<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing with OASIS Tables v3.0 20080202//EN" "journalpub-oasis3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" xml:lang="en" dtd-version="3.0"><?xmltex \bartext{Tenth International Symposium on Land Subsidence (TISOLS)}?>
  <front>
    <journal-meta><journal-id journal-id-type="publisher">PIAHS</journal-id><journal-title-group>
    <journal-title>Proceedings of the International Association of Hydrological Sciences</journal-title>
    <abbrev-journal-title abbrev-type="publisher">PIAHS</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Proc. IAHS</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">2199-899X</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/piahs-382-131-2020</article-id><title-group><article-title>Spatial–temporal characterization of land<?xmltex \hack{\break}?> subsidence induced by large area<?xmltex \hack{\break}?> distribution of recent dredger fill</article-title><alt-title>Land subsidence induced by recent dredger fill</alt-title>
      </title-group><?xmltex \runningtitle{Land subsidence induced by recent dredger fill}?><?xmltex \runningauthor{J. Lin et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2 aff3">
          <name><surname>Lin</surname><given-names>Jinxin</given-names></name>
          <email>ljxsupper@126.com</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2 aff3">
          <name><surname>Wang</surname><given-names>Hanmei</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2 aff3">
          <name><surname>Yang</surname><given-names>Tianliang</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2 aff3">
          <name><surname>Huang</surname><given-names>Xinlei</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Key Laboratory of Land Subsidence Monitoring and Prevention, <?xmltex \hack{\break}?> Ministry
of Land and Resource of China, Shanghai, 200072, China</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Shanghai Engineering Research Center of Land Subsidence, Shanghai,
200072, China</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Shanghai Institute of Geological Survey, Shanghai, 200072, China</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Jinxin Lin (ljxsupper@126.com)</corresp></author-notes><pub-date><day>22</day><month>April</month><year>2020</year></pub-date>
      
