scholarly journals Distribution of Nutrients in Kelantan River Basin, Malaysia

2019 ◽  
Vol 31 (11) ◽  
pp. 2466-2472 ◽  
Author(s):  
S. Suratman ◽  
Y.Y. Hee
Keyword(s):  
Land Use ◽  
River Basin ◽  
Urban Areas ◽  
Dilution Effect ◽  
Inorganic Phosphorus ◽  
Nutrient Concentrations ◽  
Class 1 ◽  
Kelantan River Basin ◽  
Organic Nutrients ◽  
Inorganic And Organic

This study aims to assess the influences of land use on nutrient concentrations in Kelantan river basin (southern South China Sea), in addition to the effects of monsoon seasons on nutrient concentrations. The dissolved inorganic and organic nutrients in this river were demonstrated to be related to land use during the study period. The middle and lower reaches of the river, which are surrounded by urban areas with high population densities, have enhanced levels of both dissolved inorganic and organic nutrients. Increased rainfall decreased most of the nutrient concentrations in Kelantan river basin, probably due to the dilution effect. According to The Malaysia National Water Quality Standards (NWQS) classification, the mean concentrations of dissolved inorganic phosphorus, nitrite and nitrate in Kelantan river basin fell into Class 1, which is considered at natural levels in the water column.

scholarly journals Urbanization and Increasing Flood Risk in the Northern Coast of Central Java—Indonesia: An Assessment towards Better Land Use Policy and Flood Management

Land ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 343
Author(s):  
Wiwandari Handayani ◽  
Uchendu Eugene Chigbu ◽  
Iwan Rudiarto ◽  
Intan Hapsari Surya Putri
Keyword(s):  
Land Use ◽  
River Basin ◽  
Spatial Data ◽  
Urban Areas ◽  
Landsat Imagery ◽  
Flood Management ◽  
Spatial Data Analysis ◽  
Northern Coast ◽  
Flood Events ◽  
Central Java

This study explores urbanization and flood events in the northern coast of Central Java with river basin as its unit of analysis. Two types of analysis were applied (i.e., spatial data and non-spatial data analysis) at four river basin areas in Central Java—Indonesia. The spatial analysis is focused on the assessment of LULC change in 2009–2018 based on Landsat Imagery. The non-spatial data (i.e., rural-urban classification and flood events) were overlaid with results of spatial data analyses. Our findings show that urbanization, as indicated by the growth rate of built-up areas, is very significant. Notable exposure to flood has taken place in the urban and potentially urban areas. The emerging discussion indicates that river basins possess dual spatial identity in the urban system (policy- and land-use-related). Proper land use planning and control is an essential instrument to safeguard urban areas (such as the case study area) and the entire island of Java in Indonesia. More attention should be put upon the river basin areas in designing eco-based approach to tackle the urban flood crises. In this case, the role of governance in flood management is crucial.

scholarly journals Flood Risk Index for Land-Use Changes: Case Study of Pakpanang River Basin

2020 ◽  
Vol 24 (5) ◽  
pp. 25-40
Author(s):  
Chonlatid Kittikhun ◽  
Sitang Pilailar ◽  
Suwatana Chittaladakorn ◽  
Eakawat Jhonpadit
Keyword(s):  
Land Use ◽  
River Basin ◽  
Land Use Planning ◽  
Flood Risk ◽  
Urban Areas ◽  
Risk Index ◽  
Land Use Changes ◽  
Flood Depth ◽  
Arc Gis

Flood Risk Index (FRI) is the multi-criteria linked with the factors of vulnerability; exposure, susceptibility, and resilience. In order to establish local FRI, crucial local information have to be accumulated. However, under the limitation of land-use data, particular techniques were applied in this study. CA Markov model was used to analyze the past missing land-use data and, also forecast the future land-use of Pakpanang river basin under conditions of plan and without plan. The ratio changes of forest, agriculture, wetland and water, and urban areas were considered. Then, the result of LULC spatial-temporal changes was then applied to Hec-HMS and Hec-Ras , with Arc GIS extension of Hec-GeoHMS and Hec-GeoRas software, in order to evaluate the flood hydrographs and flood severity in three municipalities corresponding to 100-year return period rainfall. Afterward, the FRI of Pakpanang, Chianyai, and Hua-sai, which ranges from 0 to 1, were evaluated by using the modified FRI equations. It was found that sensitivity analysis in the area of forest on flood depth and inundation areas is incoherent. Nevertheless, without land-use planning, the changes in these three cities cause higher flood risk, where Chianyai is the riskiest as the FRIE is 0.58. Further consideration of FRIE and FRIP proportion that reveals the FRI deviation indicates that to reduce flood risk, Chianyai would need the most resources and highest effort comparison to Pakpanang and Hua-sai.

