scholarly journals Effects of climate change on agriculture water demand in lower Pak Phanang river basin, southern part of Thailand

2018 ◽  
Vol 192 ◽  
pp. 03043
Author(s):  
Natapon Kaewthong ◽  
Pakorn Ditthakit

The aim of the research is to analyse the effects on agricultural water demand in the Lower Pak Phanang River Basin area due to climate change. The climate data used in the analysis were rainfall, maximum, minimum, and average temperatures. The climate datasets were obtained from statistical downscaling of global circulation model under the CMIP5 project by means of bias correction with Optimizing Quantile Mapping implemented by the Hydro and Agro Informatics Institute. To determine agriculture water demand, reference evapotranspiration (ETo) based on Hargreaves method was calculated for both baseline climate data (1987-2015) and forecasted climate data in 2038. For agriculture water demand in the Pak Phanang river basin, we considered paddy field, palm oil, rubber, grapefruit, orchard, vegetable, ruzy and biennial crop, based on land use data of the Land Development Department of Thailand in 2012. The results showed that forecasted agriculture water demand in 2038 with existing land use data in 2012 will be increased with the average of 18.9% or 61.78 MCM as compared to baseline climate condition. Both water demand and supply management measures would be suitably prepared before facing unexpected situation.

2021 ◽  
Author(s):  
Anna Maria De Girolamo ◽  
Youssef Brouziyne ◽  
Lahcen Benaabidate ◽  
Aziz Aboubdillah ◽  
Ali El Bilali ◽  
...  

<p>The non-perennial streams and rivers are predominant in the Mediterranean region and play an important ecological role in the ecosystem diversity in this region. This class of streams is particularly vulnerable to climate change effects that are expected to amplify further under most climatic projections. Understanding the potential response of the hydrologic regime attributes to climatic stress helps in planning better conservation and management strategies. Bouregreg watershed (BW) in Morocco, is a strategic watershed for the region with a developed non-perennial stream network, and with typical assets and challenges of most Mediterranean watersheds. In this study, a hybrid modeling approach, based on the Soil and Water Assessment Tool (SWAT) model and Indicator of Hydrologic Alteration (IHA) program, was used to simulate the response of BW's stream network to climate change during the period: 2035-2050. Downscaled daily climate data from the global circulation model CNRM-CM5 were used to force the hybrid modeling framework over the study area. Results showed that, under the changing climate, the magnitude of the alteration will be different across the stream network; however, almost the entire flow regime attributes will be affected. Under the RCP8.5 scenario, the average number of zero-flow days will rise up from 3 to 17.5 days per year in some streams, the timing of the maximum flow was calculated to occur earlier by 17 days than in baseline, and the timing of the minimal flow should occur later by 170 days in some streams. The used modeling approach in this study contributed in identifying the most vulnerable streams in the BW to climate change for potential prioritization in conservation plans.</p>


2018 ◽  
Vol 11 (3-4) ◽  
pp. 25-36 ◽  
Author(s):  
Berny Bisselink ◽  
Ad de Roo ◽  
Jeroen Bernhard ◽  
Emiliano Gelati

Abstract This paper presents a state-of-the-art integrated model assessment to estimate the impacts of the 2°C global mean temperature increase and the 2061-2090 warming period on water scarcity in the Danube River Basin under the RCP8.5 scenario. The Water Exploitation Index Plus (WEI+) is used to calculate changes in both spatial extent and people exposed to water scarcity due to land use, water demand, population and climate change. Despite model and data uncertainties, the combined effects of projected land use, water demand and climate change show a decrease in the number of people exposed to water scarcity during the 2°C warming period and an increase in the 2061-2090 period in the Danube River Basin. However, the projected population change results in a decrease of exposed people in both warming periods. Regions with population growth, in the northwestern part of the Danube River Basin experience low water scarcity or a decrease in water scarcity. The largest number of people vulnerable to water scarcity within the Danube River Basin are living in the Great Morava, Bulgarian Danube and Romanian Danube. There, the combined effects of land use, water demand and climate change exacerbate already existing water scarce areas during the 2°C warming period and towards the end of the century new water scarce areas are created. Although less critical during the 2°C warming period, adjacent regions such as the Tisza, Middle Danube and Siret-Prut are susceptible to experience similar exposure to water scarcity within the 2061-2090 period. Climate change is the most important driver for the increase in water scarcity in these regions, but the strengthening effect of water demand (energy sector) and dampening effect of land use change (urbanization) does play a role as well. Therefore, while preparing for times of increased pressures on the water supply it would be advisable for several economic sectors to explore and implement water efficiency measures.


