scholarly journals Effect of Land Use Changes on Water Quality in an Ephemeral Coastal Plain: Khambhat City, Gujarat, India

Water ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 724 ◽  
Author(s):  
Pankaj Kumar ◽  
Rajarshi Dasgupta ◽  
Brian Johnson ◽  
Chitresh Saraswat ◽  
Mrittika Basu ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Groundwater Quality ◽  
Coastal Plain ◽  
Land Use Changes ◽  
Rapid Expansion ◽  
Barren Land ◽  
Bare Land ◽  
The Impact ◽  
Use Categories

Rapid changes in land use and land cover pattern have exerted an irreversible change on different natural resources, and water resources in particular, throughout the world. Khambhat City, located in the Western coastal plain of India, is witnessing a rapid expansion of human settlements, as well as agricultural and industrial activities. This development has led to a massive increase in groundwater use (the only source of potable water in the area), brought about significant changes to land management practices (e.g., increased fertilizer use), and resulted in much greater amounts of household and industrial waste. To better understand the impacts of this development on the local groundwater, this study investigated the relationship between groundwater quality change and land use change over the 2001–2011 period; a time during which rapid development occurred. Water quality measurements from 66 groundwater sampling wells were analyzed for the years 2001 and 2011, and two water quality indicators (NO3− and Cl− concentration) were mapped and correlated against the changes in land use. Our results indicated that the groundwater quality has deteriorated, with both nitrate (NO3−) and chloride (Cl−) levels being elevated significantly. Contour maps of NO3− and Cl− were compared with the land use maps for 2001 and 2011, respectively, to identify the impact of land use changes on water quality. Zonal statistics suggested that conversion from barren land to agricultural land had the most significant negative impact on water quality, demonstrating a positive correlation with accelerated levels of both NO3− and Cl−. The amount of influence of the different land use categories on NO3− increase was, in order, agriculture > bare land > lake > marshland > built-up > river. Whereas, for higher concentration of Cl− in the groundwater, the order of influence of the different land use categories was marshland > built-up > agriculture > bare land > lake > river. This study will help policy planners and decision makers to understand the trend of groundwater development and hence to take timely mitigation measures for its sustainable management.

scholarly journals Re-examination of hydrochemistry and groundwater potentials of Cross River and Imo-Kwa-Ibo intersecting Tropical Basins of South-South Nigeria

2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Saadu Umar Wali ◽  
Ibrahim Mustapha Dankani ◽  
Sheikh Danjuma Abubakar ◽  
Murtala Abubakar Gada ◽  
Kabiru Jega Umar ◽  
...  
Keyword(s):  
Water Quality ◽  
Electrical Conductivity ◽  
Land Use ◽  
Drinking Water ◽  
Groundwater Quality ◽  
Land Use Changes ◽  
Quality Indices ◽  
Cross River ◽  
Groundwater Aquifers ◽  
The Impact

This review attempted a detailed description of geological and hydrogeological configurations of Cross River and Imo-Akwa Ibo basins. It presented a synthesis of hydrochemistry and a description of the hydrogeological configurations of the two basins. Hydrogeologically, most areas under Cross River and  Imo-Kwa-Ibo are poor in terms of groundwater potentials. Based on the hydrochemistry, the basins hold water of excellent quality.  Groundwater sources fall in soft to moderately hard classes. The entire sources groundwater has a TDS concentration of less than 500 mg/l. Groundwater classification based on electrical conductivity (EC) showed EC levels were less than 500  µS/cm. Most of the examined cations and anions are within WHO reference guidelines for drinking water quality. However, no broad analysis of water quality based on water quality indices. Also, studies modeling pollution or the impact of land use changes on groundwater quality are wanting. Thus, further analysis of the hydrochemistry of groundwater aquifers is recommended.

scholarly journals The effect of land use changes to discharge extremities in Cimahi Watershed – Upper Citarum Watershed, West Java

2020 ◽  
Vol 148 ◽  
pp. 07002
Author(s):  
Siti Ai Nurhayati ◽  
Arwin Sabar ◽  
Mariana Marselina
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Rock Type ◽  
Land Use Changes ◽  
Base Flow ◽  
Watershed Area ◽  
Landuse Change ◽  
Hydrological Conditions ◽  
The Impact ◽  
Land Changes

The development of cities and regencies in the Cimahi watershed area increases the rate of population growth which results in high land requirements in the Cimahi watershed area. Land se change affects the flow of runoff and debit of the Cimahi River. The purpose of this research is to assess the hydrological function area in the Cimahi watershed, the impact of the land use change and to analyze the effect of landuse change in the Cimahi watershed on the extremity of water resources in terms of both quantity and quality. The natural conservation index and the actual conservation index (IKA and IKC) are used as a parameter to indicate the existing hydrological conditions and ideal hydrological conditions for conservation which are calculated based on rainfall, rock type, slope, height and land use. The results of the conservation index showed that there was a decrease in the value of the IKC from 0.637 in 2000 to 0.608 in 2012. The debit extremity could be seen based on the calculations by moving averages on the debit data, and the resulting maximum debit value was greater and the value of the base flow (baseflow) was getting smaller. Land changes in the Cimahi watershed also had an influence on the river water quality.

