Pub Date : 2024-08-07DOI: 10.1016/j.ejrh.2024.101919
Study region
Gin River Basin, Sri Lanka.
Study focus
The individual and combined effects of climate and land-use changes on flood flow and inundation in the Gin River basin, Sri Lanka, were assessed. Downscaled, bias-corrected future precipitation projected by an ensemble of general circulation models (GCMs) under the Representative Concentration Pathway (RCP) 4.5 emissions scenario was input into a flood model developed using the Rainfall Runoff Inundation (RRI) model. Possible flood mitigation measures were identified based on flood simulations through the integrated assessment incorporating future climate and land-use projections.
New hydrological insights for the region
The basin is projected to receive increased rainfall during the southwest monsoon (9.7 %) and second inter-monsoon (15.7 %) seasons, excluding March and April, in the future. Human settlements will expand in the downstream areas of the basin, while a significant share of agricultural land (27 %) in the basin will be converted into shrublands by 2050. High flows are predicted to increase by 16 % and 4 % at the upstream and downstream gauging stations, respectively, while mean river flow is expected to decrease by 25 % (upstream) and 34 % (downstream). In addition, a 3.5 % increase in annual maximum inundation extent is projected. However, the total inundation extent in the basin can be reduced by 1.3 % by regulating land-use changes, particularly the conversion of agricultural land into riparian forests.
{"title":"Integrated assessment of the impacts of climate and land-use changes on future flooding and effective adaptation in the Gin River Basin, Sri Lanka","authors":"","doi":"10.1016/j.ejrh.2024.101919","DOIUrl":"10.1016/j.ejrh.2024.101919","url":null,"abstract":"<div><h3>Study region</h3><p>Gin River Basin, Sri Lanka.</p></div><div><h3>Study focus</h3><p>The individual and combined effects of climate and land-use changes on flood flow and inundation in the Gin River basin, Sri Lanka, were assessed. Downscaled, bias-corrected future precipitation projected by an ensemble of general circulation models (GCMs) under the Representative Concentration Pathway (RCP) 4.5 emissions scenario was input into a flood model developed using the Rainfall Runoff Inundation (RRI) model. Possible flood mitigation measures were identified based on flood simulations through the integrated assessment incorporating future climate and land-use projections.</p></div><div><h3>New hydrological insights for the region</h3><p>The basin is projected to receive increased rainfall during the southwest monsoon (9.7 %) and second inter-monsoon (15.7 %) seasons, excluding March and April, in the future. Human settlements will expand in the downstream areas of the basin, while a significant share of agricultural land (27 %) in the basin will be converted into shrublands by 2050. High flows are predicted to increase by 16 % and 4 % at the upstream and downstream gauging stations, respectively, while mean river flow is expected to decrease by 25 % (upstream) and 34 % (downstream). In addition, a 3.5 % increase in annual maximum inundation extent is projected. However, the total inundation extent in the basin can be reduced by 1.3 % by regulating land-use changes, particularly the conversion of agricultural land into riparian forests.</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824002684/pdfft?md5=a5184ee1d3589ea50efe678c06b0be90&pid=1-s2.0-S2214581824002684-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141952835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-07DOI: 10.1016/j.ejrh.2024.101924
Study region
Laptev Sea
Study focus
The absorption slopes of colored dissolved organic matter (CDOM) in the spectral range of 275–295 nm (S275–295) is a reliable parameter of the source and transformation of CDOM and dissolved organic carbon (DOC) in the estuarine environment. Studying S275–295 in coastal areas can provide important information about CDOM and DOC. This study proposed a new multilayer backpropagation neural network (MBPNN) based on the relationship between S275–295 and aCDOM(443) (absorption of CDOM at 443 nm) as a customization function to invert S275–295. The model accurately estimated S275–295 with a MAPE and RMSE of 6.12 % and 0.0012 nm−1, respectively, and revealed the spatiotemporal distribution of S275–295 in the Laptev Sea between 2002 and 2022 (July to September). The effects of influencing factors on temporal and spatial variations of S275–295 were analyzed.
