Impact of Land Use Land Cover (LULC) Change on Surface Runoff in an Increasingly Urbanized Tropical Watershed

Astuti, Ike Sari; Sahoo, Kamalakanta; Milewski, A.; Mishra, Deepak R.

doi:10.1007/s11269-019-02320-w

Cited by 84 publications

(33 citation statements)

References 44 publications

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“…If the gradient value of the first axis in the four axes is greater than 4, the corresponding analysis model is selected; if the gradient value is less than 3, redundancy analysis is selected; if the gradient value falls between 3 and 4, then both methods then became applicable. After calculation, the slope of the first axis is 0.498, which is far less than 3, indicating that the water quality index is linear with the land-use index [46,47]. Consequently, a redundancy analysis method is selected, and the relationship between land-use and water quality are shown as the arrow in relation to the land-use index and its water quality index (Figure 3), the length and angle of an arrow in Figure 4 indicate that water quality indexes have different responses to land-use indexes [48].…”

Section: Redundancy Analysis Resultsmentioning

confidence: 92%

The Effect of Urban Land-Use Change on Runoff Water Quality: A Case Study in Hangzhou City

Gao

et al. 2021

IJERPH

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The main functions of this research are to guide the proportion of urban land that is used and the layout of the facilities on it, help understand the changes to surface runoff that are caused by land being used in urban development, and thus solve surface runoff pollution. Hangzhou City, China has been selected for the experiment, and the way in which its land is utilized as well as the grading of urban construction projects in the demonstration area are specifically analyzed. This study systematically distinguishes the definitions of impervious area based on the Sutherland equation and analyzes the impact of different impervious area subtypes on surface runoff water quality. Then, we compare the impact of impervious area subtypes with the impact of other land-use patterns on surface runoff water quality. This study shows the relationship between different land-use types and runoff water bodies: Land-use index can affect runoff water quality; Greening activities, impervious surface, and the water quality index are negatively correlated; the effective impervious area rate is positively correlated with the water quality index. The paper suggests that increasing the proportion of green spaces and permeable roads in build-up land reduces the effective impervious area (EIA) and thus controls land runoff pollution and improves runoff water quality.

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Section: Redundancy Analysis Resultsmentioning

confidence: 92%

The Effect of Urban Land-Use Change on Runoff Water Quality: A Case Study in Hangzhou City

Gao

et al. 2021

IJERPH

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“…The simulation used has been successfully applied to simulate hydrological processes in upper Brantas in our previously published study. The details of the model inputs, setup, and validated parameters were adopted from the validated parameters in this area from the previous study, which were run on a monthly basis (calibration 2003-2008 and validation 2009-2013) [49]. We re-simulated this model into three identical SWAT projects, except for the precipitation inputs, to examine the influence of precipitation data derived from three satellite rainfall estimates on the estimated daily flow.…”

Section: Association Of Errors To Varying Ecological Variablesmentioning

confidence: 99%

“…The model parameters applied in this study were taken from the previous study, as they had been validated and assessed for their accuracy and sensitivity in detail [49]. In this study, we replicated the SWAT project and created three similar projects with exactly similar inputs and parameters, and therefore the only source of difference was the rainfall data.…”

Section: Association Of Errors To Varying Ecological Variablesmentioning

confidence: 99%

Validation of Three Daily Satellite Rainfall Products in a Humid Tropic Watershed, Brantas, Indonesia: Implications to Land Characteristics and Hydrological Modelling

et al. 2021

Self Cite

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A total of three different satellite products, CHIRPS, GPM, and PERSIANN, with different spatial resolutions, were examined for their ability to estimate rainfall data at a pixel level, using 30-year-long observations from six locations. Quantitative and qualitative accuracy indicators, as well as R2 and NSE from hydrological estimates, were used as the performance measures. The results show that all of the satellite estimates are unsatisfactory, giving the NRMSE ranging from 6 to 30% at a daily level, with CC only 0.21–0.36. Limited number of gauges, coarse spatial data resolution, and physical terrain complexity were found to be linked with low accuracy. Accuracy was slightly better in dry seasons or low rain rate classes. The errors increased exponentially with the increase in rain rates. CHIPRS and PERSIANN tend to slightly underestimate at lower rain rates, but do show a consistently better performance, with an NRMSE of 6–12%. CHRIPS and PERSIANN also exhibit better estimates of monthly flow data and water balance components, namely runoff, groundwater, and water yield. GPM has a better ability for rainfall event detections, especially during high rainfall events or extremes (>40 mm/day). The errors of the satellite products are generally linked to slope, wind, elevation, and evapotranspiration. Hydrologic simulations using SWAT modelling and the three satellite rainfall products show that CHIRPS slightly has the daily best performance, with R2 of 0.59 and 0.62, and NSE = 0.54, and the monthly aggregated improved at a monthly level. The water balance components generated at an annual level, using three satellite products, show that CHIRPS outperformed with a ration closer to one, though with a tendency to overestimate up to 3–4× times the data generated from the rainfall gauges. The findings of this study are beneficial in supporting efforts for improving satellite rainfall products and water resource implications.

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“…Due to the economic pressure, some local communities breached the contract with Perhutani and planted these areas with non-timber commodities. The conversion of production forest into semi-dry land can increase the risk of landslide and river sedimentation due to the increase in the surface runoff [4,23]. This situation calls for strict law enforcement to stop the non-timber cultivation activities and replanting the areas with suitable trees.…”

Section: Monetary Value From Different Land Use Crop Pattern and Comentioning

confidence: 99%

Land use management and carrying capacity of Bangsri Micro Watershed, East Java, Indonesia: a baseline study

Dwiastuti

Setiawan

Aprilia

et al. 2020

Preprint

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The increase of unsustainable human activities in watershed areas gave a huge pressure, causing land degradation and reduced the river water quality. This study aimed to describe the land use management and calculate the carrying capacity as a part of natural resource management of Bangsri Micro Watershed, the upper Brantas watershed in East Java, Indonesia. Data was gathered from five villages through interviews, questionnaires, and focus group discussions with multiple stakeholders. In addition, data from the local government statistics bureau (i.e., Statistics Indonesia) was also used. From the total 2,765 ha land area, eight different land use were identified with agroforestry (970 ha) being the largest and bare land (43 ha) being the smallest. There were 17 crop patterns with 10 different commodities recorded. Based on the present land use, the total land monetary value (biocapacity) was 298 billion Indonesian Rupiah (IDR) or equal to 27,278 tonnes of rice production. From the total population of 27,645; the total annual income (i.e., ecological footprint based on the minimum wage and real household income) needed is 577-854 billion IDR (72,101-106,771 tonnes of rice), thus considered as a deficit carrying capacity value. An urgent watershed management planning is needed to reduce the environmental pressure while ensuring the fulfilment needs of the people in Bangsri Micro Watershed.

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Impact of Land Use Land Cover (LULC) Change on Surface Runoff in an Increasingly Urbanized Tropical Watershed

Cited by 84 publications

References 44 publications

The Effect of Urban Land-Use Change on Runoff Water Quality: A Case Study in Hangzhou City

The Effect of Urban Land-Use Change on Runoff Water Quality: A Case Study in Hangzhou City

Validation of Three Daily Satellite Rainfall Products in a Humid Tropic Watershed, Brantas, Indonesia: Implications to Land Characteristics and Hydrological Modelling

Land use management and carrying capacity of Bangsri Micro Watershed, East Java, Indonesia: a baseline study

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