Climate and land use effects on hydrologic processes and water allocation in a primarily rain-fed, agricultural watershed

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.

Hydrology ◽  
2018 ◽  
Vol 6 (1) ◽  
pp. 2 ◽  
Author(s):  
Kinati Chimdessa ◽  
Shoeb Quraishi ◽  
Asfaw Kebede ◽  
Tena Alamirew

In the Didessa river basin, which is found in Ethiopia, the human population number is increasing at an alarming rate. The conversion of forests, shrub and grasslands into cropland has increased in parallel with the population increase. The land use/land cover change (LULCC) that has been undertaken in the river basin combined with climate change may have affected the Didessa river flow and soil loss. Therefore, this study was designed to assess the impact of LULCC on the Didessa river flow and soil loss under historical and future climates. Land use/land cover (LULC) of the years 1986, 2001 and 2015 were independently combined with the historical climate to assess their individual impacts on river flow and soil loss. Further, the impact of future climates under Representative Concentration Pathways (RCP2.6, RCP4.5 and RCP8.5) scenarios on river flow and soil loss was assessed by combining the pathways with the 2015 LULC. A physically based Soil and Water Assessment Tool (SWAT2012) model in the ArcGIS 10.4.1 interface was used to realize the purpose. Results of the study revealed that LULCC that occurred between 1986 and 2015 resulted in increased average sediment yield by 20.9 t ha−1 yr−1. Climate change under RCP2.6, RCP4.5 and RCP8.5 combined with 2015 LULC increased annual average soil losses by 31.3, 50.9 and 83.5 t ha−1 yr−1 compared with the 2015 LULC under historical climate data. It was also found that 13.4%, 47.1% and 87.0% of the total area may experience high soil loss under RCP2.6, RCP4.5 and RCP8.5, respectively. Annual soil losses of five top-priority sub catchments range from 62.8 to 57.7 per hectare. Nash Stuncliffe Simulation efficiency (NSE) and R2 values during model calibration and validation indicated good agreement between observed and simulated values both for flow and sediment yield.


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.


2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Chenchen Shi ◽  
Jinyan Zhan ◽  
Yongwei Yuan ◽  
Feng Wu ◽  
Zhihui Li

Ecosystem services are the benefit human populations derive directly and indirectly from the natural environment. They suffer from both the human intervention, like land use zoning change, and natural intervention, like the climate change. Under the background of climate change, regulation services of ecosystem could be strengthened under proper land use zoning policy to mitigate the climate change. In this paper, a case study was conducted in the middle reaches of the Heihe River Basin to assess the ecosystem services conservation zoning under the change of land use associated with climate variations. The research results show the spatial impact of land use zoning on ecosystem services in the study area which are significant reference for the spatial optimization of land use zoning in preserving the key ecosystem services to mitigate the climate change. The research contributes to the growing literature in finely characterizing the ecosystem services zones altered by land use change to alleviate the impact of climate change, as there is no such systematic ecosystem zoning method before.


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.


2020 ◽  
Author(s):  
Andres Goyburo ◽  
Pedro Rau ◽  
Waldo Lavado ◽  
Fabian Drenkhan ◽  
Wouter Buytaert

<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>


2020 ◽  
Vol 12 (16) ◽  
pp. 6423
Author(s):  
Lanhua Luo ◽  
Qing Zhou ◽  
Hong S. He ◽  
Liangxia Duan ◽  
Gaoling Zhang ◽  
...  

Quantitative assessment of the impact of land use and climate change on hydrological processes is of great importance to water resources planning and management. The main objective of this study was to quantitatively assess the response of runoff to land use and climate change in the Zhengshui River Basin of Southern China, a heavily used agricultural basin. The Soil and Water Assessment Tool (SWAT) was used to simulate the river runoff for the Zhengshui River Basin. Specifically, a soil database was constructed based on field work and laboratory experiments as input data for the SWAT model. Following SWAT calibration, simulated results were compared with observed runoff data for the period 2006 to 2013. The Nash-Sutcliffe Efficiency Coefficient (NSE) and the correlation coefficient (R2) for the comparisons were greater than 0.80, indicating close agreement. The calibrated models were applied to simulate monthly runoff in 1990 and 2010 for four scenarios with different land use and climate conditions. Climate change played a dominant role affecting runoff of this basin, with climate change decreasing simulated runoff by −100.22% in 2010 compared to that of 1990, land use change increasing runoff in this basin by 0.20% and the combination of climate change and land use change decreasing runoff by 60.8m3/s. The decrease of forestland area and the corresponding increase of developed land and cultivated land area led to the small increase in runoff associated with land use change. The influence of precipitation on runoff was greater than temperature. The soil database used to model runoff with the SWAT model for the basin was constructed using a combination of field investigation and laboratory experiments, and simulations of runoff based on that new soil database more closely matched observations of runoff than simulations based on the generic Harmonized World Soil Database (HWSD). This study may provide an important reference to guide management decisions for this and similar watersheds.


2021 ◽  
Vol 13 (11) ◽  
pp. 6005
Author(s):  
Gimoon Jeong ◽  
Doosun Kang

Rational water resource management is used to ensure a stable supply of water by predicting the supply of and demand for future water resources. However, rational water allocation will become more difficult in the future owing to the effects of climate change, causing water shortages and disputes. In this study, an advanced hydro-economic water allocation and management model (WAMM) was introduced by improving the optimization scheme employed in conventional models and incorporating the economic value of water. By relying upon economic valuation, the WAMM can support water allocation efforts that focus not only on the stability but also on the economic benefits of water supply. The water supply risk was evaluated following the different objective functions and optimization methods provided by the WAMM using a case study of the Namhan River basin in South Korea under a climate change scenario over the next 30 years. The water shortages and associated economic damage were compared, and the superior ability of WAMM to mitigate future water shortages using economic valuation and full-step linear programming (FSLP) optimization was demonstrated. It is expected that the WAMM can be applied to help resolve water shortages and disputes among river basin units under severe drought conditions.


Author(s):  
J. S. Wu ◽  
Y. P. Li ◽  
J. Sun ◽  
P. P. Gao ◽  
G. H. Huang ◽  
...  

Abstract A multiple scenario-based ensemble prediction (MSEP) method is developed for exploring the impacts of climate and land-use changes on runoff in the Naryn River Basin. MSEP incorporates multiple global climate models, Cellular Automata–Markov and Soil and Water Assessment Tool (SWAT) within a general framework. MSEP can simultaneously analyze the effects of climate and land-use changes on runoff, as well as provide multiple climate and land-use scenarios to reflect the associated uncertainties in runoff simulation and prediction. Totally 96 scenarios are considered to analyze the trend and range of future runoff. Ensemble prediction results reveal that (i) climate change plays a leading role in runoff variation; (ii) compared to the baseline values, peak flow would increase 36.6% and low flow would reduce 36.8% by the 2080s, which would result in flooding and drought risks in the future and (iii) every additional hectare of arable land would increase the water deficit by an average of 10.9 × 103 m3, implying that the arable land should be carefully expanded in the future. Results suggest that, to mitigate the impact of climate change, the rational control of arable land and the active promotion of irrigation efficiency are beneficial for water resources management and ecological environmental recovery.


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