New hydrological insights for the region
The MBPNN model with a customization function has good performance to invert S275–295 in Laptev Sea. The S275–295 in the Laptev Sea ranged from 0.014 to 0.022 nm−1. S275–295 increased gradually from coastal waters to the open sea. Inter-annual S275–295 fluctuated, but no significant trend was observed during the study period (2002–2022). S275–295 was negatively correlated with river discharge (r=-0.41), permafrost thaw depth (r=-0.42), ice extent (r=-0.55) and Normalized Difference Vegetation Index (r=-0.46) but positively correlated with salinity (r=0.86) and wind speed (r=0.46).
{"title":"Retrieval of spectral slope of chromophoric dissolved organic matter (S275–295) in Laptev Sea","authors":"","doi":"10.1016/j.ejrh.2024.101924","DOIUrl":"10.1016/j.ejrh.2024.101924","url":null,"abstract":"<div><h3>Study region</h3><p>Laptev Sea</p></div><div><h3>Study focus</h3><p>The absorption slopes of colored dissolved organic matter (CDOM) in the spectral range of 275–295 nm (<em>S</em><sub>275–295</sub>) is a reliable parameter of the source and transformation of CDOM and dissolved organic carbon (DOC) in the estuarine environment. Studying <em>S</em><sub>275–295</sub> in coastal areas can provide important information about CDOM and DOC. This study proposed a new multilayer backpropagation neural network (MBPNN) based on the relationship between <em>S</em><sub>275–295</sub> and <em>a</em><sub>CDOM</sub>(443) (absorption of CDOM at 443 nm) as a customization function to invert <em>S</em><sub>275–295</sub>. The model accurately estimated <em>S</em><sub>275–295</sub> with a MAPE and RMSE of 6.12 % and 0.0012 nm<sup>−1</sup>, respectively, and revealed the spatiotemporal distribution of <em>S</em><sub>275–295</sub> in the Laptev Sea between 2002 and 2022 (July to September). The effects of influencing factors on temporal and spatial variations of S<sub>275–295</sub> were analyzed.</p></div><div><h3>New hydrological insights for the region</h3><p>The MBPNN model with a customization function has good performance to invert <em>S</em><sub>275–295</sub> in Laptev Sea. The <em>S</em><sub>275–295</sub> in the Laptev Sea ranged from 0.014 to 0.022 nm<sup>−1</sup>. <em>S</em><sub>275–295</sub> increased gradually from coastal waters to the open sea. Inter-annual <em>S</em><sub>275–295</sub> fluctuated, but no significant trend was observed during the study period (2002–2022). <em>S</em><sub>275–295</sub> was negatively correlated with river discharge (<em>r</em>=-0.41), permafrost thaw depth (<em>r</em>=-0.42), ice extent (<em>r</em>=-0.55) and Normalized Difference Vegetation Index (<em>r</em>=-0.46) but positively correlated with salinity (<em>r</em>=0.86) and wind speed (<em>r</em>=0.46).</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824002738/pdfft?md5=8b1fabfb781a8a91c55947a788712ab0&pid=1-s2.0-S2214581824002738-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141963271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-07DOI: 10.1016/j.ejrh.2024.101913
Study region
The Shashe catchment, Limpopo River Basin, Botswana, and Zimbabwe.
Study focus
The Shashe catchment is the third largest flow contributor to the Limpopo River Basin. Water availability in the Shashe catchment is highly seasonal due to high seasonal rainfall variability. The seasonality and inter-annual variability cause shortfalls (demand exceeds the average water availability) in certain months and years. Storage is needed to bridge the seasonal water availability “gap” and mitigate the deficits in drought years, i.e., inter-annual variability. While the need for water storage through grey infrastructure such as dams has long been known, there is growing recognition of the need for approaches to water storage that capitalize on all storage types. However, the current capacity to plan in ways that utilize all storage types is limited. The analyses conducted for this paper assessed the volume and spatial and temporal variability of different storage options – large and small dams, sand dams, soil moisture, and aquifers – in the Shashe catchment of the Limpopo River Basin. An integrated SWAT-MODFLOW model and remote sensing approach were developed for 2015–2020.