Physiographic controls on pre-event hydrological states and hydrological response to extreme precipitation in the Alzette River Basin, Luxembourg

2020 ◽  
Author(s):  
Carol Tamez-Melendez ◽  
Judith Meyer ◽  
Audrey Douinot ◽  
Günter Blöschl ◽  
Laurent Pfister
Keyword(s):  
Land Use ◽  
River Basin ◽  
Urban Areas ◽  
Large Scale ◽  
Western Europe ◽  
Flash Flood ◽  
Potential Evapotranspiration ◽  
Hydrological Regime ◽  
Area Of Interest ◽  
Wide Range

<p>The hydrological regime of rivers in Luxembourg (Central Western Europe) is characterised by summer low flows and winter high flows. In winter, large-scale floods are typically triggered by long-lasting sequences of precipitation events, related to westerly atmospheric fluxes that carry wet and temperate air masses from the Atlantic Ocean. In recent years, several flash flood events have been observed in Luxembourg. While being a common feature of Mediterranean river basins, this type of flooding events is uncommon at higher latitudes. The design of the hydro-meteorological monitoring and forecasting systems operated in Luxembourg is not adapted to this type of extreme events and there is a pressing need for a better mechanistic understanding of flash flood triggering mechanisms.</p><p>Here, we explore two lines of research – focusing on (i) the spatio-temporal variability of flash flood generation across a set of 41 nested catchments covering a wide range of physiographic settings (with mixed land use, soil types and bedrock geology) and (ii) the responsivity (resistance) and elasticity (resilience) of these catchments to global change.</p><p>Our area of interest is the Sûre River basin (4,240 km<sup>2</sup>), characterised by a homogenous climate (temperate oceanic), as well as various bedrock (e.g. sandstone, marls, shale) and land use (e.g. forests, grassland, crops, urban areas) types. Based on 8 years’ worth of daily hydrological data (precipitation, discharge and potential evapotranspiration) we computed the increments of the water balance to determine the maximum storage capacity and pre-event wetness state (expressed as storage deficit). Based on the relationship between storage deficit and discharge we first estimated total storage at nearly zero flow conditions. Second, we compared event runoff ratios (Q/P) to pre-hydrological states (as expressed to storage deficit prior to a rainfall-runoff event) in order to assess each catchment’s sensitivity to antecedent wetness conditions. Third, we assessed the responsivity (resistance) and elasticity (resilience) to climate variations – as expressed through the PET/P and AET/P deviations from the Budyko curve – for each individual catchment. Finally, we investigated potential physiographic controls on catchment responsivity and elasticity across our set of 41 nested catchments.</p>

scholarly journals Landscape analysis and land use evolution in the hydrographic basin of Barra Seca river, ES

2018 ◽  
Vol 40 ◽  
pp. 50
Author(s):  
Letícia Guarnier ◽  
Fabricia Benda de Oliveira ◽  
Vicente Sombra da Fonseca ◽  
Carlos Henrique Rodrigues de Oliveira
Keyword(s):  
Land Use ◽  
Land Cover ◽  
River Basin ◽  
Urban Areas ◽  
Supervised Classification ◽  
Evolutionary Dynamics ◽  
Tree Cover ◽  
Time Interval ◽  
Hydrographic Basin ◽  
Dense Tree

Multitemporal analysis for monitoring land cover and use is an important tool for understanding the evolutionary dynamics of a region, assisting the knowledge on the environmental reality. This study aimed at mapping the land cover classes of the Barra Seca River basin, in northern Espírito Santo, obtained using the Bhattacharya algorithm supervised classification in 1985, 1996, 2006 and 2016. The land use and occupation map allowed characterizing quantitatively the areas identified in the basin map in 10 classes as follows water bodies, agriculture and grasses, dense tree cover, sparse tree cover, exposed soil, wetlands, urban areas, rocky outcrops, shade, and clouds. The landscape maps were obtained using the Patch Analyst extension. In the studied time interval, the land use and occupation in the basin changed little, with areas dominated mostly by agriculture and grasslands, followed by forests while the basin vegetation area also remained mostly unchanged. However, the quantitative analysis using landscape metrics indicates an increasing fragmentation and edge effect in the Barra Seca River basin.

