Changes in agricultural cropland areas between a water-surplus year and a water-deficit year impacting food security, determined using MODIS 250 m time-series data and spectral matching techniques, in the Krishna River basin (India)

2011 ◽  
Vol 32 (12) ◽  
pp. 3495-3520 ◽  
Author(s):  
Murali Krishna Gumma ◽  
Prasad S. Thenkabail ◽  
I. V. Muralikrishna ◽  
Manohar N. Velpuri ◽  
Parthasarathi T. Gangadhararao ◽  
...  
Keyword(s):  
Time Series ◽  
Food Security ◽  
Water Deficit ◽  
River Basin ◽  
Time Series Data ◽  
Series Data ◽  
Spectral Matching ◽  
Water Surplus ◽  
Matching Techniques

scholarly journals Superiority of Hybrid Soft Computing Models in Daily Suspended Sediment Estimation in Highly Dynamic Rivers

2021 ◽  
Vol 13 (2) ◽  
pp. 542
Author(s):  
Tarate Suryakant Bajirao ◽  
Pravendra Kumar ◽  
Manish Kumar ◽  
Ahmed Elbeltagi ◽  
Alban Kuriqi
Keyword(s):  
Time Series ◽  
Wavelet Transform ◽  
Suspended Sediment ◽  
River Basin ◽  
Time Series Data ◽  
Series Data ◽  
Discrete Wavelet ◽  
Original Time Series ◽  
Inference System ◽  
Original Time

Estimating sediment flow rate from a drainage area plays an essential role in better watershed planning and management. In this study, the validity of simple and wavelet-coupled Artificial Intelligence (AI) models was analyzed for daily Suspended Sediment (SSC) estimation of highly dynamic Koyna River basin of India. Simple AI models such as the Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) were developed by supplying the original time series data as an input without pre-processing through a Wavelet (W) transform. The hybrid wavelet-coupled W-ANN and W-ANFIS models were developed by supplying the decomposed time series sub-signals using Discrete Wavelet Transform (DWT). In total, three mother wavelets, namely Haar, Daubechies, and Coiflets were employed to decompose original time series data into different multi-frequency sub-signals at an appropriate decomposition level. Quantitative and qualitative performance evaluation criteria were used to select the best model for daily SSC estimation. The reliability of the developed models was also assessed using uncertainty analysis. Finally, it was revealed that the data pre-processing using wavelet transform improves the model’s predictive efficiency and reliability significantly. In this study, it was observed that the performance of the Coiflet wavelet-coupled ANFIS model is superior to other models and can be applied for daily SSC estimation of the highly dynamic rivers. As per sensitivity analysis, previous one-day SSC (St-1) is the most crucial input variable for daily SSC estimation of the Koyna River basin.

scholarly journals ANALISIS STRATEGI PENGUATAN KETAHANAN PANGAN BERAS DI KABUPATEN OGAN KOMERING ULU

2019 ◽  
Vol 15 (2) ◽  
pp. 97
Author(s):  
Ema Pusvita ◽  
Sriati Sriati ◽  
Dessy Adriani
Keyword(s):  
Time Series ◽  
Food Security ◽  
Food Availability ◽  
Food Access ◽  
Time Series Data ◽  
Food Prices ◽  
Series Data ◽  
Food Reserves ◽  
Access To Food ◽  
Improve Food Security

