Impact of Land Cover Changes on the Availability of Water Resources in the Regional Natural Park Serranía de Las Quinchas

Ortegón, Yuddy Alejandra Castro; Prado, Julio César Acosta; Castellanos, Pedro Mauricio Acosta

doi:10.3390/su14063237

Cited by 6 publications

(5 citation statements)

References 24 publications

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“…It was applied to predict uncertainties of future runoff under LULC and climate changes. The overall procedures are presented as follows: (1) collecting data (i.e., Digital Elevation Model; DEM, Soil series, LULC, Weather information, Runoff data), (2) studying the general condition of the Pak Phanang River Basin in Nakhon Si Thammarat Province, (3) analyzing and preparing the required data in the SWAT model, (4) importing the data into the SWAT model, (5) studying the sensitivity of the parameters in the SWAT model, (6) calibrating the model, (7) testing the reliability of the model, and (8) applying the model under changing future conditions. This study projected future LULC changes from the past to present land-use projections.…”

Section: Methodsmentioning

confidence: 99%

“…The Intergovernmental Panel on Climate Change (IPCC) report (2020) shows that the global temperature has increased by about 1.1 • C from 1850 to 1900, and it is expected to reach 1.5 • C or more in the next 20 years. Numerous studies have investigated the impact of global warming on water resources, particularly surface runoff [3][4][5][6][7]. Climaterelated factors such as air temperature, relative humidity, water evaporation rate, and wind speed can contribute to water evaporation.…”

Section: Introductionmentioning

confidence: 99%

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Water Yield Alteration in Thailand’s Pak Phanang Basin Due to Impacts of Climate and Land-Use Changes

et al. 2022

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Climate and land-use change are important factors in the hydrological process. Climatic and anthropic changes have played a crucial role in surface runoff changes. The objective of this research was to apply land-use change and future climate change to predict runoff change in the Pak Phanang River Basin. The Cellular Automata (CA)-Markov model was used to predict the land-use change, while the climate data from 2025 to 2085 under RPC2.6, RPC4.5, and RPC8.5 were generated using the MarkSim model. Additionally, the Soil and Water Assessment Tool (SWAT) combined land-use change and the generated meteorological data to predict the runoff change in the study area. The results showed that the annual runoff in the area would increase in the upcoming year, which would affect the production of field crops in the lowland area. Therefore, a good water drainage system is required for the coming years. Since the runoff would be about 50% reduced in the middle and late 21st century, an agroforestry system is also suggested for water capturing and reducing soil evaporation. Moreover, the runoff change’s overall impact was related to GHG emissions. This finding will be useful for the authorities to determine policies and plans for climate change adaptation in the Malay Peninsula.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Water Yield Alteration in Thailand’s Pak Phanang Basin Due to Impacts of Climate and Land-Use Changes

et al. 2022

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“…Other source-of-income activities to be found in drylands include cereal production such as wheat, barley and millet among others (17). Water resources may be assessed for water availability through analysis of historical and projected watershed characteristics such as land use/land cover (LULC) and water supply from rainfall and streamflow trends as well as their variability (8,18). Key water resources in drylands include rivers, dams and wells.…”

Section: Introductionmentioning

confidence: 99%

Impacts of Rainfall Variability on Streamflow in the Drylands of Northern Kenya: Assessing Water Availability under a Changing Climate