New hydrological insights for the region
The total annual water storage in the Shashe catchment is approximately 44,000 Mm3, dominated by groundwater. The annual storage is about 42,000 Mm3 in aquifers, 1500 Mm3 in soil, 700 Mm3 in large dam reservoirs, 45 Mm3 in small dams/ponds, and 0.13 Mm3 in sand dams. There is high seasonality in water storage availability. Soil moisture storage is at its maximum from January to March and lowest from July to September. Dam storage is at its maximum from March to May, and the water storage is relatively stable throughout the year. Aquifer storage is relatively stable during the dry seasons compared to other storage options. Optimizing water use considering the seasonal variation in different storage types could improve water availability and climate resilience.
{"title":"Beyond dams: Assessing integrated water storage in the Shashe catchment, Limpopo River Basin","authors":"","doi":"10.1016/j.ejrh.2024.101913","DOIUrl":"10.1016/j.ejrh.2024.101913","url":null,"abstract":"<div><h3>Study region</h3><p>The Shashe catchment, Limpopo River Basin, Botswana, and Zimbabwe.</p></div><div><h3>Study focus</h3><p>The Shashe catchment is the third largest flow contributor to the Limpopo River Basin. Water availability in the Shashe catchment is highly seasonal due to high seasonal rainfall variability. The seasonality and inter-annual variability cause shortfalls (demand exceeds the average water availability) in certain months and years. Storage is needed to bridge the seasonal water availability “gap” and mitigate the deficits in drought years, i.e., inter-annual variability. While the need for water storage through grey infrastructure such as dams has long been known, there is growing recognition of the need for approaches to water storage that capitalize on all storage types. However, the current capacity to plan in ways that utilize all storage types is limited. The analyses conducted for this paper assessed the volume and spatial and temporal variability of different storage options – large and small dams, sand dams, soil moisture, and aquifers – in the Shashe catchment of the Limpopo River Basin. An integrated SWAT-MODFLOW model and remote sensing approach were developed for 2015–2020.</p></div><div><h3>New hydrological insights for the region</h3><p>The total annual water storage in the Shashe catchment is approximately 44,000 Mm<sup>3</sup>, dominated by groundwater. The annual storage is about 42,000 Mm<sup>3</sup> in aquifers, 1500 Mm<sup>3</sup> in soil, 700 Mm<sup>3</sup> in large dam reservoirs, 45 Mm<sup>3</sup> in small dams/ponds, and 0.13 Mm<sup>3</sup> in sand dams. There is high seasonality in water storage availability. Soil moisture storage is at its maximum from January to March and lowest from July to September. Dam storage is at its maximum from March to May, and the water storage is relatively stable throughout the year. Aquifer storage is relatively stable during the dry seasons compared to other storage options. Optimizing water use considering the seasonal variation in different storage types could improve water availability and climate resilience.</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824002623/pdfft?md5=0239d05f1705b1dcd06425e00cd0eb96&pid=1-s2.0-S2214581824002623-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141952837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-06DOI: 10.1016/j.ejrh.2024.101914
Study region
Four perialpine lakes in Switzerland, with different degrees of lake level management.
Study focus
Alpine regions are particularly sensitive to climate change due to the pronounced effect on snow and glacial melt. In this context, large perialpine lakes play a crucial role in modulating climate change impacts on water resources, which brings together diverse interests. However, climate change studies on river systems rarely include lakes or lake level management. An open question is how to incorporate lake level management effects into hydrologic simulations to project climate change impacts. We combine the hydrologic model PREVAH with the hydrodynamic model MIKE11 to simulate lake level and outflow scenarios from 1981 to 2099, using the Swiss climate change scenarios CH2018.
New hydrological insights for the region
The hydrological projections at the end of the century show pronounced seasonal changes in lake levels, characterised by an increase in winter and a decrease in summer when water demand is highest. Without climate mitigation measures, this summer decrease ranges from −0.04 m for a regulated lake to −0.4 m for an unregulated lake. In addition, the simulations indicate more frequent drought events. The projected changes intensify with time and missing climate mitigation measures. Future work could focus on interannual variability to explore regulatory strategies under changing conditions.