<p align="center"> </p><p><em>Analysis of strengthen strategies of food rice security in Ogan Komering Ulu Regency is a</em><em> bundle</em><em> strategy to improve food security in dimensions of availability, stability and food access. This research </em><em>was </em><em>historical research.It use</em><em>d</em><em> time series data, during 26 years period. Technique in collecting data used questionnaires. Data analysis use</em><em>d</em><em> multiple regression analysis and SWOT matrix. Data presents in tables andpicture, as well as narration to interpret the data.The results of research showes that food security conditions in OKU regency still can meet the needs of rice. Adequacy of food availability, stability and access to food in OKU regency has a surplus of rice along 26 years period. This also shows that OKU regency is able to meet the needs of food rice. The factors that affect food security are (1) the availability of food with a variable land area, production and productivity, (2) stability with variable food consumption, food availability and food access, and (3) access to food that is variable income, the price of rice, the price of corn.Strategies undertaken to improve food security are doing expansion field and farming intensification, applying a single policy basic price of grain, local government policy to apply the regulation about land use, developing of farming with institutional concept, diversifying crops, reducing consumption rice, stabilizing food prices, and improving food reserves. It can be concluded thatstrategy of strengthening food security can be improved by implementing capabilities, minimizing shortage, maximizing opportunities, and overcoming the threats. This study suggest that government should follow the concept of food securitydevelopment and implement the strategy.</em></p><p><em> </em></p><p align="center">ABSTRAK</p><p align="center"> </p><p>Analisis strategi penguatan ketahanan pangan beras di Kabupaten Ogan Komering Ulu adalah suatu strategi yang berfungsi untuk meningkatkan ketahanan pangan dengan dimensi ketersediaan, stabilitas dan akses pangan. Penelitian ini adalah penelitian bersifat <em>historical</em> (sejarah), menggunakan data runtun waktu (<em>time series</em>) yaitu selama kurun waktu 26 tahun. Teknik mengumpulan data menggunakan panduan kuisioner. Untuk analisis data menggunakan analisis regresi berganda dan matrik SWOT. Data disajikan dalam bentuk tabel dan gambar serta narasi untuk menginterpretasikan data tersebut. Hasil penelitian menunjukan bahwa kondisi ketahanan pangan di Kabupaten OKU masih dapat memenuhi kebutuhan beras masyarakatnya. Kecukupan ketersediaan pangan, stabilitas dan akses pangan yang ada di wilayah Kabupaten OKU mengalami surplus beras selama kurun waktu 26 tahun. Hal ini juga menunjukan bahwa Kabupaten OKU mampu mencukupi kebutuhan pangan beras masyarakatnya. Faktor-faktor yang mempengaruhi ketahanan pangan yaitu (1) ketersediaan pangan dengan variable luas lahan, produksi dan produktifitas, (2) stabilitas pangan dengan variable konsumsi, ketersediaan pangan dan akses pangan, serta (3) akses pangan variable yaitu pendapatan, harga beras, harga jagung. Strategi yang dilakukan untuk meningkatkan ketahanan pangan di Kabupaten OKU yaitu melakukan areal ekstensifikasi dan intensifikasi usahatani, menerapkan kebijakan tunggal harga dasar gabah, kebijakan pemerintah daerah untuk mengeluarkan peraturan tentang alihfungsi lahan, pengembangan usahatani dengan konsep kelembagaan, melakukan diversifikasi tanaman pangan, menurunkan tingkat konsumsi beras, menjaga stabilitas harga pangan, serta penguatkan cadangan pangan. Dapat disimpulkan bahwa strategi penguatan ketahanan pangan dapat ditingkatkan dengan menerapkan kemampuan, meminimalkan kekurangan, memaksimalkan peluang yang ada serta mengatasi ancaman yang menantang. Saran penelitian ini hendaknya pemerintah menindaklanjuti konsep pengembangan ketahanan pangan serta mengimplementasikan strategi tersebut.</p>

scholarly journals Aquaculture Production and Consumption of Fish in India

2021 ◽  
Vol 10 (1) ◽  
pp. 21-26
Author(s):  
Dhanya Sai Das ◽  
R Govindasamy
Keyword(s):  
Growth Rate ◽  
Time Series ◽  
Food Security ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Food Protein ◽  
Fish Production ◽  
Total Fish ◽  
The Government

Aquaculture and fisheries emerged as an important source of food, protein, nutrition, livelihood and employment for the majority of the rural population. The fisheries sector has registered a sustainable and astounding growth rate over the last decade. The sector offers an attractive and promising future for employment, livelihood and food security. The study is based on the available secondary data from different aspects of fishery statistics published in Handbook on Fisheries Statistics 2020 by the Government of India and other related articles. Data for the time series analysis was taken from 2001-02 to 2017-18. It is found that the world per capita apparent consumption of fish has been increased by 10.4 kg from the 1960s (i.e., 9.9 kg) to 2016 (i.e., 20.30 kg). By analysing the time-series data, it is evident that the total fish production, including both marines and inland, has shown an astounding growth with a Compound Growth Rate of 4.58. The regression equation was Y = 5.182X – 12267, R2 value was 0.9414 where Y is the total fish production (dependent variable) and X is the total fish seed production (independent variable). There exists a positive relationship between fish seed and fish production in the country. It can be concluded that aquaculture plays a significant role in the country’s GDP rate and food security.

Land use/land cover (LULC) classification with MODIS time series data and validation in the Amur River Basin

2011 ◽  
Vol 32 (1) ◽  
pp. 9-15 ◽  
Author(s):  
Kaishan Song ◽  
Zongmin Wang ◽  
Qingfeng Liu ◽  
Dianwei Liu ◽  
V. V. Ermoshin ◽  
...  
Keyword(s):  
Land Use ◽  
Time Series ◽  
Land Cover ◽  
River Basin ◽  
Time Series Data ◽  
Series Data ◽  
Amur River Basin ◽  
Land Use Land Cover ◽  
Amur River ◽  
The Amur River

Customization of the OSSEM model for application to annual data from the Talar aquifer, Northern Iran

2015 ◽  
Vol 15 (3) ◽  
pp. 656-666
Author(s):  
Nazila Sedaei ◽  
Abolghasem Akbari ◽  
Leila Sedaei ◽  
Jonathan Peter Cox
Keyword(s):  
Time Series ◽  
Water Resources ◽  
Water Deficit ◽  
Time Series Data ◽  
Driving Forces ◽  
Anthropogenic Activities ◽  
Government Support ◽  
Series Data ◽  
Annual Data ◽  
Water Resource System

