scholarly journals Water supply failure probability under influence of climate change—Balsillas river basin case study

2020 ◽  
Author(s):  
Darwin Mena Rentería ◽  
Eydy Michell Espinosa ◽  
Paula Carolina Soler ◽  
Miguel Cañón Ramos ◽  
Freddy Santiago Duarte ◽  
...  
Keyword(s):  
Climate Change ◽  
Water Supply ◽  
Water Resource Management ◽  
Agricultural Sector ◽  
Hydrological Modeling ◽  
Climate Model ◽  
Global Climate Model ◽  
Climate Change Scenarios ◽  
Modeling Tools ◽  
Basin Scale

This project assesses the risk of water supply failure for the agricultural sector under climate change conditions by implementing hydrological models that support decision-making for satisfying consumptive demands in times of scarcity. This project was developed using hydrological modeling tools such as the HydroBID software and the SIMGES and SIMRISK water resource management models of AQUATOOL DSS. The flow series for a current scenario were obtained for different climate change scenarios from a Global Climate Model (GCM) and the Coordinated Regional Experiment on Climate Reduction (CORDEX) by downscaling the results from the global scale to basin-scale using a statistical method based on chaos theory. These projections show that under conditions of climate change, the agricultural sector of the Balsillas basin will not suffer significant impacts since they will be able to satisfy most demand points.

scholarly journals Impacts of climate change on water resources in the major countries along the Belt and Road

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12201
Author(s):  
Panpan Du ◽  
Ming Xu ◽  
Renqiang Li
Keyword(s):  
Climate Change ◽  
Water Stress ◽  
Water Resources ◽  
Water Supply ◽  
Climate Model ◽  
Global Climate Model ◽  
Future Climate Change ◽  
Climate Change Scenarios ◽  
Belt And Road ◽  
The Belt And Road

Background Climate change has altered global hydrological cycles mainly due to changes in temperature and precipitation, which may exacerbate the global and regional water shortage issues, especially in the countries along the Belt and Road (B&R). Methods In this paper, we assessed water supply, demand, and stress under three climate change scenarios in the major countries along the Belt and Road. We ensembled ten Global Climate Model (GCM) runoff data and downscaled it to a finer resolution of 0.1° × 0.1° by the random forest model. Results Our results showed that the GCM runoff was highly correlated with the FAO renewable water resources and thus could be used to estimate water supply. Climate change would increase water supply by 4.85%, 5.18%, 8.16% and water demand by 1.45%, 1.68%, 2.36% under RCP 2.6, 4.5, and 8.5 scenarios by 2050s, respectively. As a result, climate change will, in general, have little impact on water stress in the B&R countries as a whole. However, climate change will make future water resources more unevenly distributed among the B&R countries and regions, exacerbating water stress in some countries, especially in Central Asia and West Asia. Our results are informative for water resource managers and policymakers in the B&R countries to make sustainable water management strategies under future climate change.

scholarly journals Statistical Downscaling and Hydrological Modeling-Based Runoff Simulation in Trans-Boundary Mangla Watershed Pakistan

Water ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3254
Author(s):  
Muhammad Yaseen ◽  
Muhammad Waseem ◽  
Yasir Latif ◽  
Muhammad Imran Azam ◽  
Ijaz Ahmad ◽  
...  
Keyword(s):  
Statistical Downscaling ◽  
Agricultural Sector ◽  
Hydrological Modeling ◽  
Climate Model ◽  
Global Climate Model ◽  
Maximum Temperature ◽  
Climate Change Scenarios ◽  
Runoff Simulation ◽  
Annual Minimum Temperature ◽  
The Future