{"title":"On the role of lake level management in modulating climate change impacts on perialpine lakes","authors":"","doi":"10.1016/j.ejrh.2024.101914","DOIUrl":"10.1016/j.ejrh.2024.101914","url":null,"abstract":"<div><h3>Study region</h3><p>Four perialpine lakes in Switzerland, with different degrees of lake level management.</p></div><div><h3>Study focus</h3><p>Alpine regions are particularly sensitive to climate change due to the pronounced effect on snow and glacial melt. In this context, large perialpine lakes play a crucial role in modulating climate change impacts on water resources, which brings together diverse interests. However, climate change studies on river systems rarely include lakes or lake level management. An open question is how to incorporate lake level management effects into hydrologic simulations to project climate change impacts. We combine the hydrologic model PREVAH with the hydrodynamic model MIKE11 to simulate lake level and outflow scenarios from 1981 to 2099, using the Swiss climate change scenarios CH2018.</p></div><div><h3>New hydrological insights for the region</h3><p>The hydrological projections at the end of the century show pronounced seasonal changes in lake levels, characterised by an increase in winter and a decrease in summer when water demand is highest. Without climate mitigation measures, this summer decrease ranges from −0.04 m for a regulated lake to −0.4 m for an unregulated lake. In addition, the simulations indicate more frequent drought events. The projected changes intensify with time and missing climate mitigation measures. Future work could focus on interannual variability to explore regulatory strategies under changing conditions.</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824002635/pdfft?md5=e15c2ad5150309bc52e9ae47186e26a6&pid=1-s2.0-S2214581824002635-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141962424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-06DOI: 10.1016/j.ejrh.2024.101917
Study region
Taiwan
Study focus
This study examines the relationship between typhoon parameters and droughts in Taiwan, particularly following the severe drought of 2020–2021. Using tropical cyclone best-track and satellite-based precipitation datasets from 1981 to 2020, we analyzed anomalies, correlation matrices, and wavelet coherence. Seasonal variations and long-term trends were also detected.
New hydrological insights for the region
We found a positive correlation between typhoon characteristics (count, duration, length, wind speed) in Taiwan and drought occurrence and severity, especially over 2–4 year periods. Conversely, negative relationships were observed between typhoon duration and length in the Western North Pacific (WNP) and drought indices in Taiwan, influenced by large-scale atmospheric patterns. Typhoon duration and length in the WNP had a greater impact on Taiwan's drought than typhoon quantity, showing significant coherence with long-term drought over multi-year to decadal timescales. Seasonally, drought intensity peaked in central and southeastern Taiwan during late winter and early spring when typhoons were absent, in contrast to the rainy summer typhoon season. Spatially, increasing drought trends were identified in central and southern Taiwan, while northern regions exhibited decreasing dryness, potentially linked to the concentration of typhoon landing points in the north. This study underscores the complex relationships between drought severity in Taiwan and typhoon behavior in both the vicinity of Taiwan and the WNP.