Author(s):  
Sujeet Desai ◽  
D. K. Singh ◽  
Adlul Islam ◽  
A. Sarangi

Abstract Climate change impact on the hydrology of the Betwa river basin, located in the semi-arid region of Central India, was assessed using the Soil and Water Assessment Tool (SWAT), driven by hypothetical scenarios and Model of Interdisciplinary Research on Climate version 5 (MIROC5) Global Circulation Model projections. SWAT-Calibration and Uncertainty Programs (SWAT-CUP) was used for calibration and validation of SWAT using multi-site streamflow data. The coefficient of determination, Nash–Sutcliffe efficiency, RMSE-observations standard deviation ratio and percent bias during calibration and validation period varied from 0.83–0.92, 0.6–0.91, 0.3–0.63 and −19.8–19.3, respectively. MIROC5 projections revealed an increase in annual mean temperature in the range of 0.7–0.9 °C, 1.2–2.0 °C and 1.1–3.1 °C during the 2020s, 2050s, and 2080s, respectively. Rainfall is likely to increase in the range of 0.4–9.1% and 5.7–15.3% during the 2050s and 2080s, respectively. Simulation results indicated 3.8–29% and 12–48% increase in mean annual surface runoff during the 2050s and 2080s, respectively. Similarly, an increase of 0.2–3.0%, 2.6–4.2% and 3.5–6.2% in mean annual evapotranspiration is likely during the 2020s, 2050s and 2080s, respectively. These results could be used for developing suitable climate change adaptation plans for the river basin.


2011 ◽  
Vol 347-353 ◽  
pp. 1964-1972
Author(s):  
Hua Qi Wang ◽  
Mao Sheng Zhang ◽  
Xue Ya Dang ◽  
Hua Zhu

This paper reports on the method of linking climate change scenarios with hydrologic and agricultural theory to study agriculture water demand under changing climate conditions, which is applied in Shiyang River basin, in Northwest China. We calculate agriculture water demand by use of Penman-Monteith formula and field water balance theory, droved by climate factors. This paper concludes that, the response of agriculture water demand to climate change exists, but the climate change can’t vary the basic law of water resources system; reference evapotranspiration (ET0) and temperature represent positive correlation, moreover, agriculture water demand and temperature also exist positive correlation, however, agriculture water demand and precipitation show the evident negative correlation; the influence of agriculture water demand which induced by temperature increase or decrease 1°C is larger than that induced by precipitation increasing or decreasing 10%; the influence range of agriculture water demand which induced by precipitation decrease is larger than that induced by precipitation increase; the influence range of agriculture water demand which induced in the guarantee rate of 75% is larger than that which induced in the guarantee rate of 50%; in additionally, the influence range of agriculture water demand in 2020 is larger than that in 2010. Therefore, in these relatively water shortage areas, changes in agriculture water demand due to climate change will require timely improvement in crop cultivars, irrigation and drainage technology, and water management.