The economy of Pakistan relies on the agricultural sector which mainly depends on the irrigation water generating from the upper Indus river basin. Mangla watershed is a trans-boundary basin which shares borders of India and Pakistan, it comprises five major sub-basins, i.e., Jhelum, Poonch, Kanshi, Neelum and Kunhar. The runoff production of this basin is largely controlled by snowmelt in combination with the winter precipitation in the upper part of the basin and summer monsoon. The present study focusses on the application of a statistical downscaling method to generate future climatic scenarios of climatic trends (temperature and precipitation) in Mangla watershed. Statistical Downscaling Model (SDSM) was applied to downscale the Hadley Centre Coupled Model, version 3, Global Climate Model (HadCM3-GCM) predictions of the A2 and B2 emission scenarios. The surface water analyst tool (SWAT) hydrological model was used for the future projected streamflows based on developing climate change scenarios by SDSM. The results revealed an increasing trend of annual maximum temperature (A2) at the rates of 0.4, 0.7 and 1.2 °C for the periods of 2020s, 2050s and 2080s, respectively. However, a consistent decreasing trend of temperature was observed at the high-altitude region. Similarly, the annual minimum temperature exhibited an increasing pattern at the rates of 0.3, 0.5 and 0.9 °C for the periods of 2020s, 2050s and 2080s, respectively. Furthermore, similar increases were observed for annual precipitation at the rates of 6%, 10%, and 19% during 2020, 2050 and 2080, respectively, for the whole watershed. Significant increasing precipitation trends in the future (2080) were observed in Kunhar, Neelum, Poonch and Kanshi sub-basins at the rates of 16%, 11%, 13% and 59%, respectively. Consequently, increased annual streamflow in the future at the rate of 15% was observed attributing to an increased temperature for snow melting in Mangla watershed. The similar increasing streamflow trend is consistent with the seasonal trends in terms of winter (16%), spring (19%) and summer (20%); however, autumn exhibited decreasing trend for all periods.

scholarly journals Flood risk assessment methodology for planning under climate change scenarios and the corresponding change in land cover

2019 ◽  
Vol 11 (4) ◽  
pp. 1370-1382 ◽  
Author(s):  
Asma Hanif ◽  
Ashwin Dhanasekar ◽  
Anthony Keene ◽  
Huishu Li ◽  
Kenneth Carlson
Keyword(s):  
Climate Change ◽  
Climate Model ◽  
Global Climate Model ◽  
The United States ◽  
Army Corps ◽  
Climate Projections ◽  
Climate Change Scenarios ◽  
Rcp Scenarios ◽  
Daily Precipitation Data ◽  
Time Frames

Abstract Projected climate change impacts on the hydrological regime and corresponding flood risks were examined for the years 2030 (near-term) and 2050 (long-term), under representative concentration pathways (RCP) 4.5 (moderate) and 8.5 (high) emission scenarios. The United States Army Corps of Engineers' (USACE) Hydrologic Engineering Center's Hydrologic Modeling System was used to simulate the complete hydrologic processes of the various dendritic watershed systems and USACEs' Hydrologic Engineering Center's River Analysis System hydraulic model was used for the two-dimensional unsteady flow flood calculations. Climate projections are based on recent global climate model simulations developed for the International Panel on Climate Change, Coupled Model Inter-comparison Project Phase 5. Hydrographs for frequent (high-recurrence interval) storms were derived from 30-year historical daily precipitation data and decadal projections for both time frames and RCP scenarios. Since the climate projections for each scenario only represented ten years of data, 100-year or 500-year storms cannot be derived. Hence, this novel approach of identifying frequent storms is used as an indicator to compare across the various time frames and climate scenarios. Hydrographs were used to generate inundation maps and results are used to identify vulnerabilities and formulate adaptation strategies to flooding at 43 locations worldwide.

scholarly journals Groundwater Nitrate Contamination Integrated Modeling for Climate and Water Resources Scenarios: The Case of Lake Karla Over-Exploited Aquifer

Water ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 1201 ◽  
Author(s):  
Pantelis Sidiropoulos ◽  
Georgios Tziatzios ◽  
Lampros Vasiliades ◽  
Nikitas Mylopoulos ◽  
Athanasios Loukas
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
Management Practices ◽  
Hydrological Modeling ◽  
Hydrological Cycle ◽  
Groundwater Resources ◽  
Future Climate Change ◽  
Agricultural Activity ◽  
Climate Change Scenarios ◽  
Modeling Tools

Groundwater quantity and quality degradation by agricultural practices is recorded as one of the most critical issues worldwide. This is explained by the fact that groundwater is an important component of the hydrological cycle, since it is a source of natural enrichment for rivers, lakes, and wetlands and constitutes the main source of potable water. The need of aquifers simulation, taking into account water resources components at watershed level, is imperative for the choice of appropriate restoration management practices. An integrated water resources modeling approach, using hydrological modeling tools, is presented for assessing the nitrate fate and transport on an over-exploited aquifer with intensive and extensive agricultural activity under various operational strategies and future climate change scenarios. The results indicate that climate change affects nitrates concentration in groundwater, which is likely to be increased due to the depletion of the groundwater table and the decrease of groundwater enrichment in the future water balance. Application of operational agricultural management practices with the construction and use of water storage infrastructure tend to compensate the groundwater resources degradation due to climate change impacts.