{"title":"Revealing the intricate relationship: Droughts and typhoons in Taiwan using the Standardized Precipitation Index (SPI)","authors":"","doi":"10.1016/j.ejrh.2024.101917","DOIUrl":"10.1016/j.ejrh.2024.101917","url":null,"abstract":"<div><h3>Study region</h3><p>Taiwan</p></div><div><h3>Study focus</h3><p>This study examines the relationship between typhoon parameters and droughts in Taiwan, particularly following the severe drought of 2020–2021. Using tropical cyclone best-track and satellite-based precipitation datasets from 1981 to 2020, we analyzed anomalies, correlation matrices, and wavelet coherence. Seasonal variations and long-term trends were also detected.</p></div><div><h3>New hydrological insights for the region</h3><p>We found a positive correlation between typhoon characteristics (count, duration, length, wind speed) in Taiwan and drought occurrence and severity, especially over 2–4 year periods. Conversely, negative relationships were observed between typhoon duration and length in the Western North Pacific (WNP) and drought indices in Taiwan, influenced by large-scale atmospheric patterns. Typhoon duration and length in the WNP had a greater impact on Taiwan's drought than typhoon quantity, showing significant coherence with long-term drought over multi-year to decadal timescales. Seasonally, drought intensity peaked in central and southeastern Taiwan during late winter and early spring when typhoons were absent, in contrast to the rainy summer typhoon season. Spatially, increasing drought trends were identified in central and southern Taiwan, while northern regions exhibited decreasing dryness, potentially linked to the concentration of typhoon landing points in the north. This study underscores the complex relationships between drought severity in Taiwan and typhoon behavior in both the vicinity of Taiwan and the WNP.</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824002660/pdfft?md5=8274b376a7bc1ab913b92d4ab2825e07&pid=1-s2.0-S2214581824002660-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141951650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-06DOI: 10.1016/j.ejrh.2024.101923
Study area
Hebei Province, China
Study focus
Accurate assessment of sector-specific groundwater withdrawals (GWW) is fundamental for targeted groundwater management policies, particularly in regions suffering from severe groundwater over-extraction. Due to the lack of statistical data and the coarse resolution of water supply patterns and GWW, previous studies couldn’t well quantify the GWW where the impact of inter-basin water diversion projects was also neglected. Here we proposed a methodology to simulate sectoral GWW based on flux balance in consideration of the influence of inter-basin water diversion projects.
New hydrological insights for the study region
A case study in Hebei Province, where groundwater is severely over extracted, was used to validate our methodology. Our results showed that the gridded GWW calculations are well aligned with the statistical data from the Hebei Water Resources Bulletin (WRB) at both provincial and municipal levels, with correlation coefficients (R) above 0.9 and normalized root mean squared errors (NRMSE) below 0.1. County-level GWW estimates also match with data from the Department of Water Resources of Hebei Province for 2013 and 2018, with NRMSE around 0.2. Piecewise Linear Regression (PLR) analysis of sectoral GWW further reveals that GWW is quickly declined when water diversion projects or policies are implemented. Together our findings underscore a significant role of water resource engineering and policies in alleviating groundwater over-extraction.
{"title":"Quantification of sector-specific groundwater withdrawals considering water diversion projects in the Hebei Province, China","authors":"","doi":"10.1016/j.ejrh.2024.101923","DOIUrl":"10.1016/j.ejrh.2024.101923","url":null,"abstract":"<div><h3>Study area</h3><p>Hebei Province, China</p></div><div><h3>Study focus</h3><p>Accurate assessment of sector-specific groundwater withdrawals (GWW) is fundamental for targeted groundwater management policies, particularly in regions suffering from severe groundwater over-extraction. Due to the lack of statistical data and the coarse resolution of water supply patterns and GWW, previous studies couldn’t well quantify the GWW where the impact of inter-basin water diversion projects was also neglected. Here we proposed a methodology to simulate sectoral GWW based on flux balance in consideration of the influence of inter-basin water diversion projects.</p></div><div><h3>New hydrological insights for the study region</h3><p>A case study in Hebei Province, where groundwater is severely over extracted, was used to validate our methodology. Our results showed that the gridded GWW calculations are well aligned with the statistical data from the Hebei Water Resources Bulletin (WRB) at both provincial and municipal levels, with correlation coefficients (R) above 0.9 and normalized root mean squared errors (NRMSE) below 0.1. County-level GWW estimates also match with data from the Department of Water Resources of Hebei Province for 2013 and 2018, with NRMSE around 0.2. Piecewise Linear Regression (PLR) analysis of sectoral GWW further reveals that GWW is quickly declined when water diversion projects or policies are implemented. Together our findings underscore a significant role of water resource engineering and policies in alleviating groundwater over-extraction.</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824002726/pdfft?md5=3a362f0124a0f8fc27aaabbf174b7d78&pid=1-s2.0-S2214581824002726-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141951651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-05DOI: 10.1016/j.ejrh.2024.101922
Study region
The eastern flank of the 4 km Rwenzori Mountains and the Mobuku catchment 0.25–0.4 N, 29.85–30.1E are the geographic area for detailed analysis.