      <volume>382</volume>
      <fpage>131</fpage><lpage>135</lpage>
      
      <permissions>
        <copyright-statement>Copyright: © 2020 Jinxin Lin et al.</copyright-statement>
        <copyright-year>2020</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://piahs.copernicus.org/articles/382/131/2020/piahs-382-131-2020.html">This article is available from https://piahs.copernicus.org/articles/382/131/2020/piahs-382-131-2020.html</self-uri><self-uri xlink:href="https://piahs.copernicus.org/articles/382/131/2020/piahs-382-131-2020.pdf">The full text article is available as a PDF file from https://piahs.copernicus.org/articles/382/131/2020/piahs-382-131-2020.pdf</self-uri>
      <abstract><title>Abstract</title>
    <p id="d1e114">Large-scale land subsidence often occurs after
large-scale land formation caused by dredger fill, which affects the sustainable
development of the region. In order to prevent and control land subsidence
in the area with dredger fill, the characteristics of land subsidence and
its main influencing factors need to be studied. A typical region was
examined using geological survey data, land-level monitoring and comparative
analysis, to provide insight regarding the variability of dredger-fill
characteristics and impacts on land subsidence. The geological survey
results provided the information about burial distribution characteristics
of dredger fill and its underlying soil layers. The land-level monitoring
results were analyzed to characterize the spatial–temporal distribution of
land subsidence. The comparative analysis of land subsidence with the
formation time, soil properties, thicknesses of dredger fill and the lower
soft soil layer provided information about the different impacts. The
monitoring results show that the land subsidence of dredger fill areas was
substantially larger than that of adjacent areas. The later the filling was
formed, the thicker the filling is, and the more clay-rich the soil property and
the thicker the soft soil layer is, the larger the land subsidence is.
Finally, the future trend of land subsidence in the study area are given and
some suggestions on the prevention and control of land subsidence are also given.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e126">Many coastal cities require large-scale urban construction and expansion of
urban development space, as the rapid development and the population
increases. But limited land resources seriously restrict the development.
Reclamation is an important measure to solve the shortage of land resources
in coastal cities. It is also a way to dredge silt and clean the coastal
water environment (Huabo et al., 2016). There is a Chinese coastal city with
substantial historical land subsidence (Shujun et al., 2016), needed to
expand urban development space and therefore formed a large area using
dredger filling distribution techniques (Linbo et al.,
2019).</p>
      <p id="d1e129">The abovementioned city is situated on the west coast of the Pacific Ocean, the east coast
of the Asian continent, and the central point of China's north–south coast.
There is a large area of dredger fill in the coastal area in the abovementioned city (Chen et al., 2018; Linbo et al.,
2019). The area was rapidly formed and because it was underconsolidated, and it
settled. Moreover, the large area of dredger fill caused additional
subsidence from compaction of the lower soft soil layer. The research on
dredger fill has mainly focused on the engineering characteristics of
dredger fill, the deformation and strength of dredger fill, and the
engineering treatment technology of dredger fill foundations. Few studies
have been done on the characteristics of regional land subsidence in large
areas of dredger fill. In these new large land areas, InSAR is a good way to
study land subsidence (Qing et al., 2011). However, the accuracy and
reliability of InSAR monitoring results are not as good as that of
high-precision leveling monitoring.</p>
      <?pagebreak page132?><p id="d1e132">This study's objectives are to understand the impact of dredger fill and
provide useful information for coastal city planning and construction. Based
on the variable distribution of dredger fill in a Chinese coastal city and the land-level
monitoring results over several years, this paper analyzes the spatial and
temporal characteristics of land subsidence induced by the distribution of
recent dredger fill over a large area and studies the influence of the
differences of dredger fill soil properties, thickness, formation time and
the underlying soil layer on land subsidence.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Analysis of influencing factors in the study area</title>
      <p id="d1e143">There are five main confined aquifers in the study city. From shallow to deep,
they are called the first, second, third, fourth, and fifth confined
aquifers respectively. Groundwater exploitation in these aquifers is the
main cause of land subsidence in the study city (Yun et al., 2015).</p>
      <p id="d1e146">With field investigation and collected groundwater exploitation data in
the study city, a new coastal land formation that did not undergo groundwater exploitation
from 2013 to 2017 was selected as the study area. In the study area, the
groundwater level of five confined aquifers steadily increased during that
period. Water level of the first confined aquifer increased by about 0.5 m.
Water levels of the second, third and fourth confined aquifer increased by
between 2 and 3 m. And water level of the fifth confined aquifer
increased by about 5.0 m. Therefore, the influence of groundwater on land
subsidence should not be the main factor in the study area. Additionally,
there were no large-scale construction activities from 2013 to 2017 in the
study area. We conclude that the large-scale distribution of dredger fill is
the main factor causing land subsidence in the study area.</p>
      <p id="d1e149">To provide insight regarding the variability of dredger-fill characteristics
and impacts on land subsidence, 14 leveling points were selected for
comparison. Their relative positions and numbers are shown in Fig. 1. The
ocean lies to the east of these leveling points.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><?xmltex \currentcnt{1}?><label>Figure 1</label><caption><p id="d1e155">The relative positions and numbers of leveling points.</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://piahs.copernicus.org/articles/382/131/2020/piahs-382-131-2020-f01.png"/>

      </fig>

<?xmltex \hack{\newpage}?>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>Influences of formation time of dredger fill</title>
      <p id="d1e173">In the study area, the dredger fills nearer to the sea were formed later. The formation time has a great influence on the recent land
subsidence. In order to understand this effect, we assigned the same
properties and thicknesses but different formation times to make the
comparison.</p>
      <p id="d1e176">In leveling points D004 and D005, dredger fill was formed earlier in the process. In D009 and D010, dredger fill was formed later. The
cumulative subsidence of D004, D005, D009 and D010 from 2013 to 2017 was
26.03, 28.42, 45.95, and 59.25 mm, respectively (Fig. 2). The newer the
fill is, the larger the accumulated subsidence was.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2"><?xmltex \currentcnt{2}?><label>Figure 2</label><caption><p id="d1e181">Land subsidence curves (D004 and D005 dredger fill formed earlier,
D009 and D010 formed later).</p></caption>
          <?xmltex \igopts{width=227.622047pt}?><graphic xlink:href="https://piahs.copernicus.org/articles/382/131/2020/piahs-382-131-2020-f02.png"/>

