Elsevier

Ecological Modelling

Volume 459, 1 November 2021, 109721
Ecological Modelling

Modelling the effects of urbanization on nutrients pollution for prospective management of a tropical watershed: A case study of Skudai River watershed

https://doi.org/10.1016/j.ecolmodel.2021.109721Get rights and content

Highlight

  • An insight on the amount of TN and TP pollutants generated under rapid urban development.

  • Effects of TN and TP pollution inflows on the trophic states of tropical rivers.

  • Future urban development poses a threat to overall water quality in the study area.

Abstract

Nutrient pollution is considered as a primary factor of water quality deterioration in urban-dominated watersheds in which an informed decision on the management strategies are required to improve the water quality condition. The Hydrological Simulation Program Fortran (HSPF) model is used to evaluate the impacts of pollution by these nutrients using the Skudai River watershed in Malaysia as a case study. A developed land-use/land-cover (LU/LC) scenarios were used to evaluate these impacts. Statistical methods were employed to assess the extent of these impacts and their significance in shifting the trophic state of the rivers in the watershed. The study shows that when urban development increases from 18.2 to 49.2%, the total nitrogen (TN) and total phosphorus (TP) loads increase from 3.08 to 4.56 × 10 3 kg/yr and from 0.13 to 0.27 × 103 kg/yr, respectively. Streamflow and stream concentrations (NH3single bondN, NO3single bondN, and PO4-P) produce varying responses as the watershed land-use changes (from 1989 to 2039). As the rivers in the watershed shift their trophic state with respect to the level of anthropogenic disturbance within their catchments, the TN and TP concentrations at the estuaries are likely to change from oligotrophic to eutrophic state. This is an indication that the Johor Strait and the coastal rivers will be exposed to eutrophication, subsequently resulting in harmful algal bloom. This condition can be prevented by integrating water quality management alongside urban development because it is observed that a control of non-point source (NPS) pollutants from 1% of the urban development will decrease TN and TP concentration in Skudai River by 0.023 mg/L and 0.004 mg/L respectively.

Introduction

The level of nutrient pollution produced from the urban areas is among the leading causes of stream impairment in most urbanized watersheds (Duan et al., 2012, Edwards, 2016, Li et al., 2017). For example, the conversion of vegetative and wetland areas to impervious surfaces (buildings, roads, etc.) changes the hydrologic regimes, ecosystem distribution, and nutrient dynamics (Hogan et al., 2014; Bhaskar et al., 2016). The impervious surface amplifies runoff volumes and increases transport of nutrient pollutants from areas of non-point sources (NPSs). These changes adversely affect the water quality and aquatic habitat, their functions in stream ecosystems (Rafferty et al., 2013).

Urban development affects the environment (Netusil et al., 2014; Gashi et al., 2016), and therefore evaluating its influence on the nutrient dynamics will provide useful information on how to protect the environment and ensure human safety (Shen et al., 2015). There are relatively few studies on effects of urbanization in humid tropical regions. Humid tropic regions are characterised with extreme weather conditions (more rainfall and high temperatures) as compared to temperate climates (Ghaffarianhoseini et al., 2019; Ayoub et al., 2020). Depending on the land-use type, the tendency for excessive sediment and nutrient pollution entering the rivers will be more severe (Abd Wahaba et al. 2019). Land-use is a driver of nutrient pollutants and thus important to be considered in urban planning and watershed management and hence, the amount of nutrient pollutants produced due to sudden or gradual urban expansion can be readily determined and applied to support the management of water quality in urbanized settings (Bello et al., 2019). Therefore, understanding the impact of urban development on nutrient pollutants at watershed scale in a tropical region like Malaysia is very important. According to Sala (2000), the effects of land-use changes on the water cycle may outweigh those associated with climate change, and this assertion was supported by a study conducted in Puget Sound Basin (Sun et al., 2016). The result shows that urbanization has a much larger effect than climate change on both the magnitude and the seasonal variability in the studied area. As observed by Tang et al. (2011) and Lee et al. (2017), rapid urbanization is directly associated with an increase in excess nutrients in Malaysia and hence changes in characteristics of the watersheds over a period due to human activities should be considered for water quality improvement. This will help in determining the impact of the potential anthropogenic activities and mitigation actions alongside the future development (Häder et al., 2020).

