Hydraulic conditions affect pollutant removal efficiency in distributed ditches and ponds in agricultural landscapes

Jia, Zhang; Cheng, Chen Li; Luo, Weihong; Zou, Jiarong; Wu, Wenao; Xu, Mingliang; Tang, Yun

doi:10.1016/j.scitotenv.2018.08.340

Cited by 28 publications

(12 citation statements)

References 31 publications

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“…As stated above, these peak precipitation events will result in higher runoff rates which will decrease drainage fluxes. It has been reported that most of the drainage events in the Yanyun Irrigation District occur during the rice‐growing season (Jia et al ., 2019). So any future decrease in drainage fluxes during the rice‐growing season will cause a significant decrease in annual future drainage fluxes.…”

Section: Resultsmentioning

confidence: 99%

“…The study area is located at the Yangzhou Irrigation and Drainage Experimental Station of the Yanyun Irrigation District in the lower reaches of the Yangtze River basin, China (Figure 1). The area has a flat topography with elevation ranging from 5 to 8 m + MSL (mean sea level) (Jia et al ., 2019). It receives an annual precipitation of about 1000 mm with annual mean values of maximum and minimum temperatures of 21 and 12.3 °C, respectively.…”

Section: Methodsmentioning

confidence: 99%

“…The study area comprises a set of open ditches dug at a spacing of 100 m alongside parallel buried pipes at a depth of 60 cm with a spacing of 18 m. Based on observations, the average drainage flux in the study area was 0.5 cm day‾¹ during peak drainage seasons (Jia et al ., 2019). During certain periods, the rate of drainage flux is controlled by practising what is called ‘controlled drainage’.…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

DRAINMOD simulation of paddy field drainage strategies and adaptation to future climate change in lower reaches of the Yangtze river basin^*

Awad

Luo

Zou

2021

Irrigation and Drainage

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The DRAINMOD model was used to simulate the current and future water balance in the Yanyun Irrigation District, China. Projections of future climate in the district (2021:2050) show that annual maximum and minimum temperatures will increase by [1.09 and 1.15 °C] under the representative concentration pathway RCP4.5 and [1.34 and 1.39 °C] under RCP8.5, besides more frequency of one‐day peak precipitation events. DRAINMOD simulations revealed that future annual runoff will increase by 33.3% (RCP4.5) and 36.9% (RCP8.5), while groundwater tables will drop by 6% (RCP4.5) and 14.5% (RCP8.5). Future hydrology has been resimulated, but with increasing the capacity of surface depressions in an attempt to minimize adverse impacts of climate change, and results have been checked twice: under proper and improper subsurface drainage practices. Under proper subsurface drainage practices, it was revealed that future runoff will decrease by 25.3% (RCP4.5) and 23.6% (RCP8.5), which will cause a rise in groundwater tables to desired levels, while in contrast, improper subsurface drainage practices will increase future runoff by 13.7% (RCP4.5) and 2.8% (RCP8.5), all compared to future values before adaptation. Therefore, proper drainage strategies are a vital tool that helps to cope with climate change in agricultural lands and mitigate future runoff rates.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

DRAINMOD simulation of paddy field drainage strategies and adaptation to future climate change in lower reaches of the Yangtze river basin^*

Awad

Luo

Zou

2021

Irrigation and Drainage

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show abstract

“…As shown in Figure 4, the model requires a set of data related to weather, crop, and The area is characterized by a flat topography; the elevations here range from 5 to 8 m + MSL (mean sea level). The annual precipitation is about 1000 mm while the annual mean values of maximum and minimum temperatures are 21 • C and 12.3 • C, respectively [24].…”

Section: Cropwat Modelmentioning

confidence: 99%

Farmers’ Awareness in the Context of Climate Change: An Underutilized Way for Ensuring Sustainable Farmland Adaptation and Surface Water Quality

et al. 2021

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Simulations using the Crop Water and Irrigation Requirements model (CROPWAT), show that the projected climatic changes over the period from 2026 to 2050 in the Yanyun irrigation district, Yangzhou, China, will cause the paddy lands there to lose about 12.4% to 37.4%, and 1.6% to 45.6%, of their future seasonal rainwater in runoff under the Representative Concentration Pathways (RCP45 and RCP85), respectively. This may increase future irrigation requirements (IRs), alongside threatening the quality of adjacent water bodies. The CROPWAT simulations were re-run after increasing the Surface Storage Capacity (SSC) of the land by 50% and 100% of its baseline value. The results state that future rainwater runoff will be reduced by up to 76% and 100%, and 53% and 100% when the SSC is increased by 50% and 100%, under RCP45 and RCP85, respectively. This mitigates the future increase in IRs (e.g., under RCP45, up to about 11% and 16% of future IRs will be saved when increasing the SSC by 50% and 100%, respectively), thus saving the adjacent water bodies from the contaminated runoff from these lands. Adjusting the SSC of farmlands is an easy physical approach that can be practiced by farmers, and therefore educating them on how to follow up the rainfall forecast and then adjust the level of their farmlands’ boundaries according to these forecasts may help in the self-adaptation of vast areas of farmlands to climate change. These findings will help water users conserve agricultural water resources (by mitigating the future increase in IRs) alongside ensuring better quality for adjacent water bodies (by decreasing future runoff from these farmlands). Increasing farmers’ awareness, an underutilized approach, is a potential tool for ensuring improved agricultural circumstances amid projected climate changes and preserving the available water resources.