        </fig>

      <p id="d1e191">Since some leveling points providing comparative data were buried in
2012–2013, in order to reduce the impact of the stability of the monitoring
facilities, the data after 2013 was used in the comparative study.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>Influences of soil properties of dredger fill</title>
      <p id="d1e202">Dredger fill can be divided into silty soil and clay soil according to
filling composition in the study area. For this comparison, we assigned the
same formation time and thicknesses of dredger fill but different soil
properties to make the comparison.</p>
      <p id="d1e205">Leveling point D001 is where there is silty dredger fill and D002 is where
there is clay dredger fill. The cumulative subsidence of D001 and D002 from
2013 to 2017 was 14.54 and 22.01 mm, respectively (Fig. 3). So when the
thickness, formation time and underlying soil layer are similar, the
presence of clay soil resulted in more subsidence than that of silty soil.
Furthermore, the subsidence rate decreases with time.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><?xmltex \currentcnt{3}?><label>Figure 3</label><caption><p id="d1e210">Land subsidence curves (silty dredger at D001 and clay dredger at
D002).</p></caption>
          <?xmltex \igopts{width=227.622047pt}?><graphic xlink:href="https://piahs.copernicus.org/articles/382/131/2020/piahs-382-131-2020-f03.png"/>

        </fig>

<?xmltex \hack{\newpage}?>
</sec>
<?pagebreak page133?><sec id="Ch1.S2.SS3">
  <label>2.3</label><title>Influences of the thickness of dredger fill</title>
      <p id="d1e229">To examine the effect on subsidence from the thickness of dredger fill, we
assigned the same formation time and soil properties but different
thicknesses of dredger fill to make the comparison.</p>
      <p id="d1e232">Leveling points D014 and D013 are where the thickness of dredger fill is
about 3.5 m. D012 and D011 are where the thickness of dredger fill is about
2.5 m. The cumulative subsidence of D014, D013, D012 and D011 from 2013 to
2017 was 109.84, 91.79, 77.92, and 73.52 mm, respectively (Fig. 4).
Divided by their respective thicknesses, the computed results are 31.38,
26.23, 31.17, and 29.41 mm m<inline-formula><mml:math id="M1" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. These values are very similar; therefore, the
subsidence was approximately proportional to the thickness of dredger fill.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><?xmltex \currentcnt{4}?><label>Figure 4</label><caption><p id="d1e249">Land subsidence curves (the thickness of dredger fill at D014 and
D013 is about 3.5 m; the thickness of dredger fill at D012 and D011 is about
2.5 m).</p></caption>
          <?xmltex \igopts{width=227.622047pt}?><graphic xlink:href="https://piahs.copernicus.org/articles/382/131/2020/piahs-382-131-2020-f04.png"/>