scholarly journals Detecting and predicting the impact of land use changes on groundwater quality, a case study in Northern Kelantan, Malaysia

2017 ◽  
Vol 599-600 ◽  
pp. 844-853 ◽  
Author(s):  
Tahoora Sheikhy Narany ◽  
Ahmad Zaharin Aris ◽  
Anuar Sefie ◽  
Saskia Keesstra
Keyword(s):  
Land Use ◽  
Groundwater Quality ◽  
Land Use Changes ◽  
The Impact

scholarly journals Analyzing historical land use changes using a Historical Land Use Reconstruction Model: a case study in Zhenlai County, northeastern China

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Yuanyuan Yang ◽  
Shuwen Zhang ◽  
Yansui Liu ◽  
Xiaoshi Xing ◽  
Alex de Sherbinin
Keyword(s):  
Land Use ◽  
Land Use Changes ◽  
Arable Land ◽  
Modeling Framework ◽  
Map Comparison ◽  
Adequate Model ◽  
Historical Land Use ◽  
The Impact ◽  
Reconstruction Model ◽  
Use Categories

Abstract Historical land use information is essential to understanding the impact of anthropogenic modification of land use/cover on the temporal dynamics of environmental and ecological issues. However, due to a lack of spatial explicitness, complete thematic details and the conversion types for historical land use changes, the majority of historical land use reconstructions do not sufficiently meet the requirements for an adequate model. Considering these shortcomings, we explored the possibility of constructing a spatially-explicit modeling framework (HLURM: Historical Land Use Reconstruction Model). Then a three-map comparison method was adopted to validate the projected reconstruction map. The reconstruction suggested that the HLURM model performed well in the spatial reconstruction of various land-use categories, and had a higher figure of merit (48.19%) than models used in other case studies. The largest land use/cover type in the study area was determined to be grassland, followed by arable land and wetland. Using the three-map comparison, we noticed that the major discrepancies in land use changes among the three maps were as a result of inconsistencies in the classification of land-use categories during the study period, rather than as a result of the simulation model.

Assessing the impact of agricultural land use changes on water quality

1999 ◽  
Vol 40 (2) ◽  
pp. 1-10 ◽  
Author(s):  
R. Meissner ◽  
J. Seeger ◽  
H. Rupp ◽  
H. Balla
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Agricultural Land Use ◽  
N Loss ◽  
Ground Water Recharge ◽  
Catchment Areas ◽  
One Year ◽  
The Impact

To study and predict environmental impacts of land use changes on water quality we conducted different types of lysimeter experiments. All of them are linked to representative experimental catchment areas in the field. This allows the verification and extrapolation of lysimeter results. The objective of this paper is to discuss a strategy for using and scaling-up of lysimeter results to a field and catchment scale. It will be shown that the N-loss determined with lysimeters falls within the variation of N-balance based model calculations, and also within ground water recharge rates calculated with models commonly used in hydrology. Extrapolation of lysimeter data to a catchment with similar soils provides a reliable basis for estimating the N-leaching caused by a change in agricultural land use. On the basis of the N-loss from the soil and the N-load of the stream, the calculations show that an increase in the proportion of one year rotation fallow from 10 to 25% results in nearly a 10% increase in the N-load of the stream. However, from the point of view of protecting drinking water quality, rotation fallow for one year is not recommended because of the resulting intensified leaching of nitrates.

scholarly journals Effect of Land Use Changes on the Urban Surface Temperature in Umuahia Town, Southeast, Nigeria

2021 ◽  
Vol 5 (2) ◽  
pp. 433-443
Author(s):  
F. Ike ◽  
I.C. Mbah ◽  
C.R. Otah ◽  
J. Babington ◽  
L. Chikwendu
Keyword(s):  
Land Use ◽  
Surface Temperature ◽  
Land Surface ◽  
Urban Areas ◽  
Land Use Changes ◽  
Temporal Distribution ◽  
Urban Surface ◽  
Temperature Profiles ◽  
Bare Land ◽  
The Impact

The land surfaces of hot-humid tropical urban areas are exposed to significant levels of solar radiation. Increased heat gain adds to different land surface temperature profiles in cities, resulting in different thermal discomfort thresholds. Using multi-temporal (1986, 2001, and 2017) landsat data, this study examined the impact of land use change on urban temperature profiles in Umuahia, Nigeria. The findings revealed that over time, built-up regions grow in surface area and temperature at the expense of other land use. The transfer matrix, showed that approximately 59.88 percent of vegetation and 8.23 percent of bareland were respectively changed into built up during the course of 31 years. The highest annual mean temperature in built-up regions was 21.50°C in 1986, 22.20°C in 2001, and 26.01°C in 2017. Transect profiles across the landuses reveals that surface Temperature rises slowly around water/vegetation and quickly over built-up and bare land area. The study observed drastic changes in land cover with a corresponding increase in surface temperature for the period between 1986 and 2017 with consistent decrease in water bodies and bare land in the study area. Overall, the spatio-temporal distribution of surface temperature in densely built up areas was higher than the adjacent rural surroundings, which is evidence of Urban Heat Island. The impact of landuse change on urban surface temperature profiles could provide detailed data to planners and decision makers in evaluating thermal comfort levels and other risk considerations in the study area.