Research focus
Hydro-climate variability is studied using high resolution satellite- and model- assimilated products in the period 1980–2023. The Mobuku catchment receives rainfall of 3–6 mm/day which generates an eastward discharge of 100 m3/s that declines rapidly downstream, thereby limiting hydro-power availability.
New insights
Long-term trends in cloud fraction and potential evaporation reveal a tendency for drying associated with increasing easterly winds, subsidence near the mountain top, and warming of +.04 C/year that is melting glaciers. These constrain runoff on the eastern flank of the Rwenzori Mountains. Low river flows in Dec-Mar correspond with dry air intrusions from the northeast. High river flows in Jul-Nov are modulated by sea temperatures in the Indian Ocean that oscillate east-west at ∼3 year interval. Improved understanding of climate variability will contribute to better management of Uganda’s hydro-power resources.
{"title":"Climate variability and hydrology impacts in east Africa’s Rwenzori Mountains","authors":"","doi":"10.1016/j.ejrh.2024.101922","DOIUrl":"10.1016/j.ejrh.2024.101922","url":null,"abstract":"<div><h3>Study region</h3><p>The eastern flank of the 4 km Rwenzori Mountains and the Mobuku catchment 0.25–0.4 N, 29.85–30.1E are the geographic area for detailed analysis.</p></div><div><h3>Research focus</h3><p>Hydro-climate variability is studied using high resolution satellite- and model- assimilated products in the period 1980–2023. The Mobuku catchment receives rainfall of 3–6 mm/day which generates an eastward discharge of 100 m<sup>3</sup>/s that declines rapidly downstream, thereby limiting hydro-power availability.</p></div><div><h3>New insights</h3><p>Long-term trends in cloud fraction and potential evaporation reveal a tendency for drying associated with increasing easterly winds, subsidence near the mountain top, and warming of +.04 C/year that is melting glaciers. These constrain runoff on the eastern flank of the Rwenzori Mountains. Low river flows in Dec-Mar correspond with dry air intrusions from the northeast. High river flows in Jul-Nov are modulated by sea temperatures in the Indian Ocean that oscillate east-west at ∼3 year interval. Improved understanding of climate variability will contribute to better management of Uganda’s hydro-power resources.</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824002714/pdfft?md5=915f54b59354a20ddcbb0947ce0e9a38&pid=1-s2.0-S2214581824002714-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141962329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-05DOI: 10.1016/j.ejrh.2024.101915
Study region
South Korea
Study focus
To overcome the limitations of relying solely on ground precipitation gauges, this study utilizes radar precipitation data to investigate the temporal scaling behavior of extreme rainfall values. Maximum precipitation and extreme quantile values for each grid point were calculated using the rolling-window summation method. The investigation focuses on the relationship between maximum precipitation and duration.
New hydrological insights for the region
The study's findings are as follows: (1) Radar estimates higher maximum precipitation values than ground gauges, especially in mountainous areas with sparse gauge coverage; (2) The maximum precipitation-duration relationship deviates from a power-law relationship primarily due to unusual short-duration extreme rainfall events; (3) Lower-quantile high rainfall values show a stronger power-law relationship influenced by various rainfall mechanisms; (4) The East Asian rainy season induces greater extreme rainfall for durations up to 6 h, while longer durations are dominated by typhoons, indicating different flood risks; (5) Maximum precipitation values for most durations are observed on Jeju Island, primarily caused by typhoon events. Considering that climate change is expected to induce a northward shift in typhoon paths, appropriate flood defense measures should be implemented, especially in the southern part of the Korean Peninsula. These findings highlight how different observation methods can significantly impact flood risk assessment and the design of key hydraulic structures.