Other water quality studies at watershed scale explore the effects of historical land use changes on surface runoff and NPS pollution loading (Wu et al., 2012; Wang et al., 2016), but their integration into future perspectives are often ignored. Therefore, in some cases the effect of excess nutrients in a potential urban development remains unknown due to the inadequacy of information and restricted urban planning (Alberti et al., 2007), even though unique information and an outlook with regard to the water quality conditions can be derived (Lee et al., 2009). Nutrients in themselves are important for the function of aquatic ecosystems, but their availability in excess will result in distortion of the ecosystem (Baron et al., 2013).

In this study, a water quantity and quality model of a tropical river watershed is developed using the Hydrological Simulation Program Fortran (HSPF) model. HSPF has been used in modelling several watersheds considering various response parameters that includes; the hydrology (Biru and Kumar, 2018; Lee et al., 2020), sediments (Sarkar et al., 2019), and nutrients (Roostaee and Deng, 2019). Most of the studies have shown the robustness of the HSPF model in determining the effects of various best management practices at a watershed scale (Risal et al., 2021). Also, HSPF model have the ability to detect a small change in the land-use (as input data) and provides the likely responses of the watershed (Alukwe et al., 2014).

This study will provide information on the variation of TN and TP from NPS areas in a tropical watershed system under rapid urbanization settings that will act as a basis for management support and mitigation actions to curtail future water quality problems. Recently, Malaysia planned its future economic development corridors, out of which Johor Bahru, athe capital of Johor state (part of the Skudai River watershed) is one of them. The aim was to modernize the economic infrastructures and urban development areas that will attract investors. As a result, a rapid transformation is taking place in most part of the district. The Skudai River watershed represents the general characteristics of a tropical watershed considering its historical and planned urban development over the span of 5 decades. Part of Johor Bahru township falls within the watershed and its district is considered as one of the major urban area in Malaysia and most urbanized in Johor state (Rizzo, 2021). But the impacts of the rapid urban development and other anthropogenic activities that may lead to water quality deteriorations are not yet determined.

Section snippets

Nutrient transport process of HSPF model

HSPF version 12.4 (EPA, 2015) was used in this study. The model have a set of modules arranged in a hierarchical structure that performs a continuous simulation of a comprehensive range of hydrologic and water-quality processes (Shenk et al., 2012). It uses the concepts of a top-down structure and uniform data structures as well as programming conventions common in large-scale modelling efforts. In this study, the QUAL algorithm is applied to simulate three nutrient forms (orthophosphate,

Calibration and validation of HSPF model

The hydrological component of the Skudai River watershed was calibrated by adjustment of parameters using observed streamflow data from 2002 to 2007 and validated from 2008 to 2014 with monthly time steps (Fig. 4a,b). The model performance was good, with 11% overestimation of the flow, for the seven-year simulation period. The validation results show a satisfactory performance with captured variability of 83% and overestimation of 17% (Table 4). The NH3single bondN, NO3single bondN, and PO4-P concentrations were

Impact of land-use on the nutrient's pollutant

Prior studies have shown the impact of historical LU/LC on nutrient load from NPS areas (Garnier et al., 2013). However, this study presents the effects of LU/LC changes on the excess nutrient flow in a tropical watershed system using combined historical and future LU/LC. According to Wang et al. (2009), LU/LC change has been considered as a common occurrence that plays a significant role in regulating nutrient levels in the ecosystem. This study demonstrates how nutrient load from NPS areas

Conclusion

This study evaluates the effect of increasing urbanization on nitrogen and phosphorus pollution from NPS areas. It provides insightful information on how urban development changes the watershed response to nutrient flows under different LU/LC variations in a region of abundant rainfall. The HSPF model was used to evaluate these impacts in an urbanized watershed in Malaysia. As shown in the results obtained in this study, TN and TP load increases from 3.08 × 103 to 4.56 × 103 kg/yr and 0.13 × 103

CRediT authorship contribution statement

Al-Amin Danladi Bello: Conceptualization, Methodology, Software, Validation, Writing – original draft, Writing – review & editing. Mohd Ridza Mohd Haniffah: Data curation, Writing – original draft, Investigation, Supervision, Writing – review & editing.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

This study was supported by the Department of Irrigation and Drainage Malaysia (DID), Department of Environment (DOE) and Indah Water Konsotium (IWK).

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      For instance, Johnson et al. (2003) found an NSE of 0.67 for daily flow simulation for a 7-year period in Rochester watershed in New York. While, Bello and Haniffah (2021) reported NSE of 0.88 for calibrating monthly flow in Skudai watershed in Malaysia for a six-year period. The model validation results depict close agreements, between the measured and the simulated flows in both daily and monthly timescales, similar to the calibrated results (see Fig. 2c & d).

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