scholarly journals Isolating the impacts of land use and climate change on streamflow

2015 ◽  
Vol 19 (8) ◽  
pp. 3633-3651 ◽  
Author(s):  
I. Chawla ◽  
P. P. Mujumdar
Keyword(s):  
Climate Change ◽  
Land Use ◽  
River Basin ◽  
Urban Areas ◽  
General Circulation ◽  
General Circulation Models ◽  
Hydrologic Model ◽  
Combined Effect ◽  
Infiltration Capacity

Abstract. Quantifying the isolated and integrated impacts of land use (LU) and climate change on streamflow is challenging as well as crucial to optimally manage water resources in river basins. This paper presents a simple hydrologic modeling-based approach to segregate the impacts of land use and climate change on the streamflow of a river basin. The upper Ganga basin (UGB) in India is selected as the case study to carry out the analysis. Streamflow in the river basin is modeled using a calibrated variable infiltration capacity (VIC) hydrologic model. The approach involves development of three scenarios to understand the influence of land use and climate on streamflow. The first scenario assesses the sensitivity of streamflow to land use changes under invariant climate. The second scenario determines the change in streamflow due to change in climate assuming constant land use. The third scenario estimates the combined effect of changing land use and climate over the streamflow of the basin. Based on the results obtained from the three scenarios, quantification of isolated impacts of land use and climate change on streamflow is addressed. Future projections of climate are obtained from dynamically downscaled simulations of six general circulation models (GCMs) available from the Coordinated Regional Downscaling Experiment (CORDEX) project. Uncertainties associated with the GCMs and emission scenarios are quantified in the analysis. Results for the case study indicate that streamflow is highly sensitive to change in urban areas and moderately sensitive to change in cropland areas. However, variations in streamflow generally reproduce the variations in precipitation. The combined effect of land use and climate on streamflow is observed to be more pronounced compared to their individual impacts in the basin. It is observed from the isolated effects of land use and climate change that climate has a more dominant impact on streamflow in the region. The approach proposed in this paper is applicable to any river basin to isolate the impacts of land use change and climate change on the streamflow.

scholarly journals Population growth, land use and land cover transformations, and water quality nexus in the Upper Ganga River basin

2018 ◽  
Vol 22 (9) ◽  
pp. 4745-4770 ◽  
Author(s):  
Anoop Kumar Shukla ◽  
Chandra Shekhar Prasad Ojha ◽  
Ana Mijic ◽  
Wouter Buytaert ◽  
Shray Pathak ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Linear Regression ◽  
Land Cover ◽  
Population Growth ◽  
Multiple Linear Regression ◽  
River Basin ◽  
Urban Areas ◽  
Ganga River ◽  
Geographical Information

Abstract. The Upper Ganga River basin is socioeconomically the most important river basin in India and is highly stressed in terms of water resources due to uncontrolled land use and land cover (LULC) activities. This study presents a comprehensive set of analyses to evaluate the population growth, LULC transformations, and water quality nexus for sustainable development in this river basin. The study was conducted at two spatial scales: basin scale and district scale. First, population data were analyzed statistically to study demographic changes, followed by LULC change detection over the period of February–March 2001 to 2012 (Landsat 7 Enhanced Thematic Mapper Plus (ETM+) data) using remote sensing and geographical information system (GIS) techniques. Trends and spatiotemporal variations in monthly water quality parameters, viz. biological oxygen demand (BOD), dissolved oxygen (DO, measured in percentage), fluoride (F), hardness (CaCO3), pH, total coliform bacteria and turbidity, were studied using the Mann–Kendall rank test and an overall index of pollution (OIP) developed specifically for this region, respectively. A relationship was deciphered between LULC classes and OIP using multivariate techniques, viz. Pearson's correlation and multiple linear regression. From the results, it was observed that population has increased in the river basin. Therefore, significant and characteristic LULC changes were observed. The river became polluted in both rural and urban areas. In rural areas, pollution is due to agricultural practices, mainly fertilizers, whereas in urban areas it is mainly contributed from domestic and industrial wastes. Water quality degradation has occurred in the river basin, and consequently the health status of the river has also changed from acceptable to slightly polluted in urban areas. Multiple linear regression models developed for the Upper Ganga River basin could successfully predict status of the water quality, i.e., OIP, using LULC classes.

scholarly journals Curve Number Applications for Restoration the Zarqa River Basin