        </fig>

</sec>
<sec id="Ch1.S2.SS4">
  <label>2.4</label><title>Influences of the thickness of lower soft soil layer</title>
      <p id="d1e266">According to “Code for investigation of geotechnical engineering”
(DGJ08-37-2012), the engineering geological layers are unified in the study city.
There are 11 engineering geological layers and several sublayers 100 m
below the surface. The sequence numbers are (1)<inline-formula><mml:math id="M2" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:math></inline-formula>, (1)<inline-formula><mml:math id="M3" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, (1)<inline-formula><mml:math id="M4" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>,
(2)<inline-formula><mml:math id="M5" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:math></inline-formula>, (2)<inline-formula><mml:math id="M6" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, (2)<inline-formula><mml:math id="M7" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, (3)<inline-formula><mml:math id="M8" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:math></inline-formula>, (3)<inline-formula><mml:math id="M9" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, (3)<inline-formula><mml:math id="M10" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, (4), (5)<inline-formula><mml:math id="M11" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:math></inline-formula>,
(5)<inline-formula><mml:math id="M12" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, (5)<inline-formula><mml:math id="M13" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, (5)<inline-formula><mml:math id="M14" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>, (6)<inline-formula><mml:math id="M15" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:math></inline-formula>, (6)<inline-formula><mml:math id="M16" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, (6)<inline-formula><mml:math id="M17" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, (6)<inline-formula><mml:math id="M18" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>,
(7)<inline-formula><mml:math id="M19" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:math></inline-formula>, (7)<inline-formula><mml:math id="M20" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, (8)<inline-formula><mml:math id="M21" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:math></inline-formula>, (8)<inline-formula><mml:math id="M22" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, (9)<inline-formula><mml:math id="M23" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:math></inline-formula>, (9)<inline-formula><mml:math id="M24" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, (10), and (11). The order
of the lower soil layer (within 40 m depth) from top to bottom below the
dredger fill in the study area are shallow sand layer (2)<inline-formula><mml:math id="M25" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, soft soil
layer (3) <inline-formula><mml:math id="M26" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> (4), clayey soil layer (5), hard soil layer (6) and lower sand
layer (7). The sequence numbers of dredger fill layers are (1)<inline-formula><mml:math id="M27" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>. The
distribution of dredger fill adds a load to the underlying layers, which
could cause compaction of those underlying soil layers. The soft soil layer
(3) <inline-formula><mml:math id="M28" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> (4) is highly compressible and sensitivity.</p>
      <p id="d1e512">We assigned the same formation time, soil properties, and thicknesses of
dredger fill but different thicknesses of the soft soil layer (3) <inline-formula><mml:math id="M29" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> (4) to make
the comparison.</p>
      <p id="d1e522">Leveling point number D008 is where the thickness of the soft soil layer (3) <inline-formula><mml:math id="M30" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> (4)
is about 7 m; D007 and D006 are where the thickness of the soft soil layer (3) <inline-formula><mml:math id="M31" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> (4)
is about 5 m; and D003 is where the thickness of the soft soil layer (3) <inline-formula><mml:math id="M32" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> (4) is
about 3.5 m. The cumulative subsidence of D008, D007, D006 and D003 from 2013
to 2017 was 58.77, 43.48, 43.56, and 32.09 mm, respectively (Fig. 5).
Divided by their respective thicknesses, the computed results are 8.40,
8.70, 8.71, and 9.17 mm m<inline-formula><mml:math id="M33" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. These values are very close; therefore the
subsidence is approximately proportional to the thickness of the soft soil layer
(3) <inline-formula><mml:math id="M34" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> (4).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><?xmltex \currentcnt{5}?><label>Figure 5</label><caption><p id="d1e568">Land subsidence curves (the thickness of the lower soft soil layer
(3) <inline-formula><mml:math id="M35" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> (4) at D008 is about 7 m, the thickness of layer (3) <inline-formula><mml:math id="M36" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> (4) at D007 and D006 is
about 5 m, and the thickness of layer (3) <inline-formula><mml:math id="M37" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> (4) at D003 is about 3.5 m).</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://piahs.copernicus.org/articles/382/131/2020/piahs-382-131-2020-f05.png"/>