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“…The temporary and/or permanent stabilization of ditch using environmentally friendly techniques and/ or mechanical operations can be regarded as a useful measure in the reduction of sediment yield from roads to canals and rivers (Jia et al 2019). In temporary stabilization techniques through the deployment of vegetation cover, geotextile installation, etc., straw and wood mulch can be found that is usually deteriorated after several years (Appelboom et al 2002).…”

Section: Introductionmentioning

confidence: 99%

Effects of Soil Conservation Practices on Sediment Yield from Forest Road Ditches in Northern Iran

Khandouzi

Parsakhoo

Sheikh

et al. 2020

Croat. j. for. eng. (Online)

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The fine-textured soil in forest road ditches is very susceptible to water erosion especially in rainy seasons in Hyrcanian forest. This study examined the yield of ditch segment-scale sediment after releasing two flow rates of 5 l s-1 and 10 l s-1 in segments treated by riprap (RR), grass cover by Festuca arundinacea L. (GC), compacted cotton geotextile (CG) and wooden wattle by local slash (WW). Sediment sampling from the runoff was carried out at the end of each segment every minute. Runoff flow velocity in different treatments was measured using an electromagnetic flow meter. Sediment concentration and runoff velocity in treatments of RR, GC, CG, WW was significantly lower than that of the control plot (Ctl). Increasing flow rate from 5 l s-1 to 10 l s-1 caused no significant change in sediment concentration (except for Ctl and RR) and runoff velocity (except for Ctl and CG), which means that some water might have penetrated into treated soil by RR, GC and WW and this is not acceptable in forest road maintenance practices. Sediment yield from RR (0.36 g l-1) and Ctl (0.50 g l-1) under the flow rate of 10 l s-1 was significantly higher than that of 5 l s-1 with values of 0.21 g l-1 and 0.38 g l-1, respectively. Minimum amount of sediment concentration was observed for CG (0.20 g l-1) with compacted ditch bed. Moreover, runoff velocity in CG and Ctl under the flow rate of 10 l s-1 was significantly higher than that of 5 l s-1. For a forest road with dimension 30×50 cm, slope of 5%, and clay soil with porosity of 57%, treatments of compacted CG can be used in ditch with low flow rates (5 l s-1) and high flow rate (10 l s-1) because of their high efficiency in reducing sediment yield.

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Hydraulic conditions affect pollutant removal efficiency in distributed ditches and ponds in agricultural landscapes

Cited by 28 publications

References 31 publications

DRAINMOD simulation of paddy field drainage strategies and adaptation to future climate change in lower reaches of the Yangtze river basin^*

DRAINMOD simulation of paddy field drainage strategies and adaptation to future climate change in lower reaches of the Yangtze river basin^*

Farmers’ Awareness in the Context of Climate Change: An Underutilized Way for Ensuring Sustainable Farmland Adaptation and Surface Water Quality

Effects of Soil Conservation Practices on Sediment Yield from Forest Road Ditches in Northern Iran

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Hydraulic conditions affect pollutant removal efficiency in distributed ditches and ponds in agricultural landscapes

Cited by 28 publications

References 31 publications

DRAINMOD simulation of paddy field drainage strategies and adaptation to future climate change in lower reaches of the Yangtze river basin*

DRAINMOD simulation of paddy field drainage strategies and adaptation to future climate change in lower reaches of the Yangtze river basin*

Farmers’ Awareness in the Context of Climate Change: An Underutilized Way for Ensuring Sustainable Farmland Adaptation and Surface Water Quality

Effects of Soil Conservation Practices on Sediment Yield from Forest Road Ditches in Northern Iran

Contact Info

Product

Resources

About

DRAINMOD simulation of paddy field drainage strategies and adaptation to future climate change in lower reaches of the Yangtze river basin^*

DRAINMOD simulation of paddy field drainage strategies and adaptation to future climate change in lower reaches of the Yangtze river basin^*