scholarly journals Lake water volume calculation using time series LANDSAT satellite data: a geospatial analysis of Deepor Beel Lake, Guwahati

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ishita Afreen Ahmed ◽  
Shahfahad Shahfahad ◽  
Mirza Razi Imam Baig ◽  
Swapan Talukdar ◽  
Md Sarfaraz Asgher ◽  
...  
Keyword(s):  
Time Series ◽  
Lake Water ◽  
Water Surface ◽  
Water Resource Management ◽  
Storage Capacity ◽  
Water Volume ◽  
Landsat Images ◽  
Rapid Urbanization ◽  
Volume Calculation ◽  
Content Type

PurposeDeepor Beel is one of the Ramsar Site and a wetland of great biodiversity, situated in the south-western part of Guwahati, Assam. With urban development at its forefront city of Guwahati, Deepor Beel is under constant threat. The study aims to calculate the lake water volume from the water surface area and the underwater terrain data using a triangulated irregular network (TIN) volume model.Design/methodology/approachThe lake water surface boundaries for each year were combined with field-observed water level data to generate a description of the underwater terrain. Time series LANDSAT images of 2001, 2011 and 2019 were used to extract the modified normalized difference water index (MNDWI) in GIS domain.FindingsThe MNDWI was 0.462 in 2001 which reduced to 0.240 in 2019. This shows that the lake water storage capacity shrank in the last 2 decades. This leads to a major problem, i.e. the storage capacity of the lake has been declining gradually from 20.95 million m3 in 2001 to 16.73 million m3 in 2011 and further declined to 15.35 million m3 in 2019. The fast decline in lake water volume is a serious concern in the age of rapid urbanization of big cities like Guwahati.Originality/valueNone of the studies have been done previously to analyze the decline in the volume of Deepor Beel lake. Therefore, this study will provide useful insights in the water resource management and the conservation of Deepor Beel lake.

Lake water volume calculation with time series remote-sensing images

2013 ◽  
Vol 34 (22) ◽  
pp. 7962-7973 ◽  
Author(s):  
Shanlong Lu ◽  
Ninglei Ouyang ◽  
Bingfang Wu ◽  
Yongping Wei ◽  
Zelalem Tesemma
Keyword(s):  
Remote Sensing ◽  
Time Series ◽  
Lake Water ◽  
Water Volume ◽  
Remote Sensing Images ◽  
Volume Calculation

Using multi-remote sensing data to assess Phragmites invasion of the Detroit river international wildlife refuge

2016 ◽  
Vol 13 (1) ◽  
pp. 44-52
Author(s):  
Xinxia Liu ◽  
Anbing Zhang ◽  
Hefeng Wang ◽  
Haixin Liu
Keyword(s):  
Time Series ◽  
Remote Sensing Data ◽  
Support Vector ◽  
Landsat Images ◽  
Validation Data ◽  
Detroit River ◽  
Content Type ◽  
Wildlife Refuge ◽  
Integrated Time Series ◽  
Digital Orthophoto

Purpose This paper aims to develope an integrated image processing method to investigate the spatiotemporal dynamics of Phragmites invasion in the Detroit River International Wildlife Refuge on the basis of publically available sources. Design/methodology/approach This new approach integrates the standard time-series analysis of Landsat images with USDA National Agriculture Imagery Program (NAIP) imagery and USGS Digital Orthophoto Quarter Quads (DOQQ) datasets, which are either classified or manually interpreted with the aid of ground control points. Three different types of spatiotemporal dimensions are designed to test this integrated time-series image analysis method: the selected sites and selected time-points with high spatial resolution and sufficient validation data points, the intermediate time-series with continued yearly images and periodical validation data, and the long time-series with periodical images without enough validation data. The support vector machine (SVM) method was used to classify the Landast TM sequence images to detect the Phragmites invasion. Findings The habitat map produced by NAIP images and field collection data shows that the total Phragmites area of DRIWR in 2010 is 4221.87 acres without treatment areas and similar with the removed non-vegetation method. It is confirmed that the pre-classification method can obtain more accurate results. Originality value The test results show that the Landsat-5 data can be used for long-term environmental management and monitoring of Phragmites invasion and can achieve rehabilitation of invasion areas.

scholarly journals Using Landsat Images to Determine Water Storing Capacity in Mediterranean Environments