{"title":"Analysis on the temporal scaling behavior of extreme rainfall in Korean Peninsula based on high-resolution radar-based precipitation data","authors":"","doi":"10.1016/j.ejrh.2024.101915","DOIUrl":"10.1016/j.ejrh.2024.101915","url":null,"abstract":"<div><h3>Study region</h3><p>South Korea</p></div><div><h3>Study focus</h3><p>To overcome the limitations of relying solely on ground precipitation gauges, this study utilizes radar precipitation data to investigate the temporal scaling behavior of extreme rainfall values. Maximum precipitation and extreme quantile values for each grid point were calculated using the rolling-window summation method. The investigation focuses on the relationship between maximum precipitation and duration.</p></div><div><h3>New hydrological insights for the region</h3><p>The study's findings are as follows: (1) Radar estimates higher maximum precipitation values than ground gauges, especially in mountainous areas with sparse gauge coverage; (2) The maximum precipitation-duration relationship deviates from a power-law relationship primarily due to unusual short-duration extreme rainfall events; (3) Lower-quantile high rainfall values show a stronger power-law relationship influenced by various rainfall mechanisms; (4) The East Asian rainy season induces greater extreme rainfall for durations up to 6 h, while longer durations are dominated by typhoons, indicating different flood risks; (5) Maximum precipitation values for most durations are observed on Jeju Island, primarily caused by typhoon events. Considering that climate change is expected to induce a northward shift in typhoon paths, appropriate flood defense measures should be implemented, especially in the southern part of the Korean Peninsula. These findings highlight how different observation methods can significantly impact flood risk assessment and the design of key hydraulic structures.</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824002647/pdfft?md5=cd582209f89a99d092ab922d9d5f7157&pid=1-s2.0-S2214581824002647-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141962338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-03DOI: 10.1016/j.ejrh.2024.101920
Study region
The middle and lower reaches of the Fuji River system, Central Japan
Study focus
The increase in turbidity over the last decade is considered a major cause of habitat degradation of aquatic organisms in the Fuji River and the adjacent coastal area of Suruga Bay. This study identifies the source and fate of suspended solids (SS) in the Fuji River system based on an investigation of the isotopic composition of strontium (87Sr/86Sr) in river water, SS, and fluvial sediments.
New hydrological insights for the region
The Sr isotope mass-balance model revealed that the strong turbidity (SS > 500 mg L−1) observed in a major tributary system—the Hayakawa River—accounted for 65 % of riverine SS in the Fuji River; however, the Hayakawa River water contributed only 24 % to the total river water flow in the Fuji River. In contrast, riverbed sediments in the Fuji River contained only 11 % of the sediments derived from the Hayakawa River system. These results suggest that the Hayakawa River SS could be a major source of turbidity in the Fuji River but most of it flowing into Suruga Bay without significant sedimentation. The present Sr isotope ratio, depends on host rock types in geologically heterogeneous catchments, can be used for fingerprinting of fluvial SS and improving ecosystem management planning in watersheds susceptible to frequent soil erosion and landslides.
研究区域日本中部富士河水系的中下游研究重点过去十年来,富士河和邻近的骏河湾沿岸地区的浊度增加被认为是水生生物栖息地退化的主要原因。本研究根据对河水、悬浮固体 (SS) 和河道沉积物中锶(87Sr/86Sr)同位素组成的调查,确定了富士河系统中悬浮固体 (SS) 的来源和归宿。锶同位素质量平衡模型显示,在富士河的主要支流早川中观察到的强浊度(SS > 500 mg L-1)占富士河河水 SS 的 65%;然而,早川河水仅占富士河河水总流量的 24%。相比之下,富士河河床沉积物中只有 11% 的沉积物来自早川水系。这些结果表明,早川河 SS 可能是富士河浊度的主要来源,但大部分流入骏河湾的早川河 SS 并没有明显的沉积作用。目前的锶同位素比值取决于地质异质流域的主岩类型,可用于对河川 SS 进行指纹识别,并改善易受频繁水土流失和滑坡影响的流域的生态系统管理规划。
{"title":"Strontium isotope analysis identifies the source and transport of fluvial suspended solids in the Fuji River Basin, Japan","authors":"","doi":"10.1016/j.ejrh.2024.101920","DOIUrl":"10.1016/j.ejrh.2024.101920","url":null,"abstract":"<div><h3>Study region</h3><p>The middle and lower reaches of the Fuji River system, Central Japan</p></div><div><h3>Study focus</h3><p>The increase in turbidity over the last decade is considered a major cause of habitat degradation of aquatic organisms in the Fuji River and the adjacent coastal area of Suruga Bay. This study identifies the source and fate of suspended solids (SS) in the Fuji River system based on an investigation of the isotopic composition of strontium (<sup>87</sup>Sr/<sup>86</sup>Sr) in river water, SS, and fluvial sediments.