K. Rwigi,

O. Ouma,

O. Ogola

et al. 2024

ijcsrr

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Water availability is a function of climatic and land surface conditions, which determine the amount and distribution of atmospheric water as it reaches the surface. This largely depends on rainfall, whose variability affects water, food and livelihood security. This paper sought to quantify the effects of rainfall variability on water availability in an effort to support effective water resources management. Coefficient of Variation (CV), Standardized Anomaly Index (SAI) and Mann-Kendall trend test approaches were used to assess variability and trends, while correlation and regression analysis were employed to determine effects of rainfall variability on streamflow. A hydrological model, Soil and Water Assessment Tool (SWAT), was used to simulate streamflow with a view to assessing water availability under two climate change scenarios; Representative Concentration Pathways (RCP) 4.5 and 8.5. Results show that the area experiences moderate to extreme rainfall variability, as indicated by CV and SAI values that ranged from 20 to 99% and -2.5 to +3 respectively, resulting in moderate to extreme floods and droughts that often disrupt livelihoods. Current streamflow simulations (1981 – 2020) indicated increasing trends. Near and far future streamflow volumes will decrease by 15% during the April-May-June season while during October-November-December season they will increase by 13%, compared to the present. Increasing trends of rainfall and streamflow indicate that the area has opportunities for rainwater harvesting while the high variability indicates a need for early warning systems to cushion communities from climatic shocks evidenced by the impacts of climate extremes experienced in the area.

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“…Land use, described as the human exploitation and utilization of land resources (11), is an essential part of the terrestrial component of the hydrologic cycle. Changes in land use tend to alter land surface cover which has a significant influence on the catchment hydrology (12). Pressure on land resources for purposes of providing food, water, and shelter to the ever-growing human population has brought about notable changes in LULC with corresponding impacts on hydrological regimes of watershed areas (13)(14)(15)(16)(17)(18)(19).…”

Section: Introductionmentioning

confidence: 99%

Effects of Deforestation and Anthropogenic Aspects on Streamflow in the Mau Forest Catchments in Kenya: Hydrological Modelling of Surface Water Yields from Sondu River Basin

Rwigi,

J Kinyanjui,

Mutwiri

et al. 2024

ijcsrr

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Climatic factors determine the amount and distribution of atmospheric water received at the land surface while the land cover conditions determine the partitioning of this water into different hydrological components and ultimately the catchment surface water yields. This study assessed the effects of deforestation of a tropical catchment on surface water yields to address fluctuating flows of the rivers emanating from Mau Forest, the largest water tower in Kenya. Sondu basin traverses Southwest Mau Forest covering an area of 3500 km2. The main channel in the basin flows in a southwest direction into Lake Victoria in an altitudinal range of 2900 to 1130 m a.s.l over a length of 173 km. Different deforestation scenarios over the basin were integrated with climate data to form inputs to a hydrologic model, Soil and Water Assessment Tool (SWAT). Using model outputs, the effects of deforestation on annual and seasonal surface water yields, represented by changes in streamflow volumes under different deforestation scenarios, were evaluated. Deforestation scenarios were derived from a supervised classification scheme of time series of LANDSAT images (1970-2020) to show deforestation trends. Effects of deforestation on the catchment water-yielding capacity were estimated as the ratio of the difference between simulated yields under different deforestation scenarios and those simulated under the pre-deforestation scenario of the 1970s decade. Results show that forest cover declined by 21% and a corresponding growth in land under agriculture by 26% in the period 1970-2020. The decline in forest coverage resulted in an increase in the annual surface water yields of about 23% (from 152 to 187 MCM/year) throughout the period of study. This implies that there is less recharge of groundwater due to decreased infiltration and subsequent storage leading to lower flows during the dry seasons and increased flood frequencies in the basin during the wet seasons. The study has therefore, demonstrated that deforestation has reduced the stability of Mau Forest as a water tower and conservation of the forest will enhance its water-holding capacity thereby ensuring a stable water supply to rivers emanating from it as a way of combating floods and low flows in the basin. The resultant impacts on environment and society are displacements from floods and destruction of properties.

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Impact of Land Cover Changes on the Availability of Water Resources in the Regional Natural Park Serranía de Las Quinchas

Cited by 6 publications

References 24 publications

Water Yield Alteration in Thailand’s Pak Phanang Basin Due to Impacts of Climate and Land-Use Changes

Water Yield Alteration in Thailand’s Pak Phanang Basin Due to Impacts of Climate and Land-Use Changes

Impacts of Rainfall Variability on Streamflow in the Drylands of Northern Kenya: Assessing Water Availability under a Changing Climate

Effects of Deforestation and Anthropogenic Aspects on Streamflow in the Mau Forest Catchments in Kenya: Hydrological Modelling of Surface Water Yields from Sondu River Basin

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