2021 ◽  
Vol 4 (4) ◽  
Author(s):  
Gema Marco Dos Santos ◽  
Jose Navarro-Pedreño ◽  
Ignacio Meléndez-Pastor ◽  
Ignacio Gómez Lucas
Keyword(s):  
Water Management ◽  
Remote Sensing ◽  
Water Surface ◽  
Water Volume ◽  
Landsat 8 ◽  
Landsat Images ◽  
Spectral Angle Mapper ◽  
Climate Conditions ◽  
Landsat 7 ◽  
Open Source Gis

Reservoirs play an important role in water management and are key elements for water supply. Monitoring is needed in order to guarantee the quantity and quality of stored water. However, this task is sometimes not easy. The objective of this study was to develop a procedure for predicting volume of stored water with remote sensing in water bodies under Mediterranean climate conditions. To achieve this objective,multispectral Landsat 7 and 8 images (NASA) were analyzed for the following five reservoirs: La Serena,La Pedrera, Beniarrés, Cubillas and Negratín (Spain). Reservoirs water surface was computed with the spectral angle mapper (SAM) algorithm.After that, cross-validation regression models were computed in order to assess the capability of water surface estimations to predict stored water in each of the reservoirs. The statistical models were trained with Landsat 7 images and were validated by using Landsat 8 images. Our results suggest a good capability of water volume prediction from free satellite imagery derived from surface water estimations. Combining free remote sensing images and open source GIS algorithms can be a very useful tool for water management and an integrated and efficient way to control water storage,especially in low accessible sites.

A system dynamics approach for basin policy design: Urmia lake case study

Kybernetes ◽  
2019 ◽  
Vol 49 (6) ◽  
pp. 1691-1720
Author(s):  
Alireza Lari ◽  
Mir Saman Pishvaee ◽  
Pouria Khodabakhsh
Keyword(s):  
System Dynamics ◽  
Water Level ◽  
Lake Water ◽  
Agricultural Sector ◽  
Urmia Lake ◽  
Water Volume ◽  
Actual Behavior ◽  
Content Type ◽  
Lake Water Level ◽  
Sd Model

Purpose Urmia lake water has impressively decreased recently and seriously endangered the lives of the inhabitants. In this paper, the effects of various factors on the reduction of the lake water are investigated and appropriate scenarios are proposed for future improvement. Due to the significant impact of agricultural issues on this crisis, this paper has focused specifically on agriculture. So, this paper aims to forecast and improve the lake water level. Design/methodology/approach In this paper, a system dynamics (SD) model, which is capable to consider various parameters and variables affecting the lake water level within nonlinear and dynamic relations, is developed. Findings To show the effectiveness of SD model, real data are used to run the model and the results show that the actual behavior of the lake water is reproduced with high validation (around 98.28 per cent). Also, five different scenarios are proposed to increase lake water volume. The hybrid Scenario 5 (which combines three other scenarios including increasing irrigation efficiency in the agricultural sector, changing cultivation pattern of agricultural products and returning some dams’ water that are consumed in the agricultural sector into the lake) is chosen as the most effective scenario for increasing lake volume about 15 billion m3. Originality/value The main contributions of this paper are systemic view to the whole problem, paying attention to the agriculture subject as one of the most important issues, considering many critical variables (e.g. evaporation, salinity and precipitation) and providing improvement policies along with assessing the effects of them.

scholarly journals Estimation of the Nutrient and Chlorophyll a Reference Conditions in Taihu Lake Based on A New Method with Extreme–Markov Theory

2018 ◽  
Vol 15 (11) ◽  
pp. 2372 ◽  
Author(s):  
Liang Wang ◽  
Yulin Wang ◽  
Haomiao Cheng ◽  
Jilin Cheng
Keyword(s):  
Time Series ◽  
Resource Management ◽  
Chlorophyll A ◽  
Water Resource ◽  
Lake Water ◽  
Water Resource Management ◽  
Taihu Lake ◽  
Reference Conditions ◽  
New Method ◽  
Series Data