Evaluation of the impacts of climate change and land-use dynamics on water resources: The case of the Lobo River watershed: Central-Western Côte d'Ivoire

2021 ◽  
Author(s):  
Berenger Koffi ◽  
Zilé Alex Kouadio ◽  
Affoué Berthe Yao ◽  
Kouakou Hervé Kouassi ◽  
Martin Sanchez Angulo ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Water Resources ◽  
Water Resource Management ◽  
Climate Model ◽  
Regional Climate ◽  
Mean Annual Temperature ◽  
Climate Change Scenarios ◽  
River Watershed ◽  
Impacts Of Climate Change

<p>Meeting growing water needs in a context of increasing scarcity of resources due to climate change and changes in land use is a major challenge for developing countries in the coming years. The watershed of the Lobo river in Nibéhibé does not escape this dilemma. The water retention of the Lobo River and its watershed play an important role in the subsistence of the inhabitants of the region. However, the watershed is currently subject to strong human pressures mainly associated with the constant increase in human population and intensification of agricultural activities. The main objective of this study is to assess the impacts of climate change on the water resources of the Lobo River watershed at Nibéhibé in the central-western part of Côte d'Ivoire. Two climate change scenarios (RCP4.5 and RCP8.5) were established using the regional climate model RCA4 (Rossby Centre atmospheric model 4) and the flows under these scenarios were simulated by the hydrological model CEQUEAU with respect to a reference period (1986-2005). The RCA4 regional model predicts an increase of 1.27° C; 2.58° C in the horizon 2021-2040 and 2051-2070 in mean annual temperature. Rainfall would also experience a significant average annual decrease of about 6.51% and 11.15% over the period 2021-2040 and 2041-2070. As for the evolution of flows, the Cequeau model predicts a decrease in the runoff and infiltration of water on the horizon 2021-2040 and an increase in evapotranspiration over time according to the RCP4.5 scenario. However, the model predicts an increase in runoff at the expense of a decrease in REE and infiltration at the horizon 2040-2070 according to scenario RCP8.5. It appears from this study that surface flows and infiltrations, which constitute the water resources available to meet the water needs of the basin's populations, will be the most affected. The results obtained in this study are important and could contribute to guide decision making for sustainable water resource management.</p>

Present and future water security under socioeconomic and climate changes in the Vilcanota-Urubamba basin

2020 ◽  
Author(s):  
Andres Goyburo ◽  
Pedro Rau ◽  
Waldo Lavado ◽  
Fabian Drenkhan ◽  
Wouter Buytaert
Keyword(s):  
Climate Change ◽  
Water Supply ◽  
Water Demand ◽  
Hydrological Modeling ◽  
Hydrological Cycle ◽  
Water Security ◽  
Climate Change Scenarios ◽  
Glacier Melt ◽  
Current Water ◽  
The Impact

<p>This research assesses present (2009-2016) and future (until 2100) levels of water security taking into consideration socioeconomic and climate change scenarios using the WEAP (Water Evaluation and Planning) tool for semidistributed hydrological modeling. The study area covers the  Vilcanota-Urubamba basin in the southern Peruvian Andes and presents a complex water demand context as a glacier-fed system.</p><p>Current total water demand is estimated in 5.12E+9 m3/year and includes agriculture (6674.17 m3/year), domestic (7.79E+07m3/year), industrial (1.01E+06 m3/year) and energy (5.03e+9 m3/year) consumption. For assessing the current water supply, observed flow data is used to simulate and validate the model (also accounting for glacier melt contribution). The analysis of unmet water demand for the period 2016–2100 was computed using the soil moisture scheme of the WEAP model, which simulates the hydrological cycle and generates future scenarios for water demand. Different scenarios were generated for external driving factors (population growth and increasing agriculture area) and the impact of climate change to evaluate their effect on the current water supply system. </p><p>These results will allow for the first time to evaluate the impact of changes in glacier melt contributions on water security taking into account also changes in water demand.</p><p>This study also further explores the importance of incorporating science and policy within a broader study of water security. As a result, it is expected to deliver high spatial resolution water demand maps and adaptation strategies for stakeholders. This research is part of the RAHU project as a new multidisciplinary collaboration between UK and Peruvian scientists.</p>

scholarly journals Impacts of climate and catastrophic forest changes on streamflow and water balance in a mountainous headwater stream in Southern Alberta