        </fig>

</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Future trend analysis of land subsidence in the study area</title>
      <p id="d1e607">According to the law “Regulations of Shanghai Municipality on the Administration of Prevention and Control of Ground Subsidence” issued by Shanghai government in 2013 and the “Shanghai Urban Master Plan (2017–2035)” issued by<?pagebreak page134?> Shanghai government in 2018, the possibility of large-scale groundwater exploitation in the
study area is very small. Our analysis indicated the main factors
influencing subsidence have been, and are likely to be in the future, the
large-scale distribution of dredger fill and engineering construction
activities. The later the filling is formed, the thicker the filling and the
more clay-rich the soil will be; the thicker the soft soil layer, the larger the
land subsidence effect will be.</p>
      <p id="d1e610">According to the definition of the average consolidation degree of soil layer,
          <disp-formula id="Ch1.E1" content-type="numbered"><label>1</label><mml:math id="M38" display="block"><mml:mrow><mml:msub><mml:mi>U</mml:mi><mml:mi>t</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mi>s</mml:mi><mml:mi>t</mml:mi></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mi>s</mml:mi><mml:mi mathvariant="normal">∞</mml:mi></mml:msub></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
        where <inline-formula><mml:math id="M39" display="inline"><mml:mrow><mml:msub><mml:mi>U</mml:mi><mml:mi>t</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the average degree of consolidation of the soil
layer, <inline-formula><mml:math id="M40" display="inline"><mml:mrow><mml:msub><mml:mi>s</mml:mi><mml:mi mathvariant="normal">∞</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the final compaction of the soil layer,
and <inline-formula><mml:math id="M41" display="inline"><mml:mrow><mml:msub><mml:mi>s</mml:mi><mml:mi>t</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the compaction of the soil layer in time <inline-formula><mml:math id="M42" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula>.</p>
      <p id="d1e682">The relationship between the degree of consolidation and time of large area
dredger fill due to self-weight pressure and its load on lower soil layer
can be written in the following unified form:
          <disp-formula id="Ch1.E2" content-type="numbered"><label>2</label><mml:math id="M43" display="block"><mml:mrow><mml:msub><mml:mi>U</mml:mi><mml:mi>t</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn><mml:mo>-</mml:mo><mml:mi>a</mml:mi><mml:msup><mml:mi>e</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mi>b</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msup><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
        where <inline-formula><mml:math id="M44" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M45" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula> are the parameters. Then,
          <disp-formula id="Ch1.E3" content-type="numbered"><label>3</label><mml:math id="M46" display="block"><mml:mrow><mml:msub><mml:mi>s</mml:mi><mml:mi>t</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mo>(</mml:mo><mml:mn mathvariant="normal">1</mml:mn><mml:mo>-</mml:mo><mml:mi>a</mml:mi><mml:msup><mml:mi>e</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mi>b</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msup><mml:mo>)</mml:mo><mml:msub><mml:mi>s</mml:mi><mml:mi mathvariant="normal">∞</mml:mi></mml:msub><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula>
        Equation (3) was used to fit the multi-year leveling monitoring data. The
fitting results are shown in Fig. 6 and indicate that subsidence caused
from the impact of the dredger fill gradually diminishes.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6"><?xmltex \currentcnt{6}?><label>Figure 6</label><caption><p id="d1e773">Fitting and forecasting curves of land subsidence.</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://piahs.copernicus.org/articles/382/131/2020/piahs-382-131-2020-f06.png"/>

      </fig>

</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <label>4</label><title>Conclusions and discussion</title>
      <p id="d1e790">The distribution of dredger fills over a large area is the main influencing
factor of land subsidence in the study area. The differences of formation
time, soil properties, thickness of dredger fill, and the thickness of soft
soil layer result in differential land subsidence in the study area. The
analysis presented here indicates that land subsidence will continue but
subsidence rates will decrease and eventually stop.</p>
      <p id="d1e793">This study needs further research and more data to support the research
conclusion more comprehensively, and to establish the quantitative
relationship between the various elements of dredger fill and land
subsidence. Based on the investigation and monitoring results, it is
necessary to study the prediction method and numerical calculation model of
land subsidence in the dredger fill area.</p>
      <p id="d1e796">In order to provide more accurate land-subsidence information for government
decision-making in the large area of dredger fill, we should strengthen the
construction of monitoring networks to provide early warnings of subsidence
risk. Dredger fill treatment should be carried out before construction,
strict groundwater control should be implemented, and urban construction
should be planned rationally.</p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability"><title>Data availability</title>

