Prediction of spatial soil loss impacted by long-term land-use/land-cover change in a tropical watershed

Abdulkareem, Jabir Haruna; Pradhan, Biswajeet; Sulaiman, Wan Nor Azmin; Jamil, Nor Rohaizah

doi:10.1016/j.gsf.2017.10.010

Cited by 94 publications

(48 citation statements)

References 41 publications

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“…In general, hydrology gives guidance for planning, management and control of water resources by applying engineering and geography principles that are fundamental for its study. Land use/land cover (LULC) changes due to urbanization, deforestation, industrialization, irrigation and other forms of changes have now been added to the hydrologic systems (Abdulkareem et al 2017(Abdulkareem et al , 2018a. Others such as climate change and soil heterogeneity that are reported to have a direct effect on streamflow across the globe are also considered (Devi et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Review of studies on hydrological modelling in Malaysia

Abdulkareem

Pradhan

Sulaiman

et al. 2018

Model. Earth Syst. Environ.

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Hydrological models are vital component and essential tools for water resources and environmental planning and management. In recent times, several studies have been conducted with a view of examining the compatibility of model results with streamflow measurements. Some modelers are of the view that even the use of complex modeling techniques does not give better assessment due to soil heterogeneity and climatic changes that plays vital roles in the behavior of streamflow. In Malaysia, several public domain hydrologic models that range from physically-based models, empirical models and conceptual models are in use. These include hydrologic modeling system (HEC-HMS), soil water assessment tool (SWAT), MIKE-SHE, artificial neural network (ANN). In view of this, a study was conducted to evaluate the hydrological models used in Malaysia, determine the coverage of the hydrological models in major river basins and to identify the methodologies used (specifically model performance and evaluation). The results of the review showed that 65% of the studies conducted used physical-based models, 37% used empirical models while 6% used conceptual models. Of the 65% of physical-based modelling studies, 60% utilized HEC-HMS an open source models, 20% used SWAT (public domain model), 9% used MIKE-SHE, MIKE 11 and MIKE 22, Infoworks RS occupied 7% while TREX and IFAS occupy 2% each. Thus, indicating preference for open access models in Malaysia. In the case of empirical models, 46% from the total of empirical researches in Malaysia used ANN, 13% used Logistic Regression (LR), while Fuzzy logic, Unit Hydrograph, Auto-regressive integrated moving average (ARIMA) model and support vector machine (SVM) contributed 8% each. Whereas the remaining proportion is occupied by Numerical weather prediction (NWP), land surface model (LSM), frequency ratio (FR), decision tree (DT) and weight of evidence (WoE). Majority of the hydrological modelling studies utilized one or more statistical measure of evaluating hydrological model performance (R, R 2 , NSE, RMSE, MAE, etc.) except in some few cases where no specific method was stated. Of the 70 papers reviewed in this study, 16 did not specify the type of model evaluation criteria they used in evaluating their studies, 17 utilized only one method while 37 used two or more methods. NSE with 27% was found to be the most widely used method of evaluating model performance; R and RMSE came second with a percentage use 24% each. R 2 (20%) was recorded as the third most widely used model evaluation criteria in Malaysia, MAE came fourth with 16% while PBIAS is the least with 11%.The findings of this work will serve as a guide to modelers in identifying the type of hydrological model they need to apply to a particular catchment for a particular problem. It will equally help water resources managers and policy makers in providing them with executive summary of hydrological studies and where more input is needed to achieve sustainable development.

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Section: Introductionmentioning

confidence: 99%

Review of studies on hydrological modelling in Malaysia

Abdulkareem

Pradhan

Sulaiman

et al. 2018

Model. Earth Syst. Environ.

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“…Data on the following variables were collected: Watershed morphometric (WM) parameters related to geometry, drainage network, and relief (see Table ) that are closely related to surface runoff and soil erodibility, particularly in lands with rugged topography (Blanco‐Canqui and Lal ). Land use/land cover (LULC) as a factor of influence on water availability and hydrological processes (Sriwongsitanon and Taesombat ; Dwarakish and Ganasri ; Yan et al ). Vegetation cover was included as it regulates soil erosion rates and sediment transport (Gellis et al ; Leh et al ; Abdulkareem et al ). Soil erosion risk (SER) as a descriptor of the soil resistance or vulnerability to water and wind erosion (Blanco‐Canqui and Lal ). Population distribution (PD) as the main driver of degradation of natural resources. Excessive population pressure and/or inadequate management of natural resources generate problems of depletion, degradation, and pollution (Timah et al ). …”