2013 ◽  
Vol 17 (12) ◽  
pp. 4941-4956 ◽  
Author(s):  
V. Mahat ◽  
A. Anderson
Keyword(s):  
Climate Change ◽  
Climate Model ◽  
Global Climate ◽  
Global Climate Model ◽  
Similar Amount ◽  
Climate Change Scenarios ◽  
Climate Data ◽  
Stochastic Weather Generator ◽  
Precipitation Decrease ◽  
Southern Alberta

Abstract. Rivers in Southern Alberta are vulnerable to climate change because much of the river water originates as snow in the eastern slopes of the Rocky Mountains. Changes in likelihood of forest disturbance (wildfire, insects, logging, etc.) may also have impacts that are compounded by climate change. This study evaluates the impacts of climate and forest changes on streamflow in the upper parts of the Oldman River in Southern Alberta using a conceptual hydrological model, HBV-EC (Hydrologiska Byråns attenbalansavdelning, Environment Canada), in combination with a stochastic weather generator (LARS-WG) driven by GCM (global climate model) output climate data. Three climate change scenarios (A1B, A2 and B1) are selected to cover the range of possible future climate conditions (2020s, 2050s, and 2080s). The GCM projected less than a 10% increase in precipitation in winter and a similar amount of precipitation decrease in summer. These changes in projected precipitation resulted in up to a 200% (9.3 mm) increase in winter streamflow in February and up to a 63% (31.2 mm) decrease in summer flow in June. Flow also decreased in July and August, when irrigation is important; these reduced river flows during this season could impact agriculture production. The amplification in the streamflow is mostly driven by the projected increase in temperature that is predicted to melt winter snow earlier, resulting in lower water availability during the summer. Uncertainty analysis was completed using a guided GLUE (generalized likelihood uncertainty estimation) approach to obtain the best 100 parameter sets and associated ranges of streamflows. The impacts of uncertainty in streamflows were higher in spring and summer than in winter and fall. Forest change compounded the climate change impact by increasing the winter flow; however, it did not reduce the summer flow.

scholarly journals Geographic distribution of Desmodus rotundus in Mexico under current and future climate change scenarios: Implications for bovine paralytic rabies infection

2017 ◽  
Vol 4 (3) ◽  
Author(s):  
Heliot Zarza ◽  
Enrique Martínez-Meyer ◽  
Gerardo Suzán ◽  
Gerardo Ceballos
Keyword(s):  
Climate Change ◽  
Geographic Distribution ◽  
Current Distribution ◽  
Climate Model ◽  
Global Climate Model ◽  
Future Climate ◽  
Epidemiological Surveillance ◽  
Future Climate Change ◽  
Climate Change Scenarios ◽  
Desmodus Rotundus

Veterinaria México OA ISSN: 2448-6760Cite this as:Zarza H, Martínez-Meyer E, Suzán G, Ceballos G. Geographic distribution of Desmodus rotundus in Mexico under current and future climate change scenarios: Implications for bovine paralytic rabies infection. Veterinaria México OA. 2017;4(3). doi: 10.21753/vmoa.4.3.390.Climate change may modify the spatial distribution of reservoirs hosting emerging and reemerging zoonotic pathogens, and forecasting these changes is essential for developing prevention and adaptation strategies. The most important reservoir of bovine paralytic rabies in tropical countries, is the vampire bat (Desmodus rotundus). In Mexico, the cattle industry loses more than $2.6 million US dollar, annually to this infectious disease. Therefore, we predicted the change in the distribution of D. rotundus due to future climate change scenarios, and examined the likely effect that the change in its distribution will have on paralytic rabies infections in Mexico. We used the correlative maximum entropy based model algorithm to predict the potential distribution of D. rotundus. Consistent with the literature, our results showed that temperature was the variable most highly associated with the current distribution of vampire bats. The highest concentration of bovine rabies was in Central and Southeastern Mexico, regions that also have high cattle population densities. Furthermore, our climatic envelope models predicted that by 2050–2070, D. rotundus will lose 20 % of its current distribution while the northern and central regions of Mexico will become suitable habitats for D. rotundus. Together, our study provides an advanced notice of the likely change in spatial patterns of D. rotundus and bovine paralytic rabies, and presents an important tool for strengthening the National Epidemiological Surveillance System and Monitoring programmes, useful for establishing holistic, long-term strategies to control this disease in Mexico.Figure 4. Modelled suitability for future distribution of Desmodus rotundus according to Global Climate Model GFDL-CM3 for two time periods (2050 and 2070), and two Representative Concentration Pathways (RCP 4.5 and 8.5). Left-hand column shows suitability values, with blue indicating more suitable conditions.