2018 ◽  
Author(s):  
◽  
Quang Anh Phung

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] There is a need to raise our understanding of the impact of climate variability and change on hydrologic processes at the watershed scale. This is important, particularly for land managers and policymakers, in making better-informed decisions to assess adaptation strategies and to ensure that all sectors and populations can meet projected water demand. The Missouri Salt River Basin was chosen for this study due to its unique soil and agriculture-dominated land use. It is dominated by high clay content soils, making it sensitive to changes in the hydrologic condition. While numerous studies have examined hydrologic processes around this region, only a few have analyzed linkages between climate and the consequence of these changes to water allocation. One of the greatest potentials to maintain viable crop and livestock economies is to continue making gains in production efficiency, particularly in the area of rain-fed crops with the potential of increasing irrigation. Therefore, the objective of this study is to: (1) evaluate the impacts of potential climate and land use changes on the hydrologic components of the agriculturally dominated Salt River Basin; (2) evaluate the impact of climate change to agriculture management in this watershed, and determine if land use change can mitigate the climate change impacts on hydrological processes; (3) evaluate the impacts of potential climate changes on the water supply and demand of the Salt River Basin using integrated hydrological model and water allocation model approach; (4) determine if future water supply can meet the Salt River Basin catchment demands, and evaluate the future water competition among different sectors in the Salt River Basin using scenario based approach. Temperature and precipitation projections for two representative concentration pathways (RCP 4.5 moderate CO[2] level and RCP 8.5 high CO[2] level) were obtained from nineteen general circulation models statistically downscaled to better represent local conditions. These data, along with soils, land cover, land management, and topography, were input to the Soil and Water Assessment Tool (SWAT), a process-based hydrologic simulation model, to evaluate hydrologic impacts. Possible outcomes for the near (2020-2039) and far (2040-2059) future scenarios were determined. Combined climate and land use change scenarios showed distinct annual and seasonal variations in hydrological processes. Annual precipitation was projected to increase from 4% to 7%, which resulted in 14% more spring days with soil water content equal or exceeding field capacity in mid-century. However, 07 precipitation was projected to decrease -- a critical factor for crop growth. Higher temperatures led to increased potential vapotranspiration during the growing season, resulting in an increased need for irrigation by 38 mm. Analysis from multiple land use scenarios indicated that converting crop and pasture land to forest coverage can potentially mitigate the effects of climate change on streamflow, thus insuring future water availability. Using hydrologic output simulations from SWAT, evaluation of water allocation strategies was performed using the water evaluation and planning (WEAP) model. By selecting priority water use strategies, WEAP enabled review of potential conflicts among users through scenario-based approaches. Operating on the principle of water balance accounting, a range of inter-related water issues facing water users, including multiple water sources, sectoral demand analyses, water conservation, water allocation priorities, and general reservoir operations, were evaluated. For this study, scenarios with different rate of irrigation expansion for crop areas were evaluated. The Ag Census data from 1997, 2002, and 2007 were analyzed to obtain the historical reported numbers of livestock in each county within the watershed. The historical livestock numbers combined with USDA agricultural projections to 2027 were used to project inventory for 2060. The results indicated that future water shortages will become more prominent in the SRB under projected climate conditions. Without any change irrigation area, the future unmet could double as a consequence of climate change from 3 million m3 to 6 million m3. Increased irrigation equal 10% of crop land results in 38.5 million m3 of unmet water demand. If water from Mark Twain can be withdrawn for agriculture purposes, the unmet demand would lower by 30% compared with the baseline period. However, under prolonged drought period, the impact of the Mark Twain Lake is limited. Finally, under all considered scenarios public water supply is not a source of water vulnerability in this region.


Water ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1548
Author(s):  
Suresh Marahatta ◽  
Deepak Aryal ◽  
Laxmi Prasad Devkota ◽  
Utsav Bhattarai ◽  
Dibesh Shrestha

This study aims at analysing the impact of climate change (CC) on the river hydrology of a complex mountainous river basin—the Budhigandaki River Basin (BRB)—using the Soil and Water Assessment Tool (SWAT) hydrological model that was calibrated and validated in Part I of this research. A relatively new approach of selecting global climate models (GCMs) for each of the two selected RCPs, 4.5 (stabilization scenario) and 8.5 (high emission scenario), representing four extreme cases (warm-wet, cold-wet, warm-dry, and cold-dry conditions), was applied. Future climate data was bias corrected using a quantile mapping method. The bias-corrected GCM data were forced into the SWAT model one at a time to simulate the future flows of BRB for three 30-year time windows: Immediate Future (2021–2050), Mid Future (2046–2075), and Far Future (2070–2099). The projected flows were compared with the corresponding monthly, seasonal, annual, and fractional differences of extreme flows of the simulated baseline period (1983–2012). The results showed that future long-term average annual flows are expected to increase in all climatic conditions for both RCPs compared to the baseline. The range of predicted changes in future monthly, seasonal, and annual flows shows high uncertainty. The comparative frequency analysis of the annual one-day-maximum and -minimum flows shows increased high flows and decreased low flows in the future. These results imply the necessity for design modifications in hydraulic structures as well as the preference of storage over run-of-river water resources development projects in the study basin from the perspective of climate resilience.


