    Rai, PrabhakarKumar, J. S. YogeshSen, Arya
    5482-5500页
    查看更多>>摘要:The Ganges River holds a vital status within India as a cornerstone of the nation's ecological and socio-economic fabric. Flowing through diverse terrains like the Himalayas, Gangetic plains, and coastal regions, it fosters an incredibly rich biodiversity, supporting a myriad of life forms ranging from microorganisms to mammals. Beyond its ecological significance, the river sustains the livelihoods of millions, contributing significantly to the economy of northern India. However, rampant human development over recent decades has posed grave threats to its well-being. Pollution from sewage and industrial waste has tainted its waters with heavy metals, posing risks of bioaccumulation and magnification within aquatic life. Infrastructure projects like dams and bridges disrupt natural habitats and impede the migration of aquatic species, further jeopardising the river's ecological balance. Despite these challenges, there have been glimmers of hope, particularly noted during the COVID-19 lockdown when industrial activities ceased, offering the river a temporary reprieve. Moving forward, effective measures are imperative, including reducing industrial and domestic effluent discharge, scrutinising sources of heavy metal contamination, and prioritising the restoration of the river's natural flow. Preserving the Ganges' ecological integrity is paramount, necessitating concerted efforts to ensure its health and vitality for future generations.

    CORDEX Ensemble-based drought projections for Sindh Province of Pakistan under climate change

    Hussain, ZafarWang, ZongminYang, HaiboAziz, Rizwan...
    5501-5517页
    查看更多>>摘要:Climate change threatens water-scarce regions significantly. This study utilized an ensemble of four CORDEX models to project droughts under climate change in Sindh Province, Pakistan, from 2011 to 2099, using 1981-2010 as the reference period. Droughts were analyzed under two representative concentration pathways (RCPs): 2.6 and 8.5. A distribution mapping approach was applied for bias correction against observed data from eight stations and the standardized precipitation evapotranspiration index (SPEI), which measures drought severity, was calculated at 6, 12, and 24-month timescales. Drought duration and severity were identified using run theory. Results indicate an overall decrease in SPEI, implying worsening drought conditions under both RCPs, with more severe droughts expected under RCP 8.5. The most significant declines in SPEI were noted from 2011 to 2040 under RCP 2.6 and from 2071 to 2099 under RCP 8.5. Hyderabad and MohenjoDaro exhibited the highest drought frequencies under RCP 2.6 (41 and 38%, respectively), while Rohri and Padidan showed the highest under RCP 8.5 (45 and 42%, respectively). The findings emphasize the urgency of adopting localized adaptation strategies to reduce escalating risks and impacts of prolonged and severe droughts driven by climate change.

    The impact of future climate and land use changes on runoff in the Min-Tuo River Basin

    Jiang, NanNi, QuanDeng, YuWu, Mingyan...
    5518-5539页
    查看更多>>摘要:In the face of escalating global warming and intensified human activities, it is crucial to quantitatively assess the combined impacts of future climate change (CC) and land use change (LUCC) on runoff. This study employed simulation results of future CC and LUCC in the Min-Tuo River Basin, utilizing the CMIP6 and cellular automata (CA)-Markov models in conjunction with the SWAT model to project runoff changes under various scenarios. The findings indicate an anticipated increase in both precipitation and average temperature in the future. Projected LUCC involves a reduction in arable land and grassland, alongside expansion of other land cover types. Changes in basin runoff are predominantly influenced by precipitation, with a higher likelihood of extreme events as CO2 emissions increase. Across four emission scenarios, the impact of future CC on basin runoff varies from -5.21 to +6.09%, while future LUCC's contribution ranges from +0.05 to +0.07%. When both factors are considered, the overall trend indicates a decrease in future runoff changes, ranging from -0.27 to +0.17%. These findings underscore the greater influence of CC on runoff compared with LUCC, thereby providing a scientific foundation for ecological conservation and water resources management in the basin.

    Hydrodynamic model-driven evolutionary algorithm-based operation optimization of an experimental drainage pumping station

    Li, XuanXue, ShuhongHou, JingmingGuo, Yuan...
    5540-5556页
    查看更多>>摘要:The effective operation of pumping stations plays a crucial role in urban flood management. However, challenges persist in optimizing pumping station operations, including inaccuracies in characterizing flood propagation and the high computational costs associated with optimization. This study introduces a novel optimization approach for pumping station operation that integrates a hydrodynamic model with evolutionary algorithms, leveraging data-driven technology. The method iteratively computes operation rules using the adaptive particle swarm optimization (APSO) algorithm to identify optimal solutions. The hydrodynamic model accurately simulates flood propagation and provides hydraulic parameters for the objective function and constraints of the APSO algorithm. With the predictive capability of the Kriging model, the optimization enhances efficiency by reducing the frequency of calls to the hydrodynamic model. A study case of a flood management digital twin experimental platform was then taken for the application. Compared to initial operation rules, the objective function value of the proposed method is reduced by 28.7, 32.5, and 25%, respectively, under varying magnitudes of unsteady flood inflows, demonstrating high performances in both flood mitigation and operation cost control. Moreover, the method only requires 70 calls to the hydrodynamic model to formulate the decision operation rule.