      <p id="d1e804">The raw/processed data required to reproduce these findings cannot be shared at this time, as the data also forms part of an ongoing study.</p>
  </notes><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e810">JL provided the main research ideas and was responsible for writing the paper. HW and TY contributed to the comparative analysis of some influencing factors. XH was responsible for drawing the main figures.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e816">The authors declare that they have no conflict of interest.</p>
  </notes><notes notes-type="sistatement"><title>Special issue statement</title>

      <p id="d1e822">This article is part of the special issue “TISOLS: the Tenth International Symposium On Land Subsidence – living with subsidence”. It is a result of the Tenth International Symposium on Land Subsidence, Delft, the Netherlands, 17–21 May 2021.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e828">The authors thank the geological environment monitoring department of the
Shanghai Institute of Geological Survey for the monitoring data.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e833">This research has been supported by the IGCP (grant no. IGCP-663), the Shanghai Science and Technology Commission (grant no. 18DZ1201100), and the Shanghai Municipal Bureau of Human Resources and Social Security (“Study on land subsidence mechanism and safety warning in new land reclamation area”).</p>
  </notes><ref-list>
    <title>References</title>

      <ref id="bib1.bib1"><label>1</label><?label 1?><mixed-citation>Chen, L., Ren, C., and Zhang, B.: Spatiotemporal Dynamics of Coastal Wetlands
and Reclamation in the Yangtze Estuary During Past 50 Years (1960s–2015),
Chinese Geogr. Sci., 28, 386–399, <ext-link xlink:href="https://doi.org/10.1007/s11769-017-0925-3" ext-link-type="DOI">10.1007/s11769-017-0925-3</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib2"><label>2</label><?label 1?><mixed-citation>Huabo, D., Hui, Z., and Qifei, H.: Characterization and environmental impact
analysis of sea land reclamation activities in China,  Ocean Coast.
Manage., 130, 128–137, <ext-link xlink:href="https://doi.org/10.1016/j.ocecoaman.2016.06.006" ext-link-type="DOI">10.1016/j.ocecoaman.2016.06.006</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib3"><label>3</label><?label 1?><mixed-citation>Linbo, W.,
Jianxiu, W., and Jie, Z.: Multi-scale geotechnical features of dredger fills
and subsidence risk evaluation in reclaimed land using BN, J. Mar.
Georesour. Geotec.,   <ext-link xlink:href="https://doi.org/10.1080/1064119X.2019.1644406" ext-link-type="DOI">10.1080/1064119X.2019.1644406</ext-link>, online first, 2019.
</mixed-citation></ref><?xmltex \hack{\newpage}?>
      <ref id="bib1.bib4"><label>4</label><?label 1?><mixed-citation>Qing, Z., Hui, L., and Wei, G.: InSAR detection of residual subsidence of an
ocean reclamation engineering project a case study of Hong Kong
International airport, J. Oceanogr.,
67, 415–426, <ext-link xlink:href="https://doi.org/10.1007/s10872-011-0034-3" ext-link-type="DOI">10.1007/s10872-011-0034-3</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib5"><label>5</label><?label 1?><mixed-citation>Shujun, Y., Yuqun, X., and Jichun, W.: Progression and mitigation of land
subsidence in China, Hydrogeol. J., 24, 685–693, <ext-link xlink:href="https://doi.org/10.1007/s10040-015-1356-9" ext-link-type="DOI">10.1007/s10040-015-1356-9</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib6"><label>6</label><?label 1?><mixed-citation>Yun, Z., Jichun, W., and Yuqun, X.: Land subsidence and uplift due to long-term
groundwater extraction and artificial recharge in Shanghai, China,
Hydrogeol. J., 23, 1851–1866, <ext-link xlink:href="https://doi.org/10.1007/s10040-015-1302-x" ext-link-type="DOI">10.1007/s10040-015-1302-x</ext-link>, 2015.</mixed-citation></ref>

