Climate change;
Climate variability;
Western European Loess Belt;
Hydro-sedimentary modeling;
Scenarios;
Multi-scale analysis;
LOW-FREQUENCY VARIABILITY;
NORTH-ATLANTIC OSCILLATION;
RIVER FLOW FRANCE;
LAND-USE;
RAINFALL VARIABILITY;
SENSITIVITY-ANALYSIS;
EVOLUTION MODEL;
SOIL-EROSION;
IMPACT;
CATCHMENT;
D O I:
10.1016/j.scitotenv.2023.166536
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
Runoff and soil erosion are very pronounced in the Western European Loess Belt. In this study, the distributed physically-based model CLiDE is calibrated, validated, and applied to a catchment of this area (Dun, NW, France) to assess the hydro-sedimentary impacts of climate change scenarios. Despite considerable progress over the last decade in the study of runoff and soil erosion in the context of climate change, the effects of changes in the temporal variability of precipitation remain poorly understood, especially at the scale of a river basin. To examine these relationships more closely, we developed a stochastic weather generator to individually adjust the components that structure the temporal variability of rainfall. The climate scenarios considered represent projections to the year 2100 of the temporal variability of rainfall over NW Europe. The scenarios are based on historical daily rainfall records (1990-2012) and 4 exploratory assumptions: a 50 % decrease in the interannual rainfall regime (scenario 6yD), a 100 % increase in the interannual rainfall regime (scenario 6yI), a 50 % increase in the seasonal rainfall regime (scenario 1yI) and a 50 % increase in the synoptic rainfall regime (scenario 3dI). Simulated daily water and sediment discharges and erosion/deposition maps for each scenario are compared to those simulated for the situation without changes in rainfall. The time series were aggregated over different time intervals to allow for a multi-scale analysis of the differences. The results indicate that the model provides a satisfactory prediction of the catchment's water and sediment discharges, especially over the calibration period. Increased climate variability, whether on a synoptic (3dI), seasonal (1yI) or interannual (6yI) scale, leads to increased runoff and erosion. Increasing the synoptic rainfall variability (3dI) leads to the largest increase in
机构:
Watering Van Sint Truiden, B-3800 St Truiden, Limburg, BelgiumQueens Univ Belfast, Sch Nat & Built Environm, Geog, Belfast BT7 1NN, Antrim, North Ireland
Vandaele, Karel
;
Graham, Conor
论文数: 0引用数: 0
h-index: 0
机构:
Queens Univ Belfast, Sch Nat & Built Environm, Geog, Belfast BT7 1NN, Antrim, North IrelandQueens Univ Belfast, Sch Nat & Built Environm, Geog, Belfast BT7 1NN, Antrim, North Ireland
Graham, Conor
;
McKinley, Jennifer
论文数: 0引用数: 0
h-index: 0
机构:
Queens Univ Belfast, Sch Nat & Built Environm, Geog, Belfast BT7 1NN, Antrim, North IrelandQueens Univ Belfast, Sch Nat & Built Environm, Geog, Belfast BT7 1NN, Antrim, North Ireland
机构:
Watering Van Sint Truiden, B-3800 St Truiden, Limburg, BelgiumQueens Univ Belfast, Sch Nat & Built Environm, Geog, Belfast BT7 1NN, Antrim, North Ireland
Vandaele, Karel
;
Graham, Conor
论文数: 0引用数: 0
h-index: 0
机构:
Queens Univ Belfast, Sch Nat & Built Environm, Geog, Belfast BT7 1NN, Antrim, North IrelandQueens Univ Belfast, Sch Nat & Built Environm, Geog, Belfast BT7 1NN, Antrim, North Ireland
Graham, Conor
;
McKinley, Jennifer
论文数: 0引用数: 0
h-index: 0
机构:
Queens Univ Belfast, Sch Nat & Built Environm, Geog, Belfast BT7 1NN, Antrim, North IrelandQueens Univ Belfast, Sch Nat & Built Environm, Geog, Belfast BT7 1NN, Antrim, North Ireland