Influence of land use changes on the remaining available aquifer storage (RAAS): A case study of the Taoerhe alluvial-proluvial fan

Wang, Zhe; Shu, Longcang; Xu, Pengcheng; Yin, Xiaoran; Lu, Chengpeng; Liu, Bo; Li, Yuxi

doi:10.1016/j.scitotenv.2022.157848

Cited by 4 publications

(2 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, predicting future LUCC under different scenarios and determining its impact on streamflow is important. The CA-Markov model, integrating Cellular Automata (CA) and the Markov Chain, is currently the most commonly used approach in predicting future land use [26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Assessing the Impacts of Future Climate and Land-Use Changes on Streamflow under Multiple Scenarios: A Case Study of the Upper Reaches of the Tarim River in Northwest China

Han,

Xue,

et al. 2023

Water

View full text Add to dashboard Cite

Climate change and land use/cover change (LUCC) are two major factors that alter hydrological processes. The upper reaches of the Tarim River, situated in the northwest region of China, experience a dry and less rainy climate and are significantly influenced by human activities. This study comprehensively assessed the impacts of individual and combined climate changes and LUCCs on streamflow. Three general circulation models (GCMs) were utilized to predict future climate changes under three shared socioeconomic pathways (SSP119, SSP245, and SSP585). Cellular Automata–Markov (CA–Markov) was employed to predict future LUCC under three scenarios (i.e., ecological protection, historical trend, and farmland development). Streamflow for the period 2021–2050 was simulated using the calibrated MIKE SHE model with multiple scenarios. The results showed that from 2021 to 2050, increments in both average annual precipitation and average annual temperature under the three SSPs were predicted to lead to an increased streamflow. In comparison to the conditions observed in 2000, under three LUCC scenarios for 2030, the grassland area decreased by 1.04% to 1.21%, while the farmland area increased by 1.97% to 2.26%, resulting in reduced streamflow. The related changes analysis indicated that the variation in streamflow during winter is most significant, followed by spring. The study predicted that climate change would increase streamflow, while LUCC would decrease it. Due to the greater impact of LUCC, considering the combined effect of both factors, runoff would decrease. The contribution analysis indicated that climate change contributed between −7.16% and −18.66%, while LUCC contributed between 107.16% and 118.66%.

show abstract

Section: Introductionmentioning

confidence: 99%

Assessing the Impacts of Future Climate and Land-Use Changes on Streamflow under Multiple Scenarios: A Case Study of the Upper Reaches of the Tarim River in Northwest China

Han,

Xue,

et al. 2023

Water

View full text Add to dashboard Cite

show abstract

“…Humans to meet their needs often make changes to the environment [5,6]. This causes changes in the environmental response to natural phenomena that occur [7][8][9]. Human activities to meet their daily needs often make changes to land cover which will have an impact on microclimate changes due to the reduction in the area of primary and secondary forests [10,11].…”

Section: Introductionmentioning

confidence: 99%

Spatial Model of Flood Hazard Due to Land Cover Change in the Tarusan Watershed, West Sumatra –Indonesia

2023

GEOMATE

View full text Add to dashboard Cite

Spatial modeling of flood hazards in the Tarusan Watershed of West Sumatra has the objectives of modeling land cover changes from 2019-2029-2039, flood numerical models, and hybrid spatial models of flood hazards. The methods used in this research are quantitative methods and field surveys to determine the accuracy of the modeling results. The results showed that land cover changes in the Tarusan Watershed experienced a decrease in land cover changes, namely primary forest and secondary forest land cover, while a land cover that experienced an increase in area was oil palm land cover and fields. The numerical model of flooding in the Tarusan Watershed shows that the peak of the flood (Qp) takes 3.12 hours, the time required to reduce the flood discharge (Tp+0.3) is which is 7.69 hours, and the time required to reduce the flood discharge (Tp+0.3+1.5T0.3) is 14.54 hours. The results of the hybrid spatial modeling of flood hazards in the Tarusan Watershed from 2019 to 2039 have undergone extensive changes. Changes in the area affected by floods from 2019 to 2029 are 323.91 ha, and changes (prediction) in the area affected by floods from 2029 to 2039 are 242.58 ha Land cover changes from 2019 to 2029 affect flood discharge by 5.65%, and land cover changes from 2029 to 2039 affect flood discharge by 8.55%. For flood disaster mitigation efforts, it is necessary to have information to the community living in the Tarusan Watershed that a flood disaster will occur if the rainfall intensity is more than 50 mm/hour with a duration of 1.11 hours, then the time needed to reach the peak of the flood is 3.12 hours, so that the community can anticipate the losses that will arise from the flood disaster

show abstract

Characteristics of Nitrate Enrichment in the Alluvial–Diluvial Fan of the Northern North China Plain: Evidence from Hydrogeochemistry and Isotopes

Wu,

Tang,

et al. 2024

Preprint

View full text Add to dashboard Cite

Influence of land use changes on the remaining available aquifer storage (RAAS): A case study of the Taoerhe alluvial-proluvial fan

Cited by 4 publications

References 51 publications

Assessing the Impacts of Future Climate and Land-Use Changes on Streamflow under Multiple Scenarios: A Case Study of the Upper Reaches of the Tarim River in Northwest China

Assessing the Impacts of Future Climate and Land-Use Changes on Streamflow under Multiple Scenarios: A Case Study of the Upper Reaches of the Tarim River in Northwest China

Spatial Model of Flood Hazard Due to Land Cover Change in the Tarusan Watershed, West Sumatra –Indonesia

Characteristics of Nitrate Enrichment in the Alluvial–Diluvial Fan of the Northern North China Plain: Evidence from Hydrogeochemistry and Isotopes

Contact Info

Product

Resources

About