2018 ◽  
Author(s):  
Maisa'a W. Shammout ◽  
Muhammad Shatanawi ◽  
Jim Nelson
Keyword(s):  
Land Use ◽  
River Basin ◽  
Urban Areas ◽  
Crop Residues ◽  
Base Flow ◽  
Army Corps ◽  
Baseline Scenario ◽  
Desert Shrubs ◽  
Wet Condition ◽  
Zarqa River

The heavy demand of water resources from the Zarqa River Basin (ZRB) has resulted in a base-flow reduction of the River from 5m3/s to less than 1m3/s. This paper aims at predicting Curve Numbers (CN) as a baseline scenario and proposing restoration scenarios for ZRB. The method includes classifying the soil type and land use, predicting CNs, and proposing CN restoration scenarios. Prediction of existing CNs will be in parallel with the runoff prediction using the US Army Corps of Engineers HEC-1 Model, and Rainfall-Runoff Model (RRM). The models have been set up at the land use distribution of 0.3% water body, 9.3% forest and orchard, 71% mixture of grass, weeds, and desert shrubs, 7.0% crops, 4.0% urban areas, and 8.4% bare soil. The results show that CN under dry condition are 59, 78 under a normal condition and 89 under a wet condition. During vegetation period, CN are 52, 72 and 86 for the dry, normal and wet condition respectively. The restoration scenarios; CN decreases runoff, and increases soil moisture when using the contours, terraces and crop residues. Analyzing results of CN scenarios will be a fundamental tool to support end-users related to their targets to achieve watershed restoration.

scholarly journals Phosphorus and Nitrogen Status in the Terengganu River Basin, Malaysia

2020 ◽  
Vol 32 (4) ◽  
pp. 935-940
Author(s):  
Y.Y. Hee ◽  
S. Suratman
Keyword(s):  
Land Use ◽  
River Basin ◽  
Urban Areas ◽  
Anthropogenic Activities ◽  
Land Use Changes ◽  
Monitoring Program ◽  
Peninsular Malaysia ◽  
Inorganic Nutrients ◽  
Dissolved Inorganic Nutrients ◽  
The Impact

This study has been carried out in the Terengganu River basin, southern South China Sea (Malaysia), to determine the concentrations of phosphorus (P) and nitrogen (N) based nutrients and their possible sources. The dissolved inorganic nutrients in this river were found to be related to land use, where higher concentrations of dissolved inorganic nutrients were recorded at the stations near to the agricultural activities and urban areas. In contrast, dissolved organic and particulate forms of P and N were generally higher in the largely undisturbed part of the upstream, suggesting that these forms of nutrients can originate from dead organic matter and living organisms, excretion of waste by animals, soil runoff and sewage discharge. When comparing with other selected rivers in the east coast of Peninsular Malaysia, Terengganu river basin showed a relatively higher concentration of P- and N-based nutrients, probably because of the fact that the river had received high impacts of anthropogenic activities. Therefore, a regular monitoring program in this basin is important in order to capture the impact of increasing population densities, land-use changes and social-economic development to the river, which has important implications for the sustainability of Terengganu as well as of Malaysian economy.

scholarly journals Study on the Impact of Land-Use Change on Runoff Variation Trend in Luojiang River Basin, China

Water ◽  
2021 ◽  
Vol 13 (22) ◽  
pp. 3282
Author(s):  
Ji He ◽  
Yu-Rong Wan ◽  
Hai-Tao Chen ◽  
Wen-Chuan Wang
Keyword(s):  
Land Use ◽  
River Basin ◽  
Urban Areas ◽  
Assessment Tool ◽  
Swat Model ◽  
Land Use Changes ◽  
Runoff Coefficient ◽  
Runoff Variation ◽  
Runoff Change ◽  
The Impact

To reveal the influence process of land use changes on runoff variation trends, this paper takes the Luojiang River of China as the study area, and the Soil and Water Assessment Tool (SWAT) model was constructed to quantitatively analyze the impact of different land uses on runoff formation in the watershed, and used the Cellular Automata-Markov (CA-Markov) model to predict future land use scenarios and runoff change trends. The results show that: (1) the SWAT model can simulate the runoff in the Luojiang River basin; (2) the runoff in the Luojiang River basin has a decreasing trend in recent 10 years, caused by the decrease of rainfall and runoff due to changes in land use; (3) the forecast shows that the land-use changes in the basin will lead to an increase in runoff coefficient in 2025. The increase of the runoff coefficient will bring some adverse effects, and relevant measures should be taken to increase the water storage capacity of urban areas. This study can help plan future management strategies for the study area land coverage and put forward a preventive plan for the possible adverse situation of runoff variation.

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