There are several principal driving forces behind the damaging coastal water resources depletion in many countries, including: high population growth, degrading water resources due to overexploitation and contamination, lack of awareness among local beneficiaries regarding sustainable management, and deficient government support and enforcement of conservation programs. To ensure a water resource system is productive in coastal areas, holistic and comprehensive management approaches are required. To address the aforementioned issues, a combined methodology which considers anthropogenic activities, together with environmental problems defined as the Overall Susceptibility Socio-Ecological System Environmental Management (OSSEM) has been investigated. The OSSEM model has been applied successfully in Spain based upon daily time series data. This research is ground breaking in that it integrates the OSSEM model in a geographic information system (GIS) environment to assess the groundwater contamination based on annual time series data and the assessment of system management by means of an overall susceptibility index (OSI). Centered on OSI indicators, the renewal, salinization and water deficit potentials in the Talar aquifer were estimated to be 4.89%, 4.61%, and 3.99%, respectively. This data demonstrates a high susceptibility in terms of environmental pollution, salinization, and water deficit.

scholarly journals A non-equilibrium formulation of food security resilience

2017 ◽  
Vol 4 (1) ◽  
pp. 160874 ◽  
Author(s):  
Matteo Smerlak ◽  
Bapu Vaitla
Keyword(s):  
Time Series ◽  
Food Security ◽  
High Frequency ◽  
Time Series Data ◽  
Security Policies ◽  
Series Data ◽  
Poor Countries ◽  
Long Run ◽  
Per Capita ◽  
Non Equilibrium

Resilience, the ability to recover from adverse events, is of fundamental importance to food security. This is especially true in poor countries, where basic needs are frequently threatened by economic, environmental and health shocks. An empirically sound formalization of the concept of food security resilience, however, is lacking. Here, we introduce a general non-equilibrium framework for quantifying resilience based on the statistical notion of persistence. Our approach can be applied to any food security variable for which high-frequency time-series data are available. We illustrate our method with per capita kilocalorie availability for 161 countries between 1961 and 2011. We find that resilient countries are not necessarily those that are characterized by high levels or less volatile fluctuations of kilocalorie intake. Accordingly, food security policies and programmes will need to be tailored not only to welfare levels at any one time, but also to long-run welfare dynamics.

scholarly journals Mapping Irrigated Areas Using MODIS 250 Meter Time-Series Data: A Study on Krishna River Basin (India)

Water ◽  
2011 ◽  
Vol 3 (1) ◽  
pp. 113-131 ◽  
Author(s):  
Murali Krishna Gumma ◽  
Prasad S. Thenkabail ◽  
Andrew Nelson
Keyword(s):  
Time Series ◽  
River Basin ◽  
Time Series Data ◽  
Series Data

scholarly journals Temporal Variation of Rainfall in the Bagmati River Basin, Nepal

2016 ◽  
Vol 16 (1) ◽  
pp. 31-40 ◽  
Author(s):  
Rajendra Man Shrestha ◽  
Azaya Bikram Sthapit
Keyword(s):  
Time Series ◽  
Temporal Variation ◽  
River Basin ◽  
Summer Monsoon ◽  
Time Series Data ◽  
Monsoon Season ◽  
Series Data ◽  
Upward Trend ◽  
Areal Rainfall ◽  
Bagmati River

The main aim of the study was to identify the temporal variation of rainfall in the Bagmati River basin, Nepal using  data available at Department of Hydrology and Meteorology, Government of Nepal. The time series data for the  period of 1981-2008 were analyzed by using non-parametric Mann-Kendal test, Spearman’s’ Rho and a parametric  linear regression. The results showed that there was a significantly increasing upward trend of the annual mean of  weighted areal rainfall, with a rate of 2.2 mm per year. Trend analysis of the monthly time series of weighted areal  rainfall showed a significant upward trend in the months of summer monsoon season (June and July). However,  there were no such significant result in the other season/months. The increasing trend in the summer monsoon  might lead to severe flooding in future.Nepal Journal of Science and Technology Vol. 16, No.1 (2015) pp. 31-40

scholarly journals Measuring the Impact of Financial News and Social Media on Stock Market Modeling Using Time Series Mining Techniques

Algorithms ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 181 ◽  
Author(s):  
Foteini Kollintza-Kyriakoulia ◽  
Manolis Maragoudakis ◽  
Anastasia Krithara
Keyword(s):  
Social Media ◽  
Time Series ◽  
Time Series Data ◽  
Technical Analysis ◽  
Series Data ◽  
Textual Information ◽  
Public Opinions ◽  
Time Periods ◽  
The Impact ◽  
Matching Techniques

In this work, we study the task of predicting the closing price of the following day of a stock, based on technical analysis, news articles and public opinions. The intuition of this study lies in the fact that technical analysis contains information about the event, but not the cause of the change, while data like news articles and public opinions may be interpreted as a cause. The paper uses time series analysis techniques such as Symbolic Aggregate Approximation (SAX) and Dynamic Time Warping (DTW) to study the existence of a relation between price data and textual information, either from news or social media. Pattern matching techniques from time series data are also incorporated, in order to experimentally validate potential correlations of price and textual information within given time periods. The ultimate goal is to create a forecasting model that exploits the previously discovered patterns in order to augment the forecasting accuracy. Results obtained from the experimental phase are promising. The performance of the classifier shows clear signs of improvement and robustness within the time periods where patterns between stock price and the textual information have been identified, compared to the periods where patterns did not exist.

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