Land and water are the two essential natural resources for human survival. Land Use/Land Cover (LULC) is an important parameter governing the hydrology of a region. Increased human interventions have caused different modifications in the land cover, directly or indirectly affecting the hydrological cycle and processes in the long run. Raising urban/rural growth leads to an increase in the runoff by diminishing the perviousness of the region. Distributed hydrological modelling provides an efficient way to evaluate such changes by allowing quantification of streamflow patterns and distribution of hydrological components throughout watersheds. Remote sensing has the potential to be a more accurate tool for collecting spatial and temporal databases for studying hydrological processes. This study helps researchers to convey their ideas to quantify the influence of alterations in LULC patterns over time on the runoff of the Asan watershed, India from 1980 to 2016 and opted for the Variable Infiltration Capacity (VIC) model to understand broader-scale hydrological effects on the watershed. Datasets related to temperature, precipitation and discharge are required in order to generate inflow-outflow statistics. The outcome shows that, with a relative increase in 2011, mean annual runoff increased from 509.8 cusec in 1980 to 549.5 cusec in 2016. Annual discharge was highest in July–September and lowest in December–February. Urbanized areas increased from 9.55 km2 in 1980 to 36.50 km2 in 2016, leading to an increase in impervious surfaces and runoff. The decrease in natural land cover, including water bodies, and intensive agriculture contributed to higher runoff and lower groundwater recharge. Overall, the study emphasizes the importance of hydrological modelling in understanding water balance components and simulating hydrological responses under LULC alterations. Also, the adoption of appropriate workflows for assembling multiple datasets and extraction techniques and analysis of the time-series impact of urbanisation on the watershed’s runoff potential.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Insight into the Impact of Land Use/Land Cover Change on Runoff Incorporating Hydrological Modelling to Analyse Their Impact on the Water Regime

  • Ankita Sharma,
  • Radha Krishan,
  • Kuljit Kour,
  • Bhaskar R. Nikam,
  • Dhirendra Singh Bagri

摘要

Land and water are the two essential natural resources for human survival. Land Use/Land Cover (LULC) is an important parameter governing the hydrology of a region. Increased human interventions have caused different modifications in the land cover, directly or indirectly affecting the hydrological cycle and processes in the long run. Raising urban/rural growth leads to an increase in the runoff by diminishing the perviousness of the region. Distributed hydrological modelling provides an efficient way to evaluate such changes by allowing quantification of streamflow patterns and distribution of hydrological components throughout watersheds. Remote sensing has the potential to be a more accurate tool for collecting spatial and temporal databases for studying hydrological processes. This study helps researchers to convey their ideas to quantify the influence of alterations in LULC patterns over time on the runoff of the Asan watershed, India from 1980 to 2016 and opted for the Variable Infiltration Capacity (VIC) model to understand broader-scale hydrological effects on the watershed. Datasets related to temperature, precipitation and discharge are required in order to generate inflow-outflow statistics. The outcome shows that, with a relative increase in 2011, mean annual runoff increased from 509.8 cusec in 1980 to 549.5 cusec in 2016. Annual discharge was highest in July–September and lowest in December–February. Urbanized areas increased from 9.55 km2 in 1980 to 36.50 km2 in 2016, leading to an increase in impervious surfaces and runoff. The decrease in natural land cover, including water bodies, and intensive agriculture contributed to higher runoff and lower groundwater recharge. Overall, the study emphasizes the importance of hydrological modelling in understanding water balance components and simulating hydrological responses under LULC alterations. Also, the adoption of appropriate workflows for assembling multiple datasets and extraction techniques and analysis of the time-series impact of urbanisation on the watershed’s runoff potential.