The nutrient reference conditions of lakes play a key role for lake water quality control and water resource management. The inferential models are important methods for calculating reference values; however, the dependence and “cluster” in time series make time series data difficult to be applied in these methods. A new method based on Markov chain theory, which is used for modeling the dependence of data, and extreme statistics was proposed. The new method was used to estimate the nutrient and chlorophyll a reference conditions in Taihu Lake, which is the third largest freshwater lake in China. The results showed that there was remarkable dependence between the effective observations of total nitrogen (TN), total phosphorus (TP), and chlorophyll a. The recommended reference conditions of TN, TP, and chlorophyll a in Taihu Lake were 0.69 mg/L, 0.029 mg/L, and 1.89 μg/L. Their 95% confidence intervals were 0.62–0.76 mg/L, 0.028–0.030 mg/L, and 1.55–2.23 μg/L. These results were consistent with previous researches, which showed that the proposed method is reliable and effective. The length of the intervals was remarkably reduced when compared with several methods. This implied that the proposed method could make full use of the observation data in time series and significantly improve the precision of the estimation results of reference conditions. In general, the proposed method could provide high precision and reliable lake nutrient reference conditions, which would be beneficial to lake water resource management and can be used for estimating the TN, TP, and chlorophyll a reference conditions of other lakes.

scholarly journals EVALUATION AND ANALYSIS OF URMIA LAKE WATER LEVEL FLUCTUATIONS BETTWEN 1998-2006 USING LANDSAT IMAGES AND TOPEX ALTIMETRY DATA

2015 ◽  
Vol XL-1-W5 ◽  
pp. 549-554
Author(s):  
N. Zahir ◽  
A. Ali
Keyword(s):  
Water Level ◽  
Water Level Fluctuations ◽  
Water Volume ◽  
Altimetry Data ◽  
Landsat Images ◽  
Volume Calculation ◽  
Lake Water Level ◽  
Shrinkage Process ◽  
Fluctuation Rate ◽  
Salient Points

The Lake Urmiah has undergone a drastic shrinkage in size over the past few decades. The initial intention of this paper is to present an approach for determining the so called “salient times” during which the trend of the shrinkage process is accelerated or decelerated. To find these salient times, a quasi_continuous curve was optimally fitted to the Topex altimetry data within the period 1998 to 2006. To find the salient points within this period of time, the points of inflections of the fitted curve is computed using a second derivative approach. The water volume was also computed using 16 cloud free Landsat images of the Lake within the periods of 1998 to 2006. In the first stage of the water volume calculation, the pixels of the Lake were segmented using the Automated Water Extraction Index (AWEI) and the shorelines of the Lake were extracted by a boundary detecting operator using the generated binary image of the Lake surface. The water volume fluctuation rate was then computed under the assumption that the two successive Lake surfaces and their corresponding water level differences demonstrate approximately a truncated pyramid. The analysis of the water level fluctuation rates were further extended by a sinusoidal curve fitted to the Topex altimetry data. This curve was intended to model the seasonal fluctuations of the water level. In the final stage of this article, the correlation between the fluctuation rates and the precipitation and temperature variations were also numerically determined. This paper reports in some details the stages mentioned above.

scholarly journals Quantifying the Contributions of Climate Change and Human Activities to Water Volume in Lake Qinghai, China

2021 ◽  
Vol 14 (1) ◽  
pp. 99
Author(s):  
Guoqing Yang ◽  
Miao Zhang ◽  
Zhenghui Xie ◽  
Jiyuan Li ◽  
Mingguo Ma ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Volume Change ◽  
Lake Water ◽  
Human Activities ◽  
Water Resource Management ◽  
Assessment Tool ◽  
Water Volume ◽  
Lake Qinghai ◽  
Adaptation To Climate Change

Lake Qinghai has shrunk and then expanded over the past few decades. Quantifying the contributions of climate change and human activities to lake variation is important for water resource management and adaptation to climate change. In this study, we calculated the water volume change of Lake Qinghai, analyzed the climate and land use changes in Lake Qinghai catchment, and distinguished the contributions of climate change and local human activities to water volume change. The results showed that lake water volume decreased by 9.48 km3 from 1975 to 2004 and increased by 15.18 km3 from 2005 to 2020. The climate in Lake Qinghai catchment is becoming warmer and more pluvial, and the changes in land use have been minimal. Based on the Soil and Water Assessment Tool (SWAT), land use change, climate change and interaction effect of them contributed to 7.46%, 93.13% and −0.59%, respectively, on the variation in surface runoff into the lake. From the perspective of the water balance, we calculated the proportion of each component flowing into and out of the lake and found that the contribution of climate change to lake water volume change was 97.55%, while the local human activities contribution was only 2.45%. Thus, climate change had the dominant impact on water volume change in Lake Qinghai.

scholarly journals Quantifying the impacts of human water use and climate variations on recent drying of Lake Urmia basin: the value of different sets of spaceborne and in-situ data for calibrating a hydrological model