2021 ◽  
Author(s):  
Chukwudi Njoku ◽  
Francis Okpiliya ◽  
Joel Efiong ◽  
Chinwe Ifejika Speranza

<p>Violent conflicts related to pastoralists-farmers’ interactions in Nigeria have assumed an unprecedented dimension, causing loss of lives and livelihoods. The mid-Benue trough (Benue and Taraba States) has suffered most from the conflicts. This study aims to provide knowledge on the socio-ecological drivers of pastoralists-farmers’ conflicts in the mid-Benue trough from the year 2000 to 2020 and to identify pathways to solving them. First, data from the Armed Conflict Location and Event Data Project were used to map the conflicts. Second, to understand the nexus of climate change, land use and the conflicts, the study analyzed satellite data of Land Surface Temperature (LST) as a proxy for climate change, using data from the Moderate-Resolution Imaging Spectroradiometer (MODIS) satellite and Land Use Land Cover (LULC), using LandSat 7 ETM and LandSat 8 ETM+ data, then linked them to the mapped conflicts. Third, to understand causes and impacts of the conflict on pastoralists and farmers’ livelihoods, 100 interviews were conducted, 50 for each group and analyzed using content analysis and descriptive statistics. Results showed that there were 2532 fatalities from 309 conflict events between pastoralists and farmers. The incidents exhibited statistically significant clustering and were minimal between the year 2000 and 2012, increasing gradually until the year 2013 when it began to rise geometrically. The Getis-Ord Gi hotspot analysis revealed the conflict hotspots to include Agatu, Oturkpo, Gwer East and Gashaka Local Government Areas. The results from the LST analysis showed that the area coverage of high LST increased from 30 percent in 2000 to 38 percent in 2020, while extremely high LST area also increased from 14 to 16 percent. A significantly high percentage of the conflicts (87 percent) occurred in areas with high LST (>30⁰C). In addition, the LULC analyses showed that built-up land area increased by 35 km<sup>2 </sup>(0.1 percent) and dense forests reduced by 798 km<sup>2</sup> (0.1 percent). Notably, shrublands and grasslands, which are the resource domains of the pastoralists reduced by 11,716 km<sup>2  </sup>(13.1 percent) and croplands of farmers increased by 12,316 km<sup>2 </sup>(13.8 percent)<strong>. </strong>This presents an apparent transition of LULC from shrublands and grasslands to croplands in the area. Further analyses showed that 63 percent of the conflicts occurred in croplands and 16 percent in shrublands and grasslands. Hence, the reduction of land resource available to pastoralists and their subsequent cropland encroachment were identified as major causes of the conflict. It was therefore concluded that land development for other purposes is a major driver of pastoralists-farmers’ conflicts in the study area. There is thus a need to integrate conflict maps, LST and LULC dynamics to support dialogue, land use planning and policy formulation for sustainable land management to guide pastoral and farming activities.</p>


2021 ◽  
Author(s):  
David J. Peres ◽  
Alfonso Senatore ◽  
Paola Nanni ◽  
Antonino Cancelliere ◽  
Giuseppe Mendicino ◽  
...  

<p>Regional climate models (RCMs) are commonly used for assessing, at proper spatial resolutions, future impacts of climate change on hydrological events. In this study, we propose a statistical methodological framework to assess the quality of the EURO-CORDEX RCMs concerning their ability to simulate historic observed climate (temperature and precipitation). We specifically focus on the models’ performance in reproducing drought characteristics (duration, accumulated deficit, intensity, and return period) determined by the theory of runs at seasonal and annual timescales, by comparison with high-density and high-quality ground-based observational datasets. In particular, the proposed methodology is applied to the Sicily and Calabria regions (Southern Italy), where long historical precipitation and temperature series were recorded by the ground-based monitoring networks operated by the former Regional Hydrographic Offices. The density of the measurements is considerably greater than observational gridded datasets available at the European level, such as E-OBS or CRU-TS. Results show that among the models based on the combination of the HadGEM2 global circulation model (GCM) with the CLM-Community RCMs are the most skillful in reproducing precipitation and temperature variability as well as drought characteristics. Nevertheless, the ranking of the models may slightly change depending on the specific variable analysed, as well as the temporal and spatial scale of interest. From this point of view, the proposed methodology highlights the skills and weaknesses of the different configurations, aiding on the selection of the most suitable climate model for assessing climate change impacts on drought processes and the underlying variables.</p>


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