scholarly journals STUDI INDEKS KUALITAS TANAH SERTA BIOINDIKATOR KUALITAS AIR DI DAS MIKRO SISIM KOTA BATU

2020 ◽  
Vol 8 (1) ◽  
pp. 203-213
Author(s):  
Shofie Rindi Nurhutami ◽  
Zaenal Kusuma ◽  
Istika Nita
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Soil Quality ◽  
Land Use Changes ◽  
Pollution Index ◽  
Health Condition ◽  
Soil Quality Index ◽  
Water Pollution Index ◽  
Landuse Change ◽  
The Impact

Landuse change causes the decrease of soil quality, so the hydrological and non-hydrological functions do not run optimally. Sisim Micro Watershed‘s area of ± 933.17 ha with a very steep slope has undergone major land-use changes. Soil Quality Index (SQI) analysis and water quality bioindicators are needed to assess the impact of land-use change. This study used 12 soil sampling plots, i.e. production forest (H2, H3, H4, H5), mixed gardens (KC2, KC3, KC4, KC5), and fields (T2, T3, T4, T5). The numbers behind the code indicate slope; 2 (slope 8-15%), 3 (slope 15-25%), 4 (slope 25-40%), and 5 (slope 40-60%). The results showed that dense vegetation and low intensity of tillage gave the best SQI. The highest SQI value was on H5 (0.63) with a good category, and the lowest was on T5 (0.32) with a bad category. The water quality bioindicator showed water pollution index of 1.97 (dirty water quality and rather heavily polluted). Soil quality which is dominated by low categories with high agricultural intensity and community waste disposal causes health condition of biotic habitats classified as unhealthy with a score of 1.90.

Trip Generation Rates of Land Uses in a Developing Country City

2020 ◽  
Vol 2674 (9) ◽  
pp. 412-425
Author(s):  
Tanjeeb Ahmed ◽  
Suman Kumar Mitra ◽  
Rezwana Rafiq ◽  
Sanjana Islam
Keyword(s):  
Land Use ◽  
Land Use Changes ◽  
Capital City ◽  
Land Uses ◽  
Trip Generation ◽  
Land Use Pattern ◽  
Transportation Demand ◽  
Comparison Results ◽  
The Impact ◽  
Use Categories

In recent decades, a major shift in the land use pattern has been observed in Dhaka, the capital city of Bangladesh. To understand and model the impact of these land use changes on transportation demand, this study aimed to determine the trip generation rates for six different land use categories adjacent to Mirpur Road in Dhaka. A total of 20 establishments consisting of six land use categories were selected for the collection of data on person trip rates and respective modal share by manual counts and intercept surveys. These data were used to develop vehicular trip generation rates for each land use category in passenger car equivalents as a uniform unit of comparison. Results showed that commercial and healthcare land uses had the highest average and peak-hour trip rates. There was also a significant variation in the share of eight transport mode categories among the trips generated by the land uses. The peak-hour trip generation rates of the study area were found to be different from the values established by the Institute of Transportation Engineers which corresponds to the fact that trip generation depends on a host of factors, such as surrounding land uses, modal share, the economic condition of a region, and so forth, rather than on a single factor inherent to the land use. The findings of this research can help to determine the trip generation impact of new establishments and consequently identify suitable locations to minimize the impact.

scholarly journals Impacts of Land-Use Changes on Water Quality by an Application of GIS Analysis: a Case Study of Nerus River, Terengganu, Malaysia

2018 ◽  
Vol 7 (3.14) ◽  
pp. 155 ◽  
Author(s):  
Mohd Ekhwan Toriman ◽  
Hassan Mohammed Ali Alssgeer ◽  
Muhammad Barzani Gasim ◽  
Khairul Amri Kamarudin ◽  
Mabroka Mohamed Daw ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Land Cover ◽  
Land Use Changes ◽  
Quality Standard ◽  
Statistical Technique ◽  
Quality Analysis ◽  
Quality Data ◽  
Water Quality Data ◽  
The Impact

The impact of land use change on water quality of Nerus River Kuala Terengganu is an event that needs to be taken seriously in this study. The objectives of the study area are to carried out 13 parameters water quality samplings and analysis of Nerus River as well as to classify water quality concentration based on NWQS and WQI classifications; to interpret 2000 and 2013 land use/land cover maps of Nerus River Basin and to evaluate water quality data by statistical technique such as similarities and dissimilarities between sampling stations to determine pollution sources. Methods that were used in study area GIS will use to classify land cover/land use changes in the catchment between 2000 and 2013 land use maps. Water quality analysis and monitoring were done based on three sampling stations during both dry and wet seasons, involving analysis 13 water quality parameters. Water quality classification is using the National Water Quality Standard (NWQS) and the Water Quality Index (WQI). Statistical analysis such as similarities and dissimilarities between sampling stations was applied. Results of the study show that the river was classified as class II (slightly polluted), III (moderately polluted) in accordance with previous studies.  

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