Long-Term Hydrologic Impact Assessment of Non-point Source Pollution Measured Through Land Use/Land Cover (LULC) Changes in a Tropical Complex Catchment

被引：37
作者：
Abdulkareem J.H. [1 ,2 ]
Sulaiman W.N.A. [1 ]
Pradhan B. [3 ]
Jamil N.R. [1 ]
机构：
[1] Department of Environmental Science, Faculty of Environmental Studies, Universiti Putra Malaysia, Serdang
[2] Department of Soil Science, Institute for Agricultural Research/Faculty of Agriculture, Ahmadu Bello University, Zaria
[3] School of Systems, Management and Leadership, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney
来源：
Earth Systems and Environment | 2018年 / 2卷 / 1期
关键词：
GIS; Hydrologic impact; Malaysia; Non-point source pollution; Remote sensing;
D O I：
10.1007/s41748-018-0042-1
中图分类号：
学科分类号：
摘要：
The contribution of non-point source pollution (NPS) to the contamination of surface water is an issue of growing concern. Non-point source (NPS) pollutants are of various types and altered by several site-specific factors making them difficult to control due to complex uncertainties involve in their behavior. Kelantan River basin, Malaysia is a tropical catchment receiving heavy monsoon rainfall coupled with intense land use/land cover (LULC) changes making the area consistently flood prone thereby deteriorating the surface water quality in the area. This study was conducted to determine the spatio-temporal variation of NPS pollutant loads among different LULC changes and to establish a NPS pollutant loads relationships among LULC conditions and sub-basins in each catchment. Four pollutants parameters such as total suspended solids (TSS), total phosphorus (TP), total nitrogen (TN) and ammonia nitrogen (AN) were chosen with their corresponding event mean concentration values (EMC). Soil map and LULC change maps corresponding to 1984, 2002 and 2013 were used for the calculation of runoff and NPS pollutant loads using numeric integration in a GIS environment. Analysis of Variance (ANOVA) was conducted for the comparison of NPS pollutant loads among the three LULC conditions used and the sub-basins in each catchment. The results showed that the spatio-temporal variation of pollutant loads in almost all the catchments increased with changes in LULC condition as one moves from 1984 to 2013, with 2013 LULC condition found as the dominant in almost all cases. NPS pollutant loads among different LULC changes also increased with changes in LULC condition from 1984 to 2013. While urbanization was found to be the dominant LULC change with the highest pollutant load in all the catchments. Results from ANOVA reveals that statistically most significant (p < 0.05) pollutant loads were obtained from 2013 LULC conditions, while statistically least significant (p < 0.05) pollutant loads were obtained under 1984 LULC condition. This reveals the clear effect of LULC changes on NPS pollution. The findings of this study may be useful to water resource planners in controlling water pollution for future planning. © 2018, Springer International Publishing AG, part of Springer Nature.
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页码：67 / 84
页数：17
相关论文
共 34 条
  • [21] Novotny V., Water quality: diffuse pollution and watershed management, (2003)
  • [22] Ozdemir H., Elbasi E., Benchmarking land use change impacts on direct runoff in ungauged urban watersheds, Phys Chem Earth Pt A/B/C, 79-82, pp. 100-107, (2015)
  • [23] Rossi L., Krejci V., Rauch W., Kreikenbaum S., Fankhauser R., Gujer W., Stochastic modeling of total suspended solids (TSS) in urban areas during rain events, Water Res, 39, pp. 4188-4196, (2005)
  • [24] Shen Z., Hong Q., Yu H., Niu J., Parameter uncertainty analysis of non-point source pollution from different land use types, Sci Total Environ, 408, pp. 1971-1978, (2010)
  • [25] Shen Z., Liao Q., Hong Q., Gong Y., An overview of research on agricultural non-point source pollution modelling in China, Sep Purif Technol, 84, pp. 104-111, (2012)
  • [26] Thanapakpawin P., Richey J., Thomas D., Rodda S., Campbell B., Logsdon M., Effects of landuse change on the hydrologic regime of the Mae Chaem river basin, (NW) Thailand, J Hydrol, 334, pp. 215-230, (2007)
  • [27] Tong S.T.Y., Chen W., Modeling the relationship between land use and surface water quality, J Environ Manag, 66, pp. 377-393, (2002)
  • [28] National Water Quality Inventory: Report to Congress. Water, 1, (2009)
  • [29] Wan I., Urban growth determinants for the state of Kelantano of the state’s policy makers. Penerbitan Akademik Fakulti Kejuruteraan dan Sains Geoinformasi, Buletin Ukur, 7, pp. 176-189, (1996)
  • [30] Wang S., Wang S., Land use/land cover change and their effects on landscape patterns in the Yanqi Basin, Xinjiang (China), Environ Monit Assess, 185, pp. 9729-9742, (2013)
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