2018 ◽  
Author(s):  
Seyed-Mohammad Hosseini-Moghari ◽  
Shahab Araghinejad ◽  
Mohammad J. Tourian ◽  
Kumars Ebrahimi ◽  
Petra Döll
Keyword(s):  
Time Series ◽  
Water Use ◽  
Lake Water ◽  
Water Storage ◽  
Water Volume ◽  
Total Water ◽  
Lake Urmia ◽  
Groundwater Levels ◽  
Lake Volume

Abstract. During the last decades, the endorheic Lake Urmia basin in northwestern Iran has suffered from decreased precipitation, groundwater levels and a very strong reduction in the volume and more recently also in the extent of Lake Urmia. Human water use has exacerbated the desiccating impact of climatic variations. This study quantifies the contribution of human water use to the reduction of inflow into Lake Urmia, to the loss of lake water volume and to the loss of groundwater and total water storage in the entire Lake Urmia basin during 2003–2013. To this end, the WaterGAP Global Hydrology Model (WGHM) was manually calibrated specifically for the basin against multiple in-situ and spaceborne data, and the best-performing calibration variant was run with or without taking into account water use. Observation data encompass remote-sensing based time series of annual irrigated area in the basin from MODIS, monthly total water storage anomaly (TWSA) from GRACE satellites and monthly lake volume. In-situ observations include time series of annual inflow into the lake and basin averages of groundwater level variations based on 284 wells. In addition, local estimates of sectoral water withdrawals in 2009 and return flow fractions were utilized. Four calibration variants were set up in which the number of considered observation types was increased in a stepwise fashion. The best fit to each and all observations is achieved if the maximum amount of observations is used for calibration. Calibration against GRACE TWSA improves simulated inflow into Lake Urmia but still overestimates it by 90 %; it results in an overestimation of lake volume loss, underestimation of groundwater loss and a shifted seasonality of groundwater storage. Lake and groundwater dynamics can only be simulated well if calibration against groundwater levels leads to adjusting the fractions of human water use from groundwater and surface water. According to our study, human water use was the reason for 50 % of the total basin water loss of about 10 km3 during 2003–2013, for 40 % of the Lake Urmia water loss of about 8 km3 and for up to 90 % of the groundwater loss. Lake inflow was 40 % less than it would have been without human water use. We found that even without human water use, Lake Urmia would not have recovered from the significant loss of lake water volume caused by the drought year 2008. These findings may serve to support water management in the basin and more specifically Lake Urmia restoration plans.

scholarly journals Terminal motions of Longbasaba Glacier and their mass contributions to proglacial lake volume during 1988–2018

2020 ◽  
Author(s):  
Junfeng Wei ◽  
Shiyin Liu ◽  
Te Zhang ◽  
Xin Wang ◽  
Yong Zhang ◽  
...  
Keyword(s):  
Lake Water ◽  
Local Governments ◽  
Mitigation Measures ◽  
Glacial Lake ◽  
Water Volume ◽  
Landsat Images ◽  
Glacier Surface ◽  
Glacier Shrinkage ◽  
Lake Volume ◽  
Proglacial Lake

Abstract. The interaction between a glacier and its glacial lake plays an increasingly important role in glacier shrinkage and proglacial lake expansion, and it increases the risk of glacial lake outburst floods (GLOFs). Longbasaba Glacier is directly contacted by a moraine-dammed lake with a high outburst risk in the central Himalayas, and has drawn a great deal of attention from scientists and local governments. Based on Landsat images and in-situ measurements, the evolution records of the shrinkage of Longbasaba Glacier and the corresponding expansion of its proglacial lake were determined for 1988–2018, and the mass contributions of glacier shrinkage to the increase in lake water volume were assessed. During the past three decades, Longbasaba Glacier has experienced a continuous and accelerating recession in glacier area and length but accompanied by the decelerating surface lowing and ice flow. Consequently, Longbasaba Lake has expanded significantly at an accelerating rate. The glacier surface lowering played a predominant role in the mass contribution of glacier shrinkage to the increase in lake water volume, while ice avalanches were the main potential trigger for failure of moraine dams and subsequent GLOF events. Due to the areal expansion, decreasing mass contributions from parent glacier shrinkage, and some mitigation measures by local governments to improve the drainage systems, the potential risk of outburst for Longbasaba Lake has continuously decreased during the last decade.

Sign in / Sign up

Export Citation Format

Share Document