Formulating an Elasticity Approach to Quantify the Effects of Climate Variability and Ecological Restoration on Sediment Discharge Change in the Loess Plateau, China
Abstract:Suspended sediment yields (SSY) respond strongly to ecological restoration (ER) efforts, and significant improvements in SSY control have been achieved in the Loess Plateau of China. However, it remains challenging to quantify the net impacts of ER on SSY. Here, we formulate the notion of elasticity of sediment discharge, by associating SSY change to climate variability and ER over the period 1950s to 2014. All ten of the subcatchments studied experienced significant decreases in annual SSY, streamflow, and su… Show more
“…Apart from that, water holding capacity of soil and landcover type also affect hydrology and water quality. The change in streamflow, sediment and nutrients are also influenced by human activities such as agricultural operation, construction, and mining [35]. The prediction of the future hydrological and water quality scenarios based on different climate scenarios input using two climate models developed in this study, will be useful in the development and implementation of effective watershed management mitigation strategies in the near and far future.…”
This study evaluated changes in climatic variable impacts on hydrology and water quality in Big Sunflower River Watershed (BSRW), Mississippi. Site-specific future time-series precipitation, temperature, and solar radiation data were generated using a stochastic weather generator LARS-WG model. For the generation of climate scenarios, Representative Concentration Pathways (RCPs), 4.5 and 8.5 of Global Circulation Models (GCMs): Hadley Center Global Environmental Model (HadGEM) and EC-EARTH, for three (2021–2040, 2041–2060 and 2061–2080) future climate periods. Analysis of future climate data based on six ground weather stations located within BSRW showed that the minimum temperature ranged from 11.9 °C to 15.9 °C and the maximum temperature ranged from 23.2 °C to 28.3 °C. Similarly, the average daily rainfall ranged from 3.6 mm to 4.3 mm. Analysis of changes in monthly average maximum/minimum temperature showed that January had the maximum increment and July/August had a minimum increment in monthly average temperature. Similarly, maximum increase in monthly average rainfall was observed during May and maximum decrease was observed during September. The average monthly streamflow, sediment, TN, and TP loads under different climate scenarios varied significantly. The change in average TN and TP loads due to climate change were observed to be very high compared to the change in streamflow and sediment load. The monthly average nutrient load under two different RCP scenarios varied greatly from as low as 63% to as high as 184%, compared to the current monthly nutrient load. The change in hydrology and water quality was mainly attributed to changes in surface temperature, precipitation, and stream flow. This study can be useful in the development and implementation of climate change smart management of agricultural watersheds.
“…Apart from that, water holding capacity of soil and landcover type also affect hydrology and water quality. The change in streamflow, sediment and nutrients are also influenced by human activities such as agricultural operation, construction, and mining [35]. The prediction of the future hydrological and water quality scenarios based on different climate scenarios input using two climate models developed in this study, will be useful in the development and implementation of effective watershed management mitigation strategies in the near and far future.…”
This study evaluated changes in climatic variable impacts on hydrology and water quality in Big Sunflower River Watershed (BSRW), Mississippi. Site-specific future time-series precipitation, temperature, and solar radiation data were generated using a stochastic weather generator LARS-WG model. For the generation of climate scenarios, Representative Concentration Pathways (RCPs), 4.5 and 8.5 of Global Circulation Models (GCMs): Hadley Center Global Environmental Model (HadGEM) and EC-EARTH, for three (2021–2040, 2041–2060 and 2061–2080) future climate periods. Analysis of future climate data based on six ground weather stations located within BSRW showed that the minimum temperature ranged from 11.9 °C to 15.9 °C and the maximum temperature ranged from 23.2 °C to 28.3 °C. Similarly, the average daily rainfall ranged from 3.6 mm to 4.3 mm. Analysis of changes in monthly average maximum/minimum temperature showed that January had the maximum increment and July/August had a minimum increment in monthly average temperature. Similarly, maximum increase in monthly average rainfall was observed during May and maximum decrease was observed during September. The average monthly streamflow, sediment, TN, and TP loads under different climate scenarios varied significantly. The change in average TN and TP loads due to climate change were observed to be very high compared to the change in streamflow and sediment load. The monthly average nutrient load under two different RCP scenarios varied greatly from as low as 63% to as high as 184%, compared to the current monthly nutrient load. The change in hydrology and water quality was mainly attributed to changes in surface temperature, precipitation, and stream flow. This study can be useful in the development and implementation of climate change smart management of agricultural watersheds.
“…Their main function is to intercept sediment to create farmland. Check dams promote sediment deposition by intercepting and slowing the discharge (Liu et al, 2018), and thus alter the relationship between water discharge and sediment flux (Zhang et al, 2019). Li and Liu (2018) report that 50,935 check dams had been built in the upper reaches of the Yellow River, above Tongguan station (at the mainstream of the Yellow River) by 2012 when the average amount of intercepting sediment reached 204 million tons per year.…”
Section: Effect Of Land Cover On the Change In Upper And Lower Bounda...mentioning
“…Generally, changes of suspended sediment load (SSL) can be attributed to climate variability and human activities. The elasticity approach proposed by [19] is adopted and reformulated to quantify the effects of climate variability and human activities on changes of suspended sediment discharge in different periods, which are identified with abrupt-change detection methods.…”
Section: Quantification Of the Attribution Of Sediment Discharge Changementioning
confidence: 99%
“…Because the amount of sediment transport (Q S ) is the multiplication of the concentration of sediment (C) and streamflow discharge (Q), changes in Q S can be expressed in an elasticity form as [19]:…”
Section: Quantification Of the Attribution Of Sediment Discharge Changementioning
confidence: 99%
“…Changes in SSL attributed to changes in precipitation (∆Q s,P ), potential evapotranspiration (∆Q s,E 0 ), and land surface (by changing streamflow, ∆Q s,m , and moderating C~Q relationships, ∆Q s,C ) can be, respectively, expressed as (Zhang et al 2019) [19]:…”
Section: Quantification Of the Attribution Of Sediment Discharge Changementioning
The Min River is the largest river in Fujian Province in southeastern China. The construction of a series of dams along the upper reaches of the Min River, especially the Shuikou Dam, which started filling in 1993, modified the flow processes at the lower Min River, leading to the significant increase in low-flows and slightly decrease in flood-flows. At the same time, reservoirs have more effects on the sediment transport process than flow process by trapping most sediment in the reservoirs, and greatly reduced the amount of sediment transporting downstream. Increase in vegetation cover also contributes to the decrease in sediment yield. The reduction in sediment together with excessive sand mining in the lower Min River resulted in the severe downward erosion of the riverbed. Using a reformulated elasticity approach to quantifying climatic and anthropogenic contributions to sediment changes, the relative contribution of precipitation variability and human activities to sediment reduction in the lower Min River are quantified, which shows that the sediment reduction is fully caused by human activities (including land use/land cover changes and dam construction).
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