  </ref-list></back>
    <!--<article-title-html>Spatial–temporal characterization of land subsidence induced by large area distribution of recent dredger fill</article-title-html>
<abstract-html><p>Large-scale land subsidence often occurs after
large-scale land formation caused by dredger fill, which affects the sustainable
development of the region. In order to prevent and control land subsidence
in the area with dredger fill, the characteristics of land subsidence and
its main influencing factors need to be studied. A typical region was
examined using geological survey data, land-level monitoring and comparative
analysis, to provide insight regarding the variability of dredger-fill
characteristics and impacts on land subsidence. The geological survey
results provided the information about burial distribution characteristics
of dredger fill and its underlying soil layers. The land-level monitoring
results were analyzed to characterize the spatial–temporal distribution of
land subsidence. The comparative analysis of land subsidence with the
formation time, soil properties, thicknesses of dredger fill and the lower
soft soil layer provided information about the different impacts. The
monitoring results show that the land subsidence of dredger fill areas was
substantially larger than that of adjacent areas. The later the filling was
formed, the thicker the filling is, and the more clay-rich the soil property and
the thicker the soft soil layer is, the larger the land subsidence is.
Finally, the future trend of land subsidence in the study area are given and
some suggestions on the prevention and control of land subsidence are also given.</p></abstract-html>
<ref-html id="bib1.bib1"><label>1</label><mixed-citation>
Chen, L., Ren, C., and Zhang, B.: Spatiotemporal Dynamics of Coastal Wetlands
and Reclamation in the Yangtze Estuary During Past 50 Years (1960s–2015),
Chinese Geogr. Sci., 28, 386–399, <a href="https://doi.org/10.1007/s11769-017-0925-3" target="_blank">https://doi.org/10.1007/s11769-017-0925-3</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>2</label><mixed-citation>
Huabo, D., Hui, Z., and Qifei, H.: Characterization and environmental impact
analysis of sea land reclamation activities in China,  Ocean Coast.
Manage., 130, 128–137, <a href="https://doi.org/10.1016/j.ocecoaman.2016.06.006" target="_blank">https://doi.org/10.1016/j.ocecoaman.2016.06.006</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>3</label><mixed-citation>
Linbo, W.,
Jianxiu, W., and Jie, Z.: Multi-scale geotechnical features of dredger fills
and subsidence risk evaluation in reclaimed land using BN, J. Mar.
Georesour. Geotec.,   <a href="https://doi.org/10.1080/1064119X.2019.1644406" target="_blank">https://doi.org/10.1080/1064119X.2019.1644406</a>, online first, 2019.

</mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>4</label><mixed-citation>
Qing, Z., Hui, L., and Wei, G.: InSAR detection of residual subsidence of an
ocean reclamation engineering project a case study of Hong Kong
International airport, J. Oceanogr.,
67, 415–426, <a href="https://doi.org/10.1007/s10872-011-0034-3" target="_blank">https://doi.org/10.1007/s10872-011-0034-3</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>5</label><mixed-citation>
Shujun, Y., Yuqun, X., and Jichun, W.: Progression and mitigation of land
subsidence in China, Hydrogeol. J., 24, 685–693, <a href="https://doi.org/10.1007/s10040-015-1356-9" target="_blank">https://doi.org/10.1007/s10040-015-1356-9</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>6</label><mixed-citation>
Yun, Z., Jichun, W., and Yuqun, X.: Land subsidence and uplift due to long-term
groundwater extraction and artificial recharge in Shanghai, China,
Hydrogeol. J., 23, 1851–1866, <a href="https://doi.org/10.1007/s10040-015-1302-x" target="_blank">https://doi.org/10.1007/s10040-015-1302-x</a>, 2015.
</mixed-citation></ref-html>--></article>