</p></div><div><h3>New hydrological insights for the region</h3><p>The Sr isotope mass-balance model revealed that the strong turbidity (SS > 500 mg L<sup>−1</sup>) observed in a major tributary system—the Hayakawa River—accounted for 65 % of riverine SS in the Fuji River; however, the Hayakawa River water contributed only 24 % to the total river water flow in the Fuji River. In contrast, riverbed sediments in the Fuji River contained only 11 % of the sediments derived from the Hayakawa River system. These results suggest that the Hayakawa River SS could be a major source of turbidity in the Fuji River but most of it flowing into Suruga Bay without significant sedimentation. The present Sr isotope ratio, depends on host rock types in geologically heterogeneous catchments, can be used for fingerprinting of fluvial SS and improving ecosystem management planning in watersheds susceptible to frequent soil erosion and landslides.</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824002696/pdfft?md5=3b88ab810c2d00e2bcc9804f14320c27&pid=1-s2.0-S2214581824002696-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141962337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-02DOI: 10.1016/j.ejrh.2024.101918
Study region
This study was conducted in the Ganjiang River Basin, situated in eastern China.
Study focus
Previous studies often quantified the impacts of climate change, land use, and dam construction on flow regime by only focusing on two of these factors at one time. In addition, the previous method used to quantify the deviation in the timing of annual extreme water conditions has a flaw. Therefore, this study improved the formula for calculating the deviation in the timing of annual extreme water conditions. Moreover, we proposed a novel framework for quantifying the impacts of dam construction, climate change, and land-use change on flow regime.
New hydrological insights for the region
The study observed significant alterations in the flow regime of the Ganjiang River Basin. These modifications were predominantly influenced by dam construction and climate change. Dam construction led to a notable increase in dry season flow and minimum flow indicators, while decreasing maximum flow indicators. Conversely, climate change resulted in a reduction of minimum flow indicators and an increase in maximum flow indicators. Climate change has also led to an increase in the frequency and duration of flow pulses. Intriguingly, dam construction and climate change played offsetting roles for 77 % of the indicators. Considering the global climate change context, judicious dam operation could to mitigate the impact of climate change on the flow regime.
{"title":"Novel framework for quantifying dam construction, climate change, and land-use change impacts on flow regime: A case study in Ganjiang River Basin, China","authors":"","doi":"10.1016/j.ejrh.2024.101918","DOIUrl":"10.1016/j.ejrh.2024.101918","url":null,"abstract":"<div><h3>Study region</h3><p>This study was conducted in the Ganjiang River Basin, situated in eastern China.</p></div><div><h3>Study focus</h3><p>Previous studies often quantified the impacts of climate change, land use, and dam construction on flow regime by only focusing on two of these factors at one time. In addition, the previous method used to quantify the deviation in the timing of annual extreme water conditions has a flaw. Therefore, this study improved the formula for calculating the deviation in the timing of annual extreme water conditions. Moreover, we proposed a novel framework for quantifying the impacts of dam construction, climate change, and land-use change on flow regime.</p></div><div><h3>New hydrological insights for the region</h3><p>The study observed significant alterations in the flow regime of the Ganjiang River Basin. These modifications were predominantly influenced by dam construction and climate change. Dam construction led to a notable increase in dry season flow and minimum flow indicators, while decreasing maximum flow indicators. Conversely, climate change resulted in a reduction of minimum flow indicators and an increase in maximum flow indicators. Climate change has also led to an increase in the frequency and duration of flow pulses. Intriguingly, dam construction and climate change played offsetting roles for 77 % of the indicators. Considering the global climate change context, judicious dam operation could to mitigate the impact of climate change on the flow regime.</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824002672/pdfft?md5=54cd6688f4917c16372b5860d25c03ac&pid=1-s2.0-S2214581824002672-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141962336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}