Section: Methodsmentioning

confidence: 99%

Identification of Priority Areas for Integrated Management of Semiarid Watersheds in the Ecuadorian Andes

Arteaga¹,

Ochoa²,

Fries

et al. 2020

J American Water Resour Assoc

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Research Impact Statement: Methodology to prioritize areas of soil and water management and conservation in basins. A decision-making tool for the implementation of targets 6.6, 15.1-15.2 of the Sustainable Development Goals.ABSTRACT: Integrated watershed management (IWM) is a priority, especially in semiarid regions that are concurrently affected by population growth, land use change, soil erosion, and poor governance. In developing countries, IWM is often done without any support tool, scientific data, or deep knowledge of territory characteristics. The aim of this study was to present a case study to apply a decision support tool to prioritize areas for territory management. A simple, quantitative multi-criteria analysis was applied in a semiarid basin of the Ecuadorian Andes to identify the zones of greatest concern for implementation of resource conservation and management practices at a local and regional scale. In addition to describing the current state of the conditions of this basin, our results suggest scenarios of change in relation to official population projections based on spatial analysis of land use change. Analysis resulted in a scattered distribution of priority values within the watershed, so a hierarchical rule was incorporated to define priorities at the subwatershed (SW) scale. Our analysis identified four SW of very high priority and urgent need to implement management practices. Based on projections of future change due to population growth and land cover change, the number of subbasins that require more attention was doubled. Finally, this study includes zones for management or conservation of the land, according to the Sustainable Development Goals.(KEYWORDS: decision support systems -DSS; integrated watershed management -IWM; SDGs; spatial modeling; semiarid basins.)Paper No. JAWRA-18-0106-P of the

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“…The S-factor measures the effect of the steepness of slope while the L-factor indicate the impact of slope-length. Slope-length factor is a common variable that has been evaluated extensively to calculate soil erosion in various places around the world (Prasannakumar et al 2012;Sinha and Joshi 2012;Abdulkareem et al 2017). Few studies reveal a strong association between the LS-factor and erosion rate.…”

Section: Slope-length Factormentioning

confidence: 99%

Landscape variables in the Indian (Peninsular) catchments: insights into hydro-geomorphic evolution

Das¹

2019

Preprint

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The river systems in peninsular India are remained unexplored in terms of hydro-geomorphic evolution, though a few works are carried out in order to understand the tectonic and structural evolution with paleoclimate. Morphometric analysis at catchment scale delivers insights into the dynamics, erosion capacity, probability of flood occurrence, lithological and structural control, and genetic response to the tectonics. The present study aimed to characterize the hydro-geomorphic evolution of 12 major catchments in Peninsular India via morphometric analysis. A total 25 morphometric parameters were computed and several statistical analyses performed in establishing the inter-correlation and making classification of Indian rivers. The results indicated that most of the rivers in peninsular India are 7th to 9th order catchments. A high variability of the rainfall was observed in these rivers where the northern catchments experience higher amount of precipitation contrasting to the southern basins. Almost all the basins showed a moderate relief ratio, hypsometric integral, ruggedness etc. Cauvery, Baitarni, and Brahmani showed exceptionally steeper gradient, high relief ratio, LS factor, and ruggedness index which may indicate higher erosion potential. A positive association between erosion rate and hypsometric integral was observed. All these rivers were classified in three categories based on cluster analysis where the medium and large sized catchments formed different groups. Despite of the extensive data and statistical analysis, the outcomes of this study are highly general due to large scale variation in lithology and climate. In foreseeable works dealing with such morphometric variables, a higher resolution sub-catchment scale analysis would be required for a better description of the hydro-geomorphic response of these large catchments in peninsular India.

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Prediction of spatial soil loss impacted by long-term land-use/land-cover change in a tropical watershed

Cited by 94 publications

References 41 publications

Review of studies on hydrological modelling in Malaysia

Review of studies on hydrological modelling in Malaysia

Identification of Priority Areas for Integrated Management of Semiarid Watersheds in the Ecuadorian Andes

Landscape variables in the Indian (Peninsular) catchments: insights into hydro-geomorphic evolution

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