scholarly journals An analysis of unmet water demand under climate change scenarios in the Gualí River Basin, Colombia, through the implementation of Hydro-BID and WEAP hydrological modeling tools

2019 ◽  
Author(s):  
Darwin Mena ◽  
Abel Solera ◽  
Lina Restrepo ◽  
Melissa Pimiento ◽  
Miguel Cañón ◽  
...  
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Hydrological Modeling ◽  
Planning System ◽  
Climate Change Scenarios ◽  
Limited Information ◽  
Modeling Tools ◽  
Modeling Tool ◽  
Hydrological Services ◽  
Real Challenge

Abstract Climate change can affect hydrological services in Andean basins, so a possible reduction in water supply can lead to not meeting the needs of different users, which has become a real challenge for decision-makers with regards to water management. This paper presents the results obtained from hydrological modeling exercises in the Gualí River Basin (Colombia) by combining the Hydro-BID modeling tool, which consists of an analytical hydrology database for Latin America and the Caribbean that provides a great advantage for countries with limited information and the Water Evaluation and Planning System (WEAP) modeling tool, in order to determine the potential impacts of climate change on unsatisfied demand for water in the basin. The results show a possible decrease in flow compared to current conditions; between 5.8% and 9.56% for CPR 2.6, and between 2.18% and 6.86% for CPR 8.5. The approach presented is useful to ensure that timely decisions are made to meet the demands of users under the conditions of climate change.

scholarly journals Impacts of climate and forest changes on streamflow and water balance in a mountainous headwater stream in Southern Alberta

2013 ◽  
Vol 10 (7) ◽  
pp. 8503-8536 ◽  
Author(s):  
V. Mahat ◽  
A. Anderson
Keyword(s):  
Climate Change ◽  
Climate Model ◽  
Global Climate ◽  
Global Climate Model ◽  
Similar Amount ◽  
Climate Change Scenarios ◽  
Climate Data ◽  
Stochastic Weather Generator ◽  
Precipitation Decrease ◽  
Southern Alberta

Abstract. Rivers in Southern Alberta are vulnerable to climate change because much of the river water originates as snow in the eastern slopes of the Rocky Mountains. Changes in likelihood of forest disturbance (wildfire, insects, logging, etc.) may also have impacts that are compounded by climate change. This study evaluates the impacts of climate and forest changes on streamflow in the upper parts of the Oldman River in Southern Alberta using a conceptual hydrological model, HBV-EC in combination with a stochastic weather generator (LARS-WG) driven by GCM (Global Climate Model) output climate data. Three climate change scenarios (A1B, A2 and B1) are selected to cover the range of possible future climate conditions (2020s, 2050s, and 2080s). GCM projected less than a 10% increase in precipitation in winter and a similar amount of precipitation decrease in summer. These changes in projected precipitation resulted in up to a 200% (9.3 mm) increase in winter streamflow in February and up to a 63% (31.2 mm) decrease in summer flow in June. This amplification is mostly driven by the projected increase in temperature that is predicted to melt winter snow earlier, possibly resulting in lower water availability in the snowmelt dominated regions during the summer. Uncertainty analysis was completed using a guided GLUE (generalized likelihood uncertainty estimation) approach to obtain the best 100 parameter sets and associated ranges of streamflows. The impacts of uncertainty were higher in spring and summer flows than in winter and fall flows. Forest change compounded the climate change impact by increasing winter flow; however, it